Warning: Permanently added '54.167.51.53' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/9505275-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.4
PID: 18988
Logging PID: 18990
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 9505275,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '2352b79ff7e983e66623bcc1295c0f4f27f4066a',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/@python/python-in-pulp/python-xbout',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-xbout',
 'package_version': '0.3.6-6',
 'project_dirname': 'python-in-pulp',
 'project_name': 'python-in-pulp',
 'project_owner': '@python',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://console.redhat.com/api/pulp-content/public-copr/@python/python-in-pulp/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': '@python/python-in-pulp--frostyx',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': 1,
 'submitter': 'frostyx',
 'tags': [],
 'task_id': '9505275-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/@python/python-in-pulp/python-xbout /var/lib/copr-rpmbuild/workspace/workdir-d367oozo/python-xbout --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/@python/python-in-pulp/python-xbout', '/var/lib/copr-rpmbuild/workspace/workdir-d367oozo/python-xbout', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-d367oozo/python-xbout'...

Running: git checkout 2352b79ff7e983e66623bcc1295c0f4f27f4066a --

cmd: ['git', 'checkout', '2352b79ff7e983e66623bcc1295c0f4f27f4066a', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-d367oozo/python-xbout
rc: 0
stdout: 
stderr: Note: switching to '2352b79ff7e983e66623bcc1295c0f4f27f4066a'.

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 2352b79 automatic import of python-xbout

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-d367oozo/python-xbout
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading xbout-0.3.6.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o xbout-0.3.6.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/@python/python-in-pulp/python-xbout/xbout-0.3.6.tar.gz/md5/f4970400bb7c6d2380b222c0bb98302a/xbout-0.3.6.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 4692k  100 4692k    0     0  25.8M      0 --:--:-- --:--:-- --:--:-- 25.8M
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-d367oozo/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-d367oozo/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1756533364.710581 -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-d367oozo/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-d367oozo/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1756533364.710581 -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-d367oozo/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-1756533364.710581/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-1fd90af1-812c-43b7-8c8f-2ce25ee98401
INFO: Checking that 5fd7cde98a42b20c1eeb54bd26e59dc8ee0f1e400933713a63dd571cf8fd884e image matches host's architecture
INFO: Copy content of container 5fd7cde98a42b20c1eeb54bd26e59dc8ee0f1e400933713a63dd571cf8fd884e to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1756533364.710581/root
INFO: mounting 5fd7cde98a42b20c1eeb54bd26e59dc8ee0f1e400933713a63dd571cf8fd884e with podman image mount
INFO: image 5fd7cde98a42b20c1eeb54bd26e59dc8ee0f1e400933713a63dd571cf8fd884e as /var/lib/containers/storage/overlay/bea370efd1e053defc420152826c8bdce8885f847ce76d164de4f71f92dba958/merged
INFO: umounting image 5fd7cde98a42b20c1eeb54bd26e59dc8ee0f1e400933713a63dd571cf8fd884e (/var/lib/containers/storage/overlay/bea370efd1e053defc420152826c8bdce8885f847ce76d164de4f71f92dba958/merged) with podman image umount
INFO: Removing image mock-bootstrap-1fd90af1-812c-43b7-8c8f-2ce25ee98401
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_64-1756533364.710581/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
  dnf5-5.2.16.0-3.fc44.x86_64
  dnf5-plugins-5.2.16.0-3.fc44.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 Copr repository                        100% | 128.0   B/s |   1.6 KiB |  00m12s
 fedora                                 100% |   2.2 KiB/s |  27.3 KiB |  00m12s
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 2.42.9000-3.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             copr_base  285.5 KiB
 sed                               x86_64 4.9-5.fc43                 fedora     857.3 KiB
 shadow-utils                      x86_64 2:4.18.0-3.fc43            fedora       3.9 MiB
 tar                               x86_64 2:1.35-6.fc43              fedora       2.9 MiB
 unzip                             x86_64 6.0-68.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               copr_base  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~rc2-1.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                copr_base  100.2 KiB
 file-libs                         x86_64 5.46-7.fc44                copr_base   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                copr_base   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 2.42.9000-3.fc44           fedora       6.7 MiB
 glibc-common                      x86_64 2.42.9000-3.fc44           fedora       1.0 MiB
 glibc-gconv-extra                 x86_64 2.42.9000-3.fc44           fedora       7.2 MiB
 gmp                               x86_64 1:6.3.0-4.fc43             fedora     811.2 KiB
 gnat-srpm-macros                  noarch 6-8.fc43                   fedora       1.0 KiB
 gnupg2                            x86_64 2.4.8-4.fc43               fedora       6.5 MiB
 gnupg2-dirmngr                    x86_64 2.4.8-4.fc43               fedora     618.4 KiB
 gnupg2-gpg-agent                  x86_64 2.4.8-4.fc43               fedora     671.4 KiB
 gnupg2-gpgconf                    x86_64 2.4.8-4.fc43               fedora     250.0 KiB
 gnupg2-keyboxd                    x86_64 2.4.8-4.fc43               fedora     201.4 KiB
 gnupg2-verify                     x86_64 2.4.8-4.fc43               fedora     348.5 KiB
 gnutls                            x86_64 3.8.10-3.fc43              fedora       3.8 MiB
 go-srpm-macros                    noarch 3.7.0-4.fc43               fedora      61.6 KiB
 gpgverify                         noarch 2.2-3.fc43                 fedora       8.7 KiB
 ima-evm-utils-libs                x86_64 1.6.2-6.fc43               fedora      60.7 KiB
 jansson                           x86_64 2.14-3.fc43                fedora      89.1 KiB
 java-srpm-macros                  noarch 1-7.fc43                   fedora     870.0   B
 json-c                            x86_64 0.18-7.fc43                fedora      82.7 KiB
 kernel-srpm-macros                noarch 1.0-27.fc43                fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-6.fc43               fedora      54.3 KiB
 krb5-libs                         x86_64 1.21.3-7.fc43              fedora       2.3 MiB
 libacl                            x86_64 2.3.2-4.fc43               fedora      35.9 KiB
 libarchive                        x86_64 3.8.1-3.fc43               fedora     951.1 KiB
 libassuan                         x86_64 2.5.7-4.fc43               fedora     163.8 KiB
 libattr                           x86_64 2.5.2-6.fc43               fedora      24.4 KiB
 libblkid                          x86_64 2.41.1-16.fc44             fedora     262.4 KiB
 libbrotli                         x86_64 1.1.0-9.fc44               copr_base  833.3 KiB
 libcap                            x86_64 2.76-3.fc44                fedora     209.1 KiB
 libcap-ng                         x86_64 0.8.5-7.fc44               copr_base   68.9 KiB
 libcom_err                        x86_64 1.47.3-2.fc43              fedora      63.1 KiB
 libcurl                           x86_64 8.16.0~rc2-1.fc44          fedora     919.7 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 3.5.1-2.fc43               fedora      83.6 KiB
 libfsverity                       x86_64 1.6-3.fc43                 fedora      28.5 KiB
 libgcc                            x86_64 15.2.1-1.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 1.66.0-2.fc43              fedora     162.2 KiB
 libpkgconf                        x86_64 2.3.0-3.fc43               fedora      78.1 KiB
 libpsl                            x86_64 0.21.5-6.fc43              fedora      76.4 KiB
 libselinux                        x86_64 3.9-4.fc44                 copr_base  193.1 KiB
 libsemanage                       x86_64 3.9-3.fc44                 copr_base  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             copr_base    1.7 MiB
 libzstd                           x86_64 1.5.7-2.fc43               fedora     799.9 KiB
 lua-libs                          x86_64 5.4.8-2.fc43               fedora     280.8 KiB
 lua-srpm-macros                   noarch 1-16.fc43                  fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-3.fc43              fedora     161.4 KiB
 mpfr                              x86_64 4.2.2-2.fc43               fedora     832.8 KiB
 ncurses-base                      noarch 6.5-7.20250614.fc43        fedora     328.1 KiB
 ncurses-libs                      x86_64 6.5-7.20250614.fc43        fedora     946.3 KiB
 nettle                            x86_64 3.10.1-2.fc43              fedora     790.6 KiB
 npth                              x86_64 1.8-3.fc43                 fedora      49.6 KiB
 ocaml-srpm-macros                 noarch 11-2.fc43                  fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-20.fc43                  fedora     112.0   B
 openldap                          x86_64 2.6.10-3.fc43              fedora     655.8 KiB
 openssl-libs                      x86_64 1:3.5.1-3.fc44             fedora       9.2 MiB
 p11-kit                           x86_64 0.25.5-9.fc43              fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-9.fc43              fedora     395.5 KiB
 package-notes-srpm-macros         noarch 0.5-14.fc43                fedora       1.6 KiB
 pam-libs                          x86_64 1.7.1-3.fc43               fedora     126.8 KiB
 pcre2                             x86_64 10.45-1.fc43.1             fedora     697.7 KiB
 pcre2-syntax                      noarch 10.45-1.fc43.1             fedora     273.9 KiB
 perl-srpm-macros                  noarch 1-60.fc43                  fedora     861.0   B
 pkgconf                           x86_64 2.3.0-3.fc43               fedora      88.5 KiB
 pkgconf-m4                        noarch 2.3.0-3.fc43               fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-3.fc43               fedora     989.0   B
 popt                              x86_64 1.19-9.fc43                fedora     132.8 KiB
 publicsuffix-list-dafsa           noarch 20250616-2.fc43            fedora      69.1 KiB
 pyproject-srpm-macros             noarch 1.18.3-2.fc43              fedora       1.9 KiB
 python-srpm-macros                noarch 3.14-7.fc44                fedora      51.5 KiB
 qt5-srpm-macros                   noarch 5.15.17-2.fc43             fedora     500.0   B
 qt6-srpm-macros                   noarch 6.9.1-2.fc43               fedora     464.0   B
 readline                          x86_64 8.3-2.fc43                 fedora     511.7 KiB
 rpm                               x86_64 5.99.92-1.fc44             copr_base    3.0 MiB
 rpm-build-libs                    x86_64 5.99.92-1.fc44             copr_base  272.4 KiB
 rpm-libs                          x86_64 5.99.92-1.fc44             copr_base  933.7 KiB
 rpm-sequoia                       x86_64 1.9.0-2.fc43               fedora       2.5 MiB
 rpm-sign-libs                     x86_64 5.99.92-1.fc44             copr_base   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~rc3-2.fc44             fedora       2.3 MiB
 systemd-standalone-sysusers       x86_64 258~rc3-2.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 0 B.
After this operation, 198 MiB extra will be used (install 198 MiB, remove 0 B).
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>>> Already downloaded                                                          
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>>> Already downloaded                                                          
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>>> Already downloaded                                                          
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>>> Already downloaded                                                          
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--------------------------------------------------------------------------------
[170/170] Total                         100% |   0.0   B/s |   0.0   B |  00m00s
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% | 762.0   B/s | 170.0   B |  00m00s
>>> Running %pretrans scriptlet: filesystem-0:3.18-50.fc43.x86_64               
>>> Finished %pretrans scriptlet: filesystem-0:3.18-50.fc43.x86_64              
>>> [RPM] /var/lib/mock/fedora-rawhide-x86_64-1756533364.710581/root/var/cache/d
[  2/172] Prepare transaction           100% |   4.0 KiB/s | 170.0   B |  00m00s
[  3/172] Installing libgcc-0:15.2.1-1. 100% | 262.0 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% |   0.0   B/s |  69.8 KiB |  00m00s
[  6/172] Installing fedora-release-ide 100% |   0.0   B/s | 920.0   B |  00m00s
[  7/172] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  8/172] Installing fedora-gpg-keys-0: 100% |  43.7 MiB/s | 179.0 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% |  24.2 MiB/s |  24.8 KiB |  00m00s
[ 11/172] Installing fedora-release-0:4 100% |  17.3 KiB/s | 124.0   B |  00m00s
>>> Running sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch                   
>>> Finished sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch                  
>>> Scriptlet output:                                                           
>>> Creating group 'adm' with GID 4.                                            
>>> Creating group 'audio' with GID 63.                                         
>>> Creating group 'cdrom' with GID 11.                                         
>>> Creating group 'clock' with GID 103.                                        
>>> Creating group 'dialout' with GID 18.                                       
>>> Creating group 'disk' with GID 6.                                           
>>> Creating group 'floppy' with GID 19.                                        
>>> Creating group 'ftp' with GID 50.                                           
>>> Creating group 'games' with GID 20.                                         
>>> Creating group 'input' with GID 104.                                        
>>> Creating group 'kmem' with GID 9.                                           
>>> Creating group 'kvm' with GID 36.                                           
>>> Creating group 'lock' with GID 54.                                          
>>> Creating group 'lp' with GID 7.                                             
>>> Creating group 'mail' with GID 12.                                          
>>> Creating group 'man' with GID 15.                                           
>>> Creating group 'mem' with GID 8.                                            
>>> Creating group 'nobody' with GID 65534.                                     
>>> Creating group 'render' with GID 105.                                       
>>> Creating group 'root' with GID 0.                                           
>>> Creating group 'sgx' with GID 106.                                          
>>> Creating group 'sys' with GID 3.                                            
>>> Creating group 'tape' with GID 33.                                          
>>> Creating group 'tty' with GID 5.                                            
>>> Creating group 'users' with GID 100.                                        
>>> Creating group 'utmp' with GID 22.                                          
>>> Creating group 'video' with GID 39.                                         
>>> Creating group 'wheel' with GID 10.                                         
>>> Creating user 'adm' (adm) with UID 3 and GID 4.                             
>>> Creating group 'bin' with GID 1.                                            
>>> Creating user 'bin' (bin) with UID 1 and GID 1.                             
>>> Creating group 'daemon' with GID 2.                                         
>>> Creating user 'daemon' (daemon) with UID 2 and GID 2.                       
>>> Creating user 'ftp' (FTP User) with UID 14 and GID 50.                      
>>> Creating user 'games' (games) with UID 12 and GID 100.                      
>>> Creating user 'halt' (halt) with UID 7 and GID 0.                           
>>> Creating user 'lp' (lp) with UID 4 and GID 7.                               
>>> Creating user 'mail' (mail) with UID 8 and GID 12.                          
>>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. 
>>> Creating user 'operator' (operator) with UID 11 and GID 0.                  
>>> Creating user 'root' (Super User) with UID 0 and GID 0.                     
>>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0.                   
>>> Creating user 'sync' (sync) with UID 5 and GID 0.                           
>>>                                                                             
[ 12/172] Installing setup-0:2.15.0-26. 100% |  51.0 MiB/s | 730.6 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 13/172] Installing filesystem-0:3.18- 100% |   2.9 MiB/s | 212.8 KiB |  00m00s
[ 14/172] Installing pkgconf-m4-0:2.3.0 100% |   0.0   B/s |  14.8 KiB |  00m00s
[ 15/172] Installing pcre2-syntax-0:10. 100% | 269.9 MiB/s | 276.4 KiB |  00m00s
[ 16/172] Installing ncurses-base-0:6.5 100% |  86.3 MiB/s | 353.5 KiB |  00m00s
[ 17/172] Installing bash-0:5.3.0-2.fc4 100% | 255.5 MiB/s |   8.4 MiB |  00m00s
[ 18/172] Installing glibc-common-0:2.4 100% |  63.8 MiB/s |   1.0 MiB |  00m00s
[ 19/172] Installing glibc-gconv-extra- 100% | 292.4 MiB/s |   7.3 MiB |  00m00s
[ 20/172] Installing glibc-0:2.42.9000- 100% | 186.2 MiB/s |   6.7 MiB |  00m00s
[ 21/172] Installing ncurses-libs-0:6.5 100% | 310.1 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% | 135.2 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% |  60.0 MiB/s | 921.1 KiB |  00m00s
[ 26/172] Installing libstdc++-0:15.2.1 100% | 406.3 MiB/s |   2.8 MiB |  00m00s
[ 27/172] Installing xz-libs-1:5.8.1-2. 100% | 213.8 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% | 393.8 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.fc43 100% | 397.2 MiB/s | 813.5 KiB |  00m00s
[ 32/172] Installing libuuid-0:2.41.1-1 100% |   0.0   B/s |  38.5 KiB |  00m00s
[ 33/172] Installing popt-0:1.19-9.fc43 100% |  68.1 MiB/s | 139.4 KiB |  00m00s
[ 34/172] Installing npth-0:1.8-3.fc43. 100% |   0.0   B/s |  50.7 KiB |  00m00s
[ 35/172] Installing libblkid-0:2.41.1- 100% | 257.3 MiB/s | 263.5 KiB |  00m00s
[ 36/172] Installing libxcrypt-0:4.4.38 100% | 280.4 MiB/s | 287.2 KiB |  00m00s
[ 37/172] Installing libzstd-0:1.5.7-2. 100% | 391.2 MiB/s | 801.1 KiB |  00m00s
[ 38/172] Installing elfutils-libelf-0: 100% | 388.8 MiB/s |   1.2 MiB |  00m00s
[ 39/172] Installing sqlite-libs-0:3.50 100% | 379.1 MiB/s |   1.5 MiB |  00m00s
[ 40/172] Installing gnupg2-gpgconf-0:2 100% |  20.5 MiB/s | 252.0 KiB |  00m00s
[ 41/172] Installing libattr-0:2.5.2-6. 100% |   0.0   B/s |  25.4 KiB |  00m00s
[ 42/172] Installing libacl-0:2.3.2-4.f 100% |   0.0   B/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% | 345.3 MiB/s |   1.7 MiB |  00m00s
[ 45/172] Installing libidn2-0:2.3.8-2. 100% |  60.6 MiB/s | 558.7 KiB |  00m00s
[ 46/172] Installing crypto-policies-0: 100% |  42.0 MiB/s | 172.0 KiB |  00m00s
[ 47/172] Installing dwz-0:0.16-2.fc43. 100% |  21.7 MiB/s | 288.5 KiB |  00m00s
[ 48/172] Installing gnupg2-verify-0:2. 100% |  28.5 MiB/s | 349.9 KiB |  00m00s
[ 49/172] Installing mpfr-0:4.2.2-2.fc4 100% | 271.6 MiB/s | 834.4 KiB |  00m00s
[ 50/172] Installing gawk-0:5.3.2-2.fc4 100% | 106.8 MiB/s |   1.8 MiB |  00m00s
[ 51/172] Installing libksba-0:1.6.7-4. 100% | 391.7 MiB/s | 401.1 KiB |  00m00s
[ 52/172] Installing unzip-0:6.0-68.fc4 100% |  32.1 MiB/s | 393.8 KiB |  00m00s
[ 53/172] Installing file-libs-0:5.46-7 100% | 658.7 MiB/s |  11.9 MiB |  00m00s
[ 54/172] Installing file-0:5.46-7.fc44 100% |   9.0 MiB/s | 101.7 KiB |  00m00s
[ 55/172] Installing pcre2-0:10.45-1.fc 100% | 341.4 MiB/s | 699.1 KiB |  00m00s
[ 56/172] Installing grep-0:3.12-2.fc43 100% |  66.8 MiB/s |   1.0 MiB |  00m00s
[ 57/172] Installing xz-1:5.8.1-2.fc43. 100% |  78.3 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 lz4-libs-0:1.10.0- 100% | 158.6 MiB/s | 162.5 KiB |  00m00s
[ 60/172] Installing json-c-0:0.18-7.fc 100% |  82.0 MiB/s |  84.0 KiB |  00m00s
[ 61/172] Installing libsepol-0:3.9-2.f 100% | 401.8 MiB/s | 822.9 KiB |  00m00s
[ 62/172] Installing libselinux-0:3.9-4 100% | 189.8 MiB/s | 194.4 KiB |  00m00s
[ 63/172] Installing sed-0:4.9-5.fc43.x 100% |  56.3 MiB/s | 865.5 KiB |  00m00s
[ 64/172] Installing findutils-1:4.10.0 100% | 116.1 MiB/s |   1.9 MiB |  00m00s
[ 65/172] Installing libmount-0:2.41.1- 100% | 364.9 MiB/s | 373.7 KiB |  00m00s
[ 66/172] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.6 KiB |  00m00s
[ 67/172] Installing libcap-ng-0:0.8.5- 100% |  69.2 MiB/s |  70.8 KiB |  00m00s
[ 68/172] Installing audit-libs-0:4.1.1 100% | 372.6 MiB/s | 381.5 KiB |  00m00s
[ 69/172] Installing pam-libs-0:1.7.1-3 100% | 126.0 MiB/s | 129.0 KiB |  00m00s
[ 70/172] Installing libcap-0:2.76-3.fc 100% |  16.1 MiB/s | 214.3 KiB |  00m00s
[ 71/172] Installing systemd-libs-0:258 100% | 389.4 MiB/s |   2.3 MiB |  00m00s
[ 72/172] Installing alternatives-0:1.3 100% |   5.7 MiB/s |  63.8 KiB |  00m00s
[ 73/172] Installing libffi-0:3.5.1-2.f 100% |  83.0 MiB/s |  85.0 KiB |  00m00s
[ 74/172] Installing p11-kit-0:0.25.5-9 100% | 121.4 MiB/s |   2.2 MiB |  00m00s
[ 75/172] Installing p11-kit-trust-0:0. 100% |  19.4 MiB/s | 397.1 KiB |  00m00s
[ 76/172] Installing lua-libs-0:5.4.8-2 100% | 137.6 MiB/s | 281.9 KiB |  00m00s
[ 77/172] Installing util-linux-core-0: 100% |  82.2 MiB/s |   1.5 MiB |  00m00s
[ 78/172] Installing libusb1-0:1.0.29-4 100% | 168.9 MiB/s | 172.9 KiB |  00m00s
[ 79/172] Installing systemd-standalone 100% |  22.1 MiB/s | 294.1 KiB |  00m00s
[ 80/172] Installing libsemanage-0:3.9- 100% | 151.5 MiB/s | 310.2 KiB |  00m00s
[ 81/172] Installing tar-2:1.35-6.fc43. 100% | 147.9 MiB/s |   3.0 MiB |  00m00s
[ 82/172] Installing zstd-0:1.5.7-2.fc4 100% | 106.9 MiB/s |   1.7 MiB |  00m00s
[ 83/172] Installing zip-0:3.0-44.fc43. 100% |  48.7 MiB/s | 698.4 KiB |  00m00s
[ 84/172] Installing gnupg2-keyboxd-0:2 100% |  28.3 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% |   7.0 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% | 258.4 MiB/s | 793.7 KiB |  00m00s
[ 89/172] Installing gnutls-0:3.8.10-3. 100% | 349.0 MiB/s |   3.8 MiB |  00m00s
[ 90/172] Installing libxml2-0:2.12.10- 100% |  94.7 MiB/s |   1.7 MiB |  00m00s
[ 91/172] Installing bzip2-0:1.0.8-21.f 100% |   7.5 MiB/s |  99.8 KiB |  00m00s
[ 92/172] Installing add-determinism-0: 100% | 128.6 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% |  68.7 MiB/s |   1.1 MiB |  00m00s
[ 95/172] Installing diffutils-0:3.12-3 100% |  91.8 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% |  16.9 MiB/s | 224.3 KiB |  00m00s
[ 98/172] Installing jansson-0:2.14-3.f 100% |  88.3 MiB/s |  90.5 KiB |  00m00s
[ 99/172] Installing libgomp-0:15.2.1-1 100% | 264.9 MiB/s | 542.5 KiB |  00m00s
[100/172] Installing libpkgconf-0:2.3.0 100% |  77.4 MiB/s |  79.2 KiB |  00m00s
[101/172] Installing pkgconf-0:2.3.0-3. 100% |   6.8 MiB/s |  91.0 KiB |  00m00s
[102/172] Installing pkgconf-pkg-config 100% | 147.8 KiB/s |   1.8 KiB |  00m00s
[103/172] Installing libtool-ltdl-0:2.5 100% |  69.6 MiB/s |  71.2 KiB |  00m00s
[104/172] Installing gdbm-libs-1:1.23-1 100% | 128.5 MiB/s | 131.6 KiB |  00m00s
[105/172] Installing cyrus-sasl-lib-0:2 100% | 127.8 MiB/s |   2.3 MiB |  00m00s
[106/172] Installing libnghttp2-0:1.66. 100% | 159.5 MiB/s | 163.3 KiB |  00m00s
[107/172] Installing keyutils-libs-0:1. 100% |  54.4 MiB/s |  55.7 KiB |  00m00s
[108/172] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  64.2 KiB |  00m00s
[109/172] Installing libverto-0:0.3.2-1 100% |  26.6 MiB/s |  27.2 KiB |  00m00s
[110/172] Installing xxhash-libs-0:0.8. 100% |  89.4 MiB/s |  91.6 KiB |  00m00s
[111/172] Installing libbrotli-0:1.1.0- 100% | 272.0 MiB/s | 835.6 KiB |  00m00s
[112/172] Installing filesystem-srpm-ma 100% |   0.0   B/s |  38.9 KiB |  00m00s
[113/172] Installing elfutils-default-y 100% | 408.6 KiB/s |   2.0 KiB |  00m00s
[114/172] Installing elfutils-libs-0:0. 100% | 223.1 MiB/s | 685.2 KiB |  00m00s
[115/172] Installing coreutils-common-0 100% | 376.4 MiB/s |  11.3 MiB |  00m00s
[116/172] Installing openssl-libs-1:3.5 100% | 384.2 MiB/s |   9.2 MiB |  00m00s
[117/172] Installing coreutils-0:9.7-5. 100% | 155.6 MiB/s |   5.4 MiB |  00m00s
[118/172] Installing ca-certificates-0: 100% |   2.1 MiB/s |   2.5 MiB |  00m01s
[119/172] Installing libarchive-0:3.8.1 100% | 232.7 MiB/s | 953.1 KiB |  00m00s
[120/172] Installing krb5-libs-0:1.21.3 100% | 152.8 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.   
>>>                                                                             
[121/172] Installing tpm2-tss-0:4.1.3-8 100% | 262.0 MiB/s |   1.6 MiB |  00m00s
[122/172] Installing ima-evm-utils-libs 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[123/172] Installing gnupg2-gpg-agent-0 100% |  30.0 MiB/s | 675.4 KiB |  00m00s
[124/172] Installing libssh-0:0.11.2-2. 100% | 277.7 MiB/s | 568.7 KiB |  00m00s
[125/172] Installing gzip-0:1.14-1.fc44 100% |  30.3 MiB/s | 403.3 KiB |  00m00s
[126/172] Installing rpm-sequoia-0:1.9. 100% | 354.1 MiB/s |   2.5 MiB |  00m00s
[127/172] Installing rpm-libs-0:5.99.92 100% | 304.4 MiB/s | 935.3 KiB |  00m00s
[128/172] Installing libfsverity-0:1.6- 100% |   0.0   B/s |  29.5 KiB |  00m00s
[129/172] Installing libevent-0:2.1.12- 100% | 288.7 MiB/s | 886.8 KiB |  00m00s
[130/172] Installing openldap-0:2.6.10- 100% | 214.7 MiB/s | 659.6 KiB |  00m00s
[131/172] Installing libcurl-0:8.16.0~r 100% | 299.7 MiB/s | 920.8 KiB |  00m00s
[132/172] Installing elfutils-debuginfo 100% |   6.5 MiB/s |  86.2 KiB |  00m00s
[133/172] Installing elfutils-0:0.193-3 100% | 153.6 MiB/s |   2.9 MiB |  00m00s
[134/172] Installing binutils-0:2.45-3. 100% | 323.7 MiB/s |  26.5 MiB |  00m00s
[135/172] Installing gdb-minimal-0:16.3 100% | 276.2 MiB/s |  13.3 MiB |  00m00s
[136/172] Installing debugedit-0:5.2-3. 100% |  16.3 MiB/s | 217.3 KiB |  00m00s
[137/172] Installing curl-0:8.16.0~rc2- 100% |  21.2 MiB/s | 478.1 KiB |  00m00s
[138/172] Installing rpm-0:5.99.92-1.fc 100% |  73.3 MiB/s |   2.5 MiB |  00m00s
[139/172] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.1 KiB |  00m00s
[140/172] Installing java-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[141/172] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[142/172] Installing tree-sitter-srpm-m 100% |   0.0   B/s |   9.3 KiB |  00m00s
[143/172] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[144/172] Installing gnupg2-dirmngr-0:2 100% |  28.9 MiB/s | 621.1 KiB |  00m00s
[145/172] Installing gnupg2-0:2.4.8-4.f 100% | 211.3 MiB/s |   6.6 MiB |  00m00s
[146/172] Installing rpm-sign-libs-0:5. 100% |  39.6 MiB/s |  40.6 KiB |  00m00s
[147/172] Installing rpm-build-libs-0:5 100% | 266.8 MiB/s | 273.2 KiB |  00m00s
[148/172] Installing gpgverify-0:2.2-3. 100% |   0.0   B/s |   9.4 KiB |  00m00s
[149/172] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.6 KiB |  00m00s
[150/172] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 740.0   B |  00m00s
[151/172] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[152/172] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[153/172] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[154/172] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[155/172] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.1 KiB |  00m00s
[156/172] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[157/172] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[158/172] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[159/172] Installing gap-srpm-macros-0: 100% |   0.0   B/s |   2.6 KiB |  00m00s
[160/172] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[161/172] Installing ansible-srpm-macro 100% |   0.0   B/s |  36.2 KiB |  00m00s
[162/172] Installing rpm-build-0:5.99.9 100% |  19.2 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% |  92.5 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% |  61.3 MiB/s |  62.7 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% |   6.0 MiB/s |  85.7 KiB |  00m00s
[170/172] Installing util-linux-0:2.41. 100% |  96.5 MiB/s |   3.6 MiB |  00m00s
[171/172] Installing shadow-utils-2:4.1 100% | 132.3 MiB/s |   4.0 MiB |  00m00s
[172/172] Installing info-0:7.2-6.fc43. 100% | 231.9 KiB/s | 354.3 KiB |  00m02s
Warning: skipped OpenPGP checks for 14 packages from repository: copr_base
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.6.0-2.fc43.x86_64
alternatives-1.33-2.fc43.x86_64
ansible-srpm-macros-1-18.1.fc43.noarch
audit-libs-4.1.1-2.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~rc2-1.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-2.42.9000-3.fc44.x86_64
glibc-common-2.42.9000-3.fc44.x86_64
glibc-gconv-extra-2.42.9000-3.fc44.x86_64
glibc-minimal-langpack-2.42.9000-3.fc44.x86_64
gmp-6.3.0-4.fc43.x86_64
gnat-srpm-macros-6-8.fc43.noarch
gnupg2-2.4.8-4.fc43.x86_64
gnupg2-dirmngr-2.4.8-4.fc43.x86_64
gnupg2-gpg-agent-2.4.8-4.fc43.x86_64
gnupg2-gpgconf-2.4.8-4.fc43.x86_64
gnupg2-keyboxd-2.4.8-4.fc43.x86_64
gnupg2-verify-2.4.8-4.fc43.x86_64
gnutls-3.8.10-3.fc43.x86_64
go-srpm-macros-3.7.0-4.fc43.noarch
gpg-pubkey-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~rc2-1.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-3.5.1-2.fc43.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
libnghttp2-1.66.0-2.fc43.x86_64
libpkgconf-2.3.0-3.fc43.x86_64
libpsl-0.21.5-6.fc43.x86_64
libselinux-3.9-4.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-2.6.10-3.fc43.x86_64
openssl-libs-3.5.1-3.fc44.x86_64
p11-kit-0.25.5-9.fc43.x86_64
p11-kit-trust-0.25.5-9.fc43.x86_64
package-notes-srpm-macros-0.5-14.fc43.noarch
pam-libs-1.7.1-3.fc43.x86_64
patch-2.8-2.fc43.x86_64
pcre2-10.45-1.fc43.1.x86_64
pcre2-syntax-10.45-1.fc43.1.noarch
perl-srpm-macros-1-60.fc43.noarch
pkgconf-2.3.0-3.fc43.x86_64
pkgconf-m4-2.3.0-3.fc43.noarch
pkgconf-pkg-config-2.3.0-3.fc43.x86_64
popt-1.19-9.fc43.x86_64
publicsuffix-list-dafsa-20250616-2.fc43.noarch
pyproject-srpm-macros-1.18.3-2.fc43.noarch
python-srpm-macros-3.14-7.fc44.noarch
qt5-srpm-macros-5.15.17-2.fc43.noarch
qt6-srpm-macros-6.9.1-2.fc43.noarch
readline-8.3-2.fc43.x86_64
redhat-rpm-config-343-13.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~rc3-2.fc44.x86_64
systemd-standalone-sysusers-258~rc3-2.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_64-1756533364.710581/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-d367oozo/python-xbout/python-xbout.spec) Config(child) 0 minutes 23 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-1756533364.710581/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1756533364.710581/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_64-1756533364.710581/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
  dnf5-5.2.16.0-3.fc44.x86_64
  dnf5-plugins-5.2.16.0-3.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% |  23.5 KiB/s |   1.6 KiB |  00m00s
 fedora                                 100% | 209.7 KiB/s |  27.3 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    copr_base    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 20250801-4.fc43      fedora      17.7 KiB
 google-noto-sans-vf-fonts        noarch 20250801-4.fc43      fedora       1.4 MiB
 graphite2                        x86_64 1.3.14-19.fc43       fedora     191.8 KiB
 harfbuzz                         x86_64 11.4.4-1.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 3.1.1-2.fc43         fedora     799.5 KiB
 liblerc                          x86_64 4.0.0-9.fc43         fedora     624.1 KiB
 libpng                           x86_64 2:1.6.50-2.fc43      fedora     237.7 KiB
 libqhull_r                       x86_64 1:8.0.2-7.fc43       fedora     483.3 KiB
 libquadmath                      x86_64 15.2.1-1.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 1.18.3-2.fc43        fedora     114.5 KiB
 python-pip-wheel                 noarch 25.2-2.fc44          copr_base    1.2 MiB
 python-rpm-macros                noarch 3.14-7.fc44          fedora      27.6 KiB
 python3                          x86_64 3.14.0~rc2-1.fc44    copr_base   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        copr_base   36.0 KiB
 python3-iniconfig                noarch 2.1.0-2.fc44         fedora      42.4 KiB
 python3-jinja2                   noarch 3.1.6-5.fc44         copr_base    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    copr_base   42.9 MiB
 python3-markupsafe               x86_64 3.0.2-5.fc44         fedora      61.5 KiB
 python3-matplotlib               x86_64 3.10.5-1.fc43        copr_base   31.6 MiB
 python3-matplotlib-data-fonts    x86_64 3.10.5-1.fc43        copr_base    7.9 MiB
 python3-mpmath                   noarch 1.3.0-15.fc44        fedora       5.3 MiB
 python3-natsort                  noarch 8.4.0-7.fc44         copr_base  264.4 KiB
 python3-netcdf4                  x86_64 1.7.2-8.fc44         fedora       2.3 MiB
 python3-numpy                    x86_64 1:2.3.2-2.fc44       copr_base   41.3 MiB
 python3-numpy-f2py               x86_64 1:2.3.2-2.fc44       copr_base    2.1 MiB
 python3-olefile                  noarch 0.47-10.fc44         fedora     346.5 KiB
 python3-packaging                noarch 25.0-5.fc44          copr_base  607.5 KiB
 python3-pillow                   x86_64 11.3.0-4.fc44        copr_base    4.2 MiB
 python3-platformdirs             noarch 4.2.2-7.fc44         fedora     177.6 KiB
 python3-pluggy                   noarch 1.6.0-3.fc44         copr_base  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        copr_base  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 113 MiB. Need to download 65 MiB.
After this operation, 518 MiB extra will be used (install 518 MiB, remove 0 B).
[  1/102] python3-devel-0:3.14.0~rc2-1. 100% |   0.0   B/s |   0.0   B |  00m00s
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[  2/102] libgfortran-0:15.2.1-1.fc44.1 100% |   0.0   B/s |   0.0   B |  00m00s
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[  3/102] python3-0:3.14.0~rc2-1.fc44.x 100% |   0.0   B/s |   0.0   B |  00m00s
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[  4/102] python3-packaging-0:25.0-5.fc 100% |   0.0   B/s |   0.0   B |  00m00s
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[  5/102] python3-requests-0:2.32.5-1.f 100% |   0.0   B/s |   0.0   B |  00m00s
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[  6/102] python3-numpy-1:2.3.2-2.fc44. 100% |   0.0   B/s |   0.0   B |  00m00s
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[  7/102] flexiblas-netlib-0:3.4.5-5.fc 100% |   0.0   B/s |   0.0   B |  00m00s
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[  8/102] flexiblas-0:3.4.5-5.fc44.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[  9/102] flexiblas-openblas-openmp-0:3 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 10/102] libquadmath-0:15.2.1-1.fc44.1 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 11/102] openblas-openmp-0:0.3.29-2.fc 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 12/102] python3-dateutil-1:2.9.0.post 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 13/102] tzdata-0:2025b-3.fc43.noarch  100% |   0.0   B/s |   0.0   B |  00m00s
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[ 14/102] python3-scipy-0:1.15.3-5.fc44 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 15/102] openblas-0:0.3.29-2.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 16/102] python3-charset-normalizer-0: 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 17/102] python3-idna-0:3.10-5.fc44.no 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 18/102] python3-urllib3-0:2.5.0-2.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 19/102] python3-numpy-f2py-1:2.3.2-2. 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 20/102] python3-libs-0:3.14.0~rc2-1.f 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 21/102] expat-0:2.7.1-3.fc43.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
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[ 22/102] mpdecimal-0:4.0.1-2.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 23/102] python3-pooch-0:1.8.2-8.fc44. 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 24/102] python3-platformdirs-0:4.2.2- 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 25/102] python3-six-0:1.17.0-6.fc44.n 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 26/102] python-pip-wheel-0:25.2-2.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 27/102] pyproject-rpm-macros-0:1.18.3 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 28/102] python-rpm-macros-0:3.14-7.fc 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 29/102] python3-rpm-generators-0:14-1 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 30/102] python3-rpm-macros-0:3.14-7.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 31/102] python3-sphinx-autodoc-typehi 100% |   2.9 MiB/s |  53.9 KiB |  00m00s
[ 32/102] python3-pytest-0:8.3.5-8.fc44 100% |  92.4 MiB/s |   2.2 MiB |  00m00s
[ 33/102] python3-sphinx-1:8.2.3-10.fc4 100% | 179.1 MiB/s |   2.9 MiB |  00m00s
[ 34/102] netcdf-0:4.9.3-1.fc44.x86_64  100% | 117.9 MiB/s | 845.0 KiB |  00m00s
[ 35/102] blosc-0:1.21.6-7.fc43.x86_64  100% |  28.4 MiB/s |  58.1 KiB |  00m00s
[ 36/102] hdf5-0:1.14.6-6.fc43.x86_64   100% | 249.2 MiB/s |   2.0 MiB |  00m00s
[ 37/102] libaec-0:1.1.4-3.fc44.x86_64  100% |  18.4 MiB/s |  37.6 KiB |  00m00s
[ 38/102] python3-boutdata-0:0.3.0-5.fc 100% |   5.6 MiB/s | 335.5 KiB |  00m00s
[ 39/102] libzip-0:1.11.4-2.fc43.x86_64 100% |  17.1 MiB/s |  70.0 KiB |  00m00s
[ 40/102] snappy-0:1.2.2-2.fc43.x86_64  100% |  12.9 MiB/s |  39.6 KiB |  00m00s
[ 41/102] python3-docutils-0:0.21.2-5.f 100% | 156.8 MiB/s |   1.1 MiB |  00m00s
[ 42/102] python3-babel-0:2.17.0-5.fc44 100% | 238.9 MiB/s |   6.9 MiB |  00m00s
[ 43/102] python3-netcdf4-0:1.7.2-8.fc4 100% |   9.6 MiB/s | 645.9 KiB |  00m00s
[ 44/102] python3-pygments-0:2.19.1-5.f 100% | 178.2 MiB/s |   2.7 MiB |  00m00s
[ 45/102] python3-roman-numerals-py-0:3 100% |   9.8 MiB/s |  20.0 KiB |  00m00s
[ 46/102] python3-snowballstemmer-0:3.0 100% |  91.3 MiB/s | 280.6 KiB |  00m00s
[ 47/102] python3-sphinx-theme-alabaste 100% |  11.9 MiB/s |  24.4 KiB |  00m00s
[ 48/102] python3-iniconfig-0:2.1.0-2.f 100% |  22.2 MiB/s |  22.7 KiB |  00m00s
[ 49/102] python3-imagesize-0:1.4.1-13. 100% | 336.4 KiB/s |  22.5 KiB |  00m00s
[ 50/102] python3-certifi-0:2025.07.09- 100% |   7.3 MiB/s |  14.9 KiB |  00m00s
[ 51/102] python3-cftime-0:1.6.4-9.fc44 100% |  53.3 MiB/s | 218.1 KiB |  00m00s
[ 52/102] python3-jinja2-0:3.1.6-5.fc44 100% |   8.8 MiB/s | 494.7 KiB |  00m00s
[ 53/102] dejavu-sans-fonts-0:2.37-26.f 100% | 189.3 MiB/s |   1.3 MiB |  00m00s
[ 54/102] freetype-0:2.13.3-3.fc43.x86_ 100% | 100.6 MiB/s | 412.1 KiB |  00m00s
[ 55/102] libqhull_r-1:8.0.2-7.fc43.x86 100% |  65.7 MiB/s | 201.9 KiB |  00m00s
[ 56/102] fonts-filesystem-1:2.0.5-23.f 100% |   4.2 MiB/s |   8.7 KiB |  00m00s
[ 57/102] python3-pluggy-0:1.6.0-3.fc44 100% |   1.1 MiB/s |  56.6 KiB |  00m00s
[ 58/102] harfbuzz-0:11.4.4-1.fc44.x86_ 100% | 180.2 MiB/s |   1.1 MiB |  00m00s
[ 59/102] libpng-2:1.6.50-2.fc43.x86_64 100% |  24.0 MiB/s | 123.0 KiB |  00m00s
[ 60/102] graphite2-0:1.3.14-19.fc43.x8 100% |  23.3 MiB/s |  95.6 KiB |  00m00s
[ 61/102] glib2-0:2.85.4-1.fc44.x86_64  100% | 219.8 MiB/s |   3.1 MiB |  00m00s
[ 62/102] python3-sympy-0:1.14.0-6.fc44 100% | 253.1 MiB/s |  15.9 MiB |  00m00s
[ 63/102] python3-cairo-0:1.28.0-3.fc44 100% |  41.0 MiB/s | 126.1 KiB |  00m00s
[ 64/102] cairo-0:1.18.4-2.fc43.x86_64  100% | 142.4 MiB/s | 729.3 KiB |  00m00s
[ 65/102] fontconfig-0:2.17.0-3.fc43.x8 100% |  19.0 MiB/s | 272.2 KiB |  00m00s
[ 66/102] python3-matplotlib-0:3.10.5-1 100% |  55.9 MiB/s |   7.7 MiB |  00m00s
[ 67/102] libX11-0:1.8.12-1.fc43.x86_64 100% |  49.2 MiB/s | 655.6 KiB |  00m00s
[ 68/102] libXext-0:1.3.6-4.fc43.x86_64 100% |  12.7 MiB/s |  39.1 KiB |  00m00s
[ 69/102] libXrender-0:0.9.12-3.fc43.x8 100% |  13.1 MiB/s |  26.9 KiB |  00m00s
[ 70/102] libxcb-0:1.17.0-6.fc43.x86_64 100% |  77.4 MiB/s | 237.7 KiB |  00m00s
[ 71/102] lzo-0:2.10-15.fc43.x86_64     100% |  22.6 MiB/s |  69.4 KiB |  00m00s
[ 72/102] pixman-0:0.46.2-2.fc43.x86_64 100% |  95.2 MiB/s | 292.5 KiB |  00m00s
[ 73/102] default-fonts-core-sans-0:4.2 100% |  29.2 MiB/s |  29.9 KiB |  00m00s
[ 74/102] xml-common-0:0.6.3-67.fc43.no 100% |  15.2 MiB/s |  31.0 KiB |  00m00s
[ 75/102] libX11-common-0:1.8.12-1.fc43 100% |  57.3 MiB/s | 175.9 KiB |  00m00s
[ 76/102] libXau-0:1.0.12-3.fc43.x86_64 100% |  16.3 MiB/s |  33.4 KiB |  00m00s
[ 77/102] abattis-cantarell-vf-fonts-0: 100% |  39.1 MiB/s | 120.1 KiB |  00m00s
[ 78/102] google-noto-fonts-common-0:20 100% |   8.4 MiB/s |  17.2 KiB |  00m00s
[ 79/102] google-noto-sans-vf-fonts-0:2 100% | 150.0 MiB/s | 614.5 KiB |  00m00s
[ 80/102] python3-contourpy-0:1.3.3-2.f 100% |  93.0 MiB/s | 285.7 KiB |  00m00s
[ 81/102] python3-cycler-0:0.11.0-18.fc 100% |  10.6 MiB/s |  21.8 KiB |  00m00s
[ 82/102] python3-kiwisolver-0:1.4.9-2. 100% |  22.2 MiB/s |  68.2 KiB |  00m00s
[ 83/102] python3-fonttools-0:4.59.2-1. 100% | 241.9 MiB/s |   3.1 MiB |  00m00s
[ 84/102] python3-pillow-0:11.3.0-4.fc4 100% |   9.3 MiB/s |   1.0 MiB |  00m00s
[ 85/102] lcms2-0:2.16-6.fc43.x86_64    100% |  59.5 MiB/s | 182.8 KiB |  00m00s
[ 86/102] libimagequant-0:4.0.3-8.fc43. 100% | 102.2 MiB/s | 313.8 KiB |  00m00s
[ 87/102] libjpeg-turbo-0:3.1.1-2.fc43. 100% |  76.8 MiB/s | 236.1 KiB |  00m00s
[ 88/102] libraqm-0:0.10.1-3.fc43.x86_6 100% |  21.9 MiB/s |  22.4 KiB |  00m00s
[ 89/102] libtiff-0:4.7.0-8.fc44.x86_64 100% |  54.0 MiB/s | 221.1 KiB |  00m00s
[ 90/102] libwebp-0:1.6.0-2.fc43.x86_64 100% | 105.5 MiB/s | 324.2 KiB |  00m00s
[ 91/102] openjpeg-0:2.5.3-8.fc43.x86_6 100% |  62.5 MiB/s | 192.1 KiB |  00m00s
[ 92/102] fribidi-0:1.0.16-3.fc43.x86_6 100% |  26.0 MiB/s |  53.3 KiB |  00m00s
[ 93/102] jbigkit-libs-0:2.1-32.fc43.x8 100% |  17.3 MiB/s |  53.2 KiB |  00m00s
[ 94/102] liblerc-0:4.0.0-9.fc43.x86_64 100% |  42.0 MiB/s | 215.1 KiB |  00m00s
[ 95/102] python3-pyparsing-0:3.1.2-13. 100% |  93.4 MiB/s | 286.8 KiB |  00m00s
[ 96/102] python3-markupsafe-0:3.0.2-5. 100% |  30.8 MiB/s |  31.6 KiB |  00m00s
[ 97/102] python3-mpmath-0:1.3.0-15.fc4 100% |  73.3 MiB/s |   1.1 MiB |  00m00s
[ 98/102] python3-olefile-0:0.47-10.fc4 100% |  18.3 MiB/s |  74.8 KiB |  00m00s
[ 99/102] hdf-libs-0:4.3.0-4.fc43.x86_6 100% |  94.8 MiB/s | 291.3 KiB |  00m00s
[100/102] libtirpc-0:1.3.7-0.fc44.x86_6 100% |  23.0 MiB/s |  94.1 KiB |  00m00s
[101/102] python3-matplotlib-data-fonts 100% |  11.7 MiB/s |   2.3 MiB |  00m00s
[102/102] python3-natsort-0:8.4.0-7.fc4 100% |  82.4 KiB/s |  76.3 KiB |  00m01s
--------------------------------------------------------------------------------
[102/102] Total                         100% |  56.3 MiB/s |  64.8 MiB |  00m01s
Running transaction
[  1/104] Verify package files          100% | 247.0   B/s | 102.0   B |  00m00s
[  2/104] Prepare transaction           100% | 918.0   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% | 419.4 MiB/s |   3.4 MiB |  00m00s
[  5/104] Installing python-rpm-macros- 100% |   0.0   B/s |  28.5 KiB |  00m00s
[  6/104] Installing libjpeg-turbo-0:3. 100% | 391.2 MiB/s | 801.2 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% | 134.0 MiB/s | 960.7 KiB |  00m00s
[ 10/104] Installing tzdata-0:2025b-3.f 100% |  61.0 MiB/s |   1.9 MiB |  00m00s
[ 11/104] Installing libpng-2:1.6.50-2. 100% | 233.4 MiB/s | 239.0 KiB |  00m00s
[ 12/104] Installing pyproject-rpm-macr 100% | 113.7 MiB/s | 116.5 KiB |  00m00s
[ 13/104] Installing hdf5-0:1.14.6-6.fc 100% | 193.4 MiB/s |   6.4 MiB |  00m00s
[ 14/104] Installing dejavu-sans-fonts- 100% | 393.5 MiB/s |   5.5 MiB |  00m00s
[ 15/104] Installing abattis-cantarell- 100% | 189.9 MiB/s | 194.4 KiB |  00m00s
[ 16/104] Installing libtirpc-0:1.3.7-0 100% | 196.0 MiB/s | 200.7 KiB |  00m00s
[ 17/104] Installing hdf-libs-0:4.3.0-4 100% | 336.1 MiB/s | 688.3 KiB |  00m00s
[ 18/104] Installing python-pip-wheel-0 100% | 589.5 MiB/s |   1.2 MiB |  00m00s
[ 19/104] Installing mpdecimal-0:4.0.1- 100% | 213.7 MiB/s | 218.8 KiB |  00m00s
[ 20/104] Installing expat-0:2.7.1-3.fc 100% |  17.0 MiB/s | 296.3 KiB |  00m00s
[ 21/104] Installing python3-libs-0:3.1 100% | 323.2 MiB/s |  43.3 MiB |  00m00s
[ 22/104] Installing python3-0:3.14.0~r 100% |   2.1 MiB/s |  30.7 KiB |  00m00s
[ 23/104] Installing python3-packaging- 100% | 201.8 MiB/s | 620.0 KiB |  00m00s
[ 24/104] Installing python3-idna-0:3.1 100% | 239.9 MiB/s | 737.1 KiB |  00m00s
[ 25/104] Installing python3-urllib3-0: 100% | 222.2 MiB/s |   1.1 MiB |  00m00s
[ 26/104] Installing python3-rpm-genera 100% |  27.0 MiB/s |  82.9 KiB |  00m00s
[ 27/104] Installing python3-babel-0:2. 100% | 338.9 MiB/s |  30.5 MiB |  00m00s
[ 28/104] Installing python3-docutils-0 100% | 168.7 MiB/s |   5.1 MiB |  00m00s
[ 29/104] Installing python3-imagesize- 100% |  12.7 MiB/s |  39.1 KiB |  00m00s
[ 30/104] Installing python3-pygments-0 100% | 216.7 MiB/s |  11.5 MiB |  00m00s
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[ 32/104] Installing python3-snowballst 100% | 309.9 MiB/s |   1.9 MiB |  00m00s
[ 33/104] Installing python3-sphinx-the 100% |  45.5 MiB/s |  46.6 KiB |  00m00s
[ 34/104] Installing python3-iniconfig- 100% |  45.4 MiB/s |  46.5 KiB |  00m00s
[ 35/104] Installing python3-pluggy-0:1 100% | 212.4 MiB/s | 217.5 KiB |  00m00s
[ 36/104] Installing python3-certifi-0: 100% |  10.9 MiB/s |  11.2 KiB |  00m00s
[ 37/104] Installing python3-natsort-0: 100% |  19.1 MiB/s | 273.4 KiB |  00m00s
[ 38/104] Installing python3-charset-no 100% |  27.5 MiB/s | 365.8 KiB |  00m00s
[ 39/104] Installing python3-requests-0 100% | 238.7 MiB/s | 488.9 KiB |  00m00s
[ 40/104] Installing python3-cycler-0:0 100% |  13.1 MiB/s |  40.3 KiB |  00m00s
[ 41/104] Installing python3-fonttools- 100% | 368.8 MiB/s |  19.2 MiB |  00m00s
[ 42/104] Installing python3-kiwisolver 100% | 154.4 MiB/s | 158.1 KiB |  00m00s
[ 43/104] Installing python3-pyparsing- 100% | 343.1 MiB/s |   1.0 MiB |  00m00s
[ 44/104] Installing python3-markupsafe 100% |  32.1 MiB/s |  65.8 KiB |  00m00s
[ 45/104] Installing python3-jinja2-0:3 100% | 309.2 MiB/s |   3.1 MiB |  00m00s
[ 46/104] Installing python3-sphinx-1:8 100% | 207.7 MiB/s |  12.5 MiB |  00m00s
[ 47/104] Installing python3-mpmath-0:1 100% | 224.0 MiB/s |   5.4 MiB |  00m00s
[ 48/104] Installing python3-sympy-0:1. 100% | 321.5 MiB/s |  85.2 MiB |  00m00s
[ 49/104] Installing python3-platformdi 100% |  89.8 MiB/s | 184.0 KiB |  00m00s
[ 50/104] Installing python3-pooch-0:1. 100% | 211.7 MiB/s | 650.4 KiB |  00m00s
[ 51/104] Installing python3-six-0:1.17 100% | 117.5 MiB/s | 120.3 KiB |  00m00s
[ 52/104] Installing python3-dateutil-1 100% | 290.1 MiB/s | 891.1 KiB |  00m00s
[ 53/104] Installing python3-olefile-0: 100% | 341.6 MiB/s | 349.8 KiB |  00m00s
[ 54/104] Installing liblerc-0:4.0.0-9. 100% | 305.5 MiB/s | 625.6 KiB |  00m00s
[ 55/104] Installing jbigkit-libs-0:2.1 100% | 112.7 MiB/s | 115.4 KiB |  00m00s
[ 56/104] Installing libtiff-0:4.7.0-8. 100% | 303.4 MiB/s | 621.3 KiB |  00m00s
[ 57/104] Installing fribidi-0:1.0.16-3 100% |  15.7 MiB/s | 192.8 KiB |  00m00s
[ 58/104] Installing openjpeg-0:2.5.3-8 100% | 223.5 MiB/s | 457.7 KiB |  00m00s
[ 59/104] Installing libimagequant-0:4. 100% | 338.2 MiB/s | 692.5 KiB |  00m00s
[ 60/104] Installing lcms2-0:2.16-6.fc4 100% | 212.6 MiB/s | 435.3 KiB |  00m00s
[ 61/104] Installing python3-matplotlib 100% | 395.7 MiB/s |   7.9 MiB |  00m00s
[ 62/104] Installing google-noto-fonts- 100% |   0.0   B/s |  18.5 KiB |  00m00s
[ 63/104] Installing google-noto-sans-v 100% | 347.8 MiB/s |   1.4 MiB |  00m00s
[ 64/104] Installing default-fonts-core 100% |  17.8 MiB/s |  18.2 KiB |  00m00s
[ 65/104] Installing libXau-0:1.0.12-3. 100% |  72.7 MiB/s |  74.5 KiB |  00m00s
[ 66/104] Installing libxcb-0:1.17.0-6. 100% | 216.0 MiB/s |   1.1 MiB |  00m00s
[ 67/104] Installing libX11-common-0:1. 100% | 169.7 MiB/s |   1.2 MiB |  00m00s
[ 68/104] Installing libX11-0:1.8.12-1. 100% | 427.2 MiB/s |   1.3 MiB |  00m00s
[ 69/104] Installing libXext-0:1.3.6-4. 100% |   0.0   B/s |  91.2 KiB |  00m00s
[ 70/104] Installing libXrender-0:0.9.1 100% |   9.2 MiB/s |  47.3 KiB |  00m00s
[ 71/104] Installing xml-common-0:0.6.3 100% |  79.2 MiB/s |  81.1 KiB |  00m00s
[ 72/104] Installing pixman-0:0.46.2-2. 100% | 347.4 MiB/s | 711.4 KiB |  00m00s
[ 73/104] Installing lzo-0:2.10-15.fc43 100% | 176.3 MiB/s | 180.5 KiB |  00m00s
[ 74/104] Installing openblas-0:0.3.29- 100% | 110.8 MiB/s | 113.5 KiB |  00m00s
[ 75/104] Installing openblas-openmp-0: 100% | 633.1 MiB/s |  43.7 MiB |  00m00s
[ 76/104] Installing graphite2-0:1.3.14 100% |  12.6 MiB/s | 193.9 KiB |  00m00s
[ 77/104] Installing glib2-0:2.85.4-1.f 100% | 320.6 MiB/s |  14.7 MiB |  00m00s
[ 78/104] Installing freetype-0:2.13.3- 100% | 277.3 MiB/s | 851.9 KiB |  00m00s
[ 79/104] Installing harfbuzz-0:11.4.4- 100% | 406.1 MiB/s |   2.8 MiB |  00m00s
[ 80/104] Installing libraqm-0:0.10.1-3 100% |  29.0 MiB/s |  29.7 KiB |  00m00s
[ 81/104] Installing python3-pillow-0:1 100% | 331.1 MiB/s |   4.3 MiB |  00m00s
[ 82/104] Installing fontconfig-0:2.17. 100% | 756.6 KiB/s | 785.3 KiB |  00m01s
[ 83/104] Installing cairo-0:1.18.4-2.f 100% | 295.3 MiB/s |   1.8 MiB |  00m00s
[ 84/104] Installing python3-cairo-0:1. 100% | 242.4 MiB/s | 496.4 KiB |  00m00s
[ 85/104] Installing libqhull_r-1:8.0.2 100% | 236.4 MiB/s | 484.1 KiB |  00m00s
[ 86/104] Installing libquadmath-0:15.2 100% | 311.7 MiB/s | 319.2 KiB |  00m00s
[ 87/104] Installing flexiblas-openblas 100% |   0.0   B/s |  40.1 KiB |  00m00s
[ 88/104] Installing flexiblas-netlib-0 100% | 280.0 MiB/s |  10.9 MiB |  00m00s
[ 89/104] Installing flexiblas-0:3.4.5- 100% |  16.8 MiB/s |  51.6 KiB |  00m00s
[ 90/104] Installing python3-numpy-1:2. 100% | 352.7 MiB/s |  41.6 MiB |  00m00s
[ 91/104] Installing python3-numpy-f2py 100% |  80.4 MiB/s |   2.2 MiB |  00m00s
[ 92/104] Installing python3-scipy-0:1. 100% | 388.7 MiB/s |  69.2 MiB |  00m00s
[ 93/104] Installing python3-cftime-0:1 100% | 190.5 MiB/s | 585.3 KiB |  00m00s
[ 94/104] Installing python3-contourpy- 100% | 141.5 MiB/s | 869.5 KiB |  00m00s
[ 95/104] Installing python3-matplotlib 100% | 419.3 MiB/s |  31.9 MiB |  00m00s
[ 96/104] Installing snappy-0:1.2.2-2.f 100% |  71.8 MiB/s |  73.5 KiB |  00m00s
[ 97/104] Installing blosc-0:1.21.6-7.f 100% | 126.0 MiB/s | 129.0 KiB |  00m00s
[ 98/104] Installing libzip-0:1.11.4-2. 100% | 133.7 MiB/s | 137.0 KiB |  00m00s
[ 99/104] Installing netcdf-0:4.9.3-1.f 100% | 123.2 MiB/s |   2.5 MiB |  00m00s
[100/104] Installing python3-netcdf4-0: 100% | 330.3 MiB/s |   2.3 MiB |  00m00s
[101/104] Installing python3-boutdata-0 100% |  71.0 MiB/s |   1.2 MiB |  00m00s
[102/104] Installing python3-sphinx-aut 100% |  43.6 MiB/s | 133.9 KiB |  00m00s
[103/104] Installing python3-pytest-0:8 100% | 369.4 MiB/s |  21.8 MiB |  00m00s
[104/104] Installing python3-devel-0:3. 100% |  16.6 MiB/s |   2.0 MiB |  00m00s
Warning: skipped OpenPGP checks for 15 packages from repository: copr_base
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.vEWOWE
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.2FpRFI
+ 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.MJ7kH9
+ 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% |  20.4 KiB/s |   1.6 KiB |  00m00s
 fedora                                 100% | 147.3 KiB/s |  27.3 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.3-2.fc43.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-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.

Package                      Arch   Version          Repository      Size
Installing:
 python3-pip                 noarch 25.2-2.fc44      copr_base   11.3 MiB
 python3-setuptools          noarch 78.1.1-12.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

Total size of inbound packages is 5 MiB. Need to download 2 MiB.
After this operation, 21 MiB extra will be used (install 21 MiB, remove 0 B).
[1/5] python3-pip-0:25.2-2.fc44.noarch  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[2/5] python3-setuptools_scm-0:8.3.1-7. 100% |   9.9 MiB/s | 121.5 KiB |  00m00s
[3/5] python3-setuptools_scm+toml-0:8.3 100% | 810.3 KiB/s |   9.7 KiB |  00m00s
[4/5] python3-wheel-1:0.45.1-17.fc44.no 100% |  25.4 MiB/s | 182.1 KiB |  00m00s
[5/5] python3-setuptools-0:78.1.1-12.fc 100% |  85.6 MiB/s |   2.1 MiB |  00m00s
--------------------------------------------------------------------------------
[5/5] Total                             100% |  84.3 MiB/s |   2.4 MiB |  00m00s
Running transaction
[1/7] Verify package files              100% | 277.0   B/s |   5.0   B |  00m00s
[2/7] Prepare transaction               100% | 151.0   B/s |   5.0   B |  00m00s
[3/7] Installing python3-setuptools-0:7 100% | 214.4 MiB/s |   9.2 MiB |  00m00s
[4/7] Installing python3-setuptools_scm 100% | 121.9 MiB/s | 374.4 KiB |  00m00s
[5/7] Installing python3-setuptools_scm 100% |   0.0   B/s | 124.0   B |  00m00s
[6/7] Installing python3-wheel-1:0.45.1 100% |  33.3 MiB/s | 613.1 KiB |  00m00s
[7/7] Installing python3-pip-0:25.2-2.f 100% | 137.2 MiB/s |  11.5 MiB |  00m00s
Warning: skipped OpenPGP checks for 1 package from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.WTOBYX
+ 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 3.10.5)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: animatplot-ng>=0.4.2
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.3.0)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.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% |  20.4 KiB/s |   1.6 KiB |  00m00s
 fedora                                 100% | 199.0 KiB/s |  27.3 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.3-2.fc43.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-78.1.1-12.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 8.2.2-5.fc44           copr_base    1.2 MiB
 python3-cloudpickle noarch 3.1.1-6.fc44           fedora     129.3 KiB
 python3-fsspec      noarch 2025.7.0-1.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 copr_base   41.5 MiB
 python3-partd       noarch 1.4.2-7.fc44           fedora     166.8 KiB
 python3-pytz        noarch 2025.2-4.fc44          copr_base  224.0 KiB
 python3-pyyaml      x86_64 6.0.2-6.fc44           copr_base  793.4 KiB
 python3-toolz       noarch 1.0.0-5.fc44           copr_base  618.0 KiB

Transaction Summary:
 Installing:        15 packages

Total size of inbound packages is 16 MiB. Need to download 5 MiB.
After this operation, 87 MiB extra will be used (install 87 MiB, remove 0 B).
[ 1/15] python3-xarray-0:2025.4.0-2.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 2/15] python3-pandas-0:2.2.3-5.fc43~b 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 3/15] python3-pytz-0:2025.2-4.fc44.no 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 4/15] python3-dask+array-0:2025.4.1-5 100% | 948.4 KiB/s |  12.3 KiB |  00m00s
[ 5/15] python3-dask-0:2025.4.1-5.fc44. 100% | 142.4 MiB/s |   3.7 MiB |  00m00s
[ 6/15] python3-animatplot-0:0.4.5-3.fc 100% | 749.8 KiB/s |  56.2 KiB |  00m00s
[ 7/15] python3-gelidum-0:0.7.0-9.fc44. 100% | 879.2 KiB/s |  57.1 KiB |  00m00s
[ 8/15] python3-cloudpickle-0:3.1.1-6.f 100% |  15.7 MiB/s |  48.1 KiB |  00m00s
[ 9/15] python3-fsspec-0:2025.7.0-1.fc4 100% | 113.3 MiB/s | 464.2 KiB |  00m00s
[10/15] python3-partd-0:1.4.2-7.fc44.no 100% |  15.4 MiB/s |  63.1 KiB |  00m00s
[11/15] libyaml-0:0.2.5-17.fc43.x86_64  100% |  19.6 MiB/s |  60.1 KiB |  00m00s
[12/15] python3-pyyaml-0:6.0.2-6.fc44.x 100% |   3.7 MiB/s | 225.8 KiB |  00m00s
[13/15] python3-locket-0:1.0.0-17.fc44. 100% |   5.9 MiB/s |  18.0 KiB |  00m00s
[14/15] python3-click-0:8.2.2-5.fc44.no 100% | 222.2 KiB/s | 254.8 KiB |  00m01s
[15/15] python3-toolz-0:1.0.0-5.fc44.no 100% | 142.8 KiB/s | 159.2 KiB |  00m01s
--------------------------------------------------------------------------------
[15/15] Total                           100% |   4.2 MiB/s |   5.1 MiB |  00m01s
Running transaction
[ 1/17] Verify package files            100% | 250.0   B/s |  15.0   B |  00m00s
[ 2/17] Prepare transaction             100% | 319.0   B/s |  15.0   B |  00m00s
[ 3/17] Installing python3-toolz-0:1.0. 100% | 155.7 MiB/s | 637.6 KiB |  00m00s
[ 4/17] Installing python3-locket-0:1.0 100% |  22.9 MiB/s |  23.4 KiB |  00m00s
[ 5/17] Installing python3-partd-0:1.4. 100% |  86.0 MiB/s | 176.2 KiB |  00m00s
[ 6/17] Installing python3-pytz-0:2025. 100% |  74.7 MiB/s | 229.4 KiB |  00m00s
[ 7/17] Installing python3-pandas-0:2.2 100% | 389.9 MiB/s |  41.7 MiB |  00m00s
[ 8/17] Installing libyaml-0:0.2.5-17.f 100% | 132.8 MiB/s | 136.0 KiB |  00m00s
[ 9/17] Installing python3-pyyaml-0:6.0 100% | 197.1 MiB/s | 807.4 KiB |  00m00s
[10/17] Installing python3-fsspec-0:202 100% | 275.4 MiB/s |   1.9 MiB |  00m00s
[11/17] Installing python3-cloudpickle- 100% | 130.0 MiB/s | 133.2 KiB |  00m00s
[12/17] Installing python3-click-0:8.2. 100% | 207.8 MiB/s |   1.2 MiB |  00m00s
[13/17] Installing python3-dask-0:2025. 100% | 275.8 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% | 418.3 MiB/s |  20.1 MiB |  00m00s
[16/17] Installing python3-gelidum-0:0. 100% |  66.2 MiB/s | 135.6 KiB |  00m00s
[17/17] Installing python3-animatplot-0 100% |   5.5 MiB/s | 124.5 KiB |  00m00s
Warning: skipped OpenPGP checks for 5 packages from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.2niMUt
+ 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 3.10.5)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.5)
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% |  23.1 KiB/s |   1.6 KiB |  00m00s
 fedora                                 100% | 211.3 KiB/s |  27.3 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.3-2.fc43.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-78.1.1-12.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.NV3o6U
+ 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 3.10.5)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.5)
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.ZRZdLM
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd xbout-0.3.6
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir
Processing /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  /usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

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

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

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

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

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

          License :: OSI Approved :: Apache Software License

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

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

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

          License :: OSI Approved :: Apache Software License

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

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

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

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

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

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

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

          License :: OSI Approved :: Apache Software License

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

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

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

          License :: OSI Approved :: Apache Software License

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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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


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

  !!
    check.warn(importable)
  creating build/lib/xbout/tests
  copying xbout/tests/__init__.py -> build/lib/xbout/tests
  copying xbout/tests/conftest.py -> build/lib/xbout/tests
  copying xbout/tests/test_against_collect.py -> build/lib/xbout/tests
  copying xbout/tests/test_animate.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataarray.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataset.py -> build/lib/xbout/tests
  copying xbout/tests/test_fastoutput.py -> build/lib/xbout/tests
  copying xbout/tests/test_geometries.py -> build/lib/xbout/tests
  copying xbout/tests/test_grid.py -> build/lib/xbout/tests
  copying xbout/tests/test_init.py -> build/lib/xbout/tests
  copying xbout/tests/test_load.py -> build/lib/xbout/tests
  copying xbout/tests/test_plot.py -> build/lib/xbout/tests
  copying xbout/tests/test_region.py -> build/lib/xbout/tests
  copying xbout/tests/test_utils.py -> build/lib/xbout/tests
  copying xbout/tests/utils_for_tests.py -> build/lib/xbout/tests
  creating build/lib/xbout/tests/data/options
  copying xbout/tests/data/options/BOUT.inp -> build/lib/xbout/tests/data/options
  creating build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.0.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.1.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/README.md -> build/lib/xbout/tests/data/restart
  creating build/lib/xbout/tests/inputs
  copying xbout/tests/inputs/s-alpha.inp -> build/lib/xbout/tests/inputs
  creating build/lib/xbout/calc/tests
  copying xbout/calc/tests/test_turbulence.py -> build/lib/xbout/calc/tests
  installing to build/bdist.linux-x86_64/wheel
  running install
  running install_lib
  creating build/bdist.linux-x86_64/wheel
  creating build/bdist.linux-x86_64/wheel/xbout
  creating build/bdist.linux-x86_64/wheel/xbout/tests
  creating build/bdist.linux-x86_64/wheel/xbout/tests/inputs
  copying build/lib/xbout/tests/inputs/s-alpha.inp -> build/bdist.linux-x86_64/wheel/./xbout/tests/inputs
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/README.md -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/BOUT.restart.1.nc -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/BOUT.restart.0.nc -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data/options
  copying build/lib/xbout/tests/data/options/BOUT.inp -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/options
  copying build/lib/xbout/tests/utils_for_tests.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_utils.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_region.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_plot.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_load.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_init.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_grid.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_geometries.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_fastoutput.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_boutdataset.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_boutdataarray.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_animate.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_against_collect.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/conftest.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  creating build/bdist.linux-x86_64/wheel/xbout/plotting
  copying build/lib/xbout/plotting/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/animate.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/plotfuncs.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/utils.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  creating build/bdist.linux-x86_64/wheel/xbout/calc
  creating build/bdist.linux-x86_64/wheel/xbout/calc/tests
  copying build/lib/xbout/calc/tests/test_turbulence.py -> build/bdist.linux-x86_64/wheel/./xbout/calc/tests
  copying build/lib/xbout/calc/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/calc
  copying build/lib/xbout/calc/turbulence.py -> build/bdist.linux-x86_64/wheel/./xbout/calc
  copying build/lib/xbout/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/_version.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/boutdataarray.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/boutdataset.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/conftest.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/fastoutput.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/geometries.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/load.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/region.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/utils.py -> build/bdist.linux-x86_64/wheel/./xbout
  running install_egg_info
  Copying xbout.egg-info to build/bdist.linux-x86_64/wheel/./xbout-0.3.6-py3.14.egg-info
  running install_scripts
  creating build/bdist.linux-x86_64/wheel/xbout-0.3.6.dist-info/WHEEL
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-wheel-7t3nckj4/.tmp-2lzl8w0s/xbout-0.3.6-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
  adding 'xbout/__init__.py'
  adding 'xbout/_version.py'
  adding 'xbout/boutdataarray.py'
  adding 'xbout/boutdataset.py'
  adding 'xbout/conftest.py'
  adding 'xbout/fastoutput.py'
  adding 'xbout/geometries.py'
  adding 'xbout/load.py'
  adding 'xbout/region.py'
  adding 'xbout/utils.py'
  adding 'xbout/calc/__init__.py'
  adding 'xbout/calc/turbulence.py'
  adding 'xbout/calc/tests/test_turbulence.py'
  adding 'xbout/plotting/__init__.py'
  adding 'xbout/plotting/animate.py'
  adding 'xbout/plotting/plotfuncs.py'
  adding 'xbout/plotting/utils.py'
  adding 'xbout/tests/__init__.py'
  adding 'xbout/tests/conftest.py'
  adding 'xbout/tests/test_against_collect.py'
  adding 'xbout/tests/test_animate.py'
  adding 'xbout/tests/test_boutdataarray.py'
  adding 'xbout/tests/test_boutdataset.py'
  adding 'xbout/tests/test_fastoutput.py'
  adding 'xbout/tests/test_geometries.py'
  adding 'xbout/tests/test_grid.py'
  adding 'xbout/tests/test_init.py'
  adding 'xbout/tests/test_load.py'
  adding 'xbout/tests/test_plot.py'
  adding 'xbout/tests/test_region.py'
  adding 'xbout/tests/test_utils.py'
  adding 'xbout/tests/utils_for_tests.py'
  adding 'xbout/tests/data/options/BOUT.inp'
  adding 'xbout/tests/data/restart/BOUT.restart.0.nc'
  adding 'xbout/tests/data/restart/BOUT.restart.1.nc'
  adding 'xbout/tests/data/restart/README.md'
  adding 'xbout/tests/inputs/s-alpha.inp'
  adding 'xbout-0.3.6.dist-info/licenses/LICENSE'
  adding 'xbout-0.3.6.dist-info/METADATA'
  adding 'xbout-0.3.6.dist-info/WHEEL'
  adding 'xbout-0.3.6.dist-info/top_level.txt'
  adding 'xbout-0.3.6.dist-info/RECORD'
  removing build/bdist.linux-x86_64/wheel
  Building wheel for xbout (pyproject.toml): finished with status 'done'
  Created wheel for xbout: filename=xbout-0.3.6-py3-none-any.whl size=140106 sha256=575abd49520344d3a4fb9bcb9d2eee9b5fd17be61f895b0028993f92e53f1c71
  Stored in directory: /builddir/.cache/pip/wheels/08/3c/3b/a041473b714187cd781301a93e81a37e416c8f0a7d803d2588
Successfully built xbout
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
+ sphinx-build-3 docs html
Running Sphinx v8.2.3
loading translations [en]... done
making output directory... done
Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`.
[autosummary] generating autosummary for: accessor_methods.rst, api.rst, extending_xbout.rst, index.rst, loading_data.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.utils.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.BoutDataArrayAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.BoutDatasetAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_addoption.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_collection_modifyitems.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_configure.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.open_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.UnregisteredGeometryError.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_fci_geometry_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_s_alpha_geometry_coords.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_grid.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_init.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rms.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_line.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_pcolormesh.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_poloidal.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot2d_wrapper.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot3d.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot_regions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrices.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrix.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_targets.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_check_extensions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_set_fci_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.TestPlot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.TestRegion.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.TestUtils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds_list.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_grid_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.load_example_input.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.set_geometry_from_input_file.rst
loading intersphinx inventory 'python' from https://docs.python.org/3/objects.inv ...
loading intersphinx inventory 'numpy' from https://numpy.org/doc/stable/objects.inv ...
loading intersphinx inventory 'scipy' from https://docs.scipy.org/doc/scipy/objects.inv ...
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.python.org/3/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.python.org', port=443): Max retries exceeded with url: /3/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f51727ca120>: Failed to resolve 'docs.python.org' ([Errno -3] Temporary failure in name resolution)"))
loading intersphinx inventory 'xarray' from https://docs.xarray.dev/en/latest/objects.inv ...
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.scipy.org/doc/scipy/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.scipy.org', port=443): Max retries exceeded with url: /doc/scipy/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f5172872350>: Failed to resolve 'docs.scipy.org' ([Errno -3] Temporary failure in name resolution)"))
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://numpy.org/doc/stable/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='numpy.org', port=443): Max retries exceeded with url: /doc/stable/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f5172870550>: Failed to resolve 'numpy.org' ([Errno -3] Temporary failure in name resolution)"))
loading intersphinx inventory 'mayavi' from https://docs.enthought.com/mayavi/mayavi/objects.inv ...
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.xarray.dev/en/latest/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.xarray.dev', port=443): Max retries exceeded with url: /en/latest/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f517301fb10>: Failed to resolve 'docs.xarray.dev' ([Errno -3] Temporary failure in name resolution)"))
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.enthought.com/mayavi/mayavi/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.enthought.com', port=443): Max retries exceeded with url: /mayavi/mayavi/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f51735dde50>: Failed to resolve 'docs.enthought.com' ([Errno -3] Temporary failure in name resolution)"))
building [mo]: targets for 0 po files that are out of date
writing output... 
building [html]: targets for 5 source files that are out of date
updating environment: [new config] 105 added, 0 changed, 0 removed
reading sources... [  1%] accessor_methods
reading sources... [  2%] api
reading sources... [  3%] extending_xbout
reading sources... [  4%] generated/xbout
reading sources... [  5%] generated/xbout.boutdataarray
reading sources... [  6%] generated/xbout.boutdataarray.BoutDataArrayAccessor
reading sources... [  7%] generated/xbout.boutdataset
reading sources... [  8%] generated/xbout.boutdataset.BoutDatasetAccessor
reading sources... [  9%] generated/xbout.calc
reading sources... [ 10%] generated/xbout.calc.turbulence
reading sources... [ 10%] generated/xbout.calc.turbulence.rms
reading sources... [ 11%] generated/xbout.conftest
reading sources... [ 12%] generated/xbout.conftest.pytest_addoption
reading sources... [ 13%] generated/xbout.conftest.pytest_collection_modifyitems
reading sources... [ 14%] generated/xbout.conftest.pytest_configure
reading sources... [ 15%] generated/xbout.fastoutput
reading sources... [ 16%] generated/xbout.fastoutput.open_fastoutput
reading sources... [ 17%] generated/xbout.geometries
reading sources... [ 18%] generated/xbout.geometries.UnregisteredGeometryError
reading sources... [ 19%] generated/xbout.geometries.add_fci_geometry_coords
reading sources... [ 20%] generated/xbout.geometries.add_s_alpha_geometry_coords
reading sources... [ 21%] generated/xbout.geometries.add_toroidal_geometry_coords
reading sources... [ 22%] generated/xbout.geometries.apply_geometry
reading sources... [ 23%] generated/xbout.geometries.register_geometry
reading sources... [ 24%] generated/xbout.load
reading sources... [ 25%] generated/xbout.load.collect
reading sources... [ 26%] generated/xbout.load.open_boutdataset
reading sources... [ 27%] generated/xbout.plotting
reading sources... [ 28%] generated/xbout.plotting.animate
reading sources... [ 29%] generated/xbout.plotting.animate.animate_line
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reading sources... [ 31%] generated/xbout.plotting.plotfuncs
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reading sources... [ 33%] generated/xbout.plotting.plotfuncs.plot3d
reading sources... [ 34%] generated/xbout.plotting.plotfuncs.plot_regions
reading sources... [ 35%] generated/xbout.plotting.utils
reading sources... [ 36%] generated/xbout.plotting.utils.plot_separatrices
reading sources... [ 37%] generated/xbout.plotting.utils.plot_separatrix
reading sources... [ 38%] generated/xbout.plotting.utils.plot_targets
reading sources... [ 39%] generated/xbout.region
reading sources... [ 40%] generated/xbout.region.Region
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reading sources... [ 53%] generated/xbout.tests.test_against_collect
reading sources... [ 54%] generated/xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect
reading sources... [ 55%] generated/xbout.tests.test_against_collect.test_speed_against_old_collect
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reading sources... [ 57%] generated/xbout.tests.test_animate.TestAnimate
reading sources... [ 58%] generated/xbout.tests.test_animate.create_test_file
reading sources... [ 59%] generated/xbout.tests.test_boutdataarray
reading sources... [ 60%] generated/xbout.tests.test_boutdataarray.TestBoutDataArrayMethods
reading sources... [ 61%] generated/xbout.tests.test_boutdataset
reading sources... [ 62%] generated/xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset
reading sources... [ 63%] generated/xbout.tests.test_boutdataset.TestBoutDatasetMethods
reading sources... [ 64%] generated/xbout.tests.test_boutdataset.TestLoadInputFile
reading sources... [ 65%] generated/xbout.tests.test_boutdataset.TestLoadLogFile
reading sources... [ 66%] generated/xbout.tests.test_boutdataset.TestSave
reading sources... [ 67%] generated/xbout.tests.test_boutdataset.TestSaveRestart
reading sources... [ 68%] generated/xbout.tests.test_fastoutput
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reading sources... [ 99%] index
reading sources... [100%] loading_data

looking for now-outdated files... none found
pickling environment... done
checking consistency... done
preparing documents... WARNING: unsupported theme option 'repository_url' given
WARNING: unsupported theme option 'repository_branch' given
WARNING: unsupported theme option 'path_to_docs' given
WARNING: unsupported theme option 'use_edit_page_button' given
WARNING: unsupported theme option 'use_repository_button' given
WARNING: unsupported theme option 'use_issues_button' given
WARNING: unsupported theme option 'home_page_in_toc' given
done
copying assets... 
copying static files... 
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/language_data.js
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/documentation_options.js
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/basic.css
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/alabaster.css
copying static files: done
copying extra files... 
copying extra files: done
copying assets: done
writing output... [  1%] accessor_methods
writing output... [  2%] api
writing output... [  3%] extending_xbout
writing output... [  4%] generated/xbout
writing output... [  5%] generated/xbout.boutdataarray
writing output... [  6%] generated/xbout.boutdataarray.BoutDataArrayAccessor
writing output... [  7%] generated/xbout.boutdataset
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writing output... [ 11%] generated/xbout.conftest
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writing output... [ 17%] generated/xbout.geometries
writing output... [ 18%] generated/xbout.geometries.UnregisteredGeometryError
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writing output... [ 22%] generated/xbout.geometries.apply_geometry
writing output... [ 23%] generated/xbout.geometries.register_geometry
writing output... [ 24%] generated/xbout.load
writing output... [ 25%] generated/xbout.load.collect
writing output... [ 26%] generated/xbout.load.open_boutdataset
writing output... [ 27%] generated/xbout.plotting
writing output... [ 28%] generated/xbout.plotting.animate
writing output... [ 29%] generated/xbout.plotting.animate.animate_line
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writing output... [ 30%] generated/xbout.plotting.animate.animate_poloidal
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writing output... [ 32%] generated/xbout.plotting.plotfuncs.plot2d_wrapper
writing output... [ 33%] generated/xbout.plotting.plotfuncs.plot3d
writing output... [ 34%] generated/xbout.plotting.plotfuncs.plot_regions
writing output... [ 35%] generated/xbout.plotting.utils
writing output... [ 36%] generated/xbout.plotting.utils.plot_separatrices
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writing output... [ 39%] generated/xbout.region
writing output... [ 40%] generated/xbout.region.Region
writing output... [ 41%] generated/xbout.region.topology_connected_double_null
writing output... [ 42%] generated/xbout.region.topology_core
writing output... [ 43%] generated/xbout.region.topology_limiter
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writing output... [ 45%] generated/xbout.region.topology_single_null
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writing output... [ 49%] generated/xbout.tests
writing output... [ 50%] generated/xbout.tests.conftest
writing output... [ 50%] generated/xbout.tests.conftest.bout_xyt_example_files
writing output... [ 51%] generated/xbout.tests.conftest.create_example_files_fci
writing output... [ 52%] generated/xbout.tests.conftest.create_example_grid_file_fci
writing output... [ 53%] generated/xbout.tests.test_against_collect
writing output... [ 54%] generated/xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect
writing output... [ 55%] generated/xbout.tests.test_against_collect.test_speed_against_old_collect
writing output... [ 56%] generated/xbout.tests.test_animate
writing output... [ 57%] generated/xbout.tests.test_animate.TestAnimate
writing output... [ 58%] generated/xbout.tests.test_animate.create_test_file
writing output... [ 59%] generated/xbout.tests.test_boutdataarray
writing output... [ 60%] generated/xbout.tests.test_boutdataarray.TestBoutDataArrayMethods
writing output... [ 61%] generated/xbout.tests.test_boutdataset
writing output... [ 62%] generated/xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset
writing output... [ 63%] generated/xbout.tests.test_boutdataset.TestBoutDatasetMethods
writing output... [ 64%] generated/xbout.tests.test_boutdataset.TestLoadInputFile
writing output... [ 65%] generated/xbout.tests.test_boutdataset.TestLoadLogFile
writing output... [ 66%] generated/xbout.tests.test_boutdataset.TestSave
writing output... [ 67%] generated/xbout.tests.test_boutdataset.TestSaveRestart
writing output... [ 68%] generated/xbout.tests.test_fastoutput
writing output... [ 69%] generated/xbout.tests.test_fastoutput.TestFastOutput
writing output... [ 70%] generated/xbout.tests.test_fastoutput.make_fastoutput
writing output... [ 70%] generated/xbout.tests.test_fastoutput.make_fastoutput_set
writing output... [ 71%] generated/xbout.tests.test_geometries
writing output... [ 72%] generated/xbout.tests.test_geometries.TestGeometryRegistration
writing output... [ 73%] generated/xbout.tests.test_grid
writing output... [ 74%] generated/xbout.tests.test_grid.TestOpenGrid
writing output... [ 75%] generated/xbout.tests.test_grid.create_example_grid_file
writing output... [ 76%] generated/xbout.tests.test_init
writing output... [ 77%] generated/xbout.tests.test_init.test_version
writing output... [ 78%] generated/xbout.tests.test_load
writing output... [ 79%] generated/xbout.tests.test_load.TestArrange
writing output... [ 80%] generated/xbout.tests.test_load.TestOpen
writing output... [ 81%] generated/xbout.tests.test_load.TestPathHandling
writing output... [ 82%] generated/xbout.tests.test_load.TestStripMetadata
writing output... [ 83%] generated/xbout.tests.test_load.TestTrim
writing output... [ 84%] generated/xbout.tests.test_load.create_filepaths
writing output... [ 85%] generated/xbout.tests.test_load.test_check_extensions
writing output... [ 86%] generated/xbout.tests.test_load.test_set_fci_coords
writing output... [ 87%] generated/xbout.tests.test_plot
writing output... [ 88%] generated/xbout.tests.test_plot.TestPlot
writing output... [ 89%] generated/xbout.tests.test_region
writing output... [ 90%] generated/xbout.tests.test_region.TestRegion
writing output... [ 90%] generated/xbout.tests.test_utils
writing output... [ 91%] generated/xbout.tests.test_utils.TestUtils
writing output... [ 92%] generated/xbout.tests.utils_for_tests
writing output... [ 93%] generated/xbout.tests.utils_for_tests.create_bout_ds
writing output... [ 94%] generated/xbout.tests.utils_for_tests.create_bout_ds_list
writing output... [ 95%] generated/xbout.tests.utils_for_tests.create_bout_grid_ds
writing output... [ 96%] generated/xbout.tests.utils_for_tests.load_example_input
writing output... [ 97%] generated/xbout.tests.utils_for_tests.set_geometry_from_input_file
writing output... [ 98%] generated/xbout.utils
writing output... [ 99%] index
writing output... [100%] loading_data

/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.Dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.DataArray [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:3: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:14: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:16: WARNING: 'any' reference target not found: scipy.interpolate.RegularGridInterpolator [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.integrate_midpoints:36: WARNING: 'any' reference target not found: ... [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:3: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:18: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:21: WARNING: 'any' reference target not found: scipy.interpolate.RegularGridInterpolator [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:20: WARNING: 'any' reference target not found: xarray.open_dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:94: WARNING: 'any' reference target not found: xarray.open_mfdataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:94: WARNING: 'any' reference target not found: xarray.open_dataset [ref.any]
generating indices... /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/plotting/plotfuncs.py:docstring of xbout.plotting.plotfuncs.plot2d_wrapper:3: WARNING: 'any' reference target not found: xarray.DataArray.plot [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/plotting/plotfuncs.py:docstring of xbout.plotting.plotfuncs.plot3d:68: WARNING: 'any' reference target not found: mayavi.mlab.view [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/loading_data.rst:12: WARNING: 'any' reference target not found: xarray.Dataset [ref.any]
genindex py-modindex done
highlighting module code... [  4%] xbout.boutdataarray
highlighting module code... [  8%] xbout.boutdataset
highlighting module code... [ 12%] xbout.calc.turbulence
highlighting module code... [ 16%] xbout.conftest
highlighting module code... [ 20%] xbout.fastoutput
highlighting module code... [ 24%] xbout.geometries
highlighting module code... [ 28%] xbout.load
highlighting module code... [ 32%] xbout.plotting.animate
highlighting module code... [ 36%] xbout.plotting.plotfuncs
highlighting module code... [ 40%] xbout.plotting.utils
highlighting module code... [ 44%] xbout.region
highlighting module code... [ 48%] xbout.tests.conftest
highlighting module code... [ 52%] xbout.tests.test_against_collect
highlighting module code... [ 56%] xbout.tests.test_animate
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highlighting module code... [ 68%] xbout.tests.test_fastoutput
highlighting module code... [ 72%] xbout.tests.test_geometries
highlighting module code... [ 76%] xbout.tests.test_grid
highlighting module code... [ 80%] xbout.tests.test_init
highlighting module code... [ 84%] xbout.tests.test_load
highlighting module code... [ 88%] xbout.tests.test_plot
highlighting module code... [ 92%] xbout.tests.test_region
highlighting module code... [ 96%] xbout.tests.test_utils
highlighting module code... [100%] xbout.tests.utils_for_tests

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

dumping search index in English (code: en)... done
dumping object inventory... done
build succeeded, 29 warnings.

The HTML pages are in html.
+ rm -rf html/.doctrees html/.buildinfo
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.yeJUzb
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ '[' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
++ dirname /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build
+ mkdir /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd xbout-0.3.6
++ ls /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir/xbout-0.3.6-py3-none-any.whl
++ xargs basename --multiple
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
+ specifier=xbout==0.3.6
+ '[' -z xbout==0.3.6 ']'
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir xbout==0.3.6
Using pip 25.2 from /usr/lib/python3.14/site-packages/pip (python 3.14)
Looking in links: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir
Processing ./pyproject-wheeldir/xbout-0.3.6-py3-none-any.whl
Installing collected packages: xbout
Successfully installed xbout-0.3.6
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.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 -j4
Bytecompiling .py files below /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14 using python3.14
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/utils.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/load.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/region.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/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__/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__/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__/fastoutput.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/_version.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/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__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-314.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__/utils_for_tests.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/boutdataarray.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_utils.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_utils.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_region.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_load.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_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_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_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_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_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_grid.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_geometries.cpython-314.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_load.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_animate.cpython-314.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__/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__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/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/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/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/plotting/__pycache__/animate.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/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__/plotfuncs.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.JlVA1Z
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd xbout-0.3.6
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ PATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.14/site-packages:/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages
+ PYTHONDONTWRITEBYTECODE=1
+ PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir'
+ PYTEST_XDIST_AUTO_NUM_WORKERS=4
+ /usr/bin/pytest xbout --long --durations=0
============================= test session starts ==============================
platform linux -- Python 3.14.0rc2, pytest-8.3.5, pluggy-1.6.0
rootdir: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
configfile: pyproject.toml
collected 796 items

xbout/calc/tests/test_turbulence.py .....                                [  0%]
xbout/tests/test_against_collect.py FFFFF...                             [  1%]
xbout/tests/test_animate.py EEEEEEEEEEEEEEEEEEEEEEEsEEEEEEEEEEEEEEE      [  6%]
xbout/tests/test_boutdataarray.py FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 11%]
FFFFFFFFFFFFFFFFFF                                                       [ 13%]
xbout/tests/test_boutdataset.py FFFFFFFFFFFFFFFFFFFFFF.FFFFFFFFFFFFFFFFF [ 18%]
FFFFFFFFFFFFFFFFFFFFFFFFFFssFFFFFFFFFFFFFFFFFF.                          [ 24%]
xbout/tests/test_fastoutput.py .                                         [ 24%]
xbout/tests/test_geometries.py ..                                        [ 24%]
xbout/tests/test_grid.py .....                                           [ 25%]
xbout/tests/test_init.py .                                               [ 25%]
xbout/tests/test_load.py ..........................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 0x7fe6a0fc6fd0>, _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 0x7fe69e30b580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e2d3fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe6a01a4820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e5a7f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e6dad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e56e4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e1bc940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e61b040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69ea3b100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69fee2920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69fb8ee00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e4e89a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e9a1cc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe6a0145960>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e309360>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e1bc7c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e645b40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe6a01528c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e8eae60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69fe9c580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e2d84c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69eaacc40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e873b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e497880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69ff5a020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e8ebb80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e5154e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e28f9a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e9a3a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe6a0152740>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e6455a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e833220>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e662ec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e885d80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e1f2d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69ea8b7c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe69e0949a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0fc6fd0>, _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 0x7fe6a0118c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0640cd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _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 0x7fe6a01a6440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same 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 0x7fe6a0641950>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _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 0x7fe69e452bc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same 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 0x7fe6a04b43e0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _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 0x7fe6a00d78e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same 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 0x7fe6a04b42b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _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 0x7fe69e1f3ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same 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 0x7fe6a049c4d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _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 0x7fe69e1be440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a06420d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69fbe6080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0642350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fb97400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a34ce520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee5b580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a3a13a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef6b580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a4f9f890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef07580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a47217b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ebbf4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a06457b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eaac760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a04a6750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e693940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a04a6950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e70bb80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a09e4d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fc91fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a09e4c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6a0160040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04c8670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e098b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04c82f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e1f2500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a05572b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eac8be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a065d610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eebb9a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a065d550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee8ed40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0673b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee99180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0672990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eec5240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a054cf50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef4b5e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a054d130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef6cb80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a062b890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef35900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a46f7050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee89600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a46f68d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee9c340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04b25f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee70a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04b26d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee58ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a4550dd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e1f2b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a4550950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e099de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ecc3340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e708040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e607dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e1384c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eea7e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e6180a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ff2d240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e4510c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ea0a500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee9cc40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee89c60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef365c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0450f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    @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 0x7fe69ef4a440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0450fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee9aa40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0450ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eea5660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0451040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fe9f100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0451090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69edb6e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a04510e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    @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 0x7fe69ff64ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0451130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e4e69e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0451180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e2dad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a04511d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69fc97be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0451220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69ebbf940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0451270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e708dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a04512c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69ee72c20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0451310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e20a9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0451360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe6a01142e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04513b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e6e0340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0451400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69ecbefe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0451450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e4f3400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a02e4550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69fc72200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02e4a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69ea56140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02e4b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69eebac80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02e4cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eec4a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0fc69e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fc3a440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a04b5ba0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e6a6560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a049f2f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ff63580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a06456a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ff6a560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0647240>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69feded40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02f9150>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fecb4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02f9350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e19af80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02fdd60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69fbe5b40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02fe030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e124d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0305550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e691180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0305710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e28fa00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0554530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e56c160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a065f350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69feeed40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a065ec90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fc9b7c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a03901b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6a0153400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a03919c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e6e20e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0357110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e20ae00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a03571b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e19a620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a00d30d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e887580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00d3a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e1dd9c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0315ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e5741c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0316dd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ea42b00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0346cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69edf03a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a0346d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eae5720>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e628ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e5f4100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c05f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ec4ab60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c06e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eb904c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f023b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f0620e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c08c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69deaefe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69df48ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69df58ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ea13040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e12ed40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e171780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ece6d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e88c040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e9ea020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69faf4ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eb93880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eff2800>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e28c160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c0ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e609de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c1090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f00eb60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c1130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69df30520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c11d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69df38dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c1270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ec18ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c1310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ec20400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c13b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e9c8760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c1400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e89cca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c1450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e954040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c14a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e9e1600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a00c14f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ea105e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a00c1540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e3bda80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a00c1590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f02ada0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a00c15e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e1d6c20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a00c1630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69fbe5840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c1680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e7a5f60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a00c16d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e7fdba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a00c1720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69ea821a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02e5090>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69f0293c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02e51d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e89c3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04b56e0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e893100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a04b5cd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e7fe380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a049f9b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e846f80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0647680>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef09c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0647790>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e643b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02d5750>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69eb90280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02d5950>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e693ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02fea80>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e245d20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a02fe7b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e1d4ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02b91d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e88e920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe6a02e5450>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e873ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a02e5590>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e402f80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04b5e00>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69ea2bca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04b5f30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    @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 0x7fe69e6e38e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a049f770>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e2169e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a06479b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69eda4520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a035f9d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69edacb80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a035f890>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e8caaa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe69dfd2ea0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fabee00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe69dfd2d70>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f063b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0379d90>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69e5d1720>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a045bbd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ea711e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a045b790>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ea6a140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe69e058d50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ea2a200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe69e058f50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ed73700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe69dfeb6b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ef09ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe69e0165d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e4f0ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe69e008130>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69e5b5ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a04661a0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fa942e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a03bff50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ec7a020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a0446b70>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69f790ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 0x7fe69e14a600>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69ee49fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length 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 0x7fe69e1c6dd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7fe6a0fc6fd0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>

    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 0x7fe69f74db40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must 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 0x7fe6a035efd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f72f640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a035ec10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f0cdfc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69dfd2190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cef4d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69dfd2060>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf90ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0379a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5b84c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a045b020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c665660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a045ae00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5a8d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a000fb50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f790940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a000fd50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f1c6e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69df99f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c37c520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69df985f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c413b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0040670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c454ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0040830>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c49c5e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a03fc530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c496140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a03bebd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c568e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a03bea50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f0cff40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0050730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf52c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0050890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f875a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e01bd90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f0bcca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e01be30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf1c3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e148950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf723e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e334a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5bd240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e337d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c61f520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff94440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c49ee60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff94520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ebffa60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e595c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69df7ece0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e595fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5403a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e067e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4cb9a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e067ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3a4ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e067fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3b4400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c159f60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c601a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff905a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cedc340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5da6e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff905f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f78d900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f774ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f0906a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff906e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf2e200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0807c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c152f80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff907d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fb01540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4cd7e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c65b580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff908c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5dcca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4684c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3f2020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff909b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4a0d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf910c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf50640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f6a6a40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4ba140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c139a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c699420>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5cf040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4683a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c521840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c473a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f700700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4056c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c584a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c49a560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c61d540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c6a7ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f14aaa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5d9120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68ced9ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff90ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f7498a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c658ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0d4640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff910e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c09e1a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c434fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3ceb00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff911d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5ff1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f328dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c37fca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff912c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f1c7820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c523820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fb7dfc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff913b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4bcca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5cc820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3c93c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff914a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0d5180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff914f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf5f280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69fafaf20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4ed4e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff915e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f335c60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0d8ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3d84c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff916d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c40e3e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c651060>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c48b520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff917c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c56ab60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3d8520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f385840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff918b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c406500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3d4a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c61b760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff919a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4698a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff919f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c63e800>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c623460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3fe560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0f7b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0fb100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3df340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c40ec80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4bbfa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c653760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f336c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c15e6e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c60dc60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c484e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f6b4e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c646560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91ea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5636a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c1270a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4c5000>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5fcdc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff91fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c45af20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5862c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c37bca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff920d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c60e9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c15e440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c597340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff921c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c6538e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4bb100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c40fe80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff922b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0dace0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3cf0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3fe680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff923a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c463f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff923f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4a0160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3d4160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c585cc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff924e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4f09a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3ab0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4c6c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff925d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c125ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c561ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c644880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff926c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69ee4a1a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f9aa560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c1510c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff927b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5dae60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff92800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c462aa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a035e990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f276c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a035e5d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c43d0c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69dfd1e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3b0f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69dfd1f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68ceee4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a03795b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c446500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a045acf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c07ebc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a045aad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c082aa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ffc1050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f6b6aa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ffc1250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3a7700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69df9a990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf7ee60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69dfc8aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf2eda0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ffacad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf929e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ffacc90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c48aec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a1718530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3e9840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a03be8d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c427dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a03be990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c50a4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0053ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c604b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a002c050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c60f9a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0020550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5fab00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a00205f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c43a680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a03a4320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c479000>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e6550d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c476740>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e654450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4b39a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0036890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c24ef20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe6a0036970>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c621a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e07f770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5e1de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69e07f7d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c405000>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f7485e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c378ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff932a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4c6bc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0c18a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff933e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c080dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c245ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c138e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff934d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c63fbe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c266ce0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c202fe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff935c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c215840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c17d2a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c124be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff936b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c135c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c10e620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c19b0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff937a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c5790c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff937f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c46a5c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f717c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf92e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff938e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c41d3c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3e8820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c425180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff939d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c1639a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856d3ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c173700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c258340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c08c160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3d5ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c146740>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c11f400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c1dd7e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c240e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c2a8be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c1ce140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c11c6a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f74a380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c61e8c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c2a5c60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69ff93fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856ca380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff00a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68565fac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6855ef3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff01e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68560bd00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c10c160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c147dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff03c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c15c640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c25f820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68577bdc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff05a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c1bdae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685602140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff06e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856764a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856aad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68542abc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c541360>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff08c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c618400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6857a2140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6854434c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff09b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6853dad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6854acbe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6854251e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68552b100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856aa980>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c28d120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c37c100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5e81c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c130fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856d10c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c46f940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68560c760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6855765c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69f4682e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856da920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851fa4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685225f60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851c4700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c29c1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2841c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff0ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c27c100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff1040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68560d2a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff1090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685663ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff10e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c13a500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff1130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c164d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff1180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856ab760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff11d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c302d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, 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 0x7fe69fff1220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4ecd60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c566380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff12c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4c8520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2f4400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c458280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68562c1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff14a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c35a380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff14f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2ba9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6852141c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685237b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff15e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684e4cca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c13a680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4efbe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff16d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6856391e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c108d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c11f2e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff17c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6855d8b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c562b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684fd6ec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff18b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68513ce80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4c6860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c28e9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff19a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c20df60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff19f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684decca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2a0640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6850ca4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6852a5060>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b02080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685143100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c14a080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c130400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c28ff40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=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 0x7fe69fff1cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4f7c40>
dims = ()

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

/usr/lib/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 0x7fe69fff1d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3d40a0>
dims = ()

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

/usr/lib/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 0x7fe69fff1d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684dcec80>
dims = ()

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

/usr/lib/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 0x7fe69fff1db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684fe4d00>
dims = ()

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

/usr/lib/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 0x7fe69fff1e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685111ba0>
dims = ()

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

/usr/lib/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 0x7fe69fff1ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6850cb880>
dims = ()

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

/usr/lib/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 0x7fe69fff1f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c29fee0>
dims = ()

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

/usr/lib/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 0x7fe69fff1f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cede320>
dims = ()

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

/usr/lib/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 0x7fe69fff1fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c0f0040>
dims = ()

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

/usr/lib/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 0x7fe69fff2030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684db9f60>
dims = ()

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

/usr/lib/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 0x7fe69fff2080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851d4ca0>
dims = ()

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

/usr/lib/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 0x7fe69fff20d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6850fc700>
dims = ()

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

/usr/lib/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 0x7fe69fff2120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851322c0>
dims = ()

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

/usr/lib/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 0x7fe69fff2170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684fe51e0>
dims = ()

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

/usr/lib/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 0x7fe69fff21c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c3d47c0>
dims = ()

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

/usr/lib/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 0x7fe69fff2210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6854a66e0>
dims = ()

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

/usr/lib/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 0x7fe69fff2260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c1bd180>
dims = ()

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

/usr/lib/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 0x7fe69fff22b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c245480>
dims = ()

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

/usr/lib/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 0x7fe69fff2300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c25b520>
dims = ()

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

/usr/lib/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 0x7fe69fff2350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4d73a0>
dims = ()

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

/usr/lib/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 0x7fe69fff23a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6850028c0>
dims = ()

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

/usr/lib/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 0x7fe69fff23f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685162c20>
dims = ()

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

/usr/lib/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 0x7fe69fff2440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b8f2e0>
dims = ()

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

/usr/lib/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 0x7fe69fff2490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685442b60>
dims = ()

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

/usr/lib/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 0x7fe69fff24e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851c6500>
dims = ()

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

/usr/lib/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 0x7fe69fff2530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685299900>
dims = ()

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

/usr/lib/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 0x7fe69fff2580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68529d9c0>
dims = ()

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

/usr/lib/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 0x7fe69fff25d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2ac340>
dims = ()

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

/usr/lib/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 0x7fe69fff2620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68515dd80>
dims = ()

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

/usr/lib/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 0x7fe69fff2670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68517eb60>
dims = ()

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

/usr/lib/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 0x7fe69fff26c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b243a0>
dims = ()

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

/usr/lib/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 0x7fe69fff2710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685000f40>
dims = ()

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

/usr/lib/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 0x7fe69fff2760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684fd7340>
dims = ()

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

/usr/lib/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 0x7fe69fff27b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6855db580>
dims = ()

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

/usr/lib/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 0x7fe69fff2800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4ccfa0>
dims = ()

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

/usr/lib/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 0x7fe69fff2850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c266bc0>
dims = ()

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

/usr/lib/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 0x7fe69fff28a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c334220>
dims = ()

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

/usr/lib/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 0x7fe69fff28f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c165fc0>
dims = ()

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

/usr/lib/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 0x7fe69fff2940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685174f40>
dims = ()

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

/usr/lib/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 0x7fe69fff2990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b6a740>
dims = ()

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

/usr/lib/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 0x7fe69fff29e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851bada0>
dims = ()

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

/usr/lib/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 0x7fe69fff2a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6854b29e0>
dims = ()

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

/usr/lib/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 0x7fe69fff2a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c28c8e0>
dims = ()

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

/usr/lib/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 0x7fe69fff2ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684e82aa0>
dims = ()

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

/usr/lib/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 0x7fe69fff2b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685131a20>
dims = ()

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

/usr/lib/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 0x7fe69fff2b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684de2560>
dims = ()

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

/usr/lib/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 0x7fe69fff2bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685125300>
dims = ()

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

/usr/lib/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 0x7fe69fff2c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c231540>
dims = ()

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

/usr/lib/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 0x7fe69fff2c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c08e2c0>
dims = ()

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

/usr/lib/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 0x7fe69fff2cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685600a60>
dims = ()

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

/usr/lib/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 0x7fe69fff2d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c57f160>
dims = ()

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

/usr/lib/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 0x7fe69fff2d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5e9d80>
dims = ()

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

/usr/lib/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 0x7fe69fff2da0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c111f60>
dims = ()

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

/usr/lib/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 0x7fe69fff2df0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c14b7c0>
dims = ()

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

/usr/lib/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 0x7fe69fff2e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685162260>
dims = ()

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

/usr/lib/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 0x7fe69fff2e90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684fb8dc0>
dims = ()

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

/usr/lib/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 0x7fe69fff2ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b1dae0>
dims = ()

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

/usr/lib/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 0x7fe69fff2f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684de2380>
dims = ()

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

/usr/lib/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 0x7fe69fff2f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68529c3a0>
dims = ()

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

/usr/lib/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 0x7fe69fff2fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685754e20>
dims = ()

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

/usr/lib/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 0x7fe69fff3020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2ea080>
dims = ()

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

/usr/lib/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 0x7fe69fff3070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684e7d300>
dims = ()

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

/usr/lib/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 0x7fe69fff30c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b00d60>
dims = ()

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

/usr/lib/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 0x7fe69fff3110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c325240>
dims = ()

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

/usr/lib/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 0x7fe69fff3160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b94a00>
dims = ()

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

/usr/lib/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 0x7fe69fff31b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c242980>
dims = ()

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

/usr/lib/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 0x7fe69fff3200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b8a620>
dims = ()

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

/usr/lib/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 0x7fe69fff3250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c30b520>
dims = ()

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

/usr/lib/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 0x7fe69fff32a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3561a0>
dims = ()

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

/usr/lib/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 0x7fe69fff32f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c49fe80>
dims = ()

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

/usr/lib/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 0x7fe69fff3340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68559d780>
dims = ()

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

/usr/lib/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 0x7fe69fff3390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c1372e0>
dims = ()

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

/usr/lib/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 0x7fe69fff33e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68563bf40>
dims = ()

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

/usr/lib/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 0x7fe69fff3430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b47b20>
dims = ()

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

/usr/lib/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 0x7fe69fff3480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c216ec0>
dims = ()

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

/usr/lib/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 0x7fe69fff34d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c3258a0>
dims = ()

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

/usr/lib/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 0x7fe69fff3520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685293040>
dims = ()

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

/usr/lib/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 0x7fe69fff3570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c318280>
dims = ()

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

/usr/lib/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 0x7fe69fff35c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c27c7c0>
dims = ()

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

/usr/lib/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 0x7fe69fff3610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c28e740>
dims = ()

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

/usr/lib/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 0x7fe69fff3660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c297820>
dims = ()

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

/usr/lib/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 0x7fe69fff36b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684de3940>
dims = ()

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

/usr/lib/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 0x7fe69fff3700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c240ca0>
dims = ()

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

/usr/lib/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 0x7fe69fff3750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6849d0280>
dims = ()

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

/usr/lib/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 0x7fe69fff37a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685731ea0>
dims = ()

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

/usr/lib/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 0x7fe69fff37f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c25d480>
dims = ()

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

/usr/lib/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 0x7fe69fff3840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c203d00>
dims = ()

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

/usr/lib/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 0x7fe69fff3890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c124fa0>
dims = ()

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

/usr/lib/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 0x7fe69fff38e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c1dea40>
dims = ()

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

/usr/lib/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 0x7fe69fff3930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c560a00>
dims = ()

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

/usr/lib/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 0x7fe69fff3980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b1ea40>
dims = ()

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

/usr/lib/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 0x7fe69fff39d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684fcf040>
dims = ()

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

/usr/lib/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 0x7fe69fff3a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684a281c0>
dims = ()

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

/usr/lib/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 0x7fe69fff3a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c230700>
dims = ()

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

/usr/lib/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 0x7fe69fff3ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684db8100>
dims = ()

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

/usr/lib/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 0x7fe69fff3b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c31d180>
dims = ()

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

/usr/lib/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 0x7fe69fff3b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6854b3dc0>
dims = ()

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

/usr/lib/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 0x7fe69fff3bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2f5180>
dims = ()

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

/usr/lib/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 0x7fe69fff3c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b01fc0>
dims = ()

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

/usr/lib/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 0x7fe69fff3c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c32dba0>
dims = ()

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

/usr/lib/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 0x7fe69fff3ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c1e9060>
dims = ()

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

/usr/lib/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 0x7fe69fff3cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2014e0>
dims = ()

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

/usr/lib/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 0x7fe69fff3d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c593940>
dims = ()

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

/usr/lib/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 0x7fe69fff3d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c34c640>
dims = ()

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

/usr/lib/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 0x7fe69fff3de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4d7ac0>
dims = ()

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

/usr/lib/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 0x7fe69fff3e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6855752a0>
dims = ()

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

/usr/lib/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 0x7fe69fff3e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c63fd00>
dims = ()

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

/usr/lib/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 0x7fe69fff3ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5f4880>
dims = ()

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

/usr/lib/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 0x7fe69fff3f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c334ee0>
dims = ()

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

/usr/lib/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 0x7fe69fff3f70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c146f80>
dims = ()

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

/usr/lib/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 0x7fe69fff3fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684a868c0>
dims = ()

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

/usr/lib/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 0x7fe6a0240050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2034c0>
dims = ()

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

/usr/lib/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 0x7fe6a02400a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68514e0e0>
dims = ()

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

/usr/lib/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 0x7fe6a02400f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851d0280>
dims = ()

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

/usr/lib/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 0x7fe6a0240140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c60b460>
dims = ()

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

/usr/lib/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 0x7fe6a0240190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684e81840>
dims = ()

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

/usr/lib/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 0x7fe6a02401e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4275e0>
dims = ()

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

/usr/lib/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 0x7fe6a0240230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c187ee0>
dims = ()

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

/usr/lib/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 0x7fe6a0240280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684de04c0>
dims = ()

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

/usr/lib/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 0x7fe6a02402d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68513a2c0>
dims = ()

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

/usr/lib/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 0x7fe6a0240320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b1ada0>
dims = ()

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

/usr/lib/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 0x7fe6a0240370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c57dd80>
dims = ()

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

/usr/lib/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 0x7fe6a02403c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6853fdf00>
dims = ()

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

/usr/lib/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 0x7fe6a0240410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68516d8a0>
dims = ()

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

/usr/lib/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 0x7fe6a0240460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68513dd80>
dims = ()

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

/usr/lib/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 0x7fe6a02404b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c316ce0>
dims = ()

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

/usr/lib/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 0x7fe6a0240500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6850207c0>
dims = ()

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

/usr/lib/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 0x7fe6a0240550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685003e80>
dims = ()

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

/usr/lib/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 0x7fe6a02405a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6849daf20>
dims = ()

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

/usr/lib/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 0x7fe6a02405f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c5ea620>
dims = ()

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

/usr/lib/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 0x7fe6a0240640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6850fb8e0>
dims = ()

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

/usr/lib/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 0x7fe6a0240690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851204c0>
dims = ()

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

/usr/lib/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 0x7fe6a02406e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68cf512a0>
dims = ()

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

/usr/lib/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 0x7fe6a0240730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6850fd540>
dims = ()

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

/usr/lib/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 0x7fe6a0240780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684ded660>
dims = ()

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

/usr/lib/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 0x7fe6a02407d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c6650c0>
dims = ()

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

/usr/lib/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 0x7fe6a0240820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b51cc0>
dims = ()

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

/usr/lib/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 0x7fe6a0240870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684a45420>
dims = ()

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

/usr/lib/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 0x7fe6a02408c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c68f220>
dims = ()

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

/usr/lib/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 0x7fe6a0240910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684b158a0>
dims = ()

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

/usr/lib/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 0x7fe6a0240960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c4f8940>
dims = ()

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

/usr/lib/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 0x7fe6a02409b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c223ca0>
dims = ()

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

/usr/lib/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 0x7fe6a0240a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68516c7c0>
dims = ()

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

/usr/lib/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 0x7fe6a0240a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c170640>
dims = ()

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

/usr/lib/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 0x7fe6a0240aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe685428e80>
dims = ()

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

/usr/lib/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 0x7fe6a0240af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c165cc0>
dims = ()

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

/usr/lib/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 0x7fe6a0240b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6849bc520>
dims = ()

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

/usr/lib/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 0x7fe6a0240b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6851ea080>
dims = ()

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

/usr/lib/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 0x7fe6a0240be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c2a4b80>
dims = ()

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

/usr/lib/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 0x7fe6a0240c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6852642e0>
dims = ()

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

/usr/lib/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 0x7fe6a0240c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c33cac0>
dims = ()

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

/usr/lib/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 0x7fe6a0240cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6853bc760>
dims = ()

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

/usr/lib/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 0x7fe6a0240d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c294760>
dims = ()

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

/usr/lib/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 0x7fe6a0240d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68523bb80>
dims = ()

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

/usr/lib/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 0x7fe6a0240dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c234280>
dims = ()

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

/usr/lib/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 0x7fe6a0240e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe684c3c5e0>
dims = ()

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

/usr/lib/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 0x7fe6a0240e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c165540>
dims = ()

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

/usr/lib/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 0x7fe6a0240eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c178fa0>
dims = ()

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

/usr/lib/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 0x7fe6a0240f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe69c4f7e20>
dims = ()

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

/usr/lib/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 0x7fe6a0240f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe68c27b760>
dims = ()

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

/usr/lib/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 0x7fe6a0240fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7fe6a06dafb0>
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 0x7fe6854eca60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number 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 ===============================
2.96s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_slice
1.57s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_list
1.52s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_int
1.37s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-True]
1.32s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-True]
1.26s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
1.26s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
1.20s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-False]
1.19s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-False-False]
1.16s call     xbout/tests/test_boutdataset.py::TestSave::test_save_all
1.03s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None]
0.82s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
0.78s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
0.71s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
0.69s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls5]
0.68s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_list
0.68s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_subplots_adjust
0.67s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls1]
0.67s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_multiline
0.65s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_fps
0.65s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax
0.64s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
0.63s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls1]
0.63s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
0.59s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls5]
0.59s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls4]
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_save_as
0.57s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls0]
0.57s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_float
0.57s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
0.56s call     xbout/tests/test_load.py::TestOpen::test_toroidal
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls3]
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_default
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_ncols
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin_list
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_not_enough_nrowsncols
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls0]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls3]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_animate_over
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls4]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax_list
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_titles_list
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_nrows
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls2]
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls2]
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls4]
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls5]
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls2]
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls3]
0.47s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls1]
0.45s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D
0.45s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls0]
0.44s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
0.36s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3]
0.34s call     xbout/tests/test_load.py::TestOpen::test_salpha
0.33s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
0.32s call     xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
0.31s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2]
0.31s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2]
0.31s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0]
0.30s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
0.30s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3]
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards0]
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1]
0.30s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1]
0.30s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1]
0.30s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0]
0.29s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3]
0.29s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
0.29s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
0.29s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
0.29s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
0.29s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0]
0.29s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards1]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2]
0.28s call     xbout/tests/test_load.py::TestOpen::test_combine_along_x
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards2]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards3]
0.26s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
0.25s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards0]
0.25s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
0.24s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
0.24s call     xbout/tests/test_load.py::TestOpen::test_combine_along_y
0.21s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
0.21s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards0]
0.19s 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_core[False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3]
0.18s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-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]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0]
0.17s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
0.17s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
0.16s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3]
0.16s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3]
0.16s call     xbout/tests/test_load.py::TestOpen::test_drop_vars
0.15s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3]
0.15s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
0.15s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1]
0.15s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards1]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards2]
0.10s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
0.10s call     xbout/tests/test_load.py::TestOpen::test_restarts
0.10s call     xbout/tests/test_load.py::TestOpen::test_squashed_file
0.10s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
0.09s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
0.09s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards2]
0.08s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float64]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards3]
0.08s call     xbout/tests/test_fastoutput.py::TestFastOutput::test_open_fastoutput
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards2]
0.08s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards2]
0.07s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
0.07s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
0.07s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards1]
0.07s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards1]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-0]
0.06s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
0.06s call     xbout/tests/test_load.py::TestOpen::test_single_file
0.06s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
0.05s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
0.05s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
0.05s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
0.05s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
0.04s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points_list
0.04s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel
0.04s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_chunks
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_extra_dims
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards3]
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards2]
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards1]
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards0]
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_sol
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
0.03s call     xbout/tests/test_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_chunks_not_in_grid
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-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-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[2-False-False-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[0-False-True-guards0]
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[0-True-False-guards1]
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-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-True-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards1]
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[1-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-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-False-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards2]
0.02s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-False]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards0]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards0]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[18]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_sol
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[2]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_to_cartesian
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-9]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-8]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddz
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_add_cartesian_coordinates
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-6]
0.02s setup    xbout/tests/test_load.py::test_set_fci_coords
0.01s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_apply_geometry
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[3-111]
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[121-2]
0.01s call     xbout/tests/test_load.py::TestStripMetadata::test_strip_metadata
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_brackets[3-111]
0.01s call     xbout/calc/tests/test_turbulence.py::TestRootMeanSquare::test_reduce_2d_dask
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_by_filenum[0-3-3-4-lower_boundaries9-upper_boundaries9]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[8]
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_from_field_aligned[True-7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-6]
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[False]
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_to_field_aligned[True-6]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-True]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_ZLOW]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-False]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[True]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[6]
0.01s call     xbout/tests/test_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_add_cartesian_coordinates
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_to_cartesian
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-9]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-True]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_dask
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_to_field_aligned_staggered[False-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-6]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_YLOW]
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[True-9]
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_from_field_aligned_staggered[False-CELL_XLOW]
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_to_field_aligned[9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-9]
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_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_XLOW]

(1673 durations < 0.005s hidden.  Use -vv to show these durations.)
=========================== short test summary info ============================
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[False]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[True]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[18]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_sol
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_sol
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points_list
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_to_cartesian
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_add_cartesian_coordinates
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddx
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddz
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[6]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[7]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[8]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[9]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_dask
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[6]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[7]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[8]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[9]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_all_variables_arg
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_to_cartesian
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_add_cartesian_coordinates
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_all - ValueError:...
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None] - Val...
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float64]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
FAILED xbout/tests/test_load.py::TestOpen::test_single_file - ValueError: dim...
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_file - ValueError: d...
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_x - ValueError:...
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_y - ValueError:...
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_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 170.68s (0:02:50) =

RPM build errors:
error: Bad exit status from /var/tmp/rpm-tmp.JlVA1Z (%check)
    Bad exit status from /var/tmp/rpm-tmp.JlVA1Z (%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_64-1756533364.710581/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) 3 minutes 23 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 be353fc24bae44dd8cc08f289b66eb4e -D /var/lib/mock/fedora-rawhide-x86_64-1756533364.710581/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.k7odyx05:/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