Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c1d7' (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/9534016-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.4
PID: 5083
Logging PID: 5085
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': False,
 'build_id': 9534016,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '9656d10c334b27224f0d5d72d30068a275babfa5',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/davidsch/testing/python-xbout',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-xbout',
 'package_version': '0.3.6-6',
 'project_dirname': 'testing',
 'project_name': 'testing',
 'project_owner': 'davidsch',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/davidsch/testing/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'davidsch/testing--davidsch',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'davidsch',
 'tags': [],
 'task_id': '9534016-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/davidsch/testing/python-xbout /var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/davidsch/testing/python-xbout', '/var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout'...

Running: git checkout 9656d10c334b27224f0d5d72d30068a275babfa5 --

cmd: ['git', 'checkout', '9656d10c334b27224f0d5d72d30068a275babfa5', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout
rc: 0
stdout: 
stderr: Note: switching to '9656d10c334b27224f0d5d72d30068a275babfa5'.

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 9656d10 automatic import of python-xbout

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/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/davidsch/testing/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  37.9M      0 --:--:-- --:--:-- --:--:-- 38.1M
INFO: Reading stdout from command: md5sum xbout-0.3.6.tar.gz

tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1757333401.214824 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.3 starting (python version = 3.13.5, NVR = mock-6.3-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-3dru4nab/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1757333401.214824 -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-3dru4nab/python-xbout/python-xbout.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.3
INFO: Mock Version: 6.3
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1757333401.214824/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-675e4f40-ac17-4291-9f4f-1fa7bf681038
INFO: Checking that 17bffe442d7b179007e38d841cf9a2f7547fe33d33ee3b73615ab4595d4fcdfa image matches host's architecture
INFO: Copy content of container 17bffe442d7b179007e38d841cf9a2f7547fe33d33ee3b73615ab4595d4fcdfa to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1757333401.214824/root
INFO: mounting 17bffe442d7b179007e38d841cf9a2f7547fe33d33ee3b73615ab4595d4fcdfa with podman image mount
INFO: image 17bffe442d7b179007e38d841cf9a2f7547fe33d33ee3b73615ab4595d4fcdfa as /var/lib/containers/storage/overlay/0a42c98b554272d5fa835b592117910d85f5e7fd09f5a7cef02d1d95ee3a577f/merged
INFO: umounting image 17bffe442d7b179007e38d841cf9a2f7547fe33d33ee3b73615ab4595d4fcdfa (/var/lib/containers/storage/overlay/0a42c98b554272d5fa835b592117910d85f5e7fd09f5a7cef02d1d95ee3a577f/merged) with podman image umount
INFO: Removing image mock-bootstrap-675e4f40-ac17-4291-9f4f-1fa7bf681038
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_64-1757333401.214824/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-5.99.92-1.fc44.x86_64
  rpm-sequoia-1.9.0-2.fc43.x86_64
  dnf5-5.2.17.0-1.fc44.x86_64
  dnf5-plugins-5.2.17.0-1.fc44.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 Copr repository                        100% |  70.2 KiB/s |  10.0 KiB |  00m00s
 fedora                                 100% |  18.3 MiB/s |  21.8 MiB |  00m01s
Repositories loaded.
Package                            Arch   Version                    Repository      Size
Installing group/module packages:
 bash                              x86_64 5.3.0-2.fc43               fedora       8.4 MiB
 bzip2                             x86_64 1.0.8-21.fc43              fedora      95.3 KiB
 coreutils                         x86_64 9.7-5.fc43                 fedora       5.4 MiB
 cpio                              x86_64 2.15-6.fc43                fedora       1.1 MiB
 diffutils                         x86_64 3.12-3.fc43                fedora       1.6 MiB
 fedora-release-common             noarch 44-0.2                     fedora      20.4 KiB
 findutils                         x86_64 1:4.10.0-6.fc43            fedora       1.8 MiB
 gawk                              x86_64 5.3.2-2.fc43               fedora       1.8 MiB
 glibc-minimal-langpack            x86_64 2.42.9000-4.fc44           fedora       0.0   B
 grep                              x86_64 3.12-2.fc43                fedora       1.0 MiB
 gzip                              x86_64 1.14-1.fc44                fedora     397.8 KiB
 info                              x86_64 7.2-6.fc43                 fedora     353.9 KiB
 patch                             x86_64 2.8-2.fc43                 fedora     222.8 KiB
 redhat-rpm-config                 noarch 343-13.fc44                fedora     183.2 KiB
 rpm-build                         x86_64 5.99.92-1.fc44             fedora     285.5 KiB
 sed                               x86_64 4.9-5.fc43                 fedora     857.3 KiB
 shadow-utils                      x86_64 2:4.18.0-3.fc43            fedora       3.9 MiB
 tar                               x86_64 2:1.35-6.fc43              fedora       2.9 MiB
 unzip                             x86_64 6.0-68.fc44                fedora     390.3 KiB
 util-linux                        x86_64 2.41.1-16.fc44             fedora       3.5 MiB
 which                             x86_64 2.23-3.fc43                fedora      83.5 KiB
 xz                                x86_64 1:5.8.1-2.fc43             fedora       1.3 MiB
Installing dependencies:
 add-determinism                   x86_64 0.6.0-2.fc43               fedora       2.4 MiB
 alternatives                      x86_64 1.33-2.fc43                fedora      62.2 KiB
 ansible-srpm-macros               noarch 1-18.1.fc43                fedora      35.7 KiB
 audit-libs                        x86_64 4.1.1-2.fc44               fedora     378.9 KiB
 binutils                          x86_64 2.45-3.fc44                fedora      26.5 MiB
 build-reproducibility-srpm-macros noarch 0.6.0-2.fc43               fedora     735.0   B
 bzip2-libs                        x86_64 1.0.8-21.fc43              fedora      80.6 KiB
 ca-certificates                   noarch 2025.2.80_v9.0.304-2.fc44  fedora       2.7 MiB
 coreutils-common                  x86_64 9.7-5.fc43                 fedora      11.3 MiB
 crypto-policies                   noarch 20250714-4.gitcd6043a.fc44 fedora     146.9 KiB
 curl                              x86_64 8.16.0~rc3-1.fc44          fedora     475.3 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-33.fc44             fedora       2.3 MiB
 debugedit                         x86_64 5.2-3.fc44                 fedora     214.0 KiB
 dwz                               x86_64 0.16-2.fc43                fedora     287.1 KiB
 ed                                x86_64 1.22.2-1.fc44              fedora     148.1 KiB
 efi-srpm-macros                   noarch 6-4.fc43                   fedora      40.1 KiB
 elfutils                          x86_64 0.193-3.fc43               fedora       2.9 MiB
 elfutils-debuginfod-client        x86_64 0.193-3.fc43               fedora      83.9 KiB
 elfutils-default-yama-scope       noarch 0.193-3.fc43               fedora       1.8 KiB
 elfutils-libelf                   x86_64 0.193-3.fc43               fedora       1.2 MiB
 elfutils-libs                     x86_64 0.193-3.fc43               fedora     683.4 KiB
 fedora-gpg-keys                   noarch 44-0.1                     fedora     131.2 KiB
 fedora-release                    noarch 44-0.2                     fedora       0.0   B
 fedora-release-identity-basic     noarch 44-0.2                     fedora     664.0   B
 fedora-repos                      noarch 44-0.1                     fedora       4.9 KiB
 fedora-repos-rawhide              noarch 44-0.1                     fedora       2.2 KiB
 file                              x86_64 5.46-7.fc44                fedora     100.2 KiB
 file-libs                         x86_64 5.46-7.fc44                fedora      11.9 MiB
 filesystem                        x86_64 3.18-50.fc43               fedora     112.0   B
 filesystem-srpm-macros            noarch 3.18-50.fc43               fedora      38.2 KiB
 fonts-srpm-macros                 noarch 1:2.0.5-23.fc43            fedora      55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-3.fc43               fedora      38.9 KiB
 fpc-srpm-macros                   noarch 1.3-15.fc43                fedora     144.0   B
 gap-srpm-macros                   noarch 1-1.fc44                   fedora       2.0 KiB
 gdb-minimal                       x86_64 16.3-5.fc44                fedora      13.3 MiB
 gdbm-libs                         x86_64 1:1.23-10.fc43             fedora     129.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-3.fc43               fedora     779.0   B
 glibc                             x86_64 2.42.9000-4.fc44           fedora       6.7 MiB
 glibc-common                      x86_64 2.42.9000-4.fc44           fedora       1.0 MiB
 glibc-gconv-extra                 x86_64 2.42.9000-4.fc44           fedora       7.2 MiB
 gmp                               x86_64 1:6.3.0-4.fc44             fedora     815.3 KiB
 gnat-srpm-macros                  noarch 6-8.fc43                   fedora       1.0 KiB
 gnupg2                            x86_64 2.4.8-4.fc43               fedora       6.5 MiB
 gnupg2-dirmngr                    x86_64 2.4.8-4.fc43               fedora     618.4 KiB
 gnupg2-gpg-agent                  x86_64 2.4.8-4.fc43               fedora     671.4 KiB
 gnupg2-gpgconf                    x86_64 2.4.8-4.fc43               fedora     250.0 KiB
 gnupg2-keyboxd                    x86_64 2.4.8-4.fc43               fedora     201.4 KiB
 gnupg2-verify                     x86_64 2.4.8-4.fc43               fedora     348.5 KiB
 gnutls                            x86_64 3.8.10-3.fc43              fedora       3.8 MiB
 go-srpm-macros                    noarch 3.8.0-1.fc44               fedora      61.9 KiB
 gpgverify                         noarch 2.2-3.fc43                 fedora       8.7 KiB
 ima-evm-utils-libs                x86_64 1.6.2-6.fc43               fedora      60.7 KiB
 jansson                           x86_64 2.14-3.fc43                fedora      89.1 KiB
 java-srpm-macros                  noarch 1-7.fc43                   fedora     870.0   B
 json-c                            x86_64 0.18-7.fc43                fedora      82.7 KiB
 kernel-srpm-macros                noarch 1.0-27.fc43                fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-6.fc43               fedora      54.3 KiB
 krb5-libs                         x86_64 1.21.3-7.fc43              fedora       2.3 MiB
 libacl                            x86_64 2.3.2-4.fc43               fedora      35.9 KiB
 libarchive                        x86_64 3.8.1-3.fc43               fedora     951.1 KiB
 libassuan                         x86_64 2.5.7-4.fc43               fedora     163.8 KiB
 libattr                           x86_64 2.5.2-6.fc43               fedora      24.4 KiB
 libblkid                          x86_64 2.41.1-16.fc44             fedora     262.4 KiB
 libbrotli                         x86_64 1.1.0-9.fc44               fedora     833.3 KiB
 libcap                            x86_64 2.76-3.fc44                fedora     209.1 KiB
 libcap-ng                         x86_64 0.8.5-7.fc44               fedora      68.9 KiB
 libcom_err                        x86_64 1.47.3-2.fc43              fedora      63.1 KiB
 libcurl                           x86_64 8.16.0~rc3-1.fc44          fedora     919.6 KiB
 libeconf                          x86_64 0.7.9-2.fc43               fedora      64.9 KiB
 libevent                          x86_64 2.1.12-16.fc43             fedora     883.1 KiB
 libfdisk                          x86_64 2.41.1-16.fc44             fedora     380.4 KiB
 libffi                            x86_64 3.5.2-1.fc44               fedora      83.8 KiB
 libfsverity                       x86_64 1.6-3.fc43                 fedora      28.5 KiB
 libgcc                            x86_64 15.2.1-1.fc44.1            fedora     266.6 KiB
 libgcrypt                         x86_64 1.11.1-2.fc43              fedora       1.6 MiB
 libgomp                           x86_64 15.2.1-1.fc44.1            fedora     541.1 KiB
 libgpg-error                      x86_64 1.55-2.fc43                fedora     915.3 KiB
 libidn2                           x86_64 2.3.8-2.fc43               fedora     552.5 KiB
 libksba                           x86_64 1.6.7-4.fc43               fedora     398.5 KiB
 liblastlog2                       x86_64 2.41.1-16.fc44             fedora      33.9 KiB
 libmount                          x86_64 2.41.1-16.fc44             fedora     372.7 KiB
 libnghttp2                        x86_64 1.67.0-1.fc44              fedora     162.3 KiB
 libpkgconf                        x86_64 2.3.0-3.fc43               fedora      78.1 KiB
 libpsl                            x86_64 0.21.5-6.fc43              fedora      76.4 KiB
 libselinux                        x86_64 3.9-4.fc44                 fedora     193.1 KiB
 libsemanage                       x86_64 3.9-3.fc44                 fedora     308.5 KiB
 libsepol                          x86_64 3.9-2.fc43                 fedora     822.0 KiB
 libsmartcols                      x86_64 2.41.1-16.fc44             fedora     180.5 KiB
 libssh                            x86_64 0.11.2-2.fc43              fedora     566.7 KiB
 libssh-config                     noarch 0.11.2-2.fc43              fedora     277.0   B
 libstdc++                         x86_64 15.2.1-1.fc44.1            fedora       2.8 MiB
 libtasn1                          x86_64 4.20.0-2.fc43              fedora     176.3 KiB
 libtool-ltdl                      x86_64 2.5.4-7.fc43               fedora      70.1 KiB
 libunistring                      x86_64 1.1-10.fc43                fedora       1.7 MiB
 libusb1                           x86_64 1.0.29-4.fc44              fedora     171.3 KiB
 libuuid                           x86_64 2.41.1-16.fc44             fedora      37.4 KiB
 libverto                          x86_64 0.3.2-11.fc43              fedora      25.4 KiB
 libxcrypt                         x86_64 4.4.38-8.fc43              fedora     284.5 KiB
 libxml2                           x86_64 2.12.10-4.fc44             fedora       1.7 MiB
 libzstd                           x86_64 1.5.7-2.fc43               fedora     799.9 KiB
 lua-libs                          x86_64 5.4.8-2.fc43               fedora     280.8 KiB
 lua-srpm-macros                   noarch 1-16.fc43                  fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-3.fc43              fedora     161.4 KiB
 mpfr                              x86_64 4.2.2-2.fc43               fedora     832.8 KiB
 ncurses-base                      noarch 6.5-7.20250614.fc43        fedora     328.1 KiB
 ncurses-libs                      x86_64 6.5-7.20250614.fc43        fedora     946.3 KiB
 nettle                            x86_64 3.10.1-2.fc43              fedora     790.6 KiB
 npth                              x86_64 1.8-3.fc43                 fedora      49.6 KiB
 ocaml-srpm-macros                 noarch 11-2.fc43                  fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-20.fc43                  fedora     112.0   B
 openldap                          x86_64 2.6.10-4.fc44              fedora     659.8 KiB
 openssl-libs                      x86_64 1:3.5.1-3.fc44             fedora       9.2 MiB
 p11-kit                           x86_64 0.25.5-10.fc44             fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-10.fc44             fedora     395.5 KiB
 package-notes-srpm-macros         noarch 0.5-14.fc43                fedora       1.6 KiB
 pam-libs                          x86_64 1.7.1-3.fc43               fedora     126.8 KiB
 pcre2                             x86_64 10.46-1.fc44               fedora     697.7 KiB
 pcre2-syntax                      noarch 10.46-1.fc44               fedora     275.3 KiB
 perl-srpm-macros                  noarch 1-60.fc43                  fedora     861.0   B
 pkgconf                           x86_64 2.3.0-3.fc43               fedora      88.5 KiB
 pkgconf-m4                        noarch 2.3.0-3.fc43               fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-3.fc43               fedora     989.0   B
 popt                              x86_64 1.19-9.fc43                fedora     132.8 KiB
 publicsuffix-list-dafsa           noarch 20250616-2.fc43            fedora      69.1 KiB
 pyproject-srpm-macros             noarch 1.18.4-1.fc44              fedora       1.9 KiB
 python-srpm-macros                noarch 3.14-7.fc44                fedora      51.5 KiB
 qt5-srpm-macros                   noarch 5.15.17-2.fc43             fedora     500.0   B
 qt6-srpm-macros                   noarch 6.9.2-1.fc44               fedora     464.0   B
 readline                          x86_64 8.3-2.fc43                 fedora     511.7 KiB
 rpm                               x86_64 5.99.92-1.fc44             fedora       3.0 MiB
 rpm-build-libs                    x86_64 5.99.92-1.fc44             fedora     272.4 KiB
 rpm-libs                          x86_64 5.99.92-1.fc44             fedora     933.7 KiB
 rpm-sequoia                       x86_64 1.9.0-2.fc43               fedora       2.5 MiB
 rpm-sign-libs                     x86_64 5.99.92-1.fc44             fedora      39.7 KiB
 rust-srpm-macros                  noarch 26.4-1.fc44                fedora       4.8 KiB
 setup                             noarch 2.15.0-26.fc43             fedora     725.0 KiB
 sqlite-libs                       x86_64 3.50.2-2.fc43              fedora       1.5 MiB
 systemd-libs                      x86_64 258~rc4-1.fc44             fedora       2.3 MiB
 systemd-standalone-sysusers       x86_64 258~rc4-1.fc44             fedora     293.5 KiB
 tpm2-tss                          x86_64 4.1.3-8.fc43               fedora       1.6 MiB
 tree-sitter-srpm-macros           noarch 0.4.2-1.fc43               fedora       8.3 KiB
 util-linux-core                   x86_64 2.41.1-16.fc44             fedora       1.5 MiB
 xxhash-libs                       x86_64 0.8.3-3.fc43               fedora      90.2 KiB
 xz-libs                           x86_64 1:5.8.1-2.fc43             fedora     217.8 KiB
 zig-srpm-macros                   noarch 1-5.fc43                   fedora       1.1 KiB
 zip                               x86_64 3.0-44.fc43                fedora     694.5 KiB
 zlib-ng-compat                    x86_64 2.2.5-1.fc43               fedora     137.6 KiB
 zstd                              x86_64 1.5.7-2.fc43               fedora       1.7 MiB
Installing groups:
 Buildsystem building group                                                              

Transaction Summary:
 Installing:       170 packages

Total size of inbound packages is 59 MiB. Need to download 59 MiB.
After this operation, 198 MiB extra will be used (install 198 MiB, remove 0 B).
[  1/170] bzip2-0:1.0.8-21.fc43.x86_64  100% | 138.4 KiB/s |  51.6 KiB |  00m00s
[  2/170] bash-0:5.3.0-2.fc43.x86_64    100% |   3.3 MiB/s |   1.9 MiB |  00m01s
[  3/170] cpio-0:2.15-6.fc43.x86_64     100% |   1.3 MiB/s | 293.1 KiB |  00m00s
[  4/170] coreutils-0:9.7-5.fc43.x86_64 100% |   1.9 MiB/s |   1.1 MiB |  00m01s
[  5/170] diffutils-0:3.12-3.fc43.x86_6 100% |   5.1 MiB/s | 392.3 KiB |  00m00s
[  6/170] fedora-release-common-0:44-0. 100% | 357.6 KiB/s |  25.0 KiB |  00m00s
[  7/170] findutils-1:4.10.0-6.fc43.x86 100% |   3.8 MiB/s | 550.0 KiB |  00m00s
[  8/170] glibc-minimal-langpack-0:2.42 100% | 304.9 KiB/s |  45.1 KiB |  00m00s
[  9/170] grep-0:3.12-2.fc43.x86_64     100% |   1.2 MiB/s | 299.1 KiB |  00m00s
[ 10/170] gzip-0:1.14-1.fc44.x86_64     100% | 950.1 KiB/s | 177.7 KiB |  00m00s
[ 11/170] info-0:7.2-6.fc43.x86_64      100% |   1.0 MiB/s | 182.9 KiB |  00m00s
[ 12/170] patch-0:2.8-2.fc43.x86_64     100% |   1.5 MiB/s | 113.8 KiB |  00m00s
[ 13/170] redhat-rpm-config-0:343-13.fc 100% |   1.3 MiB/s |  79.4 KiB |  00m00s
[ 14/170] rpm-build-0:5.99.92-1.fc44.x8 100% |   2.6 MiB/s | 135.6 KiB |  00m00s
[ 15/170] sed-0:4.9-5.fc43.x86_64       100% |   3.6 MiB/s | 317.1 KiB |  00m00s
[ 16/170] shadow-utils-2:4.18.0-3.fc43. 100% |   3.1 MiB/s |   1.3 MiB |  00m00s
[ 17/170] tar-2:1.35-6.fc43.x86_64      100% |   2.3 MiB/s | 856.4 KiB |  00m00s
[ 18/170] unzip-0:6.0-68.fc44.x86_64    100% | 566.2 KiB/s | 184.6 KiB |  00m00s
[ 19/170] which-0:2.23-3.fc43.x86_64    100% | 652.1 KiB/s |  41.7 KiB |  00m00s
[ 20/170] xz-1:5.8.1-2.fc43.x86_64      100% |   4.9 MiB/s | 572.5 KiB |  00m00s
[ 21/170] gawk-0:5.3.2-2.fc43.x86_64    100% |   3.6 MiB/s |   1.1 MiB |  00m00s
[ 22/170] filesystem-0:3.18-50.fc43.x86 100% |   3.3 MiB/s |   1.3 MiB |  00m00s
[ 23/170] util-linux-0:2.41.1-16.fc44.x 100% |   2.4 MiB/s |   1.2 MiB |  00m01s
[ 24/170] ncurses-libs-0:6.5-7.20250614 100% |   2.5 MiB/s | 332.7 KiB |  00m00s
[ 25/170] bzip2-libs-0:1.0.8-21.fc43.x8 100% | 234.0 KiB/s |  43.1 KiB |  00m00s
[ 26/170] coreutils-common-0:9.7-5.fc43 100% |   9.7 MiB/s |   2.1 MiB |  00m00s
[ 27/170] glibc-0:2.42.9000-4.fc44.x86_ 100% |   4.0 MiB/s |   2.2 MiB |  00m01s
[ 28/170] gmp-1:6.3.0-4.fc44.x86_64     100% |   2.0 MiB/s | 319.3 KiB |  00m00s
[ 29/170] libacl-0:2.3.2-4.fc43.x86_64  100% | 311.3 KiB/s |  24.3 KiB |  00m00s
[ 30/170] libattr-0:2.5.2-6.fc43.x86_64 100% | 234.9 KiB/s |  17.9 KiB |  00m00s
[ 31/170] libcap-0:2.76-3.fc44.x86_64   100% |   2.2 MiB/s |  86.9 KiB |  00m00s
[ 32/170] libselinux-0:3.9-4.fc44.x86_6 100% |   3.4 MiB/s |  97.6 KiB |  00m00s
[ 33/170] systemd-libs-0:258~rc4-1.fc44 100% |  22.9 MiB/s | 821.8 KiB |  00m00s
[ 34/170] fedora-repos-0:44-0.1.noarch  100% | 211.0 KiB/s |   9.1 KiB |  00m00s
[ 35/170] glibc-common-0:2.42.9000-4.fc 100% |   9.5 MiB/s | 331.9 KiB |  00m00s
[ 36/170] pcre2-0:10.46-1.fc44.x86_64   100% |   8.5 MiB/s | 262.2 KiB |  00m00s
[ 37/170] ed-0:1.22.2-1.fc44.x86_64     100% |   3.1 MiB/s |  83.7 KiB |  00m00s
[ 38/170] ansible-srpm-macros-0:1-18.1. 100% | 765.7 KiB/s |  19.9 KiB |  00m00s
[ 39/170] build-reproducibility-srpm-ma 100% | 472.9 KiB/s |  11.8 KiB |  00m00s
[ 40/170] dwz-0:0.16-2.fc43.x86_64      100% |   5.1 MiB/s | 135.5 KiB |  00m00s
[ 41/170] efi-srpm-macros-0:6-4.fc43.no 100% | 799.7 KiB/s |  22.4 KiB |  00m00s
[ 42/170] openssl-libs-1:3.5.1-3.fc44.x 100% |  16.4 MiB/s |   2.5 MiB |  00m00s
[ 43/170] file-0:5.46-7.fc44.x86_64     100% |   1.9 MiB/s |  48.7 KiB |  00m00s
[ 44/170] filesystem-srpm-macros-0:3.18 100% |   1.0 MiB/s |  26.4 KiB |  00m00s
[ 45/170] fonts-srpm-macros-1:2.0.5-23. 100% |   1.1 MiB/s |  27.2 KiB |  00m00s
[ 46/170] forge-srpm-macros-0:0.4.0-3.f 100% | 803.6 KiB/s |  20.1 KiB |  00m00s
[ 47/170] fpc-srpm-macros-0:1.3-15.fc43 100% | 315.7 KiB/s |   7.9 KiB |  00m00s
[ 48/170] gap-srpm-macros-0:1-1.fc44.no 100% | 344.3 KiB/s |   8.6 KiB |  00m00s
[ 49/170] ghc-srpm-macros-0:1.9.2-3.fc4 100% | 349.8 KiB/s |   8.7 KiB |  00m00s
[ 50/170] gnat-srpm-macros-0:6-8.fc43.n 100% | 339.5 KiB/s |   8.5 KiB |  00m00s
[ 51/170] go-srpm-macros-0:3.8.0-1.fc44 100% |   1.1 MiB/s |  28.3 KiB |  00m00s
[ 52/170] java-srpm-macros-0:1-7.fc43.n 100% | 317.7 KiB/s |   7.9 KiB |  00m00s
[ 53/170] kernel-srpm-macros-0:1.0-27.f 100% | 343.1 KiB/s |   8.9 KiB |  00m00s
[ 54/170] lua-srpm-macros-0:1-16.fc43.n 100% | 350.3 KiB/s |   8.8 KiB |  00m00s
[ 55/170] ocaml-srpm-macros-0:11-2.fc43 100% | 370.4 KiB/s |   9.3 KiB |  00m00s
[ 56/170] package-notes-srpm-macros-0:0 100% | 359.4 KiB/s |   9.0 KiB |  00m00s
[ 57/170] openblas-srpm-macros-0:2-20.f 100% | 292.1 KiB/s |   7.6 KiB |  00m00s
[ 58/170] perl-srpm-macros-0:1-60.fc43. 100% | 331.6 KiB/s |   8.3 KiB |  00m00s
[ 59/170] pyproject-srpm-macros-0:1.18. 100% | 549.3 KiB/s |  13.7 KiB |  00m00s
[ 60/170] python-srpm-macros-0:3.14-7.f 100% | 906.8 KiB/s |  23.6 KiB |  00m00s
[ 61/170] qt5-srpm-macros-0:5.15.17-2.f 100% | 346.4 KiB/s |   8.7 KiB |  00m00s
[ 62/170] qt6-srpm-macros-0:6.9.2-1.fc4 100% | 375.4 KiB/s |   9.4 KiB |  00m00s
[ 63/170] rpm-0:5.99.92-1.fc44.x86_64   100% |  16.2 MiB/s | 564.5 KiB |  00m00s
[ 64/170] rust-srpm-macros-0:26.4-1.fc4 100% | 446.4 KiB/s |  11.2 KiB |  00m00s
[ 65/170] tree-sitter-srpm-macros-0:0.4 100% | 534.0 KiB/s |  13.4 KiB |  00m00s
[ 66/170] zig-srpm-macros-0:1-5.fc43.no 100% | 337.4 KiB/s |   8.4 KiB |  00m00s
[ 67/170] zip-0:3.0-44.fc43.x86_64      100% |   9.1 MiB/s | 261.6 KiB |  00m00s
[ 68/170] debugedit-0:5.2-3.fc44.x86_64 100% |   3.0 MiB/s |  85.6 KiB |  00m00s
[ 69/170] elfutils-0:0.193-3.fc43.x86_6 100% |  10.0 MiB/s | 571.3 KiB |  00m00s
[ 70/170] elfutils-libelf-0:0.193-3.fc4 100% |   3.6 MiB/s | 207.8 KiB |  00m00s
[ 71/170] libarchive-0:3.8.1-3.fc43.x86 100% |   4.2 MiB/s | 421.1 KiB |  00m00s
[ 72/170] libgcc-0:15.2.1-1.fc44.1.x86_ 100% |   2.0 MiB/s | 131.8 KiB |  00m00s
[ 73/170] libstdc++-0:15.2.1-1.fc44.1.x 100% |  15.5 MiB/s | 918.9 KiB |  00m00s
[ 74/170] popt-0:1.19-9.fc43.x86_64     100% |   1.4 MiB/s |  65.7 KiB |  00m00s
[ 75/170] rpm-build-libs-0:5.99.92-1.fc 100% |   2.3 MiB/s | 127.8 KiB |  00m00s
[ 76/170] readline-0:8.3-2.fc43.x86_64  100% |   3.4 MiB/s | 224.6 KiB |  00m00s
[ 77/170] rpm-libs-0:5.99.92-1.fc44.x86 100% |   9.8 MiB/s | 399.9 KiB |  00m00s
[ 78/170] zstd-0:1.5.7-2.fc43.x86_64    100% |   9.5 MiB/s | 485.9 KiB |  00m00s
[ 79/170] audit-libs-0:4.1.1-2.fc44.x86 100% |   1.5 MiB/s | 138.5 KiB |  00m00s
[ 80/170] libeconf-0:0.7.9-2.fc43.x86_6 100% | 363.0 KiB/s |  35.2 KiB |  00m00s
[ 81/170] libsemanage-0:3.9-3.fc44.x86_ 100% |   1.2 MiB/s | 123.4 KiB |  00m00s
[ 82/170] libxcrypt-0:4.4.38-8.fc43.x86 100% |   1.9 MiB/s | 127.0 KiB |  00m00s
[ 83/170] pam-libs-0:1.7.1-3.fc43.x86_6 100% | 737.5 KiB/s |  57.5 KiB |  00m00s
[ 84/170] setup-0:2.15.0-26.fc43.noarch 100% |   1.6 MiB/s | 157.3 KiB |  00m00s
[ 85/170] xz-libs-1:5.8.1-2.fc43.x86_64 100% |   1.3 MiB/s | 112.9 KiB |  00m00s
[ 86/170] mpfr-0:4.2.2-2.fc43.x86_64    100% |   3.4 MiB/s | 347.0 KiB |  00m00s
[ 87/170] libblkid-0:2.41.1-16.fc44.x86 100% |   1.8 MiB/s | 123.1 KiB |  00m00s
[ 88/170] libcap-ng-0:0.8.5-7.fc44.x86_ 100% | 374.0 KiB/s |  32.2 KiB |  00m00s
[ 89/170] liblastlog2-0:2.41.1-16.fc44. 100% | 927.2 KiB/s |  23.2 KiB |  00m00s
[ 90/170] libfdisk-0:2.41.1-16.fc44.x86 100% |   3.8 MiB/s | 161.3 KiB |  00m00s
[ 91/170] libmount-0:2.41.1-16.fc44.x86 100% |   3.3 MiB/s | 162.4 KiB |  00m00s
[ 92/170] libsmartcols-0:2.41.1-16.fc44 100% |   1.3 MiB/s |  84.0 KiB |  00m00s
[ 93/170] libuuid-0:2.41.1-16.fc44.x86_ 100% | 258.7 KiB/s |  26.1 KiB |  00m00s
[ 94/170] util-linux-core-0:2.41.1-16.f 100% |   3.8 MiB/s | 551.0 KiB |  00m00s
[ 95/170] zlib-ng-compat-0:2.2.5-1.fc43 100% | 514.3 KiB/s |  79.2 KiB |  00m00s
[ 96/170] ncurses-base-0:6.5-7.20250614 100% |   1.7 MiB/s |  88.2 KiB |  00m00s
[ 97/170] libsepol-0:3.9-2.fc43.x86_64  100% |   6.7 MiB/s | 345.4 KiB |  00m00s
[ 98/170] glibc-gconv-extra-0:2.42.9000 100% |   9.3 MiB/s |   1.6 MiB |  00m00s
[ 99/170] ca-certificates-0:2025.2.80_v 100% |  22.1 MiB/s | 973.8 KiB |  00m00s
[100/170] crypto-policies-0:20250714-4. 100% |   3.7 MiB/s |  98.4 KiB |  00m00s
[101/170] fedora-gpg-keys-0:44-0.1.noar 100% |   3.7 MiB/s | 138.8 KiB |  00m00s
[102/170] fedora-repos-rawhide-0:44-0.1 100% | 254.3 KiB/s |   8.6 KiB |  00m00s
[103/170] pcre2-syntax-0:10.46-1.fc44.n 100% |   5.9 MiB/s | 162.2 KiB |  00m00s
[104/170] add-determinism-0:0.6.0-2.fc4 100% |  16.9 MiB/s | 919.3 KiB |  00m00s
[105/170] curl-0:8.16.0~rc3-1.fc44.x86_ 100% |   3.7 MiB/s | 236.1 KiB |  00m00s
[106/170] file-libs-0:5.46-7.fc44.x86_6 100% |  11.5 MiB/s | 849.7 KiB |  00m00s
[107/170] elfutils-debuginfod-client-0: 100% |   1.6 MiB/s |  46.8 KiB |  00m00s
[108/170] elfutils-libs-0:0.193-3.fc43. 100% |   4.9 MiB/s | 269.7 KiB |  00m00s
[109/170] libzstd-0:1.5.7-2.fc43.x86_64 100% |   7.1 MiB/s | 314.6 KiB |  00m00s
[110/170] libxml2-0:2.12.10-4.fc44.x86_ 100% |  11.7 MiB/s | 692.5 KiB |  00m00s
[111/170] lz4-libs-0:1.10.0-3.fc43.x86_ 100% |   1.4 MiB/s |  78.0 KiB |  00m00s
[112/170] libgomp-0:15.2.1-1.fc44.1.x86 100% |   7.4 MiB/s | 371.7 KiB |  00m00s
[113/170] rpm-sign-libs-0:5.99.92-1.fc4 100% | 613.0 KiB/s |  28.2 KiB |  00m00s
[114/170] lua-libs-0:5.4.8-2.fc43.x86_6 100% |   2.7 MiB/s | 131.7 KiB |  00m00s
[115/170] rpm-sequoia-0:1.9.0-2.fc43.x8 100% |  11.8 MiB/s | 933.3 KiB |  00m00s
[116/170] elfutils-default-yama-scope-0 100% | 327.0 KiB/s |  12.4 KiB |  00m00s
[117/170] sqlite-libs-0:3.50.2-2.fc43.x 100% |   8.8 MiB/s | 760.5 KiB |  00m00s
[118/170] json-c-0:0.18-7.fc43.x86_64   100% | 848.6 KiB/s |  45.0 KiB |  00m00s
[119/170] ima-evm-utils-libs-0:1.6.2-6. 100% | 371.2 KiB/s |  29.3 KiB |  00m00s
[120/170] libfsverity-0:1.6-3.fc43.x86_ 100% | 214.1 KiB/s |  18.6 KiB |  00m00s
[121/170] gnupg2-0:2.4.8-4.fc43.x86_64  100% |  11.4 MiB/s |   1.6 MiB |  00m00s
[122/170] gpgverify-0:2.2-3.fc43.noarch 100% | 444.1 KiB/s |  11.1 KiB |  00m00s
[123/170] gnupg2-dirmngr-0:2.4.8-4.fc43 100% |   5.5 MiB/s | 274.6 KiB |  00m00s
[124/170] gnupg2-gpg-agent-0:2.4.8-4.fc 100% |   5.3 MiB/s | 272.9 KiB |  00m00s
[125/170] gnupg2-gpgconf-0:2.4.8-4.fc43 100% |   1.8 MiB/s | 115.0 KiB |  00m00s
[126/170] gnupg2-keyboxd-0:2.4.8-4.fc43 100% |   1.6 MiB/s |  94.7 KiB |  00m00s
[127/170] gnupg2-verify-0:2.4.8-4.fc43. 100% |   2.7 MiB/s | 171.2 KiB |  00m00s
[128/170] libassuan-0:2.5.7-4.fc43.x86_ 100% |   1.0 MiB/s |  67.4 KiB |  00m00s
[129/170] libgcrypt-0:1.11.1-2.fc43.x86 100% |  11.4 MiB/s | 595.8 KiB |  00m00s
[130/170] libgpg-error-0:1.55-2.fc43.x8 100% |   5.7 MiB/s | 244.3 KiB |  00m00s
[131/170] npth-0:1.8-3.fc43.x86_64      100% | 641.4 KiB/s |  25.7 KiB |  00m00s
[132/170] tpm2-tss-0:4.1.3-8.fc43.x86_6 100% |   4.2 MiB/s | 425.9 KiB |  00m00s
[133/170] gnutls-0:3.8.10-3.fc43.x86_64 100% |   7.7 MiB/s |   1.4 MiB |  00m00s
[134/170] libksba-0:1.6.7-4.fc43.x86_64 100% | 922.1 KiB/s | 160.4 KiB |  00m00s
[135/170] openldap-0:2.6.10-4.fc44.x86_ 100% |   2.5 MiB/s | 259.5 KiB |  00m00s
[136/170] libusb1-0:1.0.29-4.fc44.x86_6 100% |   2.9 MiB/s |  79.9 KiB |  00m00s
[137/170] libidn2-0:2.3.8-2.fc43.x86_64 100% |   3.8 MiB/s | 174.9 KiB |  00m00s
[138/170] libtasn1-0:4.20.0-2.fc43.x86_ 100% |   1.6 MiB/s |  74.5 KiB |  00m00s
[139/170] libunistring-0:1.1-10.fc43.x8 100% |   6.0 MiB/s | 542.9 KiB |  00m00s
[140/170] nettle-0:3.10.1-2.fc43.x86_64 100% |   4.8 MiB/s | 424.2 KiB |  00m00s
[141/170] p11-kit-0:0.25.5-10.fc44.x86_ 100% |   5.5 MiB/s | 488.4 KiB |  00m00s
[142/170] cyrus-sasl-lib-0:2.1.28-33.fc 100% |  12.2 MiB/s | 796.5 KiB |  00m00s
[143/170] libevent-0:2.1.12-16.fc43.x86 100% |   7.4 MiB/s | 257.8 KiB |  00m00s
[144/170] libtool-ltdl-0:2.5.4-7.fc43.x 100% |   1.0 MiB/s |  36.2 KiB |  00m00s
[145/170] libffi-0:3.5.2-1.fc44.x86_64  100% |   1.6 MiB/s |  41.1 KiB |  00m00s
[146/170] gdbm-libs-1:1.23-10.fc43.x86_ 100% |   1.1 MiB/s |  56.8 KiB |  00m00s
[147/170] alternatives-0:1.33-2.fc43.x8 100% | 830.2 KiB/s |  40.7 KiB |  00m00s
[148/170] jansson-0:2.14-3.fc43.x86_64  100% |   1.6 MiB/s |  45.3 KiB |  00m00s
[149/170] pkgconf-pkg-config-0:2.3.0-3. 100% | 320.3 KiB/s |   9.6 KiB |  00m00s
[150/170] pkgconf-0:2.3.0-3.fc43.x86_64 100% |   1.7 MiB/s |  44.6 KiB |  00m00s
[151/170] binutils-0:2.45-3.fc44.x86_64 100% |  50.6 MiB/s |   5.9 MiB |  00m00s
[152/170] pkgconf-m4-0:2.3.0-3.fc43.noa 100% | 556.4 KiB/s |  13.9 KiB |  00m00s
[153/170] libpkgconf-0:2.3.0-3.fc43.x86 100% |   1.5 MiB/s |  37.9 KiB |  00m00s
[154/170] p11-kit-trust-0:0.25.5-10.fc4 100% |   4.6 MiB/s | 132.4 KiB |  00m00s
[155/170] fedora-release-0:44-0.2.noarc 100% | 422.9 KiB/s |  14.0 KiB |  00m00s
[156/170] systemd-standalone-sysusers-0 100% |   3.0 MiB/s | 143.7 KiB |  00m00s
[157/170] xxhash-libs-0:0.8.3-3.fc43.x8 100% |   1.1 MiB/s |  38.5 KiB |  00m00s
[158/170] fedora-release-identity-basic 100% | 368.0 KiB/s |  14.7 KiB |  00m00s
[159/170] libcurl-0:8.16.0~rc3-1.fc44.x 100% |  10.3 MiB/s | 409.8 KiB |  00m00s
[160/170] gdb-minimal-0:16.3-5.fc44.x86 100% |  42.0 MiB/s |   4.4 MiB |  00m00s
[161/170] libbrotli-0:1.1.0-9.fc44.x86_ 100% |  10.0 MiB/s | 339.1 KiB |  00m00s
[162/170] libnghttp2-0:1.67.0-1.fc44.x8 100% |   2.7 MiB/s |  73.2 KiB |  00m00s
[163/170] krb5-libs-0:1.21.3-7.fc43.x86 100% |  12.1 MiB/s | 758.9 KiB |  00m00s
[164/170] libpsl-0:0.21.5-6.fc43.x86_64 100% |   1.3 MiB/s |  65.0 KiB |  00m00s
[165/170] libssh-0:0.11.2-2.fc43.x86_64 100% |   4.9 MiB/s | 232.7 KiB |  00m00s
[166/170] keyutils-libs-0:1.6.3-6.fc43. 100% | 382.3 KiB/s |  31.4 KiB |  00m00s
[167/170] libcom_err-0:1.47.3-2.fc43.x8 100% | 304.5 KiB/s |  26.8 KiB |  00m00s
[168/170] libverto-0:0.3.2-11.fc43.x86_ 100% | 237.6 KiB/s |  20.7 KiB |  00m00s
[169/170] libssh-config-0:0.11.2-2.fc43 100% | 192.4 KiB/s |   8.9 KiB |  00m00s
[170/170] publicsuffix-list-dafsa-0:202 100% | 664.6 KiB/s |  59.2 KiB |  00m00s
--------------------------------------------------------------------------------
[170/170] Total                         100% |  11.9 MiB/s |  58.9 MiB |  00m05s
Running transaction
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.
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.
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 0xF577861E:
 UserID     : "Fedora (45) <fedora-45-primary@fedoraproject.org>"
 Fingerprint: 4F50A6114CD5C6976A7F1179655A4B02F577861E
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-45-primary
The key was successfully imported.
[  1/172] Verify package files          100% | 682.0   B/s | 170.0   B |  00m00s
[  2/172] Prepare transaction           100% |   1.8 KiB/s | 170.0   B |  00m00s
[  3/172] Installing libgcc-0:15.2.1-1. 100% | 131.0 MiB/s | 268.3 KiB |  00m00s
[  4/172] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  5/172] Installing publicsuffix-list- 100% |  68.2 MiB/s |  69.8 KiB |  00m00s
[  6/172] Installing fedora-release-ide 100% | 898.4 KiB/s | 920.0   B |  00m00s
[  7/172] Installing fedora-gpg-keys-0: 100% |  19.4 MiB/s | 179.0 KiB |  00m00s
[  8/172] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  9/172] Installing fedora-repos-0:44- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/172] Installing fedora-release-com 100% |   6.0 MiB/s |  24.8 KiB |  00m00s
[ 11/172] Installing fedora-release-0:4 100% |   7.1 KiB/s | 124.0   B |  00m00s
>>> Running sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch                   
>>> Finished sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch                  
>>> Scriptlet output:                                                           
>>> Creating group 'adm' with GID 4.                                            
>>> Creating group 'audio' with GID 63.                                         
>>> Creating group 'cdrom' with GID 11.                                         
>>> Creating group 'clock' with GID 103.                                        
>>> Creating group 'dialout' with GID 18.                                       
>>> Creating group 'disk' with GID 6.                                           
>>> Creating group 'floppy' with GID 19.                                        
>>> Creating group 'ftp' with GID 50.                                           
>>> Creating group 'games' with GID 20.                                         
>>> Creating group 'input' with GID 104.                                        
>>> Creating group 'kmem' with GID 9.                                           
>>> Creating group 'kvm' with GID 36.                                           
>>> Creating group 'lock' with GID 54.                                          
>>> Creating group 'lp' with GID 7.                                             
>>> Creating group 'mail' with GID 12.                                          
>>> Creating group 'man' with GID 15.                                           
>>> Creating group 'mem' with GID 8.                                            
>>> Creating group 'nobody' with GID 65534.                                     
>>> Creating group 'render' with GID 105.                                       
>>> Creating group 'root' with GID 0.                                           
>>> Creating group 'sgx' with GID 106.                                          
>>> Creating group 'sys' with GID 3.                                            
>>> Creating group 'tape' with GID 33.                                          
>>> Creating group 'tty' with GID 5.                                            
>>> Creating group 'users' with GID 100.                                        
>>> Creating group 'utmp' with GID 22.                                          
>>> Creating group 'video' with GID 39.                                         
>>> Creating group 'wheel' with GID 10.                                         
>>> Creating user 'adm' (adm) with UID 3 and GID 4.                             
>>> Creating group 'bin' with GID 1.                                            
>>> Creating user 'bin' (bin) with UID 1 and GID 1.                             
>>> Creating group 'daemon' with GID 2.                                         
>>> Creating user 'daemon' (daemon) with UID 2 and GID 2.                       
>>> Creating user 'ftp' (FTP User) with UID 14 and GID 50.                      
>>> Creating user 'games' (games) with UID 12 and GID 100.                      
>>> Creating user 'halt' (halt) with UID 7 and GID 0.                           
>>> Creating user 'lp' (lp) with UID 4 and GID 7.                               
>>> Creating user 'mail' (mail) with UID 8 and GID 12.                          
>>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. 
>>> Creating user 'operator' (operator) with UID 11 and GID 0.                  
>>> Creating user 'root' (Super User) with UID 0 and GID 0.                     
>>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0.                   
>>> Creating user 'sync' (sync) with UID 5 and GID 0.                           
>>>                                                                             
[ 12/172] Installing setup-0:2.15.0-26. 100% |  39.6 MiB/s | 730.6 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 13/172] Installing filesystem-0:3.18- 100% |   1.4 MiB/s | 212.8 KiB |  00m00s
[ 14/172] Installing pkgconf-m4-0:2.3.0 100% |  14.5 MiB/s |  14.8 KiB |  00m00s
[ 15/172] Installing pcre2-syntax-0:10. 100% | 135.6 MiB/s | 277.8 KiB |  00m00s
[ 16/172] Installing ncurses-base-0:6.5 100% |  26.6 MiB/s | 353.5 KiB |  00m00s
[ 17/172] Installing bash-0:5.3.0-2.fc4 100% | 165.3 MiB/s |   8.4 MiB |  00m00s
[ 18/172] Installing glibc-common-0:2.4 100% |  40.8 MiB/s |   1.0 MiB |  00m00s
[ 19/172] Installing glibc-gconv-extra- 100% | 121.8 MiB/s |   7.3 MiB |  00m00s
[ 20/172] Installing glibc-0:2.42.9000- 100% | 111.6 MiB/s |   6.7 MiB |  00m00s
[ 21/172] Installing ncurses-libs-0:6.5 100% | 186.1 MiB/s | 952.8 KiB |  00m00s
[ 22/172] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 23/172] Installing zlib-ng-compat-0:2 100% |  33.8 MiB/s | 138.4 KiB |  00m00s
[ 24/172] Installing bzip2-libs-0:1.0.8 100% |  79.8 MiB/s |  81.7 KiB |  00m00s
[ 25/172] Installing libgpg-error-0:1.5 100% |  52.9 MiB/s | 921.1 KiB |  00m00s
[ 26/172] Installing libstdc++-0:15.2.1 100% | 167.3 MiB/s |   2.8 MiB |  00m00s
[ 27/172] Installing xz-libs-1:5.8.1-2. 100% | 106.9 MiB/s | 218.9 KiB |  00m00s
[ 28/172] Installing libassuan-0:2.5.7- 100% | 161.7 MiB/s | 165.6 KiB |  00m00s
[ 29/172] Installing libgcrypt-0:1.11.1 100% | 175.0 MiB/s |   1.6 MiB |  00m00s
[ 30/172] Installing readline-0:8.3-2.f 100% | 250.9 MiB/s | 513.9 KiB |  00m00s
[ 31/172] Installing gmp-1:6.3.0-4.fc44 100% | 133.1 MiB/s | 817.5 KiB |  00m00s
[ 32/172] Installing libuuid-0:2.41.1-1 100% |  37.6 MiB/s |  38.5 KiB |  00m00s
[ 33/172] Installing popt-0:1.19-9.fc43 100% |  34.0 MiB/s | 139.4 KiB |  00m00s
[ 34/172] Installing npth-0:1.8-3.fc43. 100% |  49.5 MiB/s |  50.7 KiB |  00m00s
[ 35/172] Installing libblkid-0:2.41.1- 100% | 128.7 MiB/s | 263.5 KiB |  00m00s
[ 36/172] Installing libxcrypt-0:4.4.38 100% |  56.1 MiB/s | 287.2 KiB |  00m00s
[ 37/172] Installing libzstd-0:1.5.7-2. 100% | 260.8 MiB/s | 801.1 KiB |  00m00s
[ 38/172] Installing elfutils-libelf-0: 100% | 145.8 MiB/s |   1.2 MiB |  00m00s
[ 39/172] Installing sqlite-libs-0:3.50 100% | 168.5 MiB/s |   1.5 MiB |  00m00s
[ 40/172] Installing gnupg2-gpgconf-0:2 100% |  18.9 MiB/s | 252.0 KiB |  00m00s
[ 41/172] Installing libattr-0:2.5.2-6. 100% |  24.8 MiB/s |  25.4 KiB |  00m00s
[ 42/172] Installing libacl-0:2.3.2-4.f 100% |  35.9 MiB/s |  36.8 KiB |  00m00s
[ 43/172] Installing libtasn1-0:4.20.0- 100% | 173.9 MiB/s | 178.1 KiB |  00m00s
[ 44/172] Installing libunistring-0:1.1 100% | 172.7 MiB/s |   1.7 MiB |  00m00s
[ 45/172] Installing libidn2-0:2.3.8-2. 100% |  22.7 MiB/s | 558.7 KiB |  00m00s
[ 46/172] Installing crypto-policies-0: 100% |  15.3 MiB/s | 172.0 KiB |  00m00s
[ 47/172] Installing dwz-0:0.16-2.fc43. 100% |  16.6 MiB/s | 288.5 KiB |  00m00s
[ 48/172] Installing gnupg2-verify-0:2. 100% |  24.4 MiB/s | 349.9 KiB |  00m00s
[ 49/172] Installing mpfr-0:4.2.2-2.fc4 100% | 135.8 MiB/s | 834.4 KiB |  00m00s
[ 50/172] Installing gawk-0:5.3.2-2.fc4 100% |  67.3 MiB/s |   1.8 MiB |  00m00s
[ 51/172] Installing libksba-0:1.6.7-4. 100% | 195.8 MiB/s | 401.1 KiB |  00m00s
[ 52/172] Installing unzip-0:6.0-68.fc4 100% |  16.0 MiB/s | 393.8 KiB |  00m00s
[ 53/172] Installing file-libs-0:5.46-7 100% | 282.3 MiB/s |  11.9 MiB |  00m00s
[ 54/172] Installing file-0:5.46-7.fc44 100% |   7.6 MiB/s | 101.7 KiB |  00m00s
[ 55/172] Installing pcre2-0:10.46-1.fc 100% | 227.6 MiB/s | 699.1 KiB |  00m00s
[ 56/172] Installing grep-0:3.12-2.fc43 100% |  45.6 MiB/s |   1.0 MiB |  00m00s
[ 57/172] Installing xz-1:5.8.1-2.fc43. 100% |  47.6 MiB/s |   1.3 MiB |  00m00s
[ 58/172] Installing libeconf-0:0.7.9-2 100% |  65.0 MiB/s |  66.5 KiB |  00m00s
[ 59/172] Installing libcap-ng-0:0.8.5- 100% |  69.2 MiB/s |  70.8 KiB |  00m00s
[ 60/172] Installing audit-libs-0:4.1.1 100% | 124.2 MiB/s | 381.5 KiB |  00m00s
[ 61/172] Installing pam-libs-0:1.7.1-3 100% |  63.0 MiB/s | 129.0 KiB |  00m00s
[ 62/172] Installing libcap-0:2.76-3.fc 100% |  12.3 MiB/s | 214.3 KiB |  00m00s
[ 63/172] Installing systemd-libs-0:258 100% | 194.7 MiB/s |   2.3 MiB |  00m00s
[ 64/172] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.6 KiB |  00m00s
[ 65/172] Installing libsepol-0:3.9-2.f 100% | 114.8 MiB/s | 822.9 KiB |  00m00s
[ 66/172] Installing libselinux-0:3.9-4 100% |  94.9 MiB/s | 194.4 KiB |  00m00s
[ 67/172] Installing findutils-1:4.10.0 100% |  77.4 MiB/s |   1.9 MiB |  00m00s
[ 68/172] Installing sed-0:4.9-5.fc43.x 100% |  33.8 MiB/s | 865.5 KiB |  00m00s
[ 69/172] Installing libmount-0:2.41.1- 100% | 182.5 MiB/s | 373.7 KiB |  00m00s
[ 70/172] Installing lz4-libs-0:1.10.0- 100% | 158.6 MiB/s | 162.5 KiB |  00m00s
[ 71/172] Installing lua-libs-0:5.4.8-2 100% | 137.6 MiB/s | 281.9 KiB |  00m00s
[ 72/172] Installing json-c-0:0.18-7.fc 100% |  82.0 MiB/s |  84.0 KiB |  00m00s
[ 73/172] Installing libffi-0:3.5.2-1.f 100% |  83.2 MiB/s |  85.2 KiB |  00m00s
[ 74/172] Installing p11-kit-0:0.25.5-1 100% |  68.3 MiB/s |   2.2 MiB |  00m00s
[ 75/172] Installing alternatives-0:1.3 100% |   5.2 MiB/s |  63.8 KiB |  00m00s
[ 76/172] Installing p11-kit-trust-0:0. 100% |  12.9 MiB/s | 397.1 KiB |  00m00s
[ 77/172] Installing zstd-0:1.5.7-2.fc4 100% |  74.3 MiB/s |   1.7 MiB |  00m00s
[ 78/172] Installing util-linux-core-0: 100% |  54.8 MiB/s |   1.5 MiB |  00m00s
[ 79/172] Installing tar-2:1.35-6.fc43. 100% | 102.0 MiB/s |   3.0 MiB |  00m00s
[ 80/172] Installing libsemanage-0:3.9- 100% | 151.5 MiB/s | 310.2 KiB |  00m00s
[ 81/172] Installing systemd-standalone 100% |  22.1 MiB/s | 294.1 KiB |  00m00s
[ 82/172] Installing libusb1-0:1.0.29-4 100% |  42.2 MiB/s | 172.9 KiB |  00m00s
[ 83/172] Installing zip-0:3.0-44.fc43. 100% |  37.9 MiB/s | 698.4 KiB |  00m00s
[ 84/172] Installing gnupg2-keyboxd-0:2 100% |  12.4 MiB/s | 202.7 KiB |  00m00s
[ 85/172] Installing libpsl-0:0.21.5-6. 100% |  75.7 MiB/s |  77.5 KiB |  00m00s
[ 86/172] Installing liblastlog2-0:2.41 100% |   2.0 MiB/s |  36.0 KiB |  00m00s
[ 87/172] Installing libfdisk-0:2.41.1- 100% | 186.3 MiB/s | 381.5 KiB |  00m00s
[ 88/172] Installing nettle-0:3.10.1-2. 100% | 193.8 MiB/s | 793.7 KiB |  00m00s
[ 89/172] Installing gnutls-0:3.8.10-3. 100% | 174.5 MiB/s |   3.8 MiB |  00m00s
[ 90/172] Installing libxml2-0:2.12.10- 100% |  77.5 MiB/s |   1.7 MiB |  00m00s
[ 91/172] Installing bzip2-0:1.0.8-21.f 100% |   5.4 MiB/s |  99.8 KiB |  00m00s
[ 92/172] Installing add-determinism-0: 100% | 101.8 MiB/s |   2.4 MiB |  00m00s
[ 93/172] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 94/172] Installing cpio-0:2.15-6.fc43 100% |  52.4 MiB/s |   1.1 MiB |  00m00s
[ 95/172] Installing diffutils-0:3.12-3 100% |  67.9 MiB/s |   1.6 MiB |  00m00s
[ 96/172] Installing ed-0:1.22.2-1.fc44 100% |  11.3 MiB/s | 150.4 KiB |  00m00s
[ 97/172] Installing patch-0:2.8-2.fc43 100% |  13.7 MiB/s | 224.3 KiB |  00m00s
[ 98/172] Installing libgomp-0:15.2.1-1 100% | 176.6 MiB/s | 542.5 KiB |  00m00s
[ 99/172] Installing libtool-ltdl-0:2.5 100% |  13.9 MiB/s |  71.2 KiB |  00m00s
[100/172] Installing gdbm-libs-1:1.23-1 100% | 128.5 MiB/s | 131.6 KiB |  00m00s
[101/172] Installing cyrus-sasl-lib-0:2 100% |  95.8 MiB/s |   2.3 MiB |  00m00s
[102/172] Installing jansson-0:2.14-3.f 100% |  88.3 MiB/s |  90.5 KiB |  00m00s
[103/172] Installing libpkgconf-0:2.3.0 100% |  77.4 MiB/s |  79.2 KiB |  00m00s
[104/172] Installing pkgconf-0:2.3.0-3. 100% |   5.6 MiB/s |  91.0 KiB |  00m00s
[105/172] Installing pkgconf-pkg-config 100% | 161.2 KiB/s |   1.8 KiB |  00m00s
[106/172] Installing xxhash-libs-0:0.8. 100% |  89.4 MiB/s |  91.6 KiB |  00m00s
[107/172] Installing libbrotli-0:1.1.0- 100% | 204.0 MiB/s | 835.6 KiB |  00m00s
[108/172] Installing libnghttp2-0:1.67. 100% | 159.5 MiB/s | 163.4 KiB |  00m00s
[109/172] Installing keyutils-libs-0:1. 100% |  10.9 MiB/s |  55.7 KiB |  00m00s
[110/172] Installing libcom_err-0:1.47. 100% |  62.7 MiB/s |  64.2 KiB |  00m00s
[111/172] Installing libverto-0:0.3.2-1 100% |  26.6 MiB/s |  27.2 KiB |  00m00s
[112/172] Installing filesystem-srpm-ma 100% |  38.0 MiB/s |  38.9 KiB |  00m00s
[113/172] Installing elfutils-default-y 100% | 136.2 KiB/s |   2.0 KiB |  00m00s
[114/172] Installing elfutils-libs-0:0. 100% |  95.6 MiB/s | 685.2 KiB |  00m00s
[115/172] Installing rust-srpm-macros-0 100% |   5.4 MiB/s |   5.6 KiB |  00m00s
[116/172] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 740.0   B |  00m00s
[117/172] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[118/172] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[119/172] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[120/172] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[121/172] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.1 KiB |  00m00s
[122/172] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[123/172] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[124/172] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[125/172] Installing gap-srpm-macros-0: 100% |   2.5 MiB/s |   2.6 KiB |  00m00s
[126/172] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[127/172] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[128/172] Installing coreutils-common-0 100% | 173.7 MiB/s |  11.3 MiB |  00m00s
[129/172] Installing openssl-libs-1:3.5 100% | 204.9 MiB/s |   9.2 MiB |  00m00s
[130/172] Installing coreutils-0:9.7-5. 100% |  78.9 MiB/s |   5.4 MiB |  00m00s
[131/172] Installing ca-certificates-0: 100% |   1.2 MiB/s |   2.5 MiB |  00m02s
[132/172] Installing libarchive-0:3.8.1 100% | 155.1 MiB/s | 953.1 KiB |  00m00s
[133/172] Installing krb5-libs-0:1.21.3 100% |  69.4 MiB/s |   2.3 MiB |  00m00s
>>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64                  
>>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64                 
>>> Scriptlet output:                                                           
>>> Creating group 'tss' with GID 59.                                           
>>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59.   
>>>                                                                             
[134/172] Installing tpm2-tss-0:4.1.3-8 100% | 131.0 MiB/s |   1.6 MiB |  00m00s
[135/172] Installing ima-evm-utils-libs 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[136/172] Installing gnupg2-gpg-agent-0 100% |  20.0 MiB/s | 675.4 KiB |  00m00s
[137/172] Installing libssh-0:0.11.2-2. 100% |  92.6 MiB/s | 568.7 KiB |  00m00s
[138/172] Installing gzip-0:1.14-1.fc44 100% |  24.6 MiB/s | 403.3 KiB |  00m00s
[139/172] Installing rpm-sequoia-0:1.9. 100% | 206.5 MiB/s |   2.5 MiB |  00m00s
[140/172] Installing rpm-libs-0:5.99.92 100% | 130.5 MiB/s | 935.3 KiB |  00m00s
[141/172] Installing libfsverity-0:1.6- 100% |  28.8 MiB/s |  29.5 KiB |  00m00s
[142/172] Installing libevent-0:2.1.12- 100% |  96.2 MiB/s | 886.8 KiB |  00m00s
[143/172] Installing openldap-0:2.6.10- 100% | 162.0 MiB/s | 663.6 KiB |  00m00s
[144/172] Installing libcurl-0:8.16.0~r 100% | 149.8 MiB/s | 920.7 KiB |  00m00s
[145/172] Installing elfutils-debuginfo 100% |   5.6 MiB/s |  86.2 KiB |  00m00s
[146/172] Installing elfutils-0:0.193-3 100% | 108.1 MiB/s |   2.9 MiB |  00m00s
[147/172] Installing binutils-0:2.45-3. 100% | 176.9 MiB/s |  26.5 MiB |  00m00s
[148/172] Installing gdb-minimal-0:16.3 100% | 167.8 MiB/s |  13.3 MiB |  00m00s
[149/172] Installing debugedit-0:5.2-3. 100% |  15.2 MiB/s | 217.3 KiB |  00m00s
[150/172] Installing curl-0:8.16.0~rc3- 100% |  13.0 MiB/s | 478.1 KiB |  00m00s
[151/172] Installing rpm-0:5.99.92-1.fc 100% |  42.3 MiB/s |   2.5 MiB |  00m00s
[152/172] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.1 KiB |  00m00s
[153/172] Installing java-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[154/172] Installing lua-srpm-macros-0: 100% |   1.9 MiB/s |   1.9 KiB |  00m00s
[155/172] Installing tree-sitter-srpm-m 100% |   9.1 MiB/s |   9.3 KiB |  00m00s
[156/172] Installing zig-srpm-macros-0: 100% |   1.6 MiB/s |   1.7 KiB |  00m00s
[157/172] Installing gnupg2-dirmngr-0:2 100% |  16.0 MiB/s | 621.1 KiB |  00m00s
[158/172] Installing gnupg2-0:2.4.8-4.f 100% | 126.0 MiB/s |   6.6 MiB |  00m00s
[159/172] Installing rpm-sign-libs-0:5. 100% |  39.6 MiB/s |  40.6 KiB |  00m00s
[160/172] Installing rpm-build-libs-0:5 100% | 133.4 MiB/s | 273.2 KiB |  00m00s
[161/172] Installing gpgverify-0:2.2-3. 100% |   9.2 MiB/s |   9.4 KiB |  00m00s
[162/172] Installing rpm-build-0:5.99.9 100% |  18.0 MiB/s | 294.3 KiB |  00m00s
[163/172] Installing pyproject-srpm-mac 100% |   2.4 MiB/s |   2.5 KiB |  00m00s
[164/172] Installing redhat-rpm-config- 100% |  26.4 MiB/s | 189.4 KiB |  00m00s
[165/172] Installing forge-srpm-macros- 100% |  39.3 MiB/s |  40.3 KiB |  00m00s
[166/172] Installing fonts-srpm-macros- 100% |  55.7 MiB/s |  57.0 KiB |  00m00s
[167/172] Installing go-srpm-macros-0:3 100% |  61.6 MiB/s |  63.0 KiB |  00m00s
[168/172] Installing python-srpm-macros 100% |  51.6 MiB/s |  52.8 KiB |  00m00s
[169/172] Installing which-0:2.23-3.fc4 100% |   5.6 MiB/s |  85.7 KiB |  00m00s
[170/172] Installing util-linux-0:2.41. 100% |  49.6 MiB/s |   3.6 MiB |  00m00s
[171/172] Installing shadow-utils-2:4.1 100% |  68.4 MiB/s |   4.0 MiB |  00m00s
[172/172] Installing info-0:7.2-6.fc43. 100% | 126.5 KiB/s | 354.3 KiB |  00m03s
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.6.0-2.fc43.x86_64
alternatives-1.33-2.fc43.x86_64
ansible-srpm-macros-1-18.1.fc43.noarch
audit-libs-4.1.1-2.fc44.x86_64
bash-5.3.0-2.fc43.x86_64
binutils-2.45-3.fc44.x86_64
build-reproducibility-srpm-macros-0.6.0-2.fc43.noarch
bzip2-1.0.8-21.fc43.x86_64
bzip2-libs-1.0.8-21.fc43.x86_64
ca-certificates-2025.2.80_v9.0.304-2.fc44.noarch
coreutils-9.7-5.fc43.x86_64
coreutils-common-9.7-5.fc43.x86_64
cpio-2.15-6.fc43.x86_64
crypto-policies-20250714-4.gitcd6043a.fc44.noarch
curl-8.16.0~rc3-1.fc44.x86_64
cyrus-sasl-lib-2.1.28-33.fc44.x86_64
debugedit-5.2-3.fc44.x86_64
diffutils-3.12-3.fc43.x86_64
dwz-0.16-2.fc43.x86_64
ed-1.22.2-1.fc44.x86_64
efi-srpm-macros-6-4.fc43.noarch
elfutils-0.193-3.fc43.x86_64
elfutils-debuginfod-client-0.193-3.fc43.x86_64
elfutils-default-yama-scope-0.193-3.fc43.noarch
elfutils-libelf-0.193-3.fc43.x86_64
elfutils-libs-0.193-3.fc43.x86_64
fedora-gpg-keys-44-0.1.noarch
fedora-release-44-0.2.noarch
fedora-release-common-44-0.2.noarch
fedora-release-identity-basic-44-0.2.noarch
fedora-repos-44-0.1.noarch
fedora-repos-rawhide-44-0.1.noarch
file-5.46-7.fc44.x86_64
file-libs-5.46-7.fc44.x86_64
filesystem-3.18-50.fc43.x86_64
filesystem-srpm-macros-3.18-50.fc43.noarch
findutils-4.10.0-6.fc43.x86_64
fonts-srpm-macros-2.0.5-23.fc43.noarch
forge-srpm-macros-0.4.0-3.fc43.noarch
fpc-srpm-macros-1.3-15.fc43.noarch
gap-srpm-macros-1-1.fc44.noarch
gawk-5.3.2-2.fc43.x86_64
gdb-minimal-16.3-5.fc44.x86_64
gdbm-libs-1.23-10.fc43.x86_64
ghc-srpm-macros-1.9.2-3.fc43.noarch
glibc-2.42.9000-4.fc44.x86_64
glibc-common-2.42.9000-4.fc44.x86_64
glibc-gconv-extra-2.42.9000-4.fc44.x86_64
glibc-minimal-langpack-2.42.9000-4.fc44.x86_64
gmp-6.3.0-4.fc44.x86_64
gnat-srpm-macros-6-8.fc43.noarch
gnupg2-2.4.8-4.fc43.x86_64
gnupg2-dirmngr-2.4.8-4.fc43.x86_64
gnupg2-gpg-agent-2.4.8-4.fc43.x86_64
gnupg2-gpgconf-2.4.8-4.fc43.x86_64
gnupg2-keyboxd-2.4.8-4.fc43.x86_64
gnupg2-verify-2.4.8-4.fc43.x86_64
gnutls-3.8.10-3.fc43.x86_64
go-srpm-macros-3.8.0-1.fc44.noarch
gpg-pubkey-36f612dcf27f7d1a48a835e4dbfcf71c6d9f90a6-6786af3b
gpg-pubkey-4f50a6114cd5c6976a7f1179655a4b02f577861e-6888bc98
gpg-pubkey-c6e7f081cf80e13146676e88829b606631645531-66b6dccf
gpgverify-2.2-3.fc43.noarch
grep-3.12-2.fc43.x86_64
gzip-1.14-1.fc44.x86_64
ima-evm-utils-libs-1.6.2-6.fc43.x86_64
info-7.2-6.fc43.x86_64
jansson-2.14-3.fc43.x86_64
java-srpm-macros-1-7.fc43.noarch
json-c-0.18-7.fc43.x86_64
kernel-srpm-macros-1.0-27.fc43.noarch
keyutils-libs-1.6.3-6.fc43.x86_64
krb5-libs-1.21.3-7.fc43.x86_64
libacl-2.3.2-4.fc43.x86_64
libarchive-3.8.1-3.fc43.x86_64
libassuan-2.5.7-4.fc43.x86_64
libattr-2.5.2-6.fc43.x86_64
libblkid-2.41.1-16.fc44.x86_64
libbrotli-1.1.0-9.fc44.x86_64
libcap-2.76-3.fc44.x86_64
libcap-ng-0.8.5-7.fc44.x86_64
libcom_err-1.47.3-2.fc43.x86_64
libcurl-8.16.0~rc3-1.fc44.x86_64
libeconf-0.7.9-2.fc43.x86_64
libevent-2.1.12-16.fc43.x86_64
libfdisk-2.41.1-16.fc44.x86_64
libffi-3.5.2-1.fc44.x86_64
libfsverity-1.6-3.fc43.x86_64
libgcc-15.2.1-1.fc44.1.x86_64
libgcrypt-1.11.1-2.fc43.x86_64
libgomp-15.2.1-1.fc44.1.x86_64
libgpg-error-1.55-2.fc43.x86_64
libidn2-2.3.8-2.fc43.x86_64
libksba-1.6.7-4.fc43.x86_64
liblastlog2-2.41.1-16.fc44.x86_64
libmount-2.41.1-16.fc44.x86_64
libnghttp2-1.67.0-1.fc44.x86_64
libpkgconf-2.3.0-3.fc43.x86_64
libpsl-0.21.5-6.fc43.x86_64
libselinux-3.9-4.fc44.x86_64
libsemanage-3.9-3.fc44.x86_64
libsepol-3.9-2.fc43.x86_64
libsmartcols-2.41.1-16.fc44.x86_64
libssh-0.11.2-2.fc43.x86_64
libssh-config-0.11.2-2.fc43.noarch
libstdc++-15.2.1-1.fc44.1.x86_64
libtasn1-4.20.0-2.fc43.x86_64
libtool-ltdl-2.5.4-7.fc43.x86_64
libunistring-1.1-10.fc43.x86_64
libusb1-1.0.29-4.fc44.x86_64
libuuid-2.41.1-16.fc44.x86_64
libverto-0.3.2-11.fc43.x86_64
libxcrypt-4.4.38-8.fc43.x86_64
libxml2-2.12.10-4.fc44.x86_64
libzstd-1.5.7-2.fc43.x86_64
lua-libs-5.4.8-2.fc43.x86_64
lua-srpm-macros-1-16.fc43.noarch
lz4-libs-1.10.0-3.fc43.x86_64
mpfr-4.2.2-2.fc43.x86_64
ncurses-base-6.5-7.20250614.fc43.noarch
ncurses-libs-6.5-7.20250614.fc43.x86_64
nettle-3.10.1-2.fc43.x86_64
npth-1.8-3.fc43.x86_64
ocaml-srpm-macros-11-2.fc43.noarch
openblas-srpm-macros-2-20.fc43.noarch
openldap-2.6.10-4.fc44.x86_64
openssl-libs-3.5.1-3.fc44.x86_64
p11-kit-0.25.5-10.fc44.x86_64
p11-kit-trust-0.25.5-10.fc44.x86_64
package-notes-srpm-macros-0.5-14.fc43.noarch
pam-libs-1.7.1-3.fc43.x86_64
patch-2.8-2.fc43.x86_64
pcre2-10.46-1.fc44.x86_64
pcre2-syntax-10.46-1.fc44.noarch
perl-srpm-macros-1-60.fc43.noarch
pkgconf-2.3.0-3.fc43.x86_64
pkgconf-m4-2.3.0-3.fc43.noarch
pkgconf-pkg-config-2.3.0-3.fc43.x86_64
popt-1.19-9.fc43.x86_64
publicsuffix-list-dafsa-20250616-2.fc43.noarch
pyproject-srpm-macros-1.18.4-1.fc44.noarch
python-srpm-macros-3.14-7.fc44.noarch
qt5-srpm-macros-5.15.17-2.fc43.noarch
qt6-srpm-macros-6.9.2-1.fc44.noarch
readline-8.3-2.fc43.x86_64
redhat-rpm-config-343-13.fc44.noarch
rpm-5.99.92-1.fc44.x86_64
rpm-build-5.99.92-1.fc44.x86_64
rpm-build-libs-5.99.92-1.fc44.x86_64
rpm-libs-5.99.92-1.fc44.x86_64
rpm-sequoia-1.9.0-2.fc43.x86_64
rpm-sign-libs-5.99.92-1.fc44.x86_64
rust-srpm-macros-26.4-1.fc44.noarch
sed-4.9-5.fc43.x86_64
setup-2.15.0-26.fc43.noarch
shadow-utils-4.18.0-3.fc43.x86_64
sqlite-libs-3.50.2-2.fc43.x86_64
systemd-libs-258~rc4-1.fc44.x86_64
systemd-standalone-sysusers-258~rc4-1.fc44.x86_64
tar-1.35-6.fc43.x86_64
tpm2-tss-4.1.3-8.fc43.x86_64
tree-sitter-srpm-macros-0.4.2-1.fc43.noarch
unzip-6.0-68.fc44.x86_64
util-linux-2.41.1-16.fc44.x86_64
util-linux-core-2.41.1-16.fc44.x86_64
which-2.23-3.fc43.x86_64
xxhash-libs-0.8.3-3.fc43.x86_64
xz-5.8.1-2.fc43.x86_64
xz-libs-5.8.1-2.fc43.x86_64
zig-srpm-macros-1-5.fc43.noarch
zip-3.0-44.fc43.x86_64
zlib-ng-compat-2.2.5-1.fc43.x86_64
zstd-1.5.7-2.fc43.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc44.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_64-1757333401.214824/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-3dru4nab/python-xbout/python-xbout.spec) Config(child) 0 minutes 33 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/python-xbout-0.3.6-6.fc44.src.rpm)  Config(fedora-rawhide-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1757333401.214824/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1757333401.214824/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_64-1757333401.214824/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-5.99.92-1.fc44.x86_64
  rpm-sequoia-1.9.0-2.fc43.x86_64
  dnf5-5.2.17.0-1.fc44.x86_64
  dnf5-plugins-5.2.17.0-1.fc44.x86_64
Finish: chroot init
Start: build phase for python-xbout-0.3.6-6.fc44.src.rpm
Start: build setup for python-xbout-0.3.6-6.fc44.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc44.src.rpm
Updating and loading repositories:
 Copr repository                        100% |  71.4 KiB/s |   2.1 KiB |  00m00s
 fedora                                 100% | 502.4 KiB/s |  29.1 KiB |  00m00s
Repositories loaded.
Package                           Arch   Version              Repository      Size
Installing:
 python3-boutdata                 noarch 0.3.0-5.fc44         fedora       1.2 MiB
 python3-devel                    x86_64 3.14.0~rc2-1.fc44    fedora       1.9 MiB
 python3-pytest                   noarch 8.3.5-8.fc44         fedora      21.6 MiB
 python3-sphinx                   noarch 1:8.2.3-10.fc44      fedora      12.3 MiB
 python3-sphinx-autodoc-typehints noarch 3.1.0-4.fc44         fedora     129.1 KiB
Installing dependencies:
 abattis-cantarell-vf-fonts       noarch 0.301-15.fc43        fedora     192.7 KiB
 blosc                            x86_64 1.21.6-7.fc43        fedora     126.2 KiB
 cairo                            x86_64 1.18.4-2.fc43        fedora       1.8 MiB
 default-fonts-core-sans          noarch 4.2-5.fc43           fedora      11.9 KiB
 dejavu-sans-fonts                noarch 2.37-26.fc43         fedora       5.5 MiB
 expat                            x86_64 2.7.1-3.fc43         fedora     294.2 KiB
 flexiblas                        x86_64 3.4.5-5.fc44         fedora      50.4 KiB
 flexiblas-netlib                 x86_64 3.4.5-5.fc44         fedora      10.9 MiB
 flexiblas-openblas-openmp        x86_64 3.4.5-5.fc44         fedora      39.2 KiB
 fontconfig                       x86_64 2.17.0-3.fc43        fedora     765.9 KiB
 fonts-filesystem                 noarch 1:2.0.5-23.fc43      fedora       0.0   B
 freetype                         x86_64 2.13.3-3.fc43        fedora     850.2 KiB
 fribidi                          x86_64 1.0.16-3.fc43        fedora     190.3 KiB
 glib2                            x86_64 2.85.4-1.fc44        fedora      14.7 MiB
 google-noto-fonts-common         noarch 20250901-1.fc44      fedora      17.7 KiB
 google-noto-sans-vf-fonts        noarch 20250901-1.fc44      fedora       1.4 MiB
 graphite2                        x86_64 1.3.14-19.fc43       fedora     191.8 KiB
 harfbuzz                         x86_64 11.4.5-1.fc44        fedora       2.8 MiB
 hdf-libs                         x86_64 4.3.0-4.fc43         fedora     687.2 KiB
 hdf5                             x86_64 1.14.6-6.fc43        fedora       6.4 MiB
 jbigkit-libs                     x86_64 2.1-32.fc43          fedora     113.5 KiB
 lcms2                            x86_64 2.16-6.fc43          fedora     433.7 KiB
 libX11                           x86_64 1.8.12-1.fc43        fedora       1.3 MiB
 libX11-common                    noarch 1.8.12-1.fc43        fedora       1.2 MiB
 libXau                           x86_64 1.0.12-3.fc43        fedora      72.9 KiB
 libXext                          x86_64 1.3.6-4.fc43         fedora      90.0 KiB
 libXrender                       x86_64 0.9.12-3.fc43        fedora      46.0 KiB
 libaec                           x86_64 1.1.4-3.fc44         fedora      90.4 KiB
 libgfortran                      x86_64 15.2.1-1.fc44.1      fedora       3.4 MiB
 libimagequant                    x86_64 4.0.3-8.fc43         fedora     690.9 KiB
 libjpeg-turbo                    x86_64 3.1.2-1.fc44         fedora     804.8 KiB
 liblerc                          x86_64 4.0.0-9.fc43         fedora     624.1 KiB
 libpng                           x86_64 2:1.6.50-2.fc43      fedora     237.7 KiB
 libqhull_r                       x86_64 1:8.0.2-7.fc43       fedora     483.3 KiB
 libquadmath                      x86_64 15.2.1-1.fc44.1      fedora     317.9 KiB
 libraqm                          x86_64 0.10.1-3.fc43        fedora      28.6 KiB
 libtiff                          x86_64 4.7.0-8.fc44         fedora     619.0 KiB
 libtirpc                         x86_64 1.3.7-0.fc44         fedora     198.9 KiB
 libwebp                          x86_64 1.6.0-2.fc43         fedora     956.6 KiB
 libxcb                           x86_64 1.17.0-6.fc43        fedora       1.1 MiB
 libzip                           x86_64 1.11.4-2.fc43        fedora     135.8 KiB
 lzo                              x86_64 2.10-15.fc43         fedora     178.9 KiB
 mpdecimal                        x86_64 4.0.1-2.fc43         fedora     217.2 KiB
 netcdf                           x86_64 4.9.3-1.fc44         fedora       2.5 MiB
 openblas                         x86_64 0.3.29-2.fc43        fedora     111.7 KiB
 openblas-openmp                  x86_64 0.3.29-2.fc43        fedora      43.7 MiB
 openjpeg                         x86_64 2.5.3-8.fc43         fedora     455.7 KiB
 pixman                           x86_64 0.46.2-2.fc43        fedora     710.3 KiB
 pyproject-rpm-macros             noarch 1.18.4-1.fc44        fedora     114.9 KiB
 python-pip-wheel                 noarch 25.2-2.fc44          fedora       1.2 MiB
 python-rpm-macros                noarch 3.14-7.fc44          fedora      27.6 KiB
 python3                          x86_64 3.14.0~rc2-1.fc44    fedora      28.9 KiB
 python3-babel                    noarch 2.17.0-5.fc44        fedora      30.3 MiB
 python3-cairo                    x86_64 1.28.0-3.fc44        fedora     492.9 KiB
 python3-certifi                  noarch 2025.07.09-2.fc44    fedora       7.4 KiB
 python3-cftime                   x86_64 1.6.4-9.fc44         fedora     581.6 KiB
 python3-charset-normalizer       noarch 3.4.3-2.fc44         fedora     355.7 KiB
 python3-contourpy                x86_64 1.3.3-2.fc44         fedora     856.7 KiB
 python3-cycler                   noarch 0.11.0-18.fc44       fedora      37.8 KiB
 python3-dateutil                 noarch 1:2.9.0.post0-5.fc44 fedora     877.5 KiB
 python3-docutils                 noarch 0.21.2-5.fc44        fedora       5.0 MiB
 python3-fonttools                x86_64 4.59.2-1.fc44        fedora      19.0 MiB
 python3-idna                     noarch 3.10-5.fc44          fedora     730.6 KiB
 python3-imagesize                noarch 1.4.1-13.fc44        fedora      36.0 KiB
 python3-iniconfig                noarch 2.1.0-2.fc44         fedora      42.4 KiB
 python3-jinja2                   noarch 3.1.6-5.fc44         fedora       3.1 MiB
 python3-kiwisolver               x86_64 1.4.9-2.fc44         fedora     154.0 KiB
 python3-libs                     x86_64 3.14.0~rc2-1.fc44    fedora      42.9 MiB
 python3-markupsafe               x86_64 3.0.2-5.fc44         fedora      61.5 KiB
 python3-matplotlib               x86_64 3.10.6-1.fc44        fedora      31.6 MiB
 python3-matplotlib-data-fonts    x86_64 3.10.6-1.fc44        fedora       7.9 MiB
 python3-mpmath                   noarch 1.3.0-15.fc44        fedora       5.3 MiB
 python3-natsort                  noarch 8.4.0-7.fc44         fedora     264.5 KiB
 python3-netcdf4                  x86_64 1.7.2-8.fc44         fedora       2.3 MiB
 python3-numpy                    x86_64 1:2.3.2-2.fc44       fedora      41.3 MiB
 python3-numpy-f2py               x86_64 1:2.3.2-2.fc44       fedora       2.1 MiB
 python3-olefile                  noarch 0.47-10.fc44         fedora     346.5 KiB
 python3-packaging                noarch 25.0-5.fc44          fedora     607.4 KiB
 python3-pillow                   x86_64 11.3.0-4.fc44        fedora       4.2 MiB
 python3-platformdirs             noarch 4.4.0-1.fc44         fedora     182.4 KiB
 python3-pluggy                   noarch 1.6.0-3.fc44         fedora     211.0 KiB
 python3-pooch                    noarch 1.8.2-8.fc44         fedora     635.3 KiB
 python3-pygments                 noarch 2.19.1-5.fc44        fedora      11.3 MiB
 python3-pyparsing                noarch 3.1.2-13.fc44        fedora       1.0 MiB
 python3-requests                 noarch 2.32.5-1.fc44        fedora     476.9 KiB
 python3-roman-numerals-py        noarch 3.1.0-4.fc44         fedora      40.4 KiB
 python3-rpm-generators           noarch 14-13.fc43           fedora      81.7 KiB
 python3-rpm-macros               noarch 3.14-7.fc44          fedora       6.5 KiB
 python3-scipy                    x86_64 1.15.3-5.fc44        fedora      68.8 MiB
 python3-six                      noarch 1.17.0-6.fc44        fedora     118.0 KiB
 python3-snowballstemmer          noarch 3.0.1-7.fc44         fedora       1.8 MiB
 python3-sphinx-theme-alabaster   noarch 0.7.16-10.fc44       fedora      42.0 KiB
 python3-sympy                    noarch 1.14.0-6.fc44        fedora      84.3 MiB
 python3-urllib3                  noarch 2.5.0-2.fc44         fedora       1.1 MiB
 snappy                           x86_64 1.2.2-2.fc43         fedora      71.8 KiB
 tzdata                           noarch 2025b-3.fc43         fedora       1.6 MiB
 xml-common                       noarch 0.6.3-67.fc43        fedora      78.4 KiB

Transaction Summary:
 Installing:       102 packages

Total size of inbound packages is 114 MiB. Need to download 114 MiB.
After this operation, 518 MiB extra will be used (install 518 MiB, remove 0 B).
[  1/102] python3-sphinx-autodoc-typehi 100% | 256.5 KiB/s |  53.9 KiB |  00m00s
[  2/102] python3-boutdata-0:0.3.0-5.fc 100% |   2.3 MiB/s | 335.5 KiB |  00m00s
[  3/102] python3-pytest-0:8.3.5-8.fc44 100% |   5.1 MiB/s |   2.2 MiB |  00m00s
[  4/102] python3-sphinx-1:8.2.3-10.fc4 100% |   6.3 MiB/s |   2.9 MiB |  00m00s
[  5/102] python3-devel-0:3.14.0~rc2-1. 100% |   4.3 MiB/s | 434.8 KiB |  00m00s
[  6/102] python3-iniconfig-0:2.1.0-2.f 100% | 504.9 KiB/s |  22.7 KiB |  00m00s
[  7/102] python3-packaging-0:25.0-5.fc 100% |   3.3 MiB/s | 161.2 KiB |  00m00s
[  8/102] python3-pluggy-0:1.6.0-3.fc44 100% |   1.3 MiB/s |  61.5 KiB |  00m00s
[  9/102] python3-imagesize-0:1.4.1-13. 100% | 458.4 KiB/s |  22.0 KiB |  00m00s
[ 10/102] python3-docutils-0:0.21.2-5.f 100% |   9.9 MiB/s |   1.1 MiB |  00m00s
[ 11/102] python3-jinja2-0:3.1.6-5.fc44 100% |   7.7 MiB/s | 515.7 KiB |  00m00s
[ 12/102] python3-babel-0:2.17.0-5.fc44 100% |  40.8 MiB/s |   6.9 MiB |  00m00s
[ 13/102] python3-requests-0:2.32.5-1.f 100% |   3.0 MiB/s | 160.3 KiB |  00m00s
[ 14/102] python3-roman-numerals-py-0:3 100% | 455.3 KiB/s |  20.0 KiB |  00m00s
[ 15/102] python3-pygments-0:2.19.1-5.f 100% |  27.0 MiB/s |   2.7 MiB |  00m00s
[ 16/102] python3-snowballstemmer-0:3.0 100% |   5.3 MiB/s | 280.6 KiB |  00m00s
[ 17/102] python3-sphinx-theme-alabaste 100% | 508.6 KiB/s |  24.4 KiB |  00m00s
[ 18/102] python3-natsort-0:8.4.0-7.fc4 100% |   1.1 MiB/s |  83.0 KiB |  00m00s
[ 19/102] python3-netcdf4-0:1.7.2-8.fc4 100% |  10.9 MiB/s | 645.9 KiB |  00m00s
[ 20/102] python3-numpy-1:2.3.2-2.fc44. 100% |  30.9 MiB/s |   8.2 MiB |  00m00s
[ 21/102] python3-matplotlib-0:3.10.6-1 100% |  15.5 MiB/s |   7.9 MiB |  00m01s
[ 22/102] python3-libs-0:3.14.0~rc2-1.f 100% |  21.2 MiB/s |   9.8 MiB |  00m00s
[ 23/102] python3-markupsafe-0:3.0.2-5. 100% | 686.4 KiB/s |  31.6 KiB |  00m00s
[ 24/102] python3-scipy-0:1.15.3-5.fc44 100% |  16.9 MiB/s |  16.5 MiB |  00m01s
[ 25/102] python3-charset-normalizer-0: 100% |   2.4 MiB/s | 117.2 KiB |  00m00s
[ 26/102] python3-urllib3-0:2.5.0-2.fc4 100% |   5.8 MiB/s | 297.5 KiB |  00m00s
[ 27/102] python3-idna-0:3.10-5.fc44.no 100% |   1.8 MiB/s | 124.0 KiB |  00m00s
[ 28/102] dejavu-sans-fonts-0:2.37-26.f 100% |  20.1 MiB/s |   1.3 MiB |  00m00s
[ 29/102] freetype-0:2.13.3-3.fc43.x86_ 100% |   7.7 MiB/s | 412.1 KiB |  00m00s
[ 30/102] libqhull_r-1:8.0.2-7.fc43.x86 100% |   3.6 MiB/s | 201.9 KiB |  00m00s
[ 31/102] python3-sympy-0:1.14.0-6.fc44 100% |  17.4 MiB/s |  15.9 MiB |  00m01s
[ 32/102] python3-contourpy-0:1.3.3-2.f 100% |   3.5 MiB/s | 285.7 KiB |  00m00s
[ 33/102] python3-cycler-0:0.11.0-18.fc 100% | 495.3 KiB/s |  21.8 KiB |  00m00s
[ 34/102] python3-dateutil-1:2.9.0.post 100% |   6.9 MiB/s | 344.2 KiB |  00m00s
[ 35/102] python3-kiwisolver-0:1.4.9-2. 100% |   1.5 MiB/s |  68.2 KiB |  00m00s
[ 36/102] python3-pyparsing-0:3.1.2-13. 100% |   5.7 MiB/s | 286.8 KiB |  00m00s
[ 37/102] netcdf-0:4.9.3-1.fc44.x86_64  100% |  15.0 MiB/s | 845.0 KiB |  00m00s
[ 38/102] python3-certifi-0:2025.07.09- 100% | 324.2 KiB/s |  14.9 KiB |  00m00s
[ 39/102] python3-fonttools-0:4.59.2-1. 100% |  12.6 MiB/s |   3.1 MiB |  00m00s
[ 40/102] python3-matplotlib-data-fonts 100% |  10.4 MiB/s |   2.3 MiB |  00m00s
[ 41/102] python3-cftime-0:1.6.4-9.fc44 100% |   2.9 MiB/s | 218.1 KiB |  00m00s
[ 42/102] python3-numpy-f2py-1:2.3.2-2. 100% |  10.0 MiB/s | 510.6 KiB |  00m00s
[ 43/102] libgfortran-0:15.2.1-1.fc44.1 100% |  15.5 MiB/s | 969.5 KiB |  00m00s
[ 44/102] flexiblas-netlib-0:3.4.5-5.fc 100% |  29.7 MiB/s |   3.4 MiB |  00m00s
[ 45/102] python3-pooch-0:1.8.2-8.fc44. 100% |   3.0 MiB/s | 139.2 KiB |  00m00s
[ 46/102] expat-0:2.7.1-3.fc43.x86_64   100% |   2.5 MiB/s | 116.1 KiB |  00m00s
[ 47/102] mpdecimal-0:4.0.1-2.fc43.x86_ 100% |   1.9 MiB/s |  97.1 KiB |  00m00s
[ 48/102] python3-mpmath-0:1.3.0-15.fc4 100% |  14.9 MiB/s |   1.1 MiB |  00m00s
[ 49/102] python-pip-wheel-0:25.2-2.fc4 100% |  19.5 MiB/s |   1.1 MiB |  00m00s
[ 50/102] fonts-filesystem-1:2.0.5-23.f 100% | 192.8 KiB/s |   8.7 KiB |  00m00s
[ 51/102] tzdata-0:2025b-3.fc43.noarch  100% |  12.4 MiB/s | 713.9 KiB |  00m00s
[ 52/102] libpng-2:1.6.50-2.fc43.x86_64 100% |   2.6 MiB/s | 123.0 KiB |  00m00s
[ 53/102] python3-six-0:1.17.0-6.fc44.n 100% | 927.8 KiB/s |  41.8 KiB |  00m00s
[ 54/102] harfbuzz-0:11.4.5-1.fc44.x86_ 100% |  10.7 MiB/s |   1.1 MiB |  00m00s
[ 55/102] blosc-0:1.21.6-7.fc43.x86_64  100% | 612.1 KiB/s |  58.1 KiB |  00m00s
[ 56/102] libzip-0:1.11.4-2.fc43.x86_64 100% |   1.5 MiB/s |  70.0 KiB |  00m00s
[ 57/102] libaec-0:1.1.4-3.fc44.x86_64  100% | 335.7 KiB/s |  37.6 KiB |  00m00s
[ 58/102] flexiblas-0:3.4.5-5.fc44.x86_ 100% | 592.6 KiB/s |  26.1 KiB |  00m00s
[ 59/102] flexiblas-openblas-openmp-0:3 100% | 391.0 KiB/s |  17.2 KiB |  00m00s
[ 60/102] hdf5-0:1.14.6-6.fc43.x86_64   100% |   9.1 MiB/s |   2.0 MiB |  00m00s
[ 61/102] libquadmath-0:15.2.1-1.fc44.1 100% |   4.2 MiB/s | 202.5 KiB |  00m00s
[ 62/102] python3-platformdirs-0:4.4.0- 100% | 810.4 KiB/s |  49.4 KiB |  00m00s
[ 63/102] graphite2-0:1.3.14-19.fc43.x8 100% |   1.9 MiB/s |  95.6 KiB |  00m00s
[ 64/102] snappy-0:1.2.2-2.fc43.x86_64  100% | 880.5 KiB/s |  39.6 KiB |  00m00s
[ 65/102] python3-0:3.14.0~rc2-1.fc44.x 100% | 584.7 KiB/s |  27.5 KiB |  00m00s
[ 66/102] openblas-openmp-0:0.3.29-2.fc 100% |  41.9 MiB/s |   5.4 MiB |  00m00s
[ 67/102] python3-cairo-0:1.28.0-3.fc44 100% |   2.7 MiB/s | 126.1 KiB |  00m00s
[ 68/102] glib2-0:2.85.4-1.fc44.x86_64  100% |  16.5 MiB/s |   3.1 MiB |  00m00s
[ 69/102] fontconfig-0:2.17.0-3.fc43.x8 100% |   5.1 MiB/s | 272.2 KiB |  00m00s
[ 70/102] cairo-0:1.18.4-2.fc43.x86_64  100% |  11.7 MiB/s | 729.3 KiB |  00m00s
[ 71/102] libX11-0:1.8.12-1.fc43.x86_64 100% |   9.8 MiB/s | 655.6 KiB |  00m00s
[ 72/102] libXext-0:1.3.6-4.fc43.x86_64 100% | 868.0 KiB/s |  39.1 KiB |  00m00s
[ 73/102] libXrender-0:0.9.12-3.fc43.x8 100% | 597.2 KiB/s |  26.9 KiB |  00m00s
[ 74/102] libxcb-0:1.17.0-6.fc43.x86_64 100% |   4.9 MiB/s | 237.7 KiB |  00m00s
[ 75/102] lzo-0:2.10-15.fc43.x86_64     100% |   1.5 MiB/s |  69.4 KiB |  00m00s
[ 76/102] pixman-0:0.46.2-2.fc43.x86_64 100% |   6.0 MiB/s | 292.5 KiB |  00m00s
[ 77/102] default-fonts-core-sans-0:4.2 100% | 664.4 KiB/s |  29.9 KiB |  00m00s
[ 78/102] xml-common-0:0.6.3-67.fc43.no 100% | 705.6 KiB/s |  31.0 KiB |  00m00s
[ 79/102] libXau-0:1.0.12-3.fc43.x86_64 100% | 696.8 KiB/s |  33.4 KiB |  00m00s
[ 80/102] libX11-common-0:1.8.12-1.fc43 100% |   3.5 MiB/s | 175.9 KiB |  00m00s
[ 81/102] abattis-cantarell-vf-fonts-0: 100% |   2.6 MiB/s | 120.1 KiB |  00m00s
[ 82/102] google-noto-fonts-common-0:20 100% | 387.6 KiB/s |  17.1 KiB |  00m00s
[ 83/102] python3-pillow-0:11.3.0-4.fc4 100% |  18.0 MiB/s |   1.0 MiB |  00m00s
[ 84/102] google-noto-sans-vf-fonts-0:2 100% |   7.1 MiB/s | 614.2 KiB |  00m00s
[ 85/102] lcms2-0:2.16-6.fc43.x86_64    100% |   3.9 MiB/s | 182.8 KiB |  00m00s
[ 86/102] libimagequant-0:4.0.3-8.fc43. 100% |   6.3 MiB/s | 313.8 KiB |  00m00s
[ 87/102] libraqm-0:0.10.1-3.fc43.x86_6 100% | 509.4 KiB/s |  22.4 KiB |  00m00s
[ 88/102] libjpeg-turbo-0:3.1.2-1.fc44. 100% |   2.7 MiB/s | 236.7 KiB |  00m00s
[ 89/102] libtiff-0:4.7.0-8.fc44.x86_64 100% |   4.6 MiB/s | 221.1 KiB |  00m00s
[ 90/102] libwebp-0:1.6.0-2.fc43.x86_64 100% |   6.2 MiB/s | 324.2 KiB |  00m00s
[ 91/102] openjpeg-0:2.5.3-8.fc43.x86_6 100% |   4.0 MiB/s | 192.1 KiB |  00m00s
[ 92/102] python3-olefile-0:0.47-10.fc4 100% |   1.6 MiB/s |  74.8 KiB |  00m00s
[ 93/102] fribidi-0:1.0.16-3.fc43.x86_6 100% |   1.2 MiB/s |  53.3 KiB |  00m00s
[ 94/102] jbigkit-libs-0:2.1-32.fc43.x8 100% |   1.2 MiB/s |  53.2 KiB |  00m00s
[ 95/102] liblerc-0:4.0.0-9.fc43.x86_64 100% |   4.5 MiB/s | 215.1 KiB |  00m00s
[ 96/102] openblas-0:0.3.29-2.fc43.x86_ 100% | 960.7 KiB/s |  42.3 KiB |  00m00s
[ 97/102] libtirpc-0:1.3.7-0.fc44.x86_6 100% |   2.0 MiB/s |  94.1 KiB |  00m00s
[ 98/102] python-rpm-macros-0:3.14-7.fc 100% | 431.5 KiB/s |  19.4 KiB |  00m00s
[ 99/102] pyproject-rpm-macros-0:1.18.4 100% | 467.6 KiB/s |  44.9 KiB |  00m00s
[100/102] hdf-libs-0:4.3.0-4.fc43.x86_6 100% |   2.4 MiB/s | 291.3 KiB |  00m00s
[101/102] python3-rpm-generators-0:14-1 100% | 648.5 KiB/s |  28.5 KiB |  00m00s
[102/102] python3-rpm-macros-0:3.14-7.f 100% | 206.3 KiB/s |  12.0 KiB |  00m00s
--------------------------------------------------------------------------------
[102/102] Total                         100% |  32.0 MiB/s | 114.1 MiB |  00m04s
Running transaction
[  1/104] Verify package files          100% | 232.0   B/s | 102.0   B |  00m00s
[  2/104] Prepare transaction           100% | 461.0   B/s | 102.0   B |  00m00s
[  3/104] Installing fonts-filesystem-1 100% | 769.5 KiB/s | 788.0   B |  00m00s
[  4/104] Installing libgfortran-0:15.2 100% | 223.7 MiB/s |   3.4 MiB |  00m00s
[  5/104] Installing python-rpm-macros- 100% |  27.8 MiB/s |  28.5 KiB |  00m00s
[  6/104] Installing libjpeg-turbo-0:3. 100% | 131.3 MiB/s | 806.6 KiB |  00m00s
[  7/104] Installing libaec-0:1.1.4-3.f 100% |  90.6 MiB/s |  92.8 KiB |  00m00s
[  8/104] Installing python3-rpm-macros 100% |   0.0   B/s |   6.8 KiB |  00m00s
[  9/104] Installing libwebp-0:1.6.0-2. 100% | 104.2 MiB/s | 960.7 KiB |  00m00s
[ 10/104] Installing libpng-2:1.6.50-2. 100% |  38.9 MiB/s | 239.0 KiB |  00m00s
[ 11/104] Installing tzdata-0:2025b-3.f 100% |  22.3 MiB/s |   1.9 MiB |  00m00s
[ 12/104] Installing pyproject-rpm-macr 100% |  57.1 MiB/s | 116.8 KiB |  00m00s
[ 13/104] Installing hdf5-0:1.14.6-6.fc 100% | 116.1 MiB/s |   6.4 MiB |  00m00s
[ 14/104] Installing dejavu-sans-fonts- 100% | 196.7 MiB/s |   5.5 MiB |  00m00s
[ 15/104] Installing abattis-cantarell- 100% |  94.9 MiB/s | 194.4 KiB |  00m00s
[ 16/104] Installing libtirpc-0:1.3.7-0 100% |  98.0 MiB/s | 200.7 KiB |  00m00s
[ 17/104] Installing hdf-libs-0:4.3.0-4 100% | 224.1 MiB/s | 688.3 KiB |  00m00s
[ 18/104] Installing openblas-0:0.3.29- 100% | 110.8 MiB/s | 113.5 KiB |  00m00s
[ 19/104] Installing openblas-openmp-0: 100% | 249.6 MiB/s |  43.7 MiB |  00m00s
[ 20/104] Installing liblerc-0:4.0.0-9. 100% | 203.6 MiB/s | 625.6 KiB |  00m00s
[ 21/104] Installing jbigkit-libs-0:2.1 100% |  56.4 MiB/s | 115.4 KiB |  00m00s
[ 22/104] Installing libtiff-0:4.7.0-8. 100% |  55.2 MiB/s | 621.3 KiB |  00m00s
[ 23/104] Installing fribidi-0:1.0.16-3 100% |  12.6 MiB/s | 192.8 KiB |  00m00s
[ 24/104] Installing openjpeg-0:2.5.3-8 100% | 149.0 MiB/s | 457.7 KiB |  00m00s
[ 25/104] Installing libimagequant-0:4. 100% | 112.7 MiB/s | 692.5 KiB |  00m00s
[ 26/104] Installing lcms2-0:2.16-6.fc4 100% | 141.7 MiB/s | 435.3 KiB |  00m00s
[ 27/104] Installing google-noto-fonts- 100% |  18.1 MiB/s |  18.5 KiB |  00m00s
[ 28/104] Installing google-noto-sans-v 100% | 173.9 MiB/s |   1.4 MiB |  00m00s
[ 29/104] Installing default-fonts-core 100% |   8.9 MiB/s |  18.2 KiB |  00m00s
[ 30/104] Installing libXau-0:1.0.12-3. 100% |  72.7 MiB/s |  74.5 KiB |  00m00s
[ 31/104] Installing libxcb-0:1.17.0-6. 100% |  90.0 MiB/s |   1.1 MiB |  00m00s
[ 32/104] Installing libX11-common-0:1. 100% |  59.4 MiB/s |   1.2 MiB |  00m00s
[ 33/104] Installing libX11-0:1.8.12-1. 100% | 213.6 MiB/s |   1.3 MiB |  00m00s
[ 34/104] Installing libXext-0:1.3.6-4. 100% |  89.1 MiB/s |  91.2 KiB |  00m00s
[ 35/104] Installing libXrender-0:0.9.1 100% |   3.6 MiB/s |  47.3 KiB |  00m00s
[ 36/104] Installing xml-common-0:0.6.3 100% |  39.6 MiB/s |  81.1 KiB |  00m00s
[ 37/104] Installing pixman-0:0.46.2-2. 100% |  63.2 MiB/s | 711.4 KiB |  00m00s
[ 38/104] Installing lzo-0:2.10-15.fc43 100% |  88.1 MiB/s | 180.5 KiB |  00m00s
[ 39/104] Installing snappy-0:1.2.2-2.f 100% |  71.8 MiB/s |  73.5 KiB |  00m00s
[ 40/104] Installing blosc-0:1.21.6-7.f 100% |  63.0 MiB/s | 129.0 KiB |  00m00s
[ 41/104] Installing graphite2-0:1.3.14 100% |  11.1 MiB/s | 193.9 KiB |  00m00s
[ 42/104] Installing glib2-0:2.85.4-1.f 100% | 152.0 MiB/s |  14.7 MiB |  00m00s
[ 43/104] Installing freetype-0:2.13.3- 100% | 104.0 MiB/s | 851.9 KiB |  00m00s
[ 44/104] Installing harfbuzz-0:11.4.5- 100% | 189.5 MiB/s |   2.8 MiB |  00m00s
[ 45/104] Installing libraqm-0:0.10.1-3 100% |  29.0 MiB/s |  29.7 KiB |  00m00s
[ 46/104] Installing fontconfig-0:2.17. 100% | 736.7 KiB/s | 785.3 KiB |  00m01s
[ 47/104] Installing cairo-0:1.18.4-2.f 100% | 177.2 MiB/s |   1.8 MiB |  00m00s
[ 48/104] Installing libquadmath-0:15.2 100% |  77.9 MiB/s | 319.2 KiB |  00m00s
[ 49/104] Installing flexiblas-netlib-0 100% | 173.3 MiB/s |  10.9 MiB |  00m00s
[ 50/104] Installing flexiblas-0:3.4.5- 100% |  50.4 MiB/s |  51.6 KiB |  00m00s
[ 51/104] Installing flexiblas-openblas 100% |   9.8 MiB/s |  40.1 KiB |  00m00s
[ 52/104] Installing libzip-0:1.11.4-2. 100% |  66.9 MiB/s | 137.0 KiB |  00m00s
[ 53/104] Installing netcdf-0:4.9.3-1.f 100% |  84.9 MiB/s |   2.5 MiB |  00m00s
[ 54/104] Installing python-pip-wheel-0 100% | 196.6 MiB/s |   1.2 MiB |  00m00s
[ 55/104] Installing mpdecimal-0:4.0.1- 100% | 106.8 MiB/s | 218.8 KiB |  00m00s
[ 56/104] Installing expat-0:2.7.1-3.fc 100% |  13.8 MiB/s | 296.3 KiB |  00m00s
[ 57/104] Installing python3-libs-0:3.1 100% | 157.5 MiB/s |  43.3 MiB |  00m00s
[ 58/104] Installing python3-0:3.14.0~r 100% |   1.7 MiB/s |  30.7 KiB |  00m00s
[ 59/104] Installing python3-numpy-1:2. 100% | 157.1 MiB/s |  41.6 MiB |  00m00s
[ 60/104] Installing python3-numpy-f2py 100% |  57.1 MiB/s |   2.2 MiB |  00m00s
[ 61/104] Installing python3-packaging- 100% | 100.9 MiB/s | 619.9 KiB |  00m00s
[ 62/104] Installing python3-idna-0:3.1 100% |  90.0 MiB/s | 737.1 KiB |  00m00s
[ 63/104] Installing python3-urllib3-0: 100% |  69.4 MiB/s |   1.1 MiB |  00m00s
[ 64/104] Installing python3-rpm-genera 100% |  40.5 MiB/s |  82.9 KiB |  00m00s
[ 65/104] Installing python3-contourpy- 100% | 141.5 MiB/s | 869.5 KiB |  00m00s
[ 66/104] Installing python3-cftime-0:1 100% |  95.3 MiB/s | 585.3 KiB |  00m00s
[ 67/104] Installing python3-iniconfig- 100% |  22.7 MiB/s |  46.5 KiB |  00m00s
[ 68/104] Installing python3-pluggy-0:1 100% |  42.5 MiB/s | 217.5 KiB |  00m00s
[ 69/104] Installing python3-babel-0:2. 100% | 158.9 MiB/s |  30.5 MiB |  00m00s
[ 70/104] Installing python3-docutils-0 100% |  83.0 MiB/s |   5.1 MiB |  00m00s
[ 71/104] Installing python3-imagesize- 100% |   9.6 MiB/s |  39.1 KiB |  00m00s
[ 72/104] Installing python3-pygments-0 100% | 109.4 MiB/s |  11.5 MiB |  00m00s
[ 73/104] Installing python3-roman-nume 100% |  21.2 MiB/s |  43.4 KiB |  00m00s
[ 74/104] Installing python3-snowballst 100% | 124.0 MiB/s |   1.9 MiB |  00m00s
[ 75/104] Installing python3-sphinx-the 100% |  22.8 MiB/s |  46.6 KiB |  00m00s
[ 76/104] Installing python3-natsort-0: 100% |  15.7 MiB/s | 273.4 KiB |  00m00s
[ 77/104] Installing python3-markupsafe 100% |  32.1 MiB/s |  65.8 KiB |  00m00s
[ 78/104] Installing python3-jinja2-0:3 100% | 147.2 MiB/s |   3.1 MiB |  00m00s
[ 79/104] Installing python3-charset-no 100% |  19.8 MiB/s | 365.8 KiB |  00m00s
[ 80/104] Installing python3-requests-0 100% |  47.7 MiB/s | 488.9 KiB |  00m00s
[ 81/104] Installing python3-sphinx-1:8 100% |  94.4 MiB/s |  12.5 MiB |  00m00s
[ 82/104] Installing python3-cycler-0:0 100% |   9.8 MiB/s |  40.3 KiB |  00m00s
[ 83/104] Installing python3-fonttools- 100% | 146.4 MiB/s |  19.2 MiB |  00m00s
[ 84/104] Installing python3-kiwisolver 100% |  51.5 MiB/s | 158.1 KiB |  00m00s
[ 85/104] Installing python3-pyparsing- 100% | 171.6 MiB/s |   1.0 MiB |  00m00s
[ 86/104] Installing python3-certifi-0: 100% |   5.4 MiB/s |  11.2 KiB |  00m00s
[ 87/104] Installing python3-netcdf4-0: 100% | 121.7 MiB/s |   2.3 MiB |  00m00s
[ 88/104] Installing python3-mpmath-0:1 100% | 114.4 MiB/s |   5.4 MiB |  00m00s
[ 89/104] Installing python3-sympy-0:1. 100% | 137.9 MiB/s |  85.2 MiB |  00m01s
[ 90/104] Installing python3-six-0:1.17 100% |  58.7 MiB/s | 120.3 KiB |  00m00s
[ 91/104] Installing python3-dateutil-1 100% | 124.3 MiB/s | 891.1 KiB |  00m00s
[ 92/104] Installing python3-platformdi 100% |  61.5 MiB/s | 188.8 KiB |  00m00s
[ 93/104] Installing python3-pooch-0:1. 100% |  45.4 MiB/s | 650.4 KiB |  00m00s
[ 94/104] Installing python3-scipy-0:1. 100% | 171.2 MiB/s |  69.2 MiB |  00m00s
[ 95/104] Installing python3-cairo-0:1. 100% | 161.6 MiB/s | 496.4 KiB |  00m00s
[ 96/104] Installing python3-olefile-0: 100% |  56.9 MiB/s | 349.8 KiB |  00m00s
[ 97/104] Installing python3-pillow-0:1 100% | 134.5 MiB/s |   4.3 MiB |  00m00s
[ 98/104] Installing python3-matplotlib 100% | 168.4 MiB/s |   7.9 MiB |  00m00s
[ 99/104] Installing libqhull_r-1:8.0.2 100% |  94.6 MiB/s | 484.1 KiB |  00m00s
[100/104] Installing python3-matplotlib 100% | 197.9 MiB/s |  31.9 MiB |  00m00s
[101/104] Installing python3-boutdata-0 100% |  48.3 MiB/s |   1.2 MiB |  00m00s
[102/104] Installing python3-sphinx-aut 100% |  13.1 MiB/s | 133.9 KiB |  00m00s
[103/104] Installing python3-pytest-0:8 100% | 161.4 MiB/s |  21.8 MiB |  00m00s
[104/104] Installing python3-devel-0:3. 100% |   8.7 MiB/s |   2.0 MiB |  00m00s
Complete!
Finish: build setup for python-xbout-0.3.6-6.fc44.src.rpm
Start: rpmbuild python-xbout-0.3.6-6.fc44.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.pXh2KH
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.HpzHMN
+ 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.oLSIml
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=44
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement not satisfied: setuptools >= 65
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement not satisfied: setuptools_scm[toml] >= 7
Handling wheel >= 0.29.0 from build-system.requires
Requirement not satisfied: wheel >= 0.29.0
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc44.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% |  71.4 KiB/s |   2.1 KiB |  00m00s
 fedora                                 100% | 477.7 KiB/s |  29.1 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.4-1.fc44.noarch" is already installed.Package                      Arch   Version          Repository      Size
Installing:
 python3-pip                 noarch 25.2-2.fc44      fedora      11.3 MiB
 python3-setuptools          noarch 78.1.1-13.fc44   fedora       9.0 MiB
 python3-setuptools_scm      noarch 8.3.1-7.fc44     fedora     354.5 KiB
 python3-setuptools_scm+toml noarch 8.3.1-7.fc44     fedora       9.8 KiB
 python3-wheel               noarch 1:0.45.1-17.fc44 fedora     593.1 KiB

Transaction Summary:
 Installing:         5 packages


Package "python3-boutdata-0.3.0-5.fc44.noarch" is already installed.
Package "python3-devel-3.14.0~rc2-1.fc44.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-4.fc44.noarch" is already installed.
Package "python3-packaging-25.0-5.fc44.noarch" is already installed.
Package "python3-pytest-8.3.5-8.fc44.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-10.fc44.noarch" is already installed.

Total size of inbound packages is 5 MiB. Need to download 5 MiB.
After this operation, 21 MiB extra will be used (install 21 MiB, remove 0 B).
[1/5] python3-setuptools_scm-0:8.3.1-7. 100% | 284.0 KiB/s | 121.5 KiB |  00m00s
[2/5] python3-setuptools_scm+toml-0:8.3 100% | 105.7 KiB/s |   9.7 KiB |  00m00s
[3/5] python3-wheel-1:0.45.1-17.fc44.no 100% |   1.1 MiB/s | 182.1 KiB |  00m00s
[4/5] python3-setuptools-0:78.1.1-13.fc 100% |   2.8 MiB/s |   2.1 MiB |  00m01s
[5/5] python3-pip-0:25.2-2.fc44.noarch  100% |   3.4 MiB/s |   2.6 MiB |  00m01s
--------------------------------------------------------------------------------
[5/5] Total                             100% |   6.4 MiB/s |   5.0 MiB |  00m01s
Running transaction
[1/7] Verify package files              100% | 277.0   B/s |   5.0   B |  00m00s
[2/7] Prepare transaction               100% |  98.0   B/s |   5.0   B |  00m00s
[3/7] Installing python3-setuptools-0:7 100% |  86.2 MiB/s |   9.2 MiB |  00m00s
[4/7] Installing python3-setuptools_scm 100% |  52.2 MiB/s | 374.4 KiB |  00m00s
[5/7] Installing python3-setuptools_scm 100% | 121.1 KiB/s | 124.0   B |  00m00s
[6/7] Installing python3-wheel-1:0.45.1 100% |  24.9 MiB/s | 613.1 KiB |  00m00s
[7/7] Installing python3-pip-0:25.2-2.f 100% |  67.4 MiB/s |  11.5 MiB |  00m00s
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.YUFBqK
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=44
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (extras are currently not checked)
Handling wheel >= 0.29.0 from build-system.requires
Requirement satisfied: wheel >= 0.29.0
   (installed: wheel 0.45.1)
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

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

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: xarray>=0.18.0
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.3.0)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: dask[array]>=2.10.0
Handling gelidum>=0.5.3 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: gelidum>=0.5.3
Handling natsort>=5.5.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: natsort>=5.5.0
   (installed: natsort 8.4.0)
Handling matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1
   (installed: matplotlib 3.10.6)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: animatplot-ng>=0.4.2
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.3.0)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc44.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% |  71.4 KiB/s |   2.1 KiB |  00m00s
 fedora                                 100% | 502.4 KiB/s |  29.1 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.4-1.fc44.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc44.noarch" is already installed.
Package "python3-devel-3.14.0~rc2-1.fc44.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-4.fc44.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc44.noarch" is already installed.
Package "python3-natsort-8.4.0-7.fc44.noarch" is already installed.
Package "python3-netcdf4-1.7.2-8.fc44.x86_64" is already installed.
Package "python3-packaging-25.0-5.fc44.noarch" is already installed.
Package "python3-pillow-11.3.0-4.fc44.x86_64" is already installed.
Package "python3-pip-25.2-2.fc44.noarch" is already installed.
Package "python3-pytest-8.3.5-8.fc44.noarch" is already installed.
Package "python3-setuptools-78.1.1-13.fc44.noarch" is already installed.
Package "python3-setuptools_scm-8.3.1-7.fc44.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.3.1-7.fc44.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-10.fc44.noarch" is already installed.
Package "python3-wheel-1:0.45.1-17.fc44.noarch" is already installed.

Package              Arch   Version                Repository      Size
Installing:
 python3-animatplot  noarch 0.4.5-3.fc44           fedora     113.0 KiB
 python3-dask        noarch 2025.4.1-5.fc44        fedora      20.5 MiB
 python3-dask+array  noarch 2025.4.1-5.fc44        fedora       6.8 KiB
 python3-gelidum     noarch 0.7.0-9.fc44           fedora     123.7 KiB
 python3-xarray      noarch 2025.4.0-2.fc44        fedora      20.0 MiB
Installing dependencies:
 libyaml             x86_64 0.2.5-17.fc43          fedora     134.6 KiB
 python3-click       noarch 1:8.1.7-10.fc44        fedora       1.2 MiB
 python3-cloudpickle noarch 3.1.1-6.fc44           fedora     129.3 KiB
 python3-fsspec      noarch 2025.9.0-1.fc44        fedora       1.9 MiB
 python3-locket      noarch 1.0.0-17.fc44          fedora      20.9 KiB
 python3-pandas      x86_64 2.2.3-5.fc43~bootstrap fedora      43.5 MiB
 python3-partd       noarch 1.4.2-7.fc44           fedora     166.8 KiB
 python3-pytz        noarch 2025.2-4.fc44          fedora     224.0 KiB
 python3-pyyaml      x86_64 6.0.2-6.fc44           fedora     793.4 KiB
 python3-toolz       noarch 1.0.0-5.fc44           fedora     618.0 KiB

Transaction Summary:
 Installing:        15 packages

Total size of inbound packages is 17 MiB. Need to download 17 MiB.
After this operation, 89 MiB extra will be used (install 89 MiB, remove 0 B).
[ 1/15] python3-dask+array-0:2025.4.1-5 100% | 135.5 KiB/s |  12.3 KiB |  00m00s
[ 2/15] python3-gelidum-0:0.7.0-9.fc44. 100% | 432.9 KiB/s |  57.1 KiB |  00m00s
[ 3/15] python3-animatplot-0:0.4.5-3.fc 100% |   1.7 MiB/s |  56.2 KiB |  00m00s
[ 4/15] python3-click-1:8.1.7-10.fc44.n 100% |   3.7 MiB/s | 254.4 KiB |  00m00s
[ 5/15] python3-dask-0:2025.4.1-5.fc44. 100% |  15.3 MiB/s |   3.7 MiB |  00m00s
[ 6/15] python3-cloudpickle-0:3.1.1-6.f 100% |   2.0 MiB/s |  48.1 KiB |  00m00s
[ 7/15] python3-fsspec-0:2025.9.0-1.fc4 100% |  17.5 MiB/s | 464.7 KiB |  00m00s
[ 8/15] python3-xarray-0:2025.4.0-2.fc4 100% |  17.1 MiB/s |   3.1 MiB |  00m00s
[ 9/15] python3-partd-0:1.4.2-7.fc44.no 100% |   2.6 MiB/s |  63.1 KiB |  00m00s
[10/15] python3-pyyaml-0:6.0.2-6.fc44.x 100% |  10.5 MiB/s | 236.3 KiB |  00m00s
[11/15] python3-toolz-0:1.0.0-5.fc44.no 100% |   7.7 MiB/s | 174.0 KiB |  00m00s
[12/15] python3-locket-0:1.0.0-17.fc44. 100% | 902.4 KiB/s |  18.0 KiB |  00m00s
[13/15] libyaml-0:0.2.5-17.fc43.x86_64  100% |   2.8 MiB/s |  60.1 KiB |  00m00s
[14/15] python3-pytz-0:2025.2-4.fc44.no 100% |   3.2 MiB/s |  66.1 KiB |  00m00s
[15/15] python3-pandas-0:2.2.3-5.fc43~b 100% |  53.0 MiB/s |   8.3 MiB |  00m00s
--------------------------------------------------------------------------------
[15/15] Total                           100% |  37.4 MiB/s |  16.5 MiB |  00m00s
Running transaction
[ 1/17] Verify package files            100% | 241.0   B/s |  15.0   B |  00m00s
[ 2/17] Prepare transaction             100% | 189.0   B/s |  15.0   B |  00m00s
[ 3/17] Installing python3-toolz-0:1.0. 100% |  77.8 MiB/s | 637.6 KiB |  00m00s
[ 4/17] Installing python3-pytz-0:2025. 100% |  37.3 MiB/s | 229.4 KiB |  00m00s
[ 5/17] Installing python3-pandas-0:2.2 100% | 175.8 MiB/s |  43.8 MiB |  00m00s
[ 6/17] Installing libyaml-0:0.2.5-17.f 100% |  66.4 MiB/s | 136.0 KiB |  00m00s
[ 7/17] Installing python3-pyyaml-0:6.0 100% |  37.5 MiB/s | 807.4 KiB |  00m00s
[ 8/17] Installing python3-locket-0:1.0 100% |  11.4 MiB/s |  23.4 KiB |  00m00s
[ 9/17] Installing python3-partd-0:1.4. 100% |  43.0 MiB/s | 176.2 KiB |  00m00s
[10/17] Installing python3-fsspec-0:202 100% | 113.5 MiB/s |   1.9 MiB |  00m00s
[11/17] Installing python3-cloudpickle- 100% |  65.0 MiB/s | 133.2 KiB |  00m00s
[12/17] Installing python3-click-1:8.1. 100% | 106.4 MiB/s |   1.2 MiB |  00m00s
[13/17] Installing python3-dask-0:2025. 100% | 137.0 MiB/s |  20.7 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% | 185.9 MiB/s |  20.1 MiB |  00m00s
[16/17] Installing python3-animatplot-0 100% |  30.4 MiB/s | 124.5 KiB |  00m00s
[17/17] Installing python3-gelidum-0:0. 100% |   3.0 MiB/s | 135.6 KiB |  00m00s
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.Fj4dgS
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=44
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (extras are currently not checked)
Handling wheel >= 0.29.0 from build-system.requires
Requirement satisfied: wheel >= 0.29.0
   (installed: wheel 0.45.1)
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

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

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: xarray>=0.18.0
   (installed: xarray 2025.4.0)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.3.0)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: dask[array]>=2.10.0
   (installed: dask 2025.4.1)
   (extras are currently not checked)
Handling gelidum>=0.5.3 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: gelidum>=0.5.3
   (installed: gelidum 0.7.0)
Handling natsort>=5.5.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: natsort>=5.5.0
   (installed: natsort 8.4.0)
Handling matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1
   (installed: matplotlib 3.10.6)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.5)
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.3.0)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc44.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% |  69.1 KiB/s |   2.1 KiB |  00m00s
 fedora                                 100% | 441.5 KiB/s |  29.1 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.4-1.fc44.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc44.noarch" is already installed.
Package "python3-devel-3.14.0~rc2-1.fc44.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-4.fc44.noarch" is already installed.
Package "python3-animatplot-0.4.5-3.fc44.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc44.noarch" is already installed.
Package "python3-dask-2025.4.1-5.fc44.noarch" is already installed.
Package "python3-dask+array-2025.4.1-5.fc44.noarch" is already installed.
Package "python3-gelidum-0.7.0-9.fc44.noarch" is already installed.
Package "python3-natsort-8.4.0-7.fc44.noarch" is already installed.
Package "python3-netcdf4-1.7.2-8.fc44.x86_64" is already installed.
Package "python3-packaging-25.0-5.fc44.noarch" is already installed.
Package "python3-pillow-11.3.0-4.fc44.x86_64" is already installed.
Package "python3-pip-25.2-2.fc44.noarch" is already installed.
Package "python3-pytest-8.3.5-8.fc44.noarch" is already installed.
Package "python3-setuptools-78.1.1-13.fc44.noarch" is already installed.
Package "python3-setuptools_scm-8.3.1-7.fc44.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.3.1-7.fc44.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-10.fc44.noarch" is already installed.
Package "python3-wheel-1:0.45.1-17.fc44.noarch" is already installed.
Package "python3-xarray-2025.4.0-2.fc44.noarch" is already installed.

Nothing to do.
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.4Ocb7Y
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=44
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (extras are currently not checked)
Handling wheel >= 0.29.0 from build-system.requires
Requirement satisfied: wheel >= 0.29.0
   (installed: wheel 0.45.1)
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

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

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

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

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

        License :: OSI Approved :: Apache Software License

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

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

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: xarray>=0.18.0
   (installed: xarray 2025.4.0)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.3.0)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: dask[array]>=2.10.0
   (installed: dask 2025.4.1)
   (extras are currently not checked)
Handling gelidum>=0.5.3 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: gelidum>=0.5.3
   (installed: gelidum 0.7.0)
Handling natsort>=5.5.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: natsort>=5.5.0
   (installed: natsort 8.4.0)
Handling matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1
   (installed: matplotlib 3.10.6)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.5)
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.3.0)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.cGZxEC
+ 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/.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/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir
Processing /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  /usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

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

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

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

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

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

          License :: OSI Approved :: Apache Software License

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

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

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

          License :: OSI Approved :: Apache Software License

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

  !!
    self._finalize_license_expression()
  running dist_info
  creating /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-modern-metadata-wz91vk7k/xbout.egg-info
  writing /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-modern-metadata-wz91vk7k/xbout.egg-info/PKG-INFO
  writing dependency_links to /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-modern-metadata-wz91vk7k/xbout.egg-info/dependency_links.txt
  writing requirements to /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-modern-metadata-wz91vk7k/xbout.egg-info/requires.txt
  writing top-level names to /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-modern-metadata-wz91vk7k/xbout.egg-info/top_level.txt
  writing manifest file '/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-modern-metadata-wz91vk7k/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/.pyproject-builddir/pip-modern-metadata-wz91vk7k/xbout.egg-info/SOURCES.txt'
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-modern-metadata-wz91vk7k/xbout-0.3.6.dist-info'
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: xbout
  Building wheel for xbout (pyproject.toml): started
  Running command Building wheel for xbout (pyproject.toml)
  /usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

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

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

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

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

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

          License :: OSI Approved :: Apache Software License

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

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

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

          License :: OSI Approved :: Apache Software License

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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

  !!
    check.warn(importable)
  creating build/lib/xbout/tests
  copying xbout/tests/__init__.py -> build/lib/xbout/tests
  copying xbout/tests/conftest.py -> build/lib/xbout/tests
  copying xbout/tests/test_against_collect.py -> build/lib/xbout/tests
  copying xbout/tests/test_animate.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataarray.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataset.py -> build/lib/xbout/tests
  copying xbout/tests/test_fastoutput.py -> build/lib/xbout/tests
  copying xbout/tests/test_geometries.py -> build/lib/xbout/tests
  copying xbout/tests/test_grid.py -> build/lib/xbout/tests
  copying xbout/tests/test_init.py -> build/lib/xbout/tests
  copying xbout/tests/test_load.py -> build/lib/xbout/tests
  copying xbout/tests/test_plot.py -> build/lib/xbout/tests
  copying xbout/tests/test_region.py -> build/lib/xbout/tests
  copying xbout/tests/test_utils.py -> build/lib/xbout/tests
  copying xbout/tests/utils_for_tests.py -> build/lib/xbout/tests
  creating build/lib/xbout/tests/data/options
  copying xbout/tests/data/options/BOUT.inp -> build/lib/xbout/tests/data/options
  creating build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.0.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.1.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/README.md -> build/lib/xbout/tests/data/restart
  creating build/lib/xbout/tests/inputs
  copying xbout/tests/inputs/s-alpha.inp -> build/lib/xbout/tests/inputs
  creating build/lib/xbout/calc/tests
  copying xbout/calc/tests/test_turbulence.py -> build/lib/xbout/calc/tests
  installing to build/bdist.linux-x86_64/wheel
  running install
  running install_lib
  creating build/bdist.linux-x86_64/wheel
  creating build/bdist.linux-x86_64/wheel/xbout
  creating build/bdist.linux-x86_64/wheel/xbout/tests
  creating build/bdist.linux-x86_64/wheel/xbout/tests/inputs
  copying build/lib/xbout/tests/inputs/s-alpha.inp -> build/bdist.linux-x86_64/wheel/./xbout/tests/inputs
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/README.md -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/BOUT.restart.1.nc -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/BOUT.restart.0.nc -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data/options
  copying build/lib/xbout/tests/data/options/BOUT.inp -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/options
  copying build/lib/xbout/tests/utils_for_tests.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_utils.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_region.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_plot.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_load.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_init.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_grid.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_geometries.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_fastoutput.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_boutdataset.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_boutdataarray.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_animate.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_against_collect.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/conftest.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  creating build/bdist.linux-x86_64/wheel/xbout/plotting
  copying build/lib/xbout/plotting/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/animate.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/plotfuncs.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/utils.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  creating build/bdist.linux-x86_64/wheel/xbout/calc
  creating build/bdist.linux-x86_64/wheel/xbout/calc/tests
  copying build/lib/xbout/calc/tests/test_turbulence.py -> build/bdist.linux-x86_64/wheel/./xbout/calc/tests
  copying build/lib/xbout/calc/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/calc
  copying build/lib/xbout/calc/turbulence.py -> build/bdist.linux-x86_64/wheel/./xbout/calc
  copying build/lib/xbout/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/_version.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/boutdataarray.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/boutdataset.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/conftest.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/fastoutput.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/geometries.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/load.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/region.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/utils.py -> build/bdist.linux-x86_64/wheel/./xbout
  running install_egg_info
  Copying xbout.egg-info to build/bdist.linux-x86_64/wheel/./xbout-0.3.6-py3.14.egg-info
  running install_scripts
  creating build/bdist.linux-x86_64/wheel/xbout-0.3.6.dist-info/WHEEL
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir/pip-wheel-s392qine/.tmp-idwepc22/xbout-0.3.6-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
  adding 'xbout/__init__.py'
  adding 'xbout/_version.py'
  adding 'xbout/boutdataarray.py'
  adding 'xbout/boutdataset.py'
  adding 'xbout/conftest.py'
  adding 'xbout/fastoutput.py'
  adding 'xbout/geometries.py'
  adding 'xbout/load.py'
  adding 'xbout/region.py'
  adding 'xbout/utils.py'
  adding 'xbout/calc/__init__.py'
  adding 'xbout/calc/turbulence.py'
  adding 'xbout/calc/tests/test_turbulence.py'
  adding 'xbout/plotting/__init__.py'
  adding 'xbout/plotting/animate.py'
  adding 'xbout/plotting/plotfuncs.py'
  adding 'xbout/plotting/utils.py'
  adding 'xbout/tests/__init__.py'
  adding 'xbout/tests/conftest.py'
  adding 'xbout/tests/test_against_collect.py'
  adding 'xbout/tests/test_animate.py'
  adding 'xbout/tests/test_boutdataarray.py'
  adding 'xbout/tests/test_boutdataset.py'
  adding 'xbout/tests/test_fastoutput.py'
  adding 'xbout/tests/test_geometries.py'
  adding 'xbout/tests/test_grid.py'
  adding 'xbout/tests/test_init.py'
  adding 'xbout/tests/test_load.py'
  adding 'xbout/tests/test_plot.py'
  adding 'xbout/tests/test_region.py'
  adding 'xbout/tests/test_utils.py'
  adding 'xbout/tests/utils_for_tests.py'
  adding 'xbout/tests/data/options/BOUT.inp'
  adding 'xbout/tests/data/restart/BOUT.restart.0.nc'
  adding 'xbout/tests/data/restart/BOUT.restart.1.nc'
  adding 'xbout/tests/data/restart/README.md'
  adding 'xbout/tests/inputs/s-alpha.inp'
  adding 'xbout-0.3.6.dist-info/licenses/LICENSE'
  adding 'xbout-0.3.6.dist-info/METADATA'
  adding 'xbout-0.3.6.dist-info/WHEEL'
  adding 'xbout-0.3.6.dist-info/top_level.txt'
  adding 'xbout-0.3.6.dist-info/RECORD'
  removing build/bdist.linux-x86_64/wheel
  Building wheel for xbout (pyproject.toml): finished with status 'done'
  Created wheel for xbout: filename=xbout-0.3.6-py3-none-any.whl size=140106 sha256=575abd49520344d3a4fb9bcb9d2eee9b5fd17be61f895b0028993f92e53f1c71
  Stored in directory: /builddir/.cache/pip/wheels/08/3c/3b/a041473b714187cd781301a93e81a37e416c8f0a7d803d2588
Successfully built xbout
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
+ sphinx-build-3 docs html
Running Sphinx v8.2.3
loading translations [en]... done
making output directory... done
Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`.
[autosummary] generating autosummary for: accessor_methods.rst, api.rst, extending_xbout.rst, index.rst, loading_data.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.utils.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.BoutDataArrayAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.BoutDatasetAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_addoption.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_collection_modifyitems.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_configure.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.open_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.UnregisteredGeometryError.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_fci_geometry_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_s_alpha_geometry_coords.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_grid.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_init.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rms.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_line.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_pcolormesh.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_poloidal.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot2d_wrapper.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot3d.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot_regions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrices.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrix.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_targets.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_check_extensions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_set_fci_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.TestPlot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.TestRegion.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.TestUtils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds_list.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_grid_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.load_example_input.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.set_geometry_from_input_file.rst
loading intersphinx inventory 'python' from https://docs.python.org/3/objects.inv ...
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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 0x7fe1a5e874d0>: Failed to resolve 'numpy.org' ([Errno -3] Temporary failure in name resolution)"))
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building [mo]: targets for 0 po files that are out of date
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reading sources... [  8%] generated/xbout.boutdataset.BoutDatasetAccessor
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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
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writing output... [ 86%] generated/xbout.tests.test_load.test_set_fci_coords
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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
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writing output... [ 99%] index
writing output... [100%] loading_data

/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.Dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.DataArray [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:3: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:14: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:16: WARNING: 'any' reference target not found: scipy.interpolate.RegularGridInterpolator [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.integrate_midpoints:36: WARNING: 'any' reference target not found: ... [ref.any]
generating indices... /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
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highlighting module code... [  8%] xbout.boutdataset
highlighting module code... [ 12%] xbout.calc.turbulence
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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.IiX4K4
+ 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
++ xargs basename --multiple
++ ls /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir/xbout-0.3.6-py3-none-any.whl
++ 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/.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/pyproject-wheeldir xbout==0.3.6
Using pip 25.2 from /usr/lib/python3.14/site-packages/pip (python 3.14)
Looking in links: /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir
Processing /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir/xbout-0.3.6-py3-none-any.whl
Installing collected packages: xbout
Successfully installed xbout-0.3.6
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages ']'
+ site_dirs+=("/usr/lib/python3.14/site-packages")
+ '[' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.14/site-packages '!=' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.14/site-packages ']'
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --record /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/RECORD --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/RECORD
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-ghost-distinfo
++ cut -f1 '-d '
+ lines=1
+ '[' 1 -ne 1 ']'
+ RPM_FILES_ESCAPE=4.19
+ /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --sitelib /usr/lib/python3.14/site-packages --sitearch /usr/lib64/python3.14/site-packages --python-version 3.14 --pyproject-record /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc44.x86_64-pyproject-record --prefix /usr xbout
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/brp-strip /usr/bin/strip
+ /usr/lib/rpm/brp-strip-comment-note /usr/bin/strip /usr/bin/objdump
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/check-rpaths
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
Bytecompiling .py files below /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14 using python3.14
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/utils.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/region.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/load.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/boutdataset.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/geometries.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/load.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/geometries.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/fastoutput.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/conftest.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/_version.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/utils_for_tests.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_utils.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_utils.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/boutdataarray.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_region.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_plot.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_load.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_load.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_init.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_init.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_grid.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_geometries.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_geometries.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_animate.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/conftest.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/utils.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_animate.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/plotfuncs.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/calc/__pycache__/turbulence.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/calc/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/calc/tests/__pycache__/test_turbulence.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/animate.cpython-314.opt-1.pyc: rewriting with normalized contents
Scanned 21 directories and 106 files,
               processed 43 inodes,
               43 modified (22 replaced + 21 rewritten),
               0 unsupported format, 0 errors
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.7WhYXm
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd xbout-0.3.6
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ PATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.14/site-packages:/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages
+ PYTHONDONTWRITEBYTECODE=1
+ PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir'
+ PYTEST_XDIST_AUTO_NUM_WORKERS=2
+ /usr/bin/pytest xbout --long --durations=0
============================= test session starts ==============================
platform linux -- Python 3.14.0rc2, pytest-8.3.5, pluggy-1.6.0
rootdir: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
configfile: pyproject.toml
collected 796 items

xbout/calc/tests/test_turbulence.py .....                                [  0%]
xbout/tests/test_against_collect.py FFFFF...                             [  1%]
xbout/tests/test_animate.py EEEEEEEEEEEEEEEEEEEEEEEsEEEEEEEEEEEEEEE      [  6%]
xbout/tests/test_boutdataarray.py FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 11%]
FFFFFFFFFFFFFFFFFF                                                       [ 13%]
xbout/tests/test_boutdataset.py FFFFFFFFFFFFFFFFFFFFFF.FFFFFFFFFFFFFFFFF [ 18%]
FFFFFFFFFFFFFFFFFFFFFFFFFFssFFFFFFFFFFFFFFFFFF.                          [ 24%]
xbout/tests/test_fastoutput.py .                                         [ 24%]
xbout/tests/test_geometries.py ..                                        [ 24%]
xbout/tests/test_grid.py .....                                           [ 25%]
xbout/tests/test_init.py .                                               [ 25%]
xbout/tests/test_load.py ..........................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 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390126bb80>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390352cd00>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901513c40>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901ad31c0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e3e440>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901dab160>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902a56f80>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390127a860>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39015f8460>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901bd7100>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901dab820>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901d50040>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901d8e740>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390140be80>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390138fac0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901c26860>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e37a60>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f368c0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a26da0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390127a080>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901bd4460>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a802e0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390121c040>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902a1f760>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901cc7fa0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390168b880>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e31360>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390138fe80>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901d124a0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901409780>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a927a0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f6d3c0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901670be0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e241c0>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902162260>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902eb1720>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901ba6b60>
dims = ()

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

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

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39013b6ec0>
dims = ()

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

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

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f3903758190>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39030fa200>
dims = ()

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

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

nxpe = 1, nype = 1, npes = 1

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


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_x ___________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f3903758b90>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902e22920>
dims = ()

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

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

nxpe = 3, nype = 1, npes = 3

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

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

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


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_y ___________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f39039022c0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901267a60>
dims = ()

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

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

nxpe = 1, nype = 3, npes = 3

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

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

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


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_xy __________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f3903902190>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901671060>
dims = ()

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

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

nxpe = 3, nype = 3, npes = 9

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

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

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

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

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

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

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

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

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


_________________ TestAccuracyAgainstOldCollect.test_metadata __________________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f39038fe8d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390168d360>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903759590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39032afdc0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903759810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 0, myg = 0, remove_extra_upper = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901afb520>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903903230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 2, myg = 0, remove_extra_upper = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021cb580>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903903360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 0, myg = 2, remove_extra_upper = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901d57520>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39038ff0b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 2, myg = 2, remove_extra_upper = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902a1dea0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903703020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 0, myg = 0, remove_extra_upper = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e260e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903702690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 2, myg = 0, remove_extra_upper = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39012468c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39033afc50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 0, myg = 2, remove_extra_upper = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f9bdc0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39033afe50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 2, myg = 2, remove_extra_upper = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390149b580>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39033b1040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 6, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e97340>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39033b0f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 7, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901eab640>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39033951d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 8, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390166de40>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903394e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 9, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39016b74c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903719cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 6, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901c741c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39038eaf90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 7, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901469d20>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39038eaed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 8, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021d4220>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39037760a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 9, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021edcc0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903774cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021cada0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903736850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902141ea0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f3903736a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 6, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902145ae0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f390371e210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 7, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901b60b80>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39034993d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 8, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901afb580>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f390349bb50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 9, permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901268d00>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39037d1710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 6, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3903285240>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39037d17f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 7, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902e6a4a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39034ed790>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 8, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390317e9e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39034ed010>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 9, permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902a1eb00>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a97c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_XLOW', permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39016279a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_YLOW', permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901609660>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_ZLOW', permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901ea80a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a98b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_XLOW', permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e956c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_YLOW', permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901b92560>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_ZLOW', permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39014f1c00>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a99a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_XLOW', permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901afa800>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a99f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_YLOW', permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902a33e80>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_ZLOW', permute_dims = False

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f3c2e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_XLOW', permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902fa6920>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_YLOW', permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f20fa0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_ZLOW', permute_dims = True

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901b73760>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021ca2c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
res_factor = 2

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021ef340>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
res_factor = 3

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901be68c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
res_factor = 7

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390146a680>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
res_factor = 18

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901abe1a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39016b5780>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39019252a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902162e00>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e272e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901b44b80>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9ea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901c85ea0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902141f60>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901b60b20>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f3f8e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035a9fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902a30340>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035aa030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390179ec20>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f39035aa080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901d545e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset object at 0x7f390375b9d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f731c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset object at 0x7f390375bed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901e26bc0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903408050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902eb3e20>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903408190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 0, myg = 0

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39030f86a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39039035c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 2, myg = 0

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901be0940>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903449220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 0, myg = 2

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390135f580>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903155eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
mxg = 2, myg = 2

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

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

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3903257580>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903702f10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 6

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901acb7c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[7] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39034a4af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 7

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a32c20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[8] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39037b6650>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 8

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a5b640>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[9] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39037b6850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 9

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39014f11e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_to_field_aligned_dask _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39033b3b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_to_field_aligned_dask(self, bout_xyt_example_files):
        nz = 6
    
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:269: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39014dd660>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[6] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39033b3e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 6

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a6e860>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[7] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39034365f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 7

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f37d60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[8] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39034367b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 8

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390168cca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[9] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390357a5b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
nz = 9

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901bd7820>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_XLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903480d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_XLOW'

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

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902fbe6e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_YLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903480650>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_YLOW'

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

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39031add20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_ZLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39037766d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_ZLOW'

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

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901d52320>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_XLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903777ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_XLOW'

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

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a32aa0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_YLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390340ca50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_YLOW'

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

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390324cbe0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_ZLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390340caf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
stag_location = 'CELL_ZLOW'

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

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a9ca60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39033874d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39012a4460>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903386950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901baefe0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39033e1010>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39019b9420>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39033e1ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39017ea260>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903416ab0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021a5840>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903416b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901ae1960>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390349fcf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901f40ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390349fde0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901f18520>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390349fe80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901fa63e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390349ff20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b9d300>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f390349ffc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39020ca080>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39031700a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39020d6980>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902044160>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39031701e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021a2b60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390324df60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f84ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902a84e20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39031703c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902acdfc0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902204ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390222c5e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b9da80>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39031705f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b8d540>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39021a6e00>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902116680>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39031707d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39020b03a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902031f00>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901ff0ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f39031709b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902bc0820>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902205fc0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390160b7c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f80400>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f043a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_interpolate_parallel_all_variables_arg(self, bout_xyt_example_files):
        # Check that passing 'variables=...' to interpolate_parallel() does actually
        # interpolate all the variables
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1108: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390157a320>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestBoutDatasetMethods.test_interpolate_parallel_limiter ___________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_interpolate_parallel_limiter(
        self,
        bout_xyt_example_files,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards={"x": 2, "y": 2},
            grid="grid",
            topology="limiter",
        )
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=True,
            keep_yboundaries=False,
        )

xbout/tests/test_boutdataset.py:1163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902baec80>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_integrate_midpoints_slab(self, bout_xyt_example_files):
        # Create data
        dataset_list = bout_xyt_example_files(
            None, lengths=(4, 100, 110, 120), nxpe=1, nype=1, nt=1, syn_data_type=1
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1193: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b875e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_CENTRE] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
location = 'CELL_CENTRE'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902ba9a80>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_XLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
location = 'CELL_XLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39019fa740>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_YLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
location = 'CELL_YLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902aff4c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_ZLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
location = 'CELL_ZLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b0d180>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDatasetMethods.test_interpolate_from_unstructured ___________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_interpolate_from_unstructured(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            grid="grid",
            topology="upper-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1733: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a5bee0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_from_unstructured_unstructured_output _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_interpolate_from_unstructured_unstructured_output(
        self, bout_xyt_example_files
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1784: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902bee920>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

xbout/tests/test_boutdataset.py:1842: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902169300>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f3903170fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

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

xbout/tests/test_boutdataset.py:1883: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902153b80>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________________ TestSave.test_save_all ____________________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f3903408550>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_save_all(self, tmp_path_factory, bout_xyt_example_files):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:1953: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902bdd300>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestSave.test_reload_all[None] ________________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f3903408690>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_all(self, tmp_path_factory, bout_xyt_example_files, geometry):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, grid="grid", write_to_disk=True
        )
    
        gridpath = path.parent.joinpath("grid.nc")
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=None if geometry is None else gridpath,
                )

xbout/tests/test_boutdataset.py:1978: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902ba8ac0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestSave.test_reload_all[toroidal] ______________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f3903448d60>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_all(self, tmp_path_factory, bout_xyt_example_files, geometry):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, grid="grid", write_to_disk=True
        )
    
        gridpath = path.parent.joinpath("grid.nc")
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=None if geometry is None else gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=None if geometry is None else gridpath,
            )

xbout/tests/test_boutdataset.py:1985: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902162080>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________________ TestSave.test_save_dtype[False-float64] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f3903449350>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
save_dtype = <class 'numpy.float64'>, separate_vars = False

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f80e20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________________ TestSave.test_save_dtype[False-float32] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f3903156570>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
save_dtype = <class 'numpy.float32'>, separate_vars = False

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902169ba0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_dtype[True-float64] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f39034a4f30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
save_dtype = <class 'numpy.float64'>, separate_vars = True

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390217c040>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_dtype[True-float32] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f39034a5040>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
save_dtype = <class 'numpy.float32'>, separate_vars = True

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b52980>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_separate_variables _____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f39033f2c50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_save_separate_variables(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2063: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902e70be0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestSave.test_reload_separate_variables[None] _________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f39033f2e50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )

xbout/tests/test_boutdataset.py:2104: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39014f3100>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestSave.test_reload_separate_variables[toroidal] _______________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f39033b36b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=gridpath,
            )

xbout/tests/test_boutdataset.py:2111: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390212d6c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestSave.test_reload_separate_variables_time_split[None] ___________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f39033b06e0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables_time_split(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )

xbout/tests/test_boutdataset.py:2151: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b01900>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________ TestSave.test_reload_separate_variables_time_split[toroidal] _________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f39033e6270>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables_time_split(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=gridpath,
            )

xbout/tests/test_boutdataset.py:2158: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901f1ab60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________________ TestSaveRestart.test_to_restart[None] _____________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f3903408910>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
tind = None

    @pytest.mark.parametrize("tind", [None, pytest.param(1, marks=pytest.mark.long)])
    def test_to_restart(self, tmp_path_factory, bout_xyt_example_files, tind):
        nxpe = 3
        nype = 2
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe,
            nype=nype,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2205: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902c8fbe0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestSaveRestart.test_to_restart[1] ______________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f3903408a50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
tind = 1

    @pytest.mark.parametrize("tind", [None, pytest.param(1, marks=pytest.mark.long)])
    def test_to_restart(self, tmp_path_factory, bout_xyt_example_files, tind):
        nxpe = 3
        nype = 2
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe,
            nype=nype,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2205: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902026740>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________________ TestSaveRestart.test_to_restart_change_npe __________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f3903449480>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_to_restart_change_npe(self, tmp_path_factory, bout_xyt_example_files):
        nxpe_in = 3
        nype_in = 2
    
        nxpe = 2
        nype = 4
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2283: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902837dc0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestSaveRestart.test_to_restart_change_npe_doublenull _____________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f39034495b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    @pytest.mark.long
    def test_to_restart_change_npe_doublenull(
        self, tmp_path_factory, bout_xyt_example_files
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe = 1
        nype = 12
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(nt, 5, 4, 7),
            topology="upper-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2356: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a5aec0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestSaveRestart.test_to_restart_change_npe_doublenull_expect_fail[npes0] ___

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f3903156330>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
npes = (2, 6)

    @pytest.mark.long
    @pytest.mark.parametrize("npes", [(2, 6), (3, 4)])
    def test_to_restart_change_npe_doublenull_expect_fail(
        self, tmp_path_factory, bout_xyt_example_files, npes
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe, nype = npes
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(6, 5, 4, 7),
            topology="lower-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2427: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902024040>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestSaveRestart.test_to_restart_change_npe_doublenull_expect_fail[npes1] ___

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f39034a5260>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
npes = (3, 4)

    @pytest.mark.long
    @pytest.mark.parametrize("npes", [(2, 6), (3, 4)])
    def test_to_restart_change_npe_doublenull_expect_fail(
        self, tmp_path_factory, bout_xyt_example_files, npes
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe, nype = npes
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(6, 5, 4, 7),
            topology="lower-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2427: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902b0c820>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________________________ TestOpen.test_single_file ___________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f39036c34d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_single_file(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:280: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901baf1c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________________________ TestOpen.test_squashed_file __________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f39036c3250>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_squashed_file(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=3, nt=1, squashed=True, write_to_disk=True
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:306: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901ae37c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[False-False] ________________

self = <xbout.tests.test_load.TestOpen object at 0x7f390112b100>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39019f91e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[False-True] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f390112aea0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902835600>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[True-False] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f3903194a70>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902c8c9a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________________ TestOpen.test_squashed_doublenull[True-True] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f3903643ce0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901f78400>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_squashed_doublenull_file[False-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f39036439b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390200b1c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[False-True] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f390116e250>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902026a40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[True-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f390116e450>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f9bf40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[True-True] _______________

self = <xbout.tests.test_load.TestOpen object at 0x7f39011588c0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901d11420>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestOpen.test_combine_along_x _________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f390115be30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_combine_along_x(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=1,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:414: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901dcc4c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestOpen.test_combine_along_y _________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f390110c210>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_combine_along_y(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=1,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:450: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901a59780>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_combine_along_xy[lengths0-False-False] _____________

self = <xbout.tests.test_load.TestOpen object at 0x7f390312ed00>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
bout_v5 = False, metric_3D = False, lengths = (6, 2, 4, 7)

    @pytest.mark.parametrize(
        "bout_v5,metric_3D", [(False, False), (True, False), (True, True)]
    )
    @pytest.mark.parametrize("lengths", [(6, 2, 4, 7), (6, 2, 4, 1)])
    def test_combine_along_xy(
        self, tmp_path_factory, bout_xyt_example_files, bout_v5, metric_3D, lengths
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=3,
            nt=1,
            lengths=lengths,
            syn_data_type="stepped",
            write_to_disk=True,
            bout_v5=bout_v5,
            metric_3D=metric_3D,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:497: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901c38dc0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_combine_along_xy[lengths0-True-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f3903483a10>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
bout_v5 = True, metric_3D = False, lengths = (6, 2, 4, 7)

    @pytest.mark.parametrize(
        "bout_v5,metric_3D", [(False, False), (True, False), (True, True)]
    )
    @pytest.mark.parametrize("lengths", [(6, 2, 4, 7), (6, 2, 4, 1)])
    def test_combine_along_xy(
        self, tmp_path_factory, bout_xyt_example_files, bout_v5, metric_3D, lengths
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=3,
            nt=1,
            lengths=lengths,
            syn_data_type="stepped",
            write_to_disk=True,
            bout_v5=bout_v5,
            metric_3D=metric_3D,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:497: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902bacac0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________________ TestOpen.test_toroidal ____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f39036339d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_toroidal(self, tmp_path_factory, bout_xyt_example_files):
        # actually write these to disk to test the loading fully
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=3,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            grid="grid",
            write_to_disk=True,
        )
>       actual = open_boutdataset(
            datapath=path,
            geometry="toroidal",
            gridfilepath=path.parent.joinpath("grid.nc"),
        )

xbout/tests/test_load.py:555: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39027a1480>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________________________ TestOpen.test_salpha _____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f39012911c0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_salpha(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=3,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            grid="grid",
            write_to_disk=True,
        )
>       actual = open_boutdataset(
            datapath=path,
            geometry="s-alpha",
            gridfilepath=path.parent.joinpath("grid.nc"),
        )

xbout/tests/test_load.py:589: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39027de800>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying s-alpha geometry conventions
___________________________ TestOpen.test_drop_vars ____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f39013555d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f3922117490>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>

    def test_drop_vars(self, tmp_path_factory, bout_xyt_example_files):
        datapath = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=1,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=datapath, keep_xboundaries=False, drop_variables=["T"]
            )

xbout/tests/test_load.py:618: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902cbb520>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39036c2ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39027e6920>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39036c2710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902355ae0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f390112a9e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39025a81c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f390112a520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f911a1a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903194710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90f43a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011116a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9799de0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3901111480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9738ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903391150>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39027d2fe0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903391350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902c8aa40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39012c7c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9714400>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39012c6030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95fbb20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033897f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95ca0e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033898d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f969b0a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903165b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f936de40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3901fe9310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9378400>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3901fe9250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9725360>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903382ba0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390253dd20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903382d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39018d1720>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033594f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39023a6d40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903359590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39025d00a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033c3920>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97809a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3901462650>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9390520>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3901461250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902f86800>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033675b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96060e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903367690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39027dd060>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39018ee030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390267e680>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39018ed970>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96c0220>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b6b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9135de0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b6bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f932ef20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b6cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96803a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b6d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9618160>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92e3b80>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9146f20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b6e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9178ac0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b72a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39028d6080>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b72f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9652d40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93743a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902585f00>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b73e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f948cca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f961ab60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901f2f8e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b74d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9665480>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902210ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902c2dfc0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b75c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92c83a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9624e80>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f91a0ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b76b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390234fe80>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902553c40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902312b60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b77a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90b8100>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b77f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93d5420>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93e5f60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f944abc0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b78e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97674c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96ad3c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f972c0a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b79d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902cbb8e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f91a74c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97ac700>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93a6260>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f962cf40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8848a00>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97233a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97617e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902546140>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96220e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9497ac0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87f03a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87cd360>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f921cca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97af460>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95db880>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39027df1c0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9605b40>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7f70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9417d60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39011b7fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9767760>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8804220>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033500a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9324ca0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033500f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9486500>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3901f6e320>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9761a20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033501e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9114ee0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902c0a6e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94903a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033502d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94994e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f88960e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96412a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033503c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390289f280>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f932a4a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9716b00>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033504b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95d8be0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9369360>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390170a680>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033505a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96f66e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033505f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9483160>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9723e20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96c6380>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033506e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90f4ac0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902311660>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39018794e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033507d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f948e6e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9780220>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92f4be0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033508c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9799a20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f91214e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9706e60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033509b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9796da0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97af880>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9105c60>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9350760>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95e1a20>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f962f2e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f91952a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96821a0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9660820>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902d8ee00>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92d4580>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39024b9000>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93f7940>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93de3e0>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f914c880>
dims = ()

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

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902311600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90f4ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9455d80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902c08b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902755540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903350ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9483700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f949ae60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9492a40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033510e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f936b100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90cd3c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93a6da0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033511d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f931e6e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9659c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90e4dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033512c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390170b400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95cfd00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94ab7c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033513b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f944cd60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94832e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f3903351450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9142ce0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033514a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902c09240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f39033514f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39027e4880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39036c2490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9653c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39036c20d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f966efe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f390112a2c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f932ae60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f390112a3f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9334760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903194290>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f88056c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3901111040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39017098a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3901110e20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93a7640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033a6550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f880f2e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033a6750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9724160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39012e88c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9620700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39012e8b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f928c880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903341b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87cece0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903341d30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90de0e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3901d2aea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f946fe20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3901fe9190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92c9840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3901fe90d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95f71c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f390336e410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f949a680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f390336e4c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f88368c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903359c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f88826e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903359d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f91e6560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033c2f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f928bd60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39017c95d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f91d2500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39017cadd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87f0100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903309a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f881fd00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903309b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902593460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39011cf530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9190400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39011cf590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93cdd80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903351e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90e6fe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards0] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903351ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9196080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards1] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903351f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9327c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards2] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8805b40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards3] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033520d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92623e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39026295a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87d7340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033521c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f926dfc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8390b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83a33a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033522b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f832df60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83429e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93a74c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033523a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f936a560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033523f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8895fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9763100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8849240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033524e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87f6620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90de800>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8482620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033525d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f846fa60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83cbe20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9287f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033526c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94145e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f96265c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94987c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033527b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f882f580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82f0ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82bdf60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033528a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8436800>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033528f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f842f580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83c1840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87f3280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033529e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f947a080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390278e740>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f977e4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f97260e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9764340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8189ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f80ee2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f821ba00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352df0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f881ac80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352e90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8807e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9173220>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903352fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9416d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83dfa60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f830b1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033531b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f836fca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f845f4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033532f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81e0820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8236320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81746a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033534d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94ab340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards0] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f90ddea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards1] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83e72e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards2] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033535c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82931c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards3] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f15e7b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f16a3340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033536b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f15dad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f161b1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82997e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033537a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82ef940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033537f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f832e8c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95f6920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92de9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033538e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f842e440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1693e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f16aad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f39033539d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8423640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95cfa60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81bd840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f178c280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f143e7a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f142ac80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14a8580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86b01c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f886d900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902523d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f849d3c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f836d900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f820cd60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards0] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1643dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards1] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f861e440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards2] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86a6860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards3] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8674e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81df580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353f70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9104760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f3903353fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8268ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f13dc0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f148e020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f852cca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d01e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f84ec520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f84ce1a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82980a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d02d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f832d120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f849e2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f842f940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d03c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f882d120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1696200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8628e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d04b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1591420>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81d7dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86774c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d05a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14f6020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d05f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85682e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85aa260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86d8e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d06e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8768b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f13263e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85825c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d07d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f923df00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902522da0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f972e6e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d08c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f84531c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f88702e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f869f340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d09b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1342d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f134c3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85a85e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1429540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8439720>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1589300>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f135d540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f850e3e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86bd5a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9512d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1311420>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8451660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8494e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f842fdc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8437be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1591540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f820dba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1541300>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d0ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1306560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1396140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8201ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d10e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14631c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86e3280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f84c6140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d11d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85923e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f133ad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f131eec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d12c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9553280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f820ea40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f15938e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d13b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9170be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902523040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8495ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d14a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f866c0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d14f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f12fbe20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1559ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f952cca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d15e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14dc760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8785b40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81bd060>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d16d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f390278d660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14e6b00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86b8520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d17c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f12f5f00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85a4ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f16ab460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d18b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f134f340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f869d480>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f84946a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d19a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f3902522da0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d19f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86e35e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f861a260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1543520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8774ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94c83a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f84c1540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1347e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86b1c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8769900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f13a6260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14de1a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f13a8ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94d04c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f127df00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f829b3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1ea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1691cc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f830aec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9626ec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83cb340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d1fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f92dc400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86a2320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f16402e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d20d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f131ef80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87b0160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f13f7640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d21c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86d3580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8232c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9512e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d22b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f16a8400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94dc460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8755ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d23a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8620d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d23f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f134a680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f16a54e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1618100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d24e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8818a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1571f60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f155c1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d25d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f15feda0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1232b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1583820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d26c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81e2620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f843a380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81f6f20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d27b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81bf0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14de860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f12d0b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d28a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1335ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d28f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82f6b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94c9f00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f155f460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d29e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1572d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39024ba9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f933b580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f83acd00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82a6020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f953ea40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1262e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86e1ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86dbca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1477160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95ce5c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f12f4760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2da0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f933e920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2df0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1592320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f124c160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2e90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f0ce3520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8621960>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95f42e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f87bb160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d2fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f39024bb700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f861a140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f963fb80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d30c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94ca080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1641600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95a2200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d31b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8755780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86972e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f856db40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d32a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81f6bc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d32f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f81bd960>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86f5660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1352d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d33e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8763d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f0cd1de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f11bae00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d34d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f136bc40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8391780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f14c7a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d35c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85d9d20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f836cf40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8437940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d36b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82a7760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f0cecca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f0d63ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d37a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86caf80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d37f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f86f97e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1685000>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f177a5c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d38e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f8632560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f85a56c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f120c880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d39d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f94d1de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9558760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82ed5a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f9449f60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f886e320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f93a08e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f95a4ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f1692320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f39031d3c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f3903a98ca0>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f38f82f8be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
=============================== warnings summary ===============================
xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:813: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ds, "MXSUB", default=ds.dims["x"] - 2 * mxg, info=info

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:816: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ds, "MYSUB", default=ds.dims["y"] - 2 * myg, info=info

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:831: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    nx_file = ds.dims["x"]

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:832: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ny_file = ds.dims["y"]

xbout/tests/test_against_collect.py: 5 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataarray.py: 56 warnings
xbout/tests/test_boutdataset.py: 84 warnings
xbout/tests/test_geometries.py: 1 warning
xbout/tests/test_grid.py: 5 warnings
xbout/tests/test_load.py: 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_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 ===============================
4.15s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_slice
2.21s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_list
2.14s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_int
1.88s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-True]
1.77s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-True]
1.73s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
1.71s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
1.68s call     xbout/tests/test_boutdataset.py::TestSave::test_save_all
1.66s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-False]
1.61s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-False-False]
1.43s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None]
1.19s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
1.12s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
0.91s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
0.89s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
0.84s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
0.84s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
0.83s call     xbout/tests/test_load.py::TestOpen::test_toroidal
0.83s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls4]
0.81s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_multiline
0.79s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax
0.78s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_fps
0.78s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_float
0.77s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls5]
0.76s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls5]
0.75s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls0]
0.74s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_subplots_adjust
0.74s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls2]
0.74s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls1]
0.74s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_animate_over
0.73s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls2]
0.73s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls4]
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls5]
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_not_enough_nrowsncols
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls3]
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls1]
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_ncols
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_nrows
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_default
0.72s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls0]
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax_list
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_save_as
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls3]
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls4]
0.71s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin
0.70s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_list
0.70s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin_list
0.70s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_titles_list
0.70s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls3]
0.67s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls2]
0.67s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls1]
0.66s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls0]
0.65s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D
0.60s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
0.51s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0]
0.48s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards0]
0.47s call     xbout/tests/test_load.py::TestOpen::test_salpha
0.46s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2]
0.46s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0]
0.45s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3]
0.45s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1]
0.45s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0]
0.45s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1]
0.45s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2]
0.45s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3]
0.45s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3]
0.45s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
0.45s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1]
0.45s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
0.44s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2]
0.44s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
0.44s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
0.44s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
0.44s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
0.43s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards1]
0.43s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards3]
0.43s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards2]
0.40s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
0.39s call     xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
0.39s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
0.39s call     xbout/tests/test_load.py::TestOpen::test_combine_along_x
0.37s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
0.36s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
0.34s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
0.34s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
0.30s call     xbout/tests/test_load.py::TestOpen::test_combine_along_y
0.30s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
0.30s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards3]
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards0]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards2]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards2]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards1]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards3]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards1]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards0]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards3]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards2]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards3]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards1]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards2]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards0]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards0]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards2]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards0]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards3]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards1]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards1]
0.26s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
0.25s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1]
0.25s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0]
0.24s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3]
0.24s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1]
0.24s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
0.24s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
0.23s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3]
0.23s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
0.23s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards3]
0.23s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3]
0.23s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
0.23s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3]
0.22s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
0.21s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3]
0.21s call     xbout/tests/test_load.py::TestOpen::test_drop_vars
0.21s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3]
0.19s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2]
0.19s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards0]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0]
0.19s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards0]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2]
0.19s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards2]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0]
0.19s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards0]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards0]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards0]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1]
0.18s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2]
0.18s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0]
0.18s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
0.18s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
0.18s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0]
0.18s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards3]
0.18s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards3]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards1]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards1]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards2]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards2]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards0]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards0]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards0]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards3]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards1]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards2]
0.15s call     xbout/tests/test_load.py::TestOpen::test_restarts
0.15s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards3]
0.14s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
0.13s call     xbout/tests/test_load.py::TestOpen::test_squashed_file
0.13s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float64]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards3]
0.10s call     xbout/tests/test_fastoutput.py::TestFastOutput::test_open_fastoutput
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards1]
0.10s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
0.10s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
0.09s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
0.09s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
0.09s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-0]
0.09s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
0.09s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-2]
0.09s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
0.09s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
0.09s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
0.09s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
0.09s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-2]
0.08s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
0.08s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
0.08s call     xbout/tests/test_load.py::TestOpen::test_single_file
0.07s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
0.07s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
0.07s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
0.07s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
0.05s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel
0.05s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points
0.05s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points_list
0.04s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards2]
0.04s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_chunks
0.04s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards3]
0.04s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards1]
0.04s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards0]
0.04s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
0.04s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_sol
0.04s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_extra_dims
0.04s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_all_variables_arg
0.03s call     xbout/tests/test_load.py::test_set_fci_coords
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[1-False-True-guards0]
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards0]
0.03s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-False]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards1]
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-False-guards3]
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[1-True-False-guards3]
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-False-guards2]
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-False-True-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-False-True-guards3]
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[1-False-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-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[1-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards0]
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[1-True-False-guards2]
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[2-True-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[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-False-False-guards1]
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[1-True-False-guards1]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddz
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-8]
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[1-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards0]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_to_cartesian
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-7]
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_add_cartesian_coordinates
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_interpolate_parallel_sol
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[2]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[18]
0.02s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_brackets[3-111]
0.02s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[121-2]
0.02s setup    xbout/tests/test_load.py::test_set_fci_coords
0.02s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_apply_geometry
0.02s call     xbout/tests/test_load.py::TestStripMetadata::test_strip_metadata
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[False-True]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-False]
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[False]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-True]
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[True]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_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_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[9]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[7]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_XLOW]
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_dask[True]
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[True-8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-7]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[9]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-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_to_field_aligned[True-6]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-8]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_add_cartesian_coordinates
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
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[True-6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-9]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_XLOW]
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_to_field_aligned[8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_YLOW]
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_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[False]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_ZLOW]
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_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_XLOW]
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_by_filenum[0-3-3-4-lower_boundaries9-upper_boundaries9]
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_doublenull_by_filenum[0-1-1-4-lower_boundaries1-upper_boundaries1]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[True-3-False-True]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[False-0-True-False]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[False-1-False-True]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[False-3-False-True]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[True-0-True-False]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[True-1-False-True]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[True-2-True-False]
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_doublenull[0-0-3-4-lower_boundaries4-upper_boundaries4]
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_doublenull[1-1-3-4-lower_boundaries8-upper_boundaries8]
0.01s call     xbout/tests/test_load.py::TestTrim::test_keep_yboundaries_doublenull_by_filenum[False-2-True-False]

(1662 durations < 0.005s hidden.  Use -vv to show these durations.)
=========================== short test summary info ============================
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[False]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[True]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[18]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_sol
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_sol
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points_list
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_to_cartesian
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_add_cartesian_coordinates
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddx
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddz
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[6]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[7]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[8]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[9]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_dask
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[6]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[7]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[8]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[9]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_all_variables_arg
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_to_cartesian
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_add_cartesian_coordinates
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_all - ValueError:...
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None] - Val...
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float64]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
FAILED xbout/tests/test_load.py::TestOpen::test_single_file - ValueError: dim...
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_file - ValueError: d...
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_x - ValueError:...
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_y - ValueError:...
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_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]
= 609 failed, 144 passed, 5 skipped, 1718 warnings, 38 errors in 238.01s (0:03:58) =

RPM build errors:
error: Bad exit status from /var/tmp/rpm-tmp.7WhYXm (%check)
    Bad exit status from /var/tmp/rpm-tmp.7WhYXm (%check)
Finish: rpmbuild python-xbout-0.3.6-6.fc44.src.rpm
Finish: build phase for python-xbout-0.3.6-6.fc44.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1757333401.214824/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
ERROR: Exception(/var/lib/copr-rpmbuild/results/python-xbout-0.3.6-6.fc44.src.rpm) Config(fedora-rawhide-x86_64) 4 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 032c8426de5f44299f916d0e3a4a516b -D /var/lib/mock/fedora-rawhide-x86_64-1757333401.214824/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.muc_pzne:/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