Warning: Permanently added '3.83.39.148' (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/9151209-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.3
PID: 11966
Logging PID: 11967
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 9151209,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'b1cea0ed97a7f9b9b1cc737093b1047e3961fb63',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/cstratak/click-8.1.7/python-xbout',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-xbout',
 'package_version': '0.3.6-5',
 'project_dirname': 'click-8.1.7',
 'project_name': 'click-8.1.7',
 'project_owner': 'cstratak',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/cstratak/click-8.1.7/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None},
           {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/',
            'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch',
            'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}],
 'sandbox': 'cstratak/click-8.1.7--cstratak',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': 0,
 'submitter': 'cstratak',
 'tags': [],
 'task_id': '9151209-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/cstratak/click-8.1.7/python-xbout /var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/python-xbout --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/cstratak/click-8.1.7/python-xbout', '/var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/python-xbout', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/python-xbout'...

Running: git checkout b1cea0ed97a7f9b9b1cc737093b1047e3961fb63 --

cmd: ['git', 'checkout', 'b1cea0ed97a7f9b9b1cc737093b1047e3961fb63', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/python-xbout
rc: 0
stdout: 
stderr: Note: switching to 'b1cea0ed97a7f9b9b1cc737093b1047e3961fb63'.

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 b1cea0e automatic import of python-xbout

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/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/cstratak/click-8.1.7/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   208M      0 --:--:-- --:--:-- --:--:--  208M
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-1svbfrzb/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1749601066.731059 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.2 starting (python version = 3.13.3, NVR = mock-6.2-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-1svbfrzb/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1749601066.731059 -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-1svbfrzb/python-xbout/python-xbout.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.2
INFO: Mock Version: 6.2
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1749601066.731059/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-5fe027fb-c113-4062-bf27-28dd5ac0173e
INFO: Checking that 53f9000a2cf9b72e27839917d398f471bcc70c782642453ae656e9b7915e9861 image matches host's architecture
INFO: Copy content of container 53f9000a2cf9b72e27839917d398f471bcc70c782642453ae656e9b7915e9861 to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1749601066.731059/root
INFO: mounting 53f9000a2cf9b72e27839917d398f471bcc70c782642453ae656e9b7915e9861 with podman image mount
INFO: image 53f9000a2cf9b72e27839917d398f471bcc70c782642453ae656e9b7915e9861 as /var/lib/containers/storage/overlay/7786b659e3577dfe1794e11837b282e5deb73a038c95a40f70a5dd951c64830c/merged
INFO: umounting image 53f9000a2cf9b72e27839917d398f471bcc70c782642453ae656e9b7915e9861 (/var/lib/containers/storage/overlay/7786b659e3577dfe1794e11837b282e5deb73a038c95a40f70a5dd951c64830c/merged) with podman image umount
INFO: Removing image mock-bootstrap-5fe027fb-c113-4062-bf27-28dd5ac0173e
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_64-1749601066.731059/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (direct choice)
INFO: Buildroot is handled by package management downloaded with a bootstrap image:
  rpm-5.99.90-5.fc43.x86_64
  rpm-sequoia-1.8.0-1.fc43.x86_64
  dnf5-5.2.13.1-2.fc43.x86_64
  dnf5-plugins-5.2.13.1-2.fc43.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  26.8 KiB/s |   9.1 KiB |  00m00s
 Copr repository                        100% |  95.0 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 159.5 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% | 349.9 KiB/s |   9.8 KiB |  00m00s
Repositories loaded.
Package                            Arch   Version                    Repository                                                         Size
Installing group/module packages:
 bash                              x86_64 5.2.37-3.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.2 MiB
 bzip2                             x86_64 1.0.8-20.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  99.3 KiB
 coreutils                         x86_64 9.7-3.fc43                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.4 MiB
 cpio                              x86_64 2.15-2.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 diffutils                         x86_64 3.12-2.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 MiB
 fedora-release-common             noarch 43-0.16                    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.4 KiB
 findutils                         x86_64 1:4.10.0-5.fc42            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 MiB
 gawk                              x86_64 5.3.2-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 glibc-minimal-langpack            x86_64 2.41.9000-15.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 grep                              x86_64 3.12-1.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 gzip                              x86_64 1.13-3.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 392.9 KiB
 info                              x86_64 7.2-3.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 357.9 KiB
 patch                             x86_64 2.8-1.fc43                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 226.8 KiB
 redhat-rpm-config                 noarch 343-6.fc43                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 181.4 KiB
 rpm-build                         x86_64 5.99.90-5.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 281.7 KiB
 sed                               x86_64 4.9-4.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 857.3 KiB
 shadow-utils                      x86_64 2:4.17.4-1.fc43            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.0 MiB
 tar                               x86_64 2:1.35-5.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.0 MiB
 unzip                             x86_64 6.0-66.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 390.3 KiB
 util-linux                        x86_64 2.40.4-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.4 MiB
 which                             x86_64 2.23-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  83.4 KiB
 xz                                x86_64 1:5.8.1-1.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.3 MiB
Installing dependencies:
 add-determinism                   x86_64 0.6.0-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.5 MiB
 alternatives                      x86_64 1.33-1.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  62.2 KiB
 ansible-srpm-macros               noarch 1-17.1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  35.7 KiB
 audit-libs                        x86_64 4.0.4-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 351.2 KiB
 binutils                          x86_64 2.44-3.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  25.9 MiB
 build-reproducibility-srpm-macros noarch 0.6.0-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 735.0   B
 bzip2-libs                        x86_64 1.0.8-20.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  84.6 KiB
 ca-certificates                   noarch 2024.2.69_v8.0.401-5.fc42  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.6 MiB
 coreutils-common                  x86_64 9.7-3.fc43                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.3 MiB
 crypto-policies                   noarch 20250603-1.git3a584b3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 142.2 KiB
 curl                              x86_64 8.14.1-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 474.1 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-30.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 debugedit                         x86_64 5.1-6.fc43                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 192.7 KiB
 dwz                               x86_64 0.16-1.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 287.1 KiB
 ed                                x86_64 1.21-2.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 146.5 KiB
 efi-srpm-macros                   noarch 6-3.fc43                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.1 KiB
 elfutils                          x86_64 0.193-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.9 MiB
 elfutils-debuginfod-client        x86_64 0.193-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  83.9 KiB
 elfutils-default-yama-scope       noarch 0.193-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 KiB
 elfutils-libelf                   x86_64 0.193-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 elfutils-libs                     x86_64 0.193-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 683.4 KiB
 fedora-gpg-keys                   noarch 43-0.2                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 129.0 KiB
 fedora-release                    noarch 43-0.16                    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 fedora-release-identity-basic     noarch 43-0.16                    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 664.0   B
 fedora-repos                      noarch 43-0.2                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.9 KiB
 fedora-repos-rawhide              noarch 43-0.2                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 KiB
 file                              x86_64 5.46-4.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 100.2 KiB
 file-libs                         x86_64 5.46-4.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.9 MiB
 filesystem                        x86_64 3.18-44.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0   B
 filesystem-srpm-macros            noarch 3.18-44.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  38.2 KiB
 fonts-srpm-macros                 noarch 1:2.0.5-22.fc43            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  38.9 KiB
 fpc-srpm-macros                   noarch 1.3-14.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.0   B
 gdb-minimal                       x86_64 16.3-1.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  13.2 MiB
 gdbm-libs                         x86_64 1:1.23-9.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 129.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 779.0   B
 glibc                             x86_64 2.41.9000-15.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.7 MiB
 glibc-common                      x86_64 2.41.9000-15.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 glibc-gconv-extra                 x86_64 2.41.9000-15.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   7.2 MiB
 gmp                               x86_64 1:6.3.0-3.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 819.2 KiB
 gnat-srpm-macros                  noarch 6-7.fc42                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 KiB
 gnupg2                            x86_64 2.4.8-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.5 MiB
 gnupg2-dirmngr                    x86_64 2.4.8-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 618.4 KiB
 gnupg2-gpg-agent                  x86_64 2.4.8-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 671.4 KiB
 gnupg2-gpgconf                    x86_64 2.4.8-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 250.0 KiB
 gnupg2-keyboxd                    x86_64 2.4.8-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 201.4 KiB
 gnupg2-verify                     x86_64 2.4.8-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 348.5 KiB
 gnutls                            x86_64 3.8.9-5.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.6 MiB
 go-srpm-macros                    noarch 3.6.0-7.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  60.8 KiB
 gpgverify                         noarch 2.1-3.fc43                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.7 KiB
 ima-evm-utils-libs                x86_64 1.6.2-5.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  60.7 KiB
 jansson                           x86_64 2.14-2.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  93.1 KiB
 java-srpm-macros                  noarch 1-4.fc43                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 894.0   B
 json-c                            x86_64 0.18-2.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  86.7 KiB
 kernel-srpm-macros                noarch 1.0-25.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 keyutils-libs                     x86_64 1.6.3-5.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  58.3 KiB
 krb5-libs                         x86_64 1.21.3-6.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 libacl                            x86_64 2.3.2-3.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  38.3 KiB
 libarchive                        x86_64 3.8.1-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 951.1 KiB
 libassuan                         x86_64 2.5.7-3.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 167.8 KiB
 libattr                           x86_64 2.5.2-5.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  27.1 KiB
 libblkid                          x86_64 2.40.4-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 262.4 KiB
 libbrotli                         x86_64 1.1.0-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 841.3 KiB
 libcap                            x86_64 2.76-1.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 209.2 KiB
 libcap-ng                         x86_64 0.8.5-4.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  72.9 KiB
 libcom_err                        x86_64 1.47.2-3.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  67.1 KiB
 libcurl                           x86_64 8.14.1-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 895.2 KiB
 libeconf                          x86_64 0.7.9-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  64.9 KiB
 libevent                          x86_64 2.1.12-15.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 903.1 KiB
 libfdisk                          x86_64 2.40.4-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 372.3 KiB
 libffi                            x86_64 3.4.8-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  83.0 KiB
 libfsverity                       x86_64 1.6-2.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  32.5 KiB
 libgcc                            x86_64 15.1.1-2.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 266.6 KiB
 libgcrypt                         x86_64 1.11.1-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 MiB
 libgomp                           x86_64 15.1.1-2.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 539.1 KiB
 libgpg-error                      x86_64 1.55-1.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 915.3 KiB
 libidn2                           x86_64 2.3.8-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 552.5 KiB
 libksba                           x86_64 1.6.7-3.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 402.5 KiB
 libmount                          x86_64 2.40.4-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 356.2 KiB
 libnghttp2                        x86_64 1.65.0-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 162.2 KiB
 libpkgconf                        x86_64 2.3.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  78.1 KiB
 libpsl                            x86_64 0.21.5-5.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  76.4 KiB
 libselinux                        x86_64 3.8-2.fc43                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 193.1 KiB
 libsemanage                       x86_64 3.8.1-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 304.4 KiB
 libsepol                          x86_64 3.8-1.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 826.0 KiB
 libsmartcols                      x86_64 2.40.4-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 180.4 KiB
 libssh                            x86_64 0.11.1-4.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 565.5 KiB
 libssh-config                     noarch 0.11.1-4.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.0   B
 libstdc++                         x86_64 15.1.1-2.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.8 MiB
 libtasn1                          x86_64 4.20.0-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 176.3 KiB
 libtool-ltdl                      x86_64 2.5.4-4.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  70.1 KiB
 libunistring                      x86_64 1.1-9.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
 libusb1                           x86_64 1.0.28-2.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 171.0 KiB
 libuuid                           x86_64 2.40.4-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  37.3 KiB
 libverto                          x86_64 0.3.2-10.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  25.4 KiB
 libxcrypt                         x86_64 4.4.38-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 284.5 KiB
 libxml2                           x86_64 2.12.10-1.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
 libzstd                           x86_64 1.5.7-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 807.8 KiB
 lua-libs                          x86_64 5.4.8-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 280.8 KiB
 lua-srpm-macros                   noarch 1-15.fc42                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.3 KiB
 lz4-libs                          x86_64 1.10.0-2.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 157.4 KiB
 mpfr                              x86_64 4.2.2-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 828.8 KiB
 ncurses-base                      noarch 6.5-5.20250125.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.8 KiB
 ncurses-libs                      x86_64 6.5-5.20250125.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 946.3 KiB
 nettle                            x86_64 3.10.1-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 790.5 KiB
 npth                              x86_64 1.8-2.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  49.6 KiB
 ocaml-srpm-macros                 noarch 10-4.fc42                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 openblas-srpm-macros              noarch 2-19.fc42                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0   B
 openldap                          x86_64 2.6.9-5.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 655.1 KiB
 openssl-libs                      x86_64 1:3.5.0-5.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.9 MiB
 p11-kit                           x86_64 0.25.5-8.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-8.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 395.5 KiB
 package-notes-srpm-macros         noarch 0.5-13.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 KiB
 pam-libs                          x86_64 1.7.0-4.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 126.7 KiB
 pcre2                             x86_64 10.45-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 697.7 KiB
 pcre2-syntax                      noarch 10.45-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 273.9 KiB
 perl-srpm-macros                  noarch 1-57.fc42                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0   B
 pkgconf                           x86_64 2.3.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  88.5 KiB
 pkgconf-m4                        noarch 2.3.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 989.0   B
 popt                              x86_64 1.19-8.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 132.8 KiB
 publicsuffix-list-dafsa           noarch 20250116-1.fc42            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  68.5 KiB
 pyproject-srpm-macros             noarch 1.18.1-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 python-srpm-macros                noarch 3.13-5.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  51.7 KiB
 qt5-srpm-macros                   noarch 5.15.17-1.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0   B
 qt6-srpm-macros                   noarch 6.9.1-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 464.0   B
 readline                          x86_64 8.2-13.fc43                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 485.0 KiB
 rpm                               x86_64 5.99.90-5.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.1 MiB
 rpm-build-libs                    x86_64 5.99.90-5.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 264.4 KiB
 rpm-libs                          x86_64 5.99.90-5.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 929.8 KiB
 rpm-sequoia                       x86_64 1.8.0-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.5 MiB
 rpm-sign-libs                     x86_64 5.99.90-5.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  39.7 KiB
 rust-srpm-macros                  noarch 26.3-4.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.8 KiB
 setup                             noarch 2.15.0-25.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 725.0 KiB
 sqlite-libs                       x86_64 3.50.0-1.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.5 MiB
 systemd-libs                      x86_64 257.6-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 MiB
 systemd-standalone-sysusers       x86_64 257.6-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.3 KiB
 tpm2-tss                          x86_64 4.1.3-7.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 MiB
 tree-sitter-srpm-macros           noarch 0.3.0-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   7.8 KiB
 util-linux-core                   x86_64 2.40.4-7.fc43              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.4 MiB
 xxhash-libs                       x86_64 0.8.3-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  90.2 KiB
 xz-libs                           x86_64 1:5.8.1-1.fc43             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 217.8 KiB
 zig-srpm-macros                   noarch 1-4.fc42                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 KiB
 zip                               x86_64 3.0-43.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 698.5 KiB
 zlib-ng-compat                    x86_64 2.2.4-2.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 137.6 KiB
 zstd                              x86_64 1.5.7-1.fc43               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
Installing groups:
 Buildsystem building group                                                                                                                 

Transaction Summary:
 Installing:       168 packages

Total size of inbound packages is 58 MiB. Need to download 0 B.
After this operation, 197 MiB extra will be used (install 197 MiB, remove 0 B).
[  1/168] tar-2:1.35-5.fc42.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  2/168] bzip2-0:1.0.8-20.fc42.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  3/168] redhat-rpm-config-0:343-6.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  4/168] rpm-build-0:5.99.90-5.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  5/168] unzip-0:6.0-66.fc42.x86_64    100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  6/168] cpio-0:2.15-2.fc41.x86_64     100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  7/168] which-0:2.23-1.fc42.x86_64    100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  8/168] bash-0:5.2.37-3.fc43.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  9/168] coreutils-0:9.7-3.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 10/168] grep-0:3.12-1.fc43.x86_64     100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 11/168] patch-0:2.8-1.fc43.x86_64     100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 12/168] sed-0:4.9-4.fc42.x86_64       100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 13/168] shadow-utils-2:4.17.4-1.fc43. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 14/168] util-linux-0:2.40.4-7.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 15/168] diffutils-0:3.12-2.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 16/168] fedora-release-common-0:43-0. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 17/168] findutils-1:4.10.0-5.fc42.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 18/168] gawk-0:5.3.2-1.fc43.x86_64    100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 19/168] glibc-minimal-langpack-0:2.41 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 20/168] gzip-0:1.13-3.fc42.x86_64     100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 21/168] info-0:7.2-3.fc42.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 22/168] xz-1:5.8.1-1.fc43.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 23/168] glibc-0:2.41.9000-15.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 24/168] xz-libs-1:5.8.1-1.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 25/168] audit-libs-0:4.0.4-2.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 26/168] filesystem-0:3.18-44.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 27/168] libblkid-0:2.40.4-7.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 28/168] libcap-ng-0:0.8.5-4.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 29/168] libfdisk-0:2.40.4-7.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 30/168] libmount-0:2.40.4-7.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 31/168] libselinux-0:3.8-2.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 32/168] libsmartcols-0:2.40.4-7.fc43. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 33/168] libuuid-0:2.40.4-7.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 34/168] ncurses-libs-0:6.5-5.20250125 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 35/168] pam-libs-0:1.7.0-4.fc42.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 36/168] readline-0:8.2-13.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 37/168] systemd-libs-0:257.6-1.fc43.x 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 38/168] util-linux-core-0:2.40.4-7.fc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 39/168] zlib-ng-compat-0:2.2.4-2.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 40/168] bzip2-libs-0:1.0.8-20.fc42.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 41/168] libacl-0:2.3.2-3.fc42.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 42/168] libcap-0:2.76-1.fc43.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 43/168] libgcc-0:15.1.1-2.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 44/168] libeconf-0:0.7.9-1.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 45/168] libsemanage-0:3.8.1-2.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 46/168] libxcrypt-0:4.4.38-7.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 47/168] setup-0:2.15.0-25.fc43.noarch 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 48/168] binutils-0:2.44-3.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 49/168] debugedit-0:5.1-6.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 50/168] elfutils-0:0.193-2.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 51/168] elfutils-libelf-0:0.193-2.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 52/168] file-0:5.46-4.fc43.x86_64     100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 53/168] libarchive-0:3.8.1-1.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 54/168] libstdc++-0:15.1.1-2.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 55/168] pkgconf-pkg-config-0:2.3.0-2. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 56/168] popt-0:1.19-8.fc42.x86_64     100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 57/168] rpm-0:5.99.90-5.fc43.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 58/168] rpm-build-libs-0:5.99.90-5.fc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 59/168] rpm-libs-0:5.99.90-5.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 60/168] zstd-0:1.5.7-1.fc43.x86_64    100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 61/168] curl-0:8.14.1-1.fc43.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 62/168] glibc-gconv-extra-0:2.41.9000 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 63/168] ansible-srpm-macros-0:1-17.1. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 64/168] build-reproducibility-srpm-ma 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 65/168] dwz-0:0.16-1.fc43.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 66/168] efi-srpm-macros-0:6-3.fc43.no 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 67/168] filesystem-srpm-macros-0:3.18 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 68/168] fonts-srpm-macros-1:2.0.5-22. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 69/168] forge-srpm-macros-0:0.4.0-2.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 70/168] fpc-srpm-macros-0:1.3-14.fc42 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 71/168] ghc-srpm-macros-0:1.9.2-2.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 72/168] gnat-srpm-macros-0:6-7.fc42.n 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 73/168] go-srpm-macros-0:3.6.0-7.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 74/168] java-srpm-macros-0:1-4.fc43.n 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 75/168] kernel-srpm-macros-0:1.0-25.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 76/168] lua-srpm-macros-0:1-15.fc42.n 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 77/168] ocaml-srpm-macros-0:10-4.fc42 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 78/168] openblas-srpm-macros-0:2-19.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 79/168] package-notes-srpm-macros-0:0 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 80/168] perl-srpm-macros-0:1-57.fc42. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 81/168] pyproject-srpm-macros-0:1.18. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 82/168] python-srpm-macros-0:3.13-5.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 83/168] qt5-srpm-macros-0:5.15.17-1.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 84/168] qt6-srpm-macros-0:6.9.1-1.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 85/168] rust-srpm-macros-0:26.3-4.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 86/168] tree-sitter-srpm-macros-0:0.3 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 87/168] zig-srpm-macros-0:1-4.fc42.no 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 88/168] zip-0:3.0-43.fc42.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 89/168] pkgconf-0:2.3.0-2.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 90/168] pkgconf-m4-0:2.3.0-2.fc42.noa 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 91/168] libpkgconf-0:2.3.0-2.fc42.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 92/168] ed-0:1.21-2.fc42.x86_64       100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 93/168] libattr-0:2.5.2-5.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 94/168] ncurses-base-0:6.5-5.20250125 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 95/168] libsepol-0:3.8-1.fc42.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 96/168] pcre2-0:10.45-1.fc43.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 97/168] libxml2-0:2.12.10-1.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 98/168] libzstd-0:1.5.7-1.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 99/168] lz4-libs-0:1.10.0-2.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[100/168] openssl-libs-1:3.5.0-5.fc43.x 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[101/168] glibc-common-0:2.41.9000-15.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[102/168] gmp-1:6.3.0-3.fc43.x86_64     100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[103/168] mpfr-0:4.2.2-1.fc43.x86_64    100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[104/168] file-libs-0:5.46-4.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[105/168] fedora-repos-0:43-0.2.noarch  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[106/168] elfutils-debuginfod-client-0: 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[107/168] elfutils-libs-0:0.193-2.fc43. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[108/168] coreutils-common-0:9.7-3.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[109/168] add-determinism-0:0.6.0-1.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[110/168] alternatives-0:1.33-1.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[111/168] jansson-0:2.14-2.fc42.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[112/168] lua-libs-0:5.4.8-1.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[113/168] rpm-sequoia-0:1.8.0-1.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[114/168] sqlite-libs-0:3.50.0-1.fc43.x 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[115/168] libgomp-0:15.1.1-2.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[116/168] rpm-sign-libs-0:5.99.90-5.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[117/168] pcre2-syntax-0:10.45-1.fc43.n 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[118/168] ca-certificates-0:2024.2.69_v 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[119/168] crypto-policies-0:20250603-1. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[120/168] fedora-gpg-keys-0:43-0.2.noar 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[121/168] fedora-repos-rawhide-0:43-0.2 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[122/168] elfutils-default-yama-scope-0 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[123/168] json-c-0:0.18-2.fc42.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[124/168] libffi-0:3.4.8-1.fc43.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[125/168] p11-kit-0:0.25.5-8.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[126/168] p11-kit-trust-0:0.25.5-8.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[127/168] gnupg2-0:2.4.8-2.fc43.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[128/168] ima-evm-utils-libs-0:1.6.2-5. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[129/168] libfsverity-0:1.6-2.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[130/168] gpgverify-0:2.1-3.fc43.noarch 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[131/168] libtasn1-0:4.20.0-1.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[132/168] tpm2-tss-0:4.1.3-7.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[133/168] gnupg2-dirmngr-0:2.4.8-2.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[134/168] gnupg2-gpg-agent-0:2.4.8-2.fc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[135/168] gnupg2-gpgconf-0:2.4.8-2.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[136/168] gnupg2-keyboxd-0:2.4.8-2.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[137/168] gnupg2-verify-0:2.4.8-2.fc43. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[138/168] libassuan-0:2.5.7-3.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[139/168] libgcrypt-0:1.11.1-1.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[140/168] libgpg-error-0:1.55-1.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[141/168] npth-0:1.8-2.fc42.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[142/168] libusb1-0:1.0.28-2.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[143/168] libksba-0:1.6.7-3.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[144/168] gnutls-0:3.8.9-5.fc43.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[145/168] openldap-0:2.6.9-5.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[146/168] cyrus-sasl-lib-0:2.1.28-30.fc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[147/168] libevent-0:2.1.12-15.fc42.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[148/168] libtool-ltdl-0:2.5.4-4.fc42.x 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[149/168] libidn2-0:2.3.8-1.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[150/168] libunistring-0:1.1-9.fc42.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[151/168] nettle-0:3.10.1-1.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[152/168] gdbm-libs-1:1.23-9.fc42.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[153/168] fedora-release-0:43-0.16.noar 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[154/168] systemd-standalone-sysusers-0 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[155/168] gdb-minimal-0:16.3-1.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[156/168] xxhash-libs-0:0.8.3-2.fc42.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[157/168] fedora-release-identity-basic 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[158/168] libcurl-0:8.14.1-1.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[159/168] krb5-libs-0:1.21.3-6.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[160/168] libbrotli-0:1.1.0-6.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[161/168] libnghttp2-0:1.65.0-1.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[162/168] libpsl-0:0.21.5-5.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[163/168] libssh-0:0.11.1-4.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[164/168] keyutils-libs-0:1.6.3-5.fc42. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[165/168] libcom_err-0:1.47.2-3.fc42.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[166/168] libverto-0:0.3.2-10.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[167/168] libssh-config-0:0.11.1-4.fc42 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[168/168] publicsuffix-list-dafsa-0:202 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
--------------------------------------------------------------------------------
[168/168] Total                         100% |   0.0   B/s |   0.0   B |  00m00s
Running transaction
[  1/170] Verify package files          100% |   1.8 KiB/s | 168.0   B |  00m00s
[  2/170] Prepare transaction           100% |   4.3 KiB/s | 168.0   B |  00m00s
[  3/170] Installing libgcc-0:15.1.1-2. 100% | 262.0 MiB/s | 268.3 KiB |  00m00s
[  4/170] Installing publicsuffix-list- 100% |   0.0   B/s |  69.2 KiB |  00m00s
[  5/170] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  6/170] Installing fedora-release-ide 100% |   0.0   B/s | 920.0   B |  00m00s
[  7/170] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  8/170] Installing fedora-gpg-keys-0: 100% |  42.9 MiB/s | 175.9 KiB |  00m00s
[  9/170] Installing fedora-repos-0:43- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/170] Installing fedora-release-com 100% |  24.1 MiB/s |  24.7 KiB |  00m00s
[ 11/170] Installing fedora-release-0:4 100% |  20.2 KiB/s | 124.0   B |  00m00s
>>> Running sysusers scriptlet: setup-0:2.15.0-25.fc43.noarch                   
>>> Finished sysusers scriptlet: setup-0:2.15.0-25.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.                           
>>>                                                                             
[ 12/170] Installing setup-0:2.15.0-25. 100% |  54.9 MiB/s | 730.6 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 13/170] Installing filesystem-0:3.18- 100% |   3.0 MiB/s | 212.5 KiB |  00m00s
[ 14/170] Installing pcre2-syntax-0:10. 100% | 269.9 MiB/s | 276.4 KiB |  00m00s
[ 15/170] Installing coreutils-common-0 100% | 389.4 MiB/s |  11.3 MiB |  00m00s
[ 16/170] Installing ncurses-base-0:6.5 100% |  86.0 MiB/s | 352.2 KiB |  00m00s
[ 17/170] Installing bash-0:5.2.37-3.fc 100% | 292.2 MiB/s |   8.2 MiB |  00m00s
[ 18/170] Installing glibc-common-0:2.4 100% |  72.9 MiB/s |   1.0 MiB |  00m00s
[ 19/170] Installing glibc-gconv-extra- 100% | 304.7 MiB/s |   7.3 MiB |  00m00s
[ 20/170] Installing glibc-0:2.41.9000- 100% | 202.4 MiB/s |   6.7 MiB |  00m00s
[ 21/170] Installing ncurses-libs-0:6.5 100% | 310.1 MiB/s | 952.8 KiB |  00m00s
[ 22/170] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 23/170] Installing zlib-ng-compat-0:2 100% |   0.0   B/s | 138.4 KiB |  00m00s
[ 24/170] Installing bzip2-libs-0:1.0.8 100% |   0.0   B/s |  85.7 KiB |  00m00s
[ 25/170] Installing libgpg-error-0:1.5 100% |  69.2 MiB/s | 921.1 KiB |  00m00s
[ 26/170] Installing libstdc++-0:15.1.1 100% | 405.2 MiB/s |   2.8 MiB |  00m00s
[ 27/170] Installing xz-libs-1:5.8.1-1. 100% | 213.8 MiB/s | 218.9 KiB |  00m00s
[ 28/170] Installing libassuan-0:2.5.7- 100% | 165.6 MiB/s | 169.6 KiB |  00m00s
[ 29/170] Installing libgcrypt-0:1.11.1 100% | 393.8 MiB/s |   1.6 MiB |  00m00s
[ 30/170] Installing readline-0:8.2-13. 100% | 475.7 MiB/s | 487.1 KiB |  00m00s
[ 31/170] Installing libuuid-0:2.40.4-7 100% |   0.0   B/s |  38.4 KiB |  00m00s
[ 32/170] Installing gmp-1:6.3.0-3.fc43 100% | 401.1 MiB/s | 821.5 KiB |  00m00s
[ 33/170] Installing popt-0:1.19-8.fc42 100% |  68.1 MiB/s | 139.4 KiB |  00m00s
[ 34/170] Installing npth-0:1.8-2.fc42. 100% |   0.0   B/s |  50.7 KiB |  00m00s
[ 35/170] Installing libblkid-0:2.40.4- 100% | 257.2 MiB/s | 263.4 KiB |  00m00s
[ 36/170] Installing libxcrypt-0:4.4.38 100% | 280.4 MiB/s | 287.2 KiB |  00m00s
[ 37/170] Installing libzstd-0:1.5.7-1. 100% | 395.1 MiB/s | 809.1 KiB |  00m00s
[ 38/170] Installing elfutils-libelf-0: 100% | 388.8 MiB/s |   1.2 MiB |  00m00s
[ 39/170] Installing gnupg2-gpgconf-0:2 100% |  22.4 MiB/s | 252.1 KiB |  00m00s
[ 40/170] Installing libattr-0:2.5.2-5. 100% |   0.0   B/s |  28.1 KiB |  00m00s
[ 41/170] Installing libacl-0:2.3.2-3.f 100% |   0.0   B/s |  39.2 KiB |  00m00s
[ 42/170] Installing sqlite-libs-0:3.50 100% | 379.1 MiB/s |   1.5 MiB |  00m00s
[ 43/170] Installing libtasn1-0:4.20.0- 100% | 173.9 MiB/s | 178.1 KiB |  00m00s
[ 44/170] Installing libunistring-0:1.1 100% | 345.3 MiB/s |   1.7 MiB |  00m00s
[ 45/170] Installing libidn2-0:2.3.8-1. 100% |  60.6 MiB/s | 558.7 KiB |  00m00s
[ 46/170] Installing crypto-policies-0: 100% |  40.8 MiB/s | 167.3 KiB |  00m00s
[ 47/170] Installing dwz-0:0.16-1.fc43. 100% |  23.5 MiB/s | 288.5 KiB |  00m00s
[ 48/170] Installing mpfr-0:4.2.2-1.fc4 100% | 405.5 MiB/s | 830.4 KiB |  00m00s
[ 49/170] Installing gawk-0:5.3.2-1.fc4 100% | 113.5 MiB/s |   1.8 MiB |  00m00s
[ 50/170] Installing libksba-0:1.6.7-3. 100% | 395.6 MiB/s | 405.1 KiB |  00m00s
[ 51/170] Installing unzip-0:6.0-66.fc4 100% |  35.0 MiB/s | 393.8 KiB |  00m00s
[ 52/170] Installing file-libs-0:5.46-4 100% | 697.5 MiB/s |  11.9 MiB |  00m00s
[ 53/170] Installing file-0:5.46-4.fc43 100% |   9.9 MiB/s | 101.7 KiB |  00m00s
[ 54/170] Installing libcap-ng-0:0.8.5- 100% |   0.0   B/s |  74.8 KiB |  00m00s
[ 55/170] Installing audit-libs-0:4.0.4 100% | 345.0 MiB/s | 353.3 KiB |  00m00s
[ 56/170] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.5 KiB |  00m00s
[ 57/170] Installing libeconf-0:0.7.9-1 100% |   0.0   B/s |  66.5 KiB |  00m00s
[ 58/170] Installing pam-libs-0:1.7.0-4 100% | 126.1 MiB/s | 129.1 KiB |  00m00s
[ 59/170] Installing libcap-0:2.76-1.fc 100% |  19.0 MiB/s | 214.3 KiB |  00m00s
[ 60/170] Installing systemd-libs-0:257 100% | 372.0 MiB/s |   2.2 MiB |  00m00s
[ 61/170] Installing libsepol-0:3.8-1.f 100% | 403.8 MiB/s | 827.0 KiB |  00m00s
[ 62/170] Installing pcre2-0:10.45-1.fc 100% | 341.4 MiB/s | 699.1 KiB |  00m00s
[ 63/170] Installing libselinux-0:3.8-2 100% | 189.7 MiB/s | 194.3 KiB |  00m00s
[ 64/170] Installing grep-0:3.12-1.fc43 100% |  71.6 MiB/s |   1.0 MiB |  00m00s
[ 65/170] Installing sed-0:4.9-4.fc42.x 100% |  60.4 MiB/s | 865.5 KiB |  00m00s
[ 66/170] Installing findutils-1:4.10.0 100% | 117.1 MiB/s |   1.9 MiB |  00m00s
[ 67/170] Installing xz-1:5.8.1-1.fc43. 100% |  83.2 MiB/s |   1.3 MiB |  00m00s
[ 68/170] Installing libmount-0:2.40.4- 100% | 349.0 MiB/s | 357.4 KiB |  00m00s
[ 69/170] Installing lz4-libs-0:1.10.0- 100% | 154.7 MiB/s | 158.5 KiB |  00m00s
[ 70/170] Installing alternatives-0:1.3 100% |   5.7 MiB/s |  63.8 KiB |  00m00s
[ 71/170] Installing lua-libs-0:5.4.8-1 100% | 275.4 MiB/s | 282.0 KiB |  00m00s
[ 72/170] Installing json-c-0:0.18-2.fc 100% |   0.0   B/s |  88.0 KiB |  00m00s
[ 73/170] Installing libffi-0:3.4.8-1.f 100% |  82.4 MiB/s |  84.3 KiB |  00m00s
[ 74/170] Installing p11-kit-0:0.25.5-8 100% | 128.5 MiB/s |   2.2 MiB |  00m00s
[ 75/170] Installing p11-kit-trust-0:0. 100% |  21.5 MiB/s | 397.1 KiB |  00m00s
[ 76/170] Installing openssl-libs-1:3.5 100% | 403.8 MiB/s |   8.9 MiB |  00m00s
[ 77/170] Installing coreutils-0:9.7-3. 100% | 181.5 MiB/s |   5.4 MiB |  00m00s
[ 78/170] Installing ca-certificates-0: 100% |   2.1 MiB/s |   2.4 MiB |  00m01s
[ 79/170] Installing gzip-0:1.13-3.fc42 100% |  29.9 MiB/s | 398.4 KiB |  00m00s
[ 80/170] Installing rpm-sequoia-0:1.8. 100% | 357.7 MiB/s |   2.5 MiB |  00m00s
[ 81/170] Installing libfsverity-0:1.6- 100% |   0.0   B/s |  33.5 KiB |  00m00s
[ 82/170] Installing libevent-0:2.1.12- 100% | 295.2 MiB/s | 906.9 KiB |  00m00s
[ 83/170] Installing zstd-0:1.5.7-1.fc4 100% | 122.1 MiB/s |   1.7 MiB |  00m00s
[ 84/170] Installing util-linux-core-0: 100% |  89.2 MiB/s |   1.4 MiB |  00m00s
[ 85/170] Installing tar-2:1.35-5.fc42. 100% | 155.9 MiB/s |   3.0 MiB |  00m00s
[ 86/170] Installing libsemanage-0:3.8. 100% | 299.0 MiB/s | 306.2 KiB |  00m00s
[ 87/170] Installing systemd-standalone 100% |  24.7 MiB/s | 278.0 KiB |  00m00s
[ 88/170] Installing rpm-libs-0:5.99.90 100% | 303.2 MiB/s | 931.3 KiB |  00m00s
[ 89/170] Installing libusb1-0:1.0.28-2 100% |  24.1 MiB/s | 172.7 KiB |  00m00s
>>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-7.fc43.x86_64                  
>>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-7.fc43.x86_64                 
>>> Scriptlet output:                                                           
>>> Creating group 'tss' with GID 59.                                           
>>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59.   
>>>                                                                             
[ 90/170] Installing tpm2-tss-0:4.1.3-7 100% | 261.3 MiB/s |   1.6 MiB |  00m00s
[ 91/170] Installing ima-evm-utils-libs 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[ 92/170] Installing gnupg2-gpg-agent-0 100% |  33.0 MiB/s | 675.4 KiB |  00m00s
[ 93/170] Installing zip-0:3.0-43.fc42. 100% |  52.8 MiB/s | 702.4 KiB |  00m00s
[ 94/170] Installing gnupg2-keyboxd-0:2 100% |  33.0 MiB/s | 202.7 KiB |  00m00s
[ 95/170] Installing libpsl-0:0.21.5-5. 100% |  75.7 MiB/s |  77.5 KiB |  00m00s
[ 96/170] Installing libfdisk-0:2.40.4- 100% | 364.7 MiB/s | 373.5 KiB |  00m00s
[ 97/170] Installing gnupg2-verify-0:2. 100% |  26.3 MiB/s | 349.9 KiB |  00m00s
[ 98/170] Installing nettle-0:3.10.1-1. 100% | 387.5 MiB/s | 793.6 KiB |  00m00s
[ 99/170] Installing gnutls-0:3.8.9-5.f 100% | 397.1 MiB/s |   3.6 MiB |  00m00s
[100/170] Installing libxml2-0:2.12.10- 100% | 113.1 MiB/s |   1.7 MiB |  00m00s
[101/170] Installing libarchive-0:3.8.1 100% | 310.2 MiB/s | 953.1 KiB |  00m00s
[102/170] Installing bzip2-0:1.0.8-20.f 100% |   9.2 MiB/s | 103.8 KiB |  00m00s
[103/170] Installing add-determinism-0: 100% | 145.1 MiB/s |   2.5 MiB |  00m00s
[104/170] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[105/170] Installing cpio-0:2.15-2.fc41 100% |  78.6 MiB/s |   1.1 MiB |  00m00s
[106/170] Installing diffutils-0:3.12-2 100% |  97.6 MiB/s |   1.6 MiB |  00m00s
[107/170] Installing libpkgconf-0:2.3.0 100% |  77.4 MiB/s |  79.2 KiB |  00m00s
[108/170] Installing pkgconf-0:2.3.0-2. 100% |   8.1 MiB/s |  91.0 KiB |  00m00s
[109/170] Installing ed-0:1.21-2.fc42.x 100% |  13.2 MiB/s | 148.8 KiB |  00m00s
[110/170] Installing patch-0:2.8-1.fc43 100% |  20.3 MiB/s | 228.3 KiB |  00m00s
[111/170] Installing jansson-0:2.14-2.f 100% |  92.2 MiB/s |  94.4 KiB |  00m00s
[112/170] Installing libgomp-0:15.1.1-2 100% | 263.9 MiB/s | 540.5 KiB |  00m00s
[113/170] Installing libtool-ltdl-0:2.5 100% |   0.0   B/s |  71.2 KiB |  00m00s
[114/170] Installing gdbm-libs-1:1.23-9 100% | 128.5 MiB/s | 131.6 KiB |  00m00s
[115/170] Installing cyrus-sasl-lib-0:2 100% | 144.0 MiB/s |   2.3 MiB |  00m00s
[116/170] Installing openldap-0:2.6.9-5 100% | 321.7 MiB/s | 658.9 KiB |  00m00s
[117/170] Installing gnupg2-dirmngr-0:2 100% |  33.7 MiB/s | 621.1 KiB |  00m00s
[118/170] Installing gnupg2-0:2.4.8-2.f 100% | 234.0 MiB/s |   6.6 MiB |  00m00s
[119/170] Installing rpm-sign-libs-0:5. 100% |   0.0   B/s |  40.5 KiB |  00m00s
[120/170] Installing gpgverify-0:2.1-3. 100% |   0.0   B/s |   9.4 KiB |  00m00s
[121/170] Installing xxhash-libs-0:0.8. 100% |   0.0   B/s |  91.6 KiB |  00m00s
[122/170] Installing libbrotli-0:1.1.0- 100% | 274.6 MiB/s | 843.6 KiB |  00m00s
[123/170] Installing libnghttp2-0:1.65. 100% | 159.5 MiB/s | 163.3 KiB |  00m00s
[124/170] Installing keyutils-libs-0:1. 100% |   0.0   B/s |  59.7 KiB |  00m00s
[125/170] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  68.2 KiB |  00m00s
[126/170] Installing libverto-0:0.3.2-1 100% |   0.0   B/s |  27.2 KiB |  00m00s
[127/170] Installing krb5-libs-0:1.21.3 100% | 327.4 MiB/s |   2.3 MiB |  00m00s
[128/170] Installing libssh-0:0.11.1-4. 100% | 277.1 MiB/s | 567.5 KiB |  00m00s
[129/170] Installing libcurl-0:8.14.1-1 100% | 291.8 MiB/s | 896.3 KiB |  00m00s
[130/170] Installing curl-0:8.14.1-1.fc 100% |  23.3 MiB/s | 476.8 KiB |  00m00s
[131/170] Installing rpm-0:5.99.90-5.fc 100% |  83.6 MiB/s |   2.5 MiB |  00m00s
[132/170] Installing efi-srpm-macros-0: 100% |   0.0   B/s |  41.1 KiB |  00m00s
[133/170] Installing java-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[134/170] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[135/170] Installing tree-sitter-srpm-m 100% |   0.0   B/s |   8.9 KiB |  00m00s
[136/170] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[137/170] Installing filesystem-srpm-ma 100% |   0.0   B/s |  38.9 KiB |  00m00s
[138/170] Installing elfutils-default-y 100% | 510.7 KiB/s |   2.0 KiB |  00m00s
[139/170] Installing elfutils-libs-0:0. 100% | 223.1 MiB/s | 685.2 KiB |  00m00s
[140/170] Installing elfutils-debuginfo 100% |   6.5 MiB/s |  86.2 KiB |  00m00s
[141/170] Installing binutils-0:2.44-3. 100% | 345.3 MiB/s |  25.9 MiB |  00m00s
[142/170] Installing elfutils-0:0.193-2 100% | 162.4 MiB/s |   2.9 MiB |  00m00s
[143/170] Installing gdb-minimal-0:16.3 100% | 301.1 MiB/s |  13.2 MiB |  00m00s
[144/170] Installing debugedit-0:5.1-6. 100% |  17.3 MiB/s | 195.4 KiB |  00m00s
[145/170] Installing rpm-build-libs-0:5 100% | 259.0 MiB/s | 265.2 KiB |  00m00s
[146/170] Installing pkgconf-m4-0:2.3.0 100% |   0.0   B/s |  14.8 KiB |  00m00s
[147/170] Installing pkgconf-pkg-config 100% | 161.2 KiB/s |   1.8 KiB |  00m00s
[148/170] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.6 KiB |  00m00s
[149/170] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 740.0   B |  00m00s
[150/170] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[151/170] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[152/170] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[153/170] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[154/170] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[155/170] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[156/170] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[157/170] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[158/170] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[159/170] Installing ansible-srpm-macro 100% |   0.0   B/s |  36.2 KiB |  00m00s
[160/170] Installing rpm-build-0:5.99.9 100% |  21.8 MiB/s | 290.3 KiB |  00m00s
[161/170] Installing pyproject-srpm-mac 100% |   0.0   B/s |   2.5 KiB |  00m00s
[162/170] Installing redhat-rpm-config- 100% |  91.7 MiB/s | 187.8 KiB |  00m00s
[163/170] Installing forge-srpm-macros- 100% |   0.0   B/s |  40.3 KiB |  00m00s
[164/170] Installing fonts-srpm-macros- 100% |   0.0   B/s |  57.0 KiB |  00m00s
[165/170] Installing go-srpm-macros-0:3 100% |   0.0   B/s |  62.0 KiB |  00m00s
[166/170] Installing python-srpm-macros 100% |  51.8 MiB/s |  53.0 KiB |  00m00s
[167/170] Installing util-linux-0:2.40. 100% | 108.2 MiB/s |   3.5 MiB |  00m00s
[168/170] Installing shadow-utils-2:4.1 100% | 144.8 MiB/s |   4.1 MiB |  00m00s
[169/170] Installing which-0:2.23-1.fc4 100% |   7.6 MiB/s |  85.6 KiB |  00m00s
[170/170] Installing info-0:7.2-3.fc42. 100% | 232.0 KiB/s | 358.3 KiB |  00m02s
Warning: skipped OpenPGP checks for 168 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.6.0-1.fc43.x86_64
alternatives-1.33-1.fc43.x86_64
ansible-srpm-macros-1-17.1.fc42.noarch
audit-libs-4.0.4-2.fc43.x86_64
bash-5.2.37-3.fc43.x86_64
binutils-2.44-3.fc43.x86_64
build-reproducibility-srpm-macros-0.6.0-1.fc43.noarch
bzip2-1.0.8-20.fc42.x86_64
bzip2-libs-1.0.8-20.fc42.x86_64
ca-certificates-2024.2.69_v8.0.401-5.fc42.noarch
coreutils-9.7-3.fc43.x86_64
coreutils-common-9.7-3.fc43.x86_64
cpio-2.15-2.fc41.x86_64
crypto-policies-20250603-1.git3a584b3.fc43.noarch
curl-8.14.1-1.fc43.x86_64
cyrus-sasl-lib-2.1.28-30.fc42.x86_64
debugedit-5.1-6.fc43.x86_64
diffutils-3.12-2.fc43.x86_64
dwz-0.16-1.fc43.x86_64
ed-1.21-2.fc42.x86_64
efi-srpm-macros-6-3.fc43.noarch
elfutils-0.193-2.fc43.x86_64
elfutils-debuginfod-client-0.193-2.fc43.x86_64
elfutils-default-yama-scope-0.193-2.fc43.noarch
elfutils-libelf-0.193-2.fc43.x86_64
elfutils-libs-0.193-2.fc43.x86_64
fedora-gpg-keys-43-0.2.noarch
fedora-release-43-0.16.noarch
fedora-release-common-43-0.16.noarch
fedora-release-identity-basic-43-0.16.noarch
fedora-repos-43-0.2.noarch
fedora-repos-rawhide-43-0.2.noarch
file-5.46-4.fc43.x86_64
file-libs-5.46-4.fc43.x86_64
filesystem-3.18-44.fc43.x86_64
filesystem-srpm-macros-3.18-44.fc43.noarch
findutils-4.10.0-5.fc42.x86_64
fonts-srpm-macros-2.0.5-22.fc43.noarch
forge-srpm-macros-0.4.0-2.fc42.noarch
fpc-srpm-macros-1.3-14.fc42.noarch
gawk-5.3.2-1.fc43.x86_64
gdb-minimal-16.3-1.fc43.x86_64
gdbm-libs-1.23-9.fc42.x86_64
ghc-srpm-macros-1.9.2-2.fc42.noarch
glibc-2.41.9000-15.fc43.x86_64
glibc-common-2.41.9000-15.fc43.x86_64
glibc-gconv-extra-2.41.9000-15.fc43.x86_64
glibc-minimal-langpack-2.41.9000-15.fc43.x86_64
gmp-6.3.0-3.fc43.x86_64
gnat-srpm-macros-6-7.fc42.noarch
gnupg2-2.4.8-2.fc43.x86_64
gnupg2-dirmngr-2.4.8-2.fc43.x86_64
gnupg2-gpg-agent-2.4.8-2.fc43.x86_64
gnupg2-gpgconf-2.4.8-2.fc43.x86_64
gnupg2-keyboxd-2.4.8-2.fc43.x86_64
gnupg2-verify-2.4.8-2.fc43.x86_64
gnutls-3.8.9-5.fc43.x86_64
go-srpm-macros-3.6.0-7.fc43.noarch
gpgverify-2.1-3.fc43.noarch
grep-3.12-1.fc43.x86_64
gzip-1.13-3.fc42.x86_64
ima-evm-utils-libs-1.6.2-5.fc43.x86_64
info-7.2-3.fc42.x86_64
jansson-2.14-2.fc42.x86_64
java-srpm-macros-1-4.fc43.noarch
json-c-0.18-2.fc42.x86_64
kernel-srpm-macros-1.0-25.fc42.noarch
keyutils-libs-1.6.3-5.fc42.x86_64
krb5-libs-1.21.3-6.fc43.x86_64
libacl-2.3.2-3.fc42.x86_64
libarchive-3.8.1-1.fc43.x86_64
libassuan-2.5.7-3.fc42.x86_64
libattr-2.5.2-5.fc42.x86_64
libblkid-2.40.4-7.fc43.x86_64
libbrotli-1.1.0-6.fc42.x86_64
libcap-2.76-1.fc43.x86_64
libcap-ng-0.8.5-4.fc42.x86_64
libcom_err-1.47.2-3.fc42.x86_64
libcurl-8.14.1-1.fc43.x86_64
libeconf-0.7.9-1.fc43.x86_64
libevent-2.1.12-15.fc42.x86_64
libfdisk-2.40.4-7.fc43.x86_64
libffi-3.4.8-1.fc43.x86_64
libfsverity-1.6-2.fc42.x86_64
libgcc-15.1.1-2.fc43.x86_64
libgcrypt-1.11.1-1.fc43.x86_64
libgomp-15.1.1-2.fc43.x86_64
libgpg-error-1.55-1.fc43.x86_64
libidn2-2.3.8-1.fc43.x86_64
libksba-1.6.7-3.fc42.x86_64
libmount-2.40.4-7.fc43.x86_64
libnghttp2-1.65.0-1.fc43.x86_64
libpkgconf-2.3.0-2.fc42.x86_64
libpsl-0.21.5-5.fc42.x86_64
libselinux-3.8-2.fc43.x86_64
libsemanage-3.8.1-2.fc43.x86_64
libsepol-3.8-1.fc42.x86_64
libsmartcols-2.40.4-7.fc43.x86_64
libssh-0.11.1-4.fc42.x86_64
libssh-config-0.11.1-4.fc42.noarch
libstdc++-15.1.1-2.fc43.x86_64
libtasn1-4.20.0-1.fc43.x86_64
libtool-ltdl-2.5.4-4.fc42.x86_64
libunistring-1.1-9.fc42.x86_64
libusb1-1.0.28-2.fc43.x86_64
libuuid-2.40.4-7.fc43.x86_64
libverto-0.3.2-10.fc42.x86_64
libxcrypt-4.4.38-7.fc43.x86_64
libxml2-2.12.10-1.fc43.x86_64
libzstd-1.5.7-1.fc43.x86_64
lua-libs-5.4.8-1.fc43.x86_64
lua-srpm-macros-1-15.fc42.noarch
lz4-libs-1.10.0-2.fc42.x86_64
mpfr-4.2.2-1.fc43.x86_64
ncurses-base-6.5-5.20250125.fc42.noarch
ncurses-libs-6.5-5.20250125.fc42.x86_64
nettle-3.10.1-1.fc43.x86_64
npth-1.8-2.fc42.x86_64
ocaml-srpm-macros-10-4.fc42.noarch
openblas-srpm-macros-2-19.fc42.noarch
openldap-2.6.9-5.fc43.x86_64
openssl-libs-3.5.0-5.fc43.x86_64
p11-kit-0.25.5-8.fc43.x86_64
p11-kit-trust-0.25.5-8.fc43.x86_64
package-notes-srpm-macros-0.5-13.fc42.noarch
pam-libs-1.7.0-4.fc42.x86_64
patch-2.8-1.fc43.x86_64
pcre2-10.45-1.fc43.x86_64
pcre2-syntax-10.45-1.fc43.noarch
perl-srpm-macros-1-57.fc42.noarch
pkgconf-2.3.0-2.fc42.x86_64
pkgconf-m4-2.3.0-2.fc42.noarch
pkgconf-pkg-config-2.3.0-2.fc42.x86_64
popt-1.19-8.fc42.x86_64
publicsuffix-list-dafsa-20250116-1.fc42.noarch
pyproject-srpm-macros-1.18.1-1.fc43.noarch
python-srpm-macros-3.13-5.fc43.noarch
qt5-srpm-macros-5.15.17-1.fc43.noarch
qt6-srpm-macros-6.9.1-1.fc43.noarch
readline-8.2-13.fc43.x86_64
redhat-rpm-config-343-6.fc43.noarch
rpm-5.99.90-5.fc43.x86_64
rpm-build-5.99.90-5.fc43.x86_64
rpm-build-libs-5.99.90-5.fc43.x86_64
rpm-libs-5.99.90-5.fc43.x86_64
rpm-sequoia-1.8.0-1.fc43.x86_64
rpm-sign-libs-5.99.90-5.fc43.x86_64
rust-srpm-macros-26.3-4.fc42.noarch
sed-4.9-4.fc42.x86_64
setup-2.15.0-25.fc43.noarch
shadow-utils-4.17.4-1.fc43.x86_64
sqlite-libs-3.50.0-1.fc43.x86_64
systemd-libs-257.6-1.fc43.x86_64
systemd-standalone-sysusers-257.6-1.fc43.x86_64
tar-1.35-5.fc42.x86_64
tpm2-tss-4.1.3-7.fc43.x86_64
tree-sitter-srpm-macros-0.3.0-1.fc43.noarch
unzip-6.0-66.fc42.x86_64
util-linux-2.40.4-7.fc43.x86_64
util-linux-core-2.40.4-7.fc43.x86_64
which-2.23-1.fc42.x86_64
xxhash-libs-0.8.3-2.fc42.x86_64
xz-5.8.1-1.fc43.x86_64
xz-libs-5.8.1-1.fc43.x86_64
zig-srpm-macros-1-4.fc42.noarch
zip-3.0-43.fc42.x86_64
zlib-ng-compat-2.2.4-2.fc43.x86_64
zstd-1.5.7-1.fc43.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.fc43.src.rpm
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1749601066.731059/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-1svbfrzb/python-xbout/python-xbout.spec) Config(child) 0 minutes 10 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/python-xbout-0.3.6-5.fc43.src.rpm)  Config(fedora-rawhide-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1749601066.731059/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1749601066.731059/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_64-1749601066.731059/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management downloaded with a bootstrap image:
  rpm-5.99.90-5.fc43.x86_64
  rpm-sequoia-1.8.0-1.fc43.x86_64
  dnf5-5.2.13.1-2.fc43.x86_64
  dnf5-plugins-5.2.13.1-2.fc43.x86_64
Finish: chroot init
Start: build phase for python-xbout-0.3.6-5.fc43.src.rpm
Start: build setup for python-xbout-0.3.6-5.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.fc43.src.rpm
Updating and loading repositories:
 fedora                                 100% | 233.6 KiB/s |   9.1 KiB |  00m00s
 Copr repository                        100% |  66.1 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 159.5 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% | 281.4 KiB/s |  10.4 KiB |  00m00s
Repositories loaded.
Package                           Arch   Version              Repository                                                         Size
Installing:
 python3-boutdata                 noarch 0.2.1-8.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 544.3 KiB
 python3-devel                    x86_64 3.13.3-3.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 python3-pytest                   noarch 8.3.5-2.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  21.0 MiB
 python3-sphinx                   noarch 1:8.2.3-5.fc43       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.4 MiB
 python3-sphinx-autodoc-typehints noarch 3.1.0-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 118.8 KiB
Installing dependencies:
 abattis-cantarell-vf-fonts       noarch 0.301-14.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 192.7 KiB
 blosc                            x86_64 1.21.6-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 126.2 KiB
 cairo                            x86_64 1.18.4-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 default-fonts-core-sans          noarch 4.2-4.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.9 KiB
 dejavu-sans-fonts                noarch 2.37-25.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.5 MiB
 expat                            x86_64 2.7.1-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 294.2 KiB
 flexiblas                        x86_64 3.4.5-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  50.4 KiB
 flexiblas-netlib                 x86_64 3.4.5-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  10.9 MiB
 flexiblas-openblas-openmp        x86_64 3.4.5-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  39.2 KiB
 fontconfig                       x86_64 2.16.2-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 760.8 KiB
 fonts-filesystem                 noarch 1:2.0.5-22.fc43      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 freetype                         x86_64 2.13.3-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 858.2 KiB
 fribidi                          x86_64 1.0.16-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 194.3 KiB
 glib2                            x86_64 2.85.0-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  14.7 MiB
 google-noto-fonts-common         noarch 20250501-1.fc43      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  17.7 KiB
 google-noto-sans-vf-fonts        noarch 20250501-1.fc43      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.4 MiB
 graphite2                        x86_64 1.3.14-18.fc42       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 195.8 KiB
 harfbuzz                         x86_64 11.2.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.8 MiB
 hdf-libs                         x86_64 4.3.0-3.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 687.1 KiB
 hdf5                             x86_64 1.14.6-3.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.4 MiB
 jbigkit-libs                     x86_64 2.1-31.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 121.4 KiB
 lcms2                            x86_64 2.16-5.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 437.7 KiB
 libX11                           x86_64 1.8.11-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.3 MiB
 libX11-common                    noarch 1.8.11-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 libXau                           x86_64 1.0.12-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  76.9 KiB
 libXext                          x86_64 1.3.6-3.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  90.0 KiB
 libXrender                       x86_64 0.9.12-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  50.0 KiB
 libaec                           x86_64 1.1.3-2.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  97.9 KiB
 libb2                            x86_64 0.98.1-13.fc42       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  46.1 KiB
 libgfortran                      x86_64 15.1.1-2.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.3 MiB
 libimagequant                    x86_64 4.0.3-7.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 704.3 KiB
 libjpeg-turbo                    x86_64 3.1.0-2.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 803.2 KiB
 liblerc                          x86_64 4.0.0-8.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 636.1 KiB
 libpng                           x86_64 2:1.6.48-1.fc43      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 237.7 KiB
 libqhull_r                       x86_64 1:8.0.2-6.fc42       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 483.3 KiB
 libquadmath                      x86_64 15.1.1-2.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 317.9 KiB
 libraqm                          x86_64 0.10.1-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  28.6 KiB
 libtiff                          x86_64 4.7.0-3.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 619.1 KiB
 libtirpc                         x86_64 1.3.6-1.rc3.fc42.2   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 199.0 KiB
 libwebp                          x86_64 1.5.0-2.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 947.6 KiB
 libxcb                           x86_64 1.17.0-5.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 libzip                           x86_64 1.11.4-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 135.8 KiB
 lzo                              x86_64 2.10-14.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 170.9 KiB
 mpdecimal                        x86_64 4.0.1-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 217.2 KiB
 netcdf                           x86_64 4.9.2-13.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 openblas                         x86_64 0.3.29-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 111.7 KiB
 openblas-openmp                  x86_64 0.3.29-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  43.7 MiB
 openjpeg                         x86_64 2.5.3-6.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 451.8 KiB
 pixman                           x86_64 0.44.2-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 674.2 KiB
 pyproject-rpm-macros             noarch 1.18.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 114.5 KiB
 python-pip-wheel                 noarch 25.1.1-3.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 python-rpm-macros                noarch 3.13-5.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  22.1 KiB
 python3                          x86_64 3.13.3-3.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  28.7 KiB
 python3-babel                    noarch 2.17.0-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  30.2 MiB
 python3-boututils                noarch 0.2.1-8.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 434.3 KiB
 python3-cairo                    x86_64 1.25.1-6.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 497.1 KiB
 python3-certifi                  noarch 2024.08.30-2.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.8 KiB
 python3-cftime                   x86_64 1.6.4-4.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 628.2 KiB
 python3-charset-normalizer       noarch 3.4.2-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 330.1 KiB
 python3-contourpy                x86_64 1.3.2-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 838.8 KiB
 python3-cycler                   noarch 0.11.0-15.fc42       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  37.2 KiB
 python3-cython                   x86_64 3.0.12-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  18.5 MiB
 python3-dateutil                 noarch 1:2.9.0.post0-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 859.4 KiB
 python3-docutils                 noarch 0.21.2-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.9 MiB
 python3-fonttools                x86_64 4.58.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  18.3 MiB
 python3-idna                     noarch 3.10-2.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 628.0 KiB
 python3-imagesize                noarch 1.4.1-10.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  35.3 KiB
 python3-iniconfig                noarch 1.1.1-25.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.6 KiB
 python3-jinja2                   noarch 3.1.6-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.9 MiB
 python3-kiwisolver               x86_64 1.4.8-2.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 149.7 KiB
 python3-libs                     x86_64 3.13.3-3.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  39.9 MiB
 python3-markupsafe               x86_64 3.0.2-2.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  55.8 KiB
 python3-matplotlib               x86_64 3.10.3-6.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  31.0 MiB
 python3-matplotlib-data-fonts    x86_64 3.10.3-6.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   7.9 MiB
 python3-mpmath                   noarch 1.3.0-12.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.1 MiB
 python3-natsort                  noarch 8.4.0-3.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 252.2 KiB
 python3-netcdf4                  x86_64 1.7.2-3.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.4 MiB
 python3-numpy                    x86_64 1:2.2.6-1.fc43       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.3 MiB
 python3-numpy-f2py               x86_64 1:2.2.6-1.fc43       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.0 MiB
 python3-olefile                  noarch 0.47-6.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 339.5 KiB
 python3-packaging                noarch 25.0-1.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 563.4 KiB
 python3-pillow                   x86_64 11.2.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.0 MiB
 python3-platformdirs             noarch 4.2.2-4.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 162.0 KiB
 python3-pluggy                   noarch 1.5.0-2.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 192.7 KiB
 python3-pooch                    noarch 1.8.2-5.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 620.8 KiB
 python3-pygments                 noarch 2.19.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  10.8 MiB
 python3-pyparsing                noarch 3.1.2-8.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 996.4 KiB
 python3-requests                 noarch 2.32.3-12.fc43       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 483.4 KiB
 python3-roman-numerals-py        noarch 3.1.0-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  38.7 KiB
 python3-rpm-generators           noarch 14-12.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  81.7 KiB
 python3-rpm-macros               noarch 3.13-5.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.4 KiB
 python3-scipy                    x86_64 1.14.1-3.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  67.2 MiB
 python3-six                      noarch 1.17.0-2.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 116.9 KiB
 python3-snowballstemmer          noarch 3.0.1-4.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 python3-sphinx-theme-alabaster   noarch 0.7.16-6.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  41.9 KiB
 python3-sympy                    x86_64 1.14.0-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  79.2 MiB
 python3-urllib3                  noarch 2.4.0-2.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 snappy                           x86_64 1.2.2-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  71.8 KiB
 tzdata                           noarch 2025b-1.fc43         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 MiB
 xml-common                       noarch 0.6.3-66.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  78.4 KiB

Transaction Summary:
 Installing:       105 packages

Total size of inbound packages is 114 MiB. Need to download 103 MiB.
After this operation, 521 MiB extra will be used (install 521 MiB, remove 0 B).
[  1/105] python3-devel-0:3.13.3-3.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  2/105] python3-0:3.13.3-3.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  3/105] python3-packaging-0:25.0-1.fc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
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[ 17/105] python3-docutils-0:0.21.2-2.f 100% |  50.7 MiB/s |   1.0 MiB |  00m00s
[ 18/105] python3-babel-0:2.17.0-1.fc42 100% | 134.9 MiB/s |   6.7 MiB |  00m00s
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[ 28/105] python3-idna-0:3.10-2.fc42.no 100% |  27.3 MiB/s | 111.8 KiB |  00m00s
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[ 32/105] python3-markupsafe-0:3.0.2-2. 100% |   7.3 MiB/s |  30.1 KiB |  00m00s
[ 33/105] python3-boututils-0:0.2.1-8.f 100% |   8.5 MiB/s | 147.8 KiB |  00m00s
[ 34/105] python3-matplotlib-0:3.10.3-6 100% | 186.7 MiB/s |   7.7 MiB |  00m00s
[ 35/105] python3-natsort-0:8.4.0-3.fc4 100% |   1.9 MiB/s |  74.0 KiB |  00m00s
[ 36/105] python3-numpy-1:2.2.6-1.fc43. 100% | 183.8 MiB/s |   7.9 MiB |  00m00s
[ 37/105] python3-mpmath-0:1.3.0-12.fc4 100% |  40.5 MiB/s |   1.1 MiB |  00m00s
[ 38/105] python3-scipy-0:1.14.1-3.fc42 100% | 186.2 MiB/s |  17.1 MiB |  00m00s
[ 39/105] flexiblas-netlib-0:3.4.5-1.fc 100% |  58.4 MiB/s |   3.4 MiB |  00m00s
[ 40/105] libgfortran-0:15.1.1-2.fc43.x 100% |  77.9 MiB/s | 957.2 KiB |  00m00s
[ 41/105] python3-pooch-0:1.8.2-5.fc42. 100% |  24.5 MiB/s | 125.6 KiB |  00m00s
[ 42/105] python3-numpy-f2py-1:2.2.6-1. 100% |  43.9 MiB/s | 450.0 KiB |  00m00s
[ 43/105] python3-platformdirs-0:4.2.2- 100% |   5.0 MiB/s |  41.2 KiB |  00m00s
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[ 46/105] libqhull_r-1:8.0.2-6.fc42.x86 100% |  28.3 MiB/s | 202.6 KiB |  00m00s
[ 47/105] python3-cairo-0:1.25.1-6.fc43 100% |  12.4 MiB/s | 126.7 KiB |  00m00s
[ 48/105] python3-cycler-0:0.11.0-15.fc 100% |   2.1 MiB/s |  21.5 KiB |  00m00s
[ 49/105] python3-contourpy-0:1.3.2-1.f 100% |  14.1 MiB/s | 273.6 KiB |  00m00s
[ 50/105] python3-dateutil-1:2.9.0.post 100% |  19.1 MiB/s | 331.9 KiB |  00m00s
[ 51/105] python3-sympy-0:1.14.0-1.fc43 100% |  81.1 MiB/s |  15.1 MiB |  00m00s
[ 52/105] python3-kiwisolver-0:1.4.8-2. 100% |   3.5 MiB/s |  68.7 KiB |  00m00s
[ 53/105] python3-fonttools-0:4.58.1-1. 100% |  77.6 MiB/s |   3.0 MiB |  00m00s
[ 54/105] python3-pyparsing-0:3.1.2-8.f 100% |  29.4 MiB/s | 271.0 KiB |  00m00s
[ 55/105] python3-six-0:1.17.0-2.fc42.n 100% |   5.8 MiB/s |  41.3 KiB |  00m00s
[ 56/105] python3-pillow-0:11.2.1-1.fc4 100% |  45.4 MiB/s | 976.9 KiB |  00m00s
[ 57/105] python3-matplotlib-data-fonts 100% |  80.2 MiB/s |   2.3 MiB |  00m00s
[ 58/105] harfbuzz-0:11.2.1-1.fc43.x86_ 100% | 106.4 MiB/s |   1.1 MiB |  00m00s
[ 59/105] cairo-0:1.18.4-1.fc43.x86_64  100% |  44.5 MiB/s | 729.5 KiB |  00m00s
[ 60/105] flexiblas-0:3.4.5-1.fc43.x86_ 100% |   8.5 MiB/s |  26.2 KiB |  00m00s
[ 61/105] libpng-2:1.6.48-1.fc43.x86_64 100% |  17.2 MiB/s | 123.0 KiB |  00m00s
[ 62/105] flexiblas-openblas-openmp-0:3 100% |   4.2 MiB/s |  17.3 KiB |  00m00s
[ 63/105] libquadmath-0:15.1.1-2.fc43.x 100% |  38.7 MiB/s | 198.1 KiB |  00m00s
[ 64/105] fonts-filesystem-1:2.0.5-22.f 100% |   2.8 MiB/s |   8.7 KiB |  00m00s
[ 65/105] libX11-0:1.8.11-1.fc42.x86_64 100% |  53.3 MiB/s | 655.3 KiB |  00m00s
[ 66/105] fontconfig-0:2.16.2-1.fc43.x8 100% |  18.0 MiB/s | 258.5 KiB |  00m00s
[ 67/105] python3-netcdf4-0:1.7.2-3.fc4 100% |  15.2 MiB/s | 669.9 KiB |  00m00s
[ 68/105] libXext-0:1.3.6-3.fc42.x86_64 100% |   9.6 MiB/s |  39.3 KiB |  00m00s
[ 69/105] libXrender-0:0.9.12-2.fc42.x8 100% |   6.6 MiB/s |  26.9 KiB |  00m00s
[ 70/105] lzo-0:2.10-14.fc42.x86_64     100% |  16.8 MiB/s |  69.0 KiB |  00m00s
[ 71/105] libxcb-0:1.17.0-5.fc42.x86_64 100% |  32.7 MiB/s | 234.1 KiB |  00m00s
[ 72/105] pixman-0:0.44.2-2.fc42.x86_64 100% |  45.2 MiB/s | 277.4 KiB |  00m00s
[ 73/105] lcms2-0:2.16-5.fc42.x86_64    100% |  22.5 MiB/s | 184.1 KiB |  00m00s
[ 74/105] libjpeg-turbo-0:3.1.0-2.fc42. 100% |  38.5 MiB/s | 236.2 KiB |  00m00s
[ 75/105] libraqm-0:0.10.1-2.fc42.x86_6 100% |   4.4 MiB/s |  22.5 KiB |  00m00s
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[ 78/105] libwebp-0:1.5.0-2.fc42.x86_64 100% |  34.8 MiB/s | 320.6 KiB |  00m00s
[ 79/105] python3-olefile-0:0.47-6.fc42 100% |   9.1 MiB/s |  74.6 KiB |  00m00s
[ 80/105] openjpeg-0:2.5.3-6.fc42.x86_6 100% |  17.1 MiB/s | 192.8 KiB |  00m00s
[ 81/105] python3-certifi-0:2024.08.30- 100% |   2.3 MiB/s |  14.4 KiB |  00m00s
[ 82/105] netcdf-0:4.9.2-13.fc43.x86_64 100% |  66.6 MiB/s | 819.0 KiB |  00m00s
[ 83/105] blosc-0:1.21.6-6.fc42.x86_64  100% |   5.2 MiB/s |  58.4 KiB |  00m00s
[ 84/105] python3-cftime-0:1.6.4-4.fc42 100% |   9.8 MiB/s | 229.9 KiB |  00m00s
[ 85/105] libaec-0:1.1.3-2.fc42.x86_64  100% |   7.3 MiB/s |  37.3 KiB |  00m00s
[ 86/105] libzip-0:1.11.4-1.fc43.x86_64 100% |   8.5 MiB/s |  69.9 KiB |  00m00s
[ 87/105] libXau-0:1.0.12-2.fc42.x86_64 100% |   6.6 MiB/s |  33.6 KiB |  00m00s
[ 88/105] hdf5-0:1.14.6-3.fc43.x86_64   100% |  83.4 MiB/s |   2.0 MiB |  00m00s
[ 89/105] jbigkit-libs-0:2.1-31.fc42.x8 100% |  10.4 MiB/s |  53.3 KiB |  00m00s
[ 90/105] python3-cython-0:3.0.12-1.fc4 100% |  84.4 MiB/s |   4.0 MiB |  00m00s
[ 91/105] liblerc-0:4.0.0-8.fc42.x86_64 100% |  26.4 MiB/s | 216.7 KiB |  00m00s
[ 92/105] fribidi-0:1.0.16-2.fc42.x86_6 100% |   6.5 MiB/s |  53.6 KiB |  00m00s
[ 93/105] libX11-common-0:1.8.11-1.fc42 100% |  23.6 MiB/s | 145.1 KiB |  00m00s
[ 94/105] graphite2-0:1.3.14-18.fc42.x8 100% |  10.4 MiB/s |  95.8 KiB |  00m00s
[ 95/105] default-fonts-core-sans-0:4.2 100% |   2.7 MiB/s |  25.2 KiB |  00m00s
[ 96/105] xml-common-0:0.6.3-66.fc42.no 100% |   4.4 MiB/s |  31.2 KiB |  00m00s
[ 97/105] glib2-0:2.85.0-1.fc43.x86_64  100% | 132.5 MiB/s |   3.0 MiB |  00m00s
[ 98/105] abattis-cantarell-vf-fonts-0: 100% |  16.8 MiB/s | 120.3 KiB |  00m00s
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[101/105] openblas-0:0.3.29-1.fc42.x86_ 100% |   8.3 MiB/s |  42.3 KiB |  00m00s
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[104/105] hdf-libs-0:4.3.0-3.fc42.x86_6 100% |  28.7 MiB/s | 294.1 KiB |  00m00s
[105/105] openblas-openmp-0:0.3.29-1.fc 100% | 109.6 MiB/s |   5.4 MiB |  00m00s
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[105/105] Total                         100% | 172.8 MiB/s | 103.0 MiB |  00m01s
Running transaction
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[ 10/107] Installing libpng-2:1.6.48-1. 100% |  77.8 MiB/s | 239.0 KiB |  00m00s
[ 11/107] Installing tzdata-0:2025b-1.f 100% |  67.6 MiB/s |   1.9 MiB |  00m00s
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[ 17/107] Installing hdf-libs-0:4.3.0-3 100% | 336.1 MiB/s | 688.3 KiB |  00m00s
[ 18/107] Installing google-noto-fonts- 100% |   0.0   B/s |  18.5 KiB |  00m00s
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[ 23/107] Installing snappy-0:1.2.2-1.f 100% |  71.8 MiB/s |  73.5 KiB |  00m00s
[ 24/107] Installing blosc-0:1.21.6-6.f 100% |  25.2 MiB/s | 129.0 KiB |  00m00s
[ 25/107] Installing xml-common-0:0.6.3 100% |  79.2 MiB/s |  81.1 KiB |  00m00s
[ 26/107] Installing graphite2-0:1.3.14 100% |  14.9 MiB/s | 197.9 KiB |  00m00s
[ 27/107] Installing glib2-0:2.85.0-1.f 100% | 306.7 MiB/s |  14.7 MiB |  00m00s
[ 28/107] Installing freetype-0:2.13.3- 100% | 279.9 MiB/s | 859.9 KiB |  00m00s
[ 29/107] Installing harfbuzz-0:11.2.1- 100% | 349.3 MiB/s |   2.8 MiB |  00m00s
[ 30/107] Installing fontconfig-0:2.16. 100% | 753.7 KiB/s | 780.1 KiB |  00m01s
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[ 32/107] Installing fribidi-0:1.0.16-2 100% |  16.0 MiB/s | 196.8 KiB |  00m00s
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[ 34/107] Installing liblerc-0:4.0.0-8. 100% | 311.3 MiB/s | 637.6 KiB |  00m00s
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[ 36/107] Installing libtiff-0:4.7.0-3. 100% | 303.4 MiB/s | 621.3 KiB |  00m00s
[ 37/107] Installing libXau-0:1.0.12-2. 100% |  76.6 MiB/s |  78.5 KiB |  00m00s
[ 38/107] Installing libxcb-0:1.17.0-5. 100% | 270.1 MiB/s |   1.1 MiB |  00m00s
[ 39/107] Installing libX11-0:1.8.11-1. 100% | 321.4 MiB/s |   1.3 MiB |  00m00s
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[ 43/107] Installing netcdf-0:4.9.2-13. 100% | 130.6 MiB/s |   2.4 MiB |  00m00s
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[ 50/107] Installing libquadmath-0:15.1 100% | 311.7 MiB/s | 319.2 KiB |  00m00s
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[ 67/107] Installing python3-cftime-0:1 100% | 154.3 MiB/s | 632.1 KiB |  00m00s
[ 68/107] Installing python3-babel-0:2. 100% | 345.5 MiB/s |  30.4 MiB |  00m00s
[ 69/107] Installing python3-docutils-0 100% | 172.1 MiB/s |   5.0 MiB |  00m00s
[ 70/107] Installing python3-imagesize- 100% |  18.7 MiB/s |  38.3 KiB |  00m00s
[ 71/107] Installing python3-pygments-0 100% | 229.9 MiB/s |  11.0 MiB |  00m00s
[ 72/107] Installing python3-roman-nume 100% |  40.7 MiB/s |  41.6 KiB |  00m00s
[ 73/107] Installing python3-snowballst 100% | 367.6 MiB/s |   1.8 MiB |  00m00s
[ 74/107] Installing python3-sphinx-the 100% |  45.3 MiB/s |  46.4 KiB |  00m00s
[ 75/107] Installing python3-charset-no 100% |  25.6 MiB/s | 340.2 KiB |  00m00s
[ 76/107] Installing python3-requests-0 100% | 242.0 MiB/s | 495.7 KiB |  00m00s
[ 77/107] Installing python3-iniconfig- 100% |  23.0 MiB/s |  23.5 KiB |  00m00s
[ 78/107] Installing python3-pluggy-0:1 100% | 194.3 MiB/s | 199.0 KiB |  00m00s
[ 79/107] Installing python3-markupsafe 100% |  58.5 MiB/s |  59.9 KiB |  00m00s
[ 80/107] Installing python3-jinja2-0:3 100% | 323.7 MiB/s |   2.9 MiB |  00m00s
[ 81/107] Installing python3-sphinx-1:8 100% | 203.7 MiB/s |  11.6 MiB |  00m00s
[ 82/107] Installing python3-natsort-0: 100% |  19.6 MiB/s | 261.5 KiB |  00m00s
[ 83/107] Installing python3-mpmath-0:1 100% | 246.8 MiB/s |   5.2 MiB |  00m00s
[ 84/107] Installing python3-sympy-0:1. 100% | 324.6 MiB/s |  80.2 MiB |  00m00s
[ 85/107] Installing python3-platformdi 100% |  82.2 MiB/s | 168.4 KiB |  00m00s
[ 86/107] Installing python3-pooch-0:1. 100% |  88.7 MiB/s | 635.8 KiB |  00m00s
[ 87/107] Installing python3-scipy-0:1. 100% | 395.1 MiB/s |  67.6 MiB |  00m00s
[ 88/107] Installing python3-cairo-0:1. 100% | 244.7 MiB/s | 501.2 KiB |  00m00s
[ 89/107] Installing python3-cycler-0:0 100% |  19.3 MiB/s |  39.5 KiB |  00m00s
[ 90/107] Installing python3-fonttools- 100% | 362.8 MiB/s |  18.5 MiB |  00m00s
[ 91/107] Installing python3-kiwisolver 100% | 150.0 MiB/s | 153.6 KiB |  00m00s
[ 92/107] Installing python3-pyparsing- 100% | 327.1 MiB/s |   1.0 MiB |  00m00s
[ 93/107] Installing python3-six-0:1.17 100% | 116.2 MiB/s | 119.0 KiB |  00m00s
[ 94/107] Installing python3-dateutil-1 100% | 284.2 MiB/s | 872.9 KiB |  00m00s
[ 95/107] Installing python3-olefile-0: 100% | 167.3 MiB/s | 342.7 KiB |  00m00s
[ 96/107] Installing python3-pillow-0:1 100% | 311.7 MiB/s |   4.1 MiB |  00m00s
[ 97/107] Installing python3-certifi-0: 100% |   5.1 MiB/s |  10.4 KiB |  00m00s
[ 98/107] Installing python3-cython-0:3 100% | 300.0 MiB/s |  18.6 MiB |  00m00s
[ 99/107] Installing python3-netcdf4-0: 100% | 401.5 MiB/s |   2.4 MiB |  00m00s
[100/107] Installing python3-matplotlib 100% | 416.5 MiB/s |   7.9 MiB |  00m00s
[101/107] Installing libqhull_r-1:8.0.2 100% | 157.6 MiB/s | 484.1 KiB |  00m00s
[102/107] Installing python3-matplotlib 100% | 433.8 MiB/s |  31.2 MiB |  00m00s
[103/107] Installing python3-boututils- 100% | 148.8 MiB/s | 457.0 KiB |  00m00s
[104/107] Installing python3-boutdata-0 100% |  38.9 MiB/s | 557.0 KiB |  00m00s
[105/107] Installing python3-sphinx-aut 100% |  60.3 MiB/s | 123.6 KiB |  00m00s
[106/107] Installing python3-pytest-0:8 100% | 377.0 MiB/s |  21.1 MiB |  00m00s
[107/107] Installing python3-devel-0:3. 100% |  17.2 MiB/s |   1.8 MiB |  00m00s
Warning: skipped OpenPGP checks for 105 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Finish: build setup for python-xbout-0.3.6-5.fc43.src.rpm
Start: rpmbuild python-xbout-0.3.6-5.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.8p55mV
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.GXXThM
+ 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.XHfsVI
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement not satisfied: setuptools >= 65
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement not satisfied: setuptools_scm[toml] >= 7
Handling wheel >= 0.29.0 from build-system.requires
Requirement not satisfied: wheel >= 0.29.0
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |  27.9 KiB/s |   9.1 KiB |  00m00s
 Copr repository                        100% |  84.4 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 166.5 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.1-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc42.noarch" is already installed.
Package "python3-devel-3.13.3-3.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-1.fc43.noarch" is already installed.
Package "python3-packaging-25.0-1.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-5.fc43.noarch" is already installed.

Package                      Arch   Version          Repository                                                         Size
Installing:
 python3-pip                 noarch 25.1.1-3.fc43    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.6 MiB
 python3-setuptools          noarch 78.1.1-1.fc43    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.6 MiB
 python3-setuptools_scm      noarch 8.3.1-1.fc43     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 320.3 KiB
 python3-setuptools_scm+toml noarch 8.3.1-1.fc43     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   9.8 KiB
 python3-wheel               noarch 1:0.45.1-13.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 540.8 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-0:25.1.1-3.fc43.noarc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[2/5] python3-setuptools_scm+toml-0:8.3 100% | 496.7 KiB/s |   9.9 KiB |  00m00s
[3/5] python3-wheel-1:0.45.1-13.fc43.no 100% |  17.3 MiB/s | 159.6 KiB |  00m00s
[4/5] python3-setuptools_scm-0:8.3.1-1. 100% |   2.7 MiB/s | 102.1 KiB |  00m00s
[5/5] python3-setuptools-0:78.1.1-1.fc4 100% |  24.6 MiB/s |   1.8 MiB |  00m00s
--------------------------------------------------------------------------------
[5/5] Total                             100% |  27.1 MiB/s |   2.1 MiB |  00m00s
Running transaction
[1/7] Verify package files              100% | 833.0   B/s |   5.0   B |  00m00s
[2/7] Prepare transaction               100% | 178.0   B/s |   5.0   B |  00m00s
[3/7] Installing python3-setuptools-0:7 100% | 219.1 MiB/s |   8.8 MiB |  00m00s
[4/7] Installing python3-setuptools_scm 100% | 110.8 MiB/s | 340.3 KiB |  00m00s
[5/7] Installing python3-setuptools_scm 100% |   0.0   B/s | 124.0   B |  00m00s
[6/7] Installing python3-wheel-1:0.45.1 100% |  34.2 MiB/s | 560.8 KiB |  00m00s
[7/7] Installing python3-pip-0:25.1.1-3 100% | 146.0 MiB/s |  11.8 MiB |  00m00s
Warning: skipped OpenPGP checks for 5 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.qr7UVz
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (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/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  dist._finalize_license_expression()
/usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running egg_info
creating xbout.egg-info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
writing manifest file 'xbout.egg-info/SOURCES.txt'
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
/usr/lib/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  dist._finalize_license_expression()
/usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: xarray>=0.18.0
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.2.1)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: dask[array]>=2.10.0
Handling gelidum>=0.5.3 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: gelidum>=0.5.3
Handling natsort>=5.5.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: natsort>=5.5.0
   (installed: natsort 8.4.0)
Handling matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1
   (installed: matplotlib 3.10.3)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: animatplot-ng>=0.4.2
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.2.1)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/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-0.3.6-5.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |  27.9 KiB/s |   9.1 KiB |  00m00s
 Copr repository                        100% | 101.3 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 174.0 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.1-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc42.noarch" is already installed.
Package "python3-devel-3.13.3-3.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc42.noarch" is already installed.
Package "python3-natsort-8.4.0-3.fc42.noarch" is already installed.
Package "python3-netcdf4-1.7.2-3.fc42.x86_64" is already installed.
Package "python3-packaging-25.0-1.fc43.noarch" is already installed.
Package "python3-pillow-11.2.1-1.fc43.x86_64" is already installed.
Package "python3-pip-25.1.1-3.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-setuptools-78.1.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm-8.3.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.3.1-1.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-5.fc43.noarch" is already installed.
Package "python3-wheel-1:0.45.1-13.fc43.noarch" is already installed.

Package              Arch   Version                Repository                                                         Size
Installing:
 python3-animatplot  noarch 0.4.4-3.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 113.8 KiB
 python3-dask        noarch 2025.4.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  19.8 MiB
 python3-dask+array  noarch 2025.4.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.8 KiB
 python3-gelidum     noarch 0.7.0-6.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 111.5 KiB
 python3-xarray      noarch 2025.4.0-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  18.6 MiB
Installing dependencies:
 libyaml             x86_64 0.2.5-16.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 134.7 KiB
 python3-click       noarch 8.1.7-7.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 python3-cloudpickle noarch 3.1.1-3.fc43           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 128.1 KiB
 python3-fsspec      noarch 2025.5.1-1.fc43        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 python3-locket      noarch 1.0.0-12.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.6 KiB
 python3-pandas      x86_64 2.2.3-1.fc42~bootstrap http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  42.2 MiB
 python3-partd       noarch 1.4.2-3.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 163.3 KiB
 python3-pytz        noarch 2025.2-1.fc43          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 204.7 KiB
 python3-pyyaml      x86_64 6.0.2-2.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 781.0 KiB
 python3-toolz       noarch 1.0.0-2.fc42           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 605.8 KiB

Transaction Summary:
 Installing:        15 packages

Total size of inbound packages is 16 MiB. Need to download 16 MiB.
After this operation, 86 MiB extra will be used (install 86 MiB, remove 0 B).
[ 1/15] python3-animatplot-0:0.4.4-3.fc 100% |   1.4 MiB/s |  47.0 KiB |  00m00s
[ 2/15] python3-dask+array-0:2025.4.1-1 100% | 333.1 KiB/s |  12.7 KiB |  00m00s
[ 3/15] python3-gelidum-0:0.7.0-6.fc42. 100% |   4.9 MiB/s |  45.5 KiB |  00m00s
[ 4/15] python3-xarray-0:2025.4.0-1.fc4 100% |  50.7 MiB/s |   2.9 MiB |  00m00s
[ 5/15] python3-pandas-0:2.2.3-1.fc42~b 100% | 124.1 MiB/s |   7.8 MiB |  00m00s
[ 6/15] python3-pytz-0:2025.2-1.fc43.no 100% |   4.7 MiB/s |  57.3 KiB |  00m00s
[ 7/15] python3-click-0:8.1.7-7.fc42.no 100% |  32.5 MiB/s | 232.6 KiB |  00m00s
[ 8/15] python3-fsspec-0:2025.5.1-1.fc4 100% |  59.5 MiB/s | 426.6 KiB |  00m00s
[ 9/15] python3-cloudpickle-0:3.1.1-3.f 100% |   2.4 MiB/s |  47.6 KiB |  00m00s
[10/15] python3-partd-0:1.4.2-3.fc42.no 100% |   6.7 MiB/s |  54.7 KiB |  00m00s
[11/15] python3-pyyaml-0:6.0.2-2.fc42.x 100% |  35.7 MiB/s | 219.4 KiB |  00m00s
[12/15] libyaml-0:0.2.5-16.fc42.x86_64  100% |  11.9 MiB/s |  60.7 KiB |  00m00s
[13/15] python3-toolz-0:1.0.0-2.fc42.no 100% |  16.9 MiB/s | 156.2 KiB |  00m00s
[14/15] python3-dask-0:2025.4.1-1.fc43. 100% |  21.7 MiB/s |   3.5 MiB |  00m00s
[15/15] python3-locket-0:1.0.0-12.fc42. 100% | 660.3 KiB/s |  17.8 KiB |  00m00s
--------------------------------------------------------------------------------
[15/15] Total                           100% |  91.9 MiB/s |  15.5 MiB |  00m00s
Running transaction
[ 1/17] Verify package files            100% | 681.0   B/s |  15.0   B |  00m00s
[ 2/17] Prepare transaction             100% | 365.0   B/s |  15.0   B |  00m00s
[ 3/17] Installing python3-toolz-0:1.0. 100% | 152.6 MiB/s | 625.1 KiB |  00m00s
[ 4/17] Installing python3-locket-0:1.0 100% |   0.0   B/s |  23.0 KiB |  00m00s
[ 5/17] Installing python3-partd-0:1.4. 100% | 168.5 MiB/s | 172.6 KiB |  00m00s
[ 6/17] Installing libyaml-0:0.2.5-16.f 100% | 132.9 MiB/s | 136.0 KiB |  00m00s
[ 7/17] Installing python3-pyyaml-0:6.0 100% | 258.7 MiB/s | 794.8 KiB |  00m00s
[ 8/17] Installing python3-fsspec-0:202 100% | 266.9 MiB/s |   1.9 MiB |  00m00s
[ 9/17] Installing python3-cloudpickle- 100% | 128.8 MiB/s | 131.9 KiB |  00m00s
[10/17] Installing python3-click-0:8.1. 100% | 264.8 MiB/s |   1.1 MiB |  00m00s
[11/17] Installing python3-dask-0:2025. 100% | 270.0 MiB/s |  20.0 MiB |  00m00s
[12/17] Installing python3-pytz-0:2025. 100% |  68.3 MiB/s | 209.9 KiB |  00m00s
[13/17] Installing python3-pandas-0:2.2 100% | 404.2 MiB/s |  42.4 MiB |  00m00s
[14/17] Installing python3-xarray-0:202 100% | 399.0 MiB/s |  18.8 MiB |  00m00s
[15/17] Installing python3-dask+array-0 100% |   0.0   B/s | 124.0   B |  00m00s
[16/17] Installing python3-gelidum-0:0. 100% |  60.2 MiB/s | 123.3 KiB |  00m00s
[17/17] Installing python3-animatplot-0 100% |   6.1 MiB/s | 125.3 KiB |  00m00s
Warning: skipped OpenPGP checks for 15 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.KvQrwH
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (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/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  dist._finalize_license_expression()
/usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running egg_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
/usr/lib/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  dist._finalize_license_expression()
/usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: xarray>=0.18.0
   (installed: xarray 2025.4.0)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.2.1)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement 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 3.10.3)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.4)
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.2.1)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/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-0.3.6-5.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |  62.4 KiB/s |   9.1 KiB |  00m00s
 Copr repository                        100% |  84.4 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 153.2 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% | 417.4 KiB/s |  10.9 KiB |  00m00s
Repositories loaded.
Nothing to do.
Package "pyproject-rpm-macros-1.18.1-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc42.noarch" is already installed.
Package "python3-devel-3.13.3-3.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-1.fc43.noarch" is already installed.
Package "python3-animatplot-0.4.4-3.fc42.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc42.noarch" is already installed.
Package "python3-dask-2025.4.1-1.fc43.noarch" is already installed.
Package "python3-dask+array-2025.4.1-1.fc43.noarch" is already installed.
Package "python3-gelidum-0.7.0-6.fc42.noarch" is already installed.
Package "python3-natsort-8.4.0-3.fc42.noarch" is already installed.
Package "python3-netcdf4-1.7.2-3.fc42.x86_64" is already installed.
Package "python3-packaging-25.0-1.fc43.noarch" is already installed.
Package "python3-pillow-11.2.1-1.fc43.x86_64" is already installed.
Package "python3-pip-25.1.1-3.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-setuptools-78.1.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm-8.3.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.3.1-1.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-5.fc43.noarch" is already installed.
Package "python3-wheel-1:0.45.1-13.fc43.noarch" is already installed.
Package "python3-xarray-2025.4.0-1.fc43.noarch" is already installed.

Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.Pg7QtF
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (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/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  dist._finalize_license_expression()
/usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running egg_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
/usr/lib/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

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

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

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

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  dist._finalize_license_expression()
/usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

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

        License :: OSI Approved :: Apache Software License

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

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: xarray>=0.18.0
   (installed: xarray 2025.4.0)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.2.1)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement 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 3.10.3)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.4)
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.2.1)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/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.mDIfjI
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd xbout-0.3.6
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir
Processing /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  /usr/lib/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

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

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

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

  !!
    corresp(dist, value, root_dir)
  /usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

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

          License :: OSI Approved :: Apache Software License

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

  !!
    dist._finalize_license_expression()
  /usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

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

          License :: OSI Approved :: Apache Software License

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

  !!
    self._finalize_license_expression()
  running dist_info
  creating /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-ekdtrjfo/xbout.egg-info
  writing /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-ekdtrjfo/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-ekdtrjfo/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-ekdtrjfo/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-ekdtrjfo/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-ekdtrjfo/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-ekdtrjfo/xbout.egg-info/SOURCES.txt'
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-ekdtrjfo/xbout-0.3.6.dist-info'
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: xbout
  Building wheel for xbout (pyproject.toml): started
  Running command Building wheel for xbout (pyproject.toml)
  /usr/lib/python3.13/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

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

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

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

  !!
    corresp(dist, value, root_dir)
  /usr/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

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

          License :: OSI Approved :: Apache Software License

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

  !!
    dist._finalize_license_expression()
  /usr/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

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

          License :: OSI Approved :: Apache Software License

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

  !!
    self._finalize_license_expression()
  running bdist_wheel
  running build
  running build_py
  creating build/lib/xbout
  copying xbout/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/python3.13/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.calc.tests' is absent from the `packages` configuration.
  !!

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

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

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

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

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

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

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

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


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

  !!
    check.warn(importable)
  /usr/lib/python3.13/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests' is absent from the `packages` configuration.
  !!

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

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

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

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

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

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

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

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


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

  !!
    check.warn(importable)
  /usr/lib/python3.13/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests.data.options' is absent from the `packages` configuration.
  !!

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

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

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

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

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

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

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

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


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

  !!
    check.warn(importable)
  /usr/lib/python3.13/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests.data.restart' is absent from the `packages` configuration.
  !!

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

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

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

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

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

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

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

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


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

  !!
    check.warn(importable)
  /usr/lib/python3.13/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests.inputs' is absent from the `packages` configuration.
  !!

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

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

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

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

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

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

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

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


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

  !!
    check.warn(importable)
  creating build/lib/xbout/tests
  copying xbout/tests/__init__.py -> build/lib/xbout/tests
  copying xbout/tests/conftest.py -> build/lib/xbout/tests
  copying xbout/tests/test_against_collect.py -> build/lib/xbout/tests
  copying xbout/tests/test_animate.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataarray.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataset.py -> build/lib/xbout/tests
  copying xbout/tests/test_fastoutput.py -> build/lib/xbout/tests
  copying xbout/tests/test_geometries.py -> build/lib/xbout/tests
  copying xbout/tests/test_grid.py -> build/lib/xbout/tests
  copying xbout/tests/test_init.py -> build/lib/xbout/tests
  copying xbout/tests/test_load.py -> build/lib/xbout/tests
  copying xbout/tests/test_plot.py -> build/lib/xbout/tests
  copying xbout/tests/test_region.py -> build/lib/xbout/tests
  copying xbout/tests/test_utils.py -> build/lib/xbout/tests
  copying xbout/tests/utils_for_tests.py -> build/lib/xbout/tests
  creating build/lib/xbout/tests/data/options
  copying xbout/tests/data/options/BOUT.inp -> build/lib/xbout/tests/data/options
  creating build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.0.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.1.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/README.md -> build/lib/xbout/tests/data/restart
  creating build/lib/xbout/tests/inputs
  copying xbout/tests/inputs/s-alpha.inp -> build/lib/xbout/tests/inputs
  creating build/lib/xbout/calc/tests
  copying xbout/calc/tests/test_turbulence.py -> build/lib/xbout/calc/tests
  installing to build/bdist.linux-x86_64/wheel
  running install
  running install_lib
  creating build/bdist.linux-x86_64/wheel
  creating build/bdist.linux-x86_64/wheel/xbout
  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-py3.13.egg-info
  running install_scripts
  creating build/bdist.linux-x86_64/wheel/xbout-0.3.6.dist-info/WHEEL
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-wheel-qh45mih0/.tmp-kfboo3on/xbout-0.3.6-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
  adding 'xbout/__init__.py'
  adding 'xbout/_version.py'
  adding 'xbout/boutdataarray.py'
  adding 'xbout/boutdataset.py'
  adding 'xbout/conftest.py'
  adding 'xbout/fastoutput.py'
  adding 'xbout/geometries.py'
  adding 'xbout/load.py'
  adding 'xbout/region.py'
  adding 'xbout/utils.py'
  adding 'xbout/calc/__init__.py'
  adding 'xbout/calc/turbulence.py'
  adding 'xbout/calc/tests/test_turbulence.py'
  adding 'xbout/plotting/__init__.py'
  adding 'xbout/plotting/animate.py'
  adding 'xbout/plotting/plotfuncs.py'
  adding 'xbout/plotting/utils.py'
  adding 'xbout/tests/__init__.py'
  adding 'xbout/tests/conftest.py'
  adding 'xbout/tests/test_against_collect.py'
  adding 'xbout/tests/test_animate.py'
  adding 'xbout/tests/test_boutdataarray.py'
  adding 'xbout/tests/test_boutdataset.py'
  adding 'xbout/tests/test_fastoutput.py'
  adding 'xbout/tests/test_geometries.py'
  adding 'xbout/tests/test_grid.py'
  adding 'xbout/tests/test_init.py'
  adding 'xbout/tests/test_load.py'
  adding 'xbout/tests/test_plot.py'
  adding 'xbout/tests/test_region.py'
  adding 'xbout/tests/test_utils.py'
  adding 'xbout/tests/utils_for_tests.py'
  adding 'xbout/tests/data/options/BOUT.inp'
  adding 'xbout/tests/data/restart/BOUT.restart.0.nc'
  adding 'xbout/tests/data/restart/BOUT.restart.1.nc'
  adding 'xbout/tests/data/restart/README.md'
  adding 'xbout/tests/inputs/s-alpha.inp'
  adding 'xbout-0.3.6.dist-info/licenses/LICENSE'
  adding 'xbout-0.3.6.dist-info/METADATA'
  adding 'xbout-0.3.6.dist-info/WHEEL'
  adding 'xbout-0.3.6.dist-info/top_level.txt'
  adding 'xbout-0.3.6.dist-info/RECORD'
  removing build/bdist.linux-x86_64/wheel
  Building wheel for xbout (pyproject.toml): finished with status 'done'
  Created wheel for xbout: filename=xbout-0.3.6-py3-none-any.whl size=140106 sha256=c75ba861ba0d303bcfbc259095590a5a6b92062223760d6e93035c41d5443a4f
  Stored in directory: /builddir/.cache/pip/wheels/c6/1a/be/25155f390e63f3ebd7eded5b4709779bc49b302869cf0ef5d8
Successfully built xbout
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
+ sphinx-build-3 docs html
Running Sphinx v8.2.3
loading translations [en]... done
making output directory... done
Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`.
[autosummary] generating autosummary for: accessor_methods.rst, api.rst, extending_xbout.rst, index.rst, loading_data.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.utils.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.BoutDataArrayAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.BoutDatasetAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_addoption.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_collection_modifyitems.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_configure.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.open_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.UnregisteredGeometryError.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_fci_geometry_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_s_alpha_geometry_coords.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_grid.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_init.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rms.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_line.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_pcolormesh.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_poloidal.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot2d_wrapper.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot3d.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot_regions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrices.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrix.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_targets.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_check_extensions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_set_fci_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.TestPlot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.TestRegion.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.TestUtils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds_list.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_grid_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.load_example_input.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.set_geometry_from_input_file.rst
loading intersphinx inventory 'python' from https://docs.python.org/3/objects.inv ...
loading intersphinx inventory 'numpy' from https://numpy.org/doc/stable/objects.inv ...
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loading intersphinx inventory 'xarray' from https://docs.xarray.dev/en/latest/objects.inv ...
loading intersphinx inventory 'mayavi' from https://docs.enthought.com/mayavi/mayavi/objects.inv ...
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://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 0x7f34c0b09090>: Failed to resolve 'numpy.org' ([Errno -3] Temporary failure in name resolution)"))
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intersphinx inventory 'https://docs.scipy.org/doc/scipy/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.scipy.org', port=443): Max retries exceeded with url: /doc/scipy/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f34c0a4dbd0>: Failed to resolve 'docs.scipy.org' ([Errno -3] Temporary failure in name resolution)"))
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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 0x7f34c0a4d6d0>: Failed to resolve 'docs.enthought.com' ([Errno -3] Temporary failure in name resolution)"))
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.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 0x7f34c0a4e710>: Failed to resolve 'docs.xarray.dev' ([Errno -3] Temporary failure in name resolution)"))
building [mo]: targets for 0 po files that are out of date
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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
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reading sources... [  8%] generated/xbout.boutdataset.BoutDatasetAccessor
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reading sources... [ 10%] generated/xbout.calc.turbulence.rms
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writing output... [ 62%] generated/xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset
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writing output... [ 69%] generated/xbout.tests.test_fastoutput.TestFastOutput
writing output... [ 70%] generated/xbout.tests.test_fastoutput.make_fastoutput
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writing output... [ 71%] generated/xbout.tests.test_geometries
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writing output... [ 74%] generated/xbout.tests.test_grid.TestOpenGrid
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writing output... [ 77%] generated/xbout.tests.test_init.test_version
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writing output... [ 79%] generated/xbout.tests.test_load.TestArrange
writing output... [ 80%] generated/xbout.tests.test_load.TestOpen
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writing output... [ 92%] generated/xbout.tests.utils_for_tests
writing output... [ 93%] generated/xbout.tests.utils_for_tests.create_bout_ds
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writing output... [ 99%] index
writing output... [100%] loading_data

/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.Dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.DataArray [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:3: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:14: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:16: WARNING: 'any' reference target not found: scipy.interpolate.RegularGridInterpolator [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.integrate_midpoints:36: WARNING: 'any' reference target not found: ... [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:3: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:18: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:21: WARNING: 'any' reference target not found: scipy.interpolate.RegularGridInterpolator [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:20: WARNING: 'any' reference target not found: xarray.open_dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:94: WARNING: 'any' reference target not found: xarray.open_mfdataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:94: WARNING: 'any' reference target not found: xarray.open_dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/plotting/plotfuncs.py:docstring of xbout.plotting.plotfuncs.plot2d_wrapper:3: WARNING: 'any' reference target not found: xarray.DataArray.plot [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/plotting/plotfuncs.py:docstring of xbout.plotting.plotfuncs.plot3d:68: WARNING: 'any' reference target not found: mayavi.mlab.view [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/loading_data.rst:12: WARNING: 'any' reference target not found: xarray.Dataset [ref.any]
generating indices... genindex py-modindex done
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highlighting module code... [  8%] xbout.boutdataset
highlighting module code... [ 12%] xbout.calc.turbulence
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writing additional pages... search done
copying images... [100%] images/n_over_t.gif

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

The HTML pages are in html.
+ rm -rf html/.doctrees html/.buildinfo
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.E4YnMh
+ 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 25.1.1 from /usr/lib/python3.13/site-packages/pip (python 3.13)
Looking in links: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir
Processing ./pyproject-wheeldir/xbout-0.3.6-py3-none-any.whl
Installing collected packages: xbout
Successfully installed xbout-0.3.6
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ site_dirs+=("/usr/lib/python3.13/site-packages")
+ '[' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.13/site-packages ']'
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --record /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/RECORD --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/RECORD
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-ghost-distinfo
++ cut -f1 '-d '
+ lines=1
+ '[' 1 -ne 1 ']'
+ RPM_FILES_ESCAPE=4.19
+ /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-record --prefix /usr xbout
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/brp-strip /usr/bin/strip
+ /usr/lib/rpm/brp-strip-comment-note /usr/bin/strip /usr/bin/objdump
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/check-rpaths
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
Bytecompiling .py files below /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13 using python3.13
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/utils.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/region.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/load.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/boutdataset.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/geometries.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/load.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/conftest.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/fastoutput.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/_version.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/__init__.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/geometries.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/utils_for_tests.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_utils.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/boutdataarray.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_utils.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_region.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_plot.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_init.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_load.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_init.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_load.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_geometries.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_grid.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_geometries.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_animate.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/__init__.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/conftest.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/__init__.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_animate.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/calc/__pycache__/turbulence.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/utils.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/calc/__pycache__/__init__.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/calc/tests/__pycache__/test_turbulence.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/animate.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/plotfuncs.cpython-313.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.7Ta4JL
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd xbout-0.3.6
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ PATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.13/site-packages:/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages
+ PYTHONDONTWRITEBYTECODE=1
+ PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir'
+ PYTEST_XDIST_AUTO_NUM_WORKERS=4
+ /usr/bin/pytest xbout --long --durations=0
============================= test session starts ==============================
platform linux -- Python 3.13.3, pytest-8.3.5, pluggy-1.5.0
rootdir: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
configfile: pyproject.toml
collected 796 items

xbout/calc/tests/test_turbulence.py .....                                [  0%]
xbout/tests/test_against_collect.py FFFFF...                             [  1%]
xbout/tests/test_animate.py EEEEEEEEEEEEEEEEEEEEEEEsEEEEEEEEEEEEEEE      [  6%]
xbout/tests/test_boutdataarray.py FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 11%]
FFFFFFFFFFFFFFFFFF                                                       [ 13%]
xbout/tests/test_boutdataset.py FFFFFFFFFFFFFFFFFFFFFF.FFFFFFFFFFFFFFFFF [ 18%]
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 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05336a6e00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls0] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053577dba0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls1] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533696740>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls2] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05339bb2e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls3] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053534a1a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls4] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b47520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls5] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05353dfbe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________________ ERROR at setup of TestAnimate.test_animate1D _________________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053409c460>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls0] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534380d00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls1] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535362e60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls2] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053593ffa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls3] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533de99c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls4] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533abf7c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls5] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05354316c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ ERROR at setup of TestAnimate.test_animate_list ________________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a659c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ ERROR at setup of TestAnimate.test_animate_list_1d_default __________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343a5a20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________ ERROR at setup of TestAnimate.test_animate_list_1d_multiline _________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05357c6a40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________ ERROR at setup of TestAnimate.test_animate_list_animate_over _________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05353eea40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ ERROR at setup of TestAnimate.test_animate_list_save_as ____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053409d780>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ ERROR at setup of TestAnimate.test_animate_list_fps ______________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ff2500>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ ERROR at setup of TestAnimate.test_animate_list_nrows _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ff3220>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ ERROR at setup of TestAnimate.test_animate_list_ncols _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05357a9c60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____ ERROR at setup of TestAnimate.test_animate_list_not_enough_nrowsncols _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533825a20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_______ ERROR at setup of TestAnimate.test_animate_list_subplots_adjust ________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05353493c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ ERROR at setup of TestAnimate.test_animate_list_vmin _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053391e440>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ ERROR at setup of TestAnimate.test_animate_list_vmin_list ___________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ad9600>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ ERROR at setup of TestAnimate.test_animate_list_vmax _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b42740>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ ERROR at setup of TestAnimate.test_animate_list_vmax_list ___________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05353f4b20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ ERROR at setup of TestAnimate.test_animate_list_logscale ___________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053545e800>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________ ERROR at setup of TestAnimate.test_animate_list_logscale_float ________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05357c6560>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________ ERROR at setup of TestAnimate.test_animate_list_logscale_list _________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a4e3e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________ ERROR at setup of TestAnimate.test_animate_list_titles_list __________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a64c40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls0] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a4ce80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls1] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05336973a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls2] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053535d660>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls3] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533dd6b60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls4] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053534afe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls5] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533c45000>
dims = ()

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

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

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f0536072ad0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_against_collect.py:26: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053585a8c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 1, nype = 1, npes = 1

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


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_x ___________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f0536072fd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_against_collect.py:54: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05339ba920>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 3, nype = 1, npes = 3

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

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

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


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_y ___________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f0536062190>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_against_collect.py:82: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535430d60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 1, nype = 3, npes = 3

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

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

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


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_xy __________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f0536062060>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_against_collect.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b086a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 3, nype = 3, npes = 9

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

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

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

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

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

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

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

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

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


_________________ TestAccuracyAgainstOldCollect.test_metadata __________________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f0535d4e690>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

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

xbout/tests/test_against_collect.py:131: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05339cb340>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360739d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:20: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533d6aaa0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0536073b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 0, myg = 0, remove_extra_upper = False

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05357aca60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-0-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0536063490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 2, myg = 0, remove_extra_upper = False

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053438f520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-2-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360636f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 0, myg = 2, remove_extra_upper = False

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533acf940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-2-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535dc9130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 2, myg = 2, remove_extra_upper = False

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b8f5e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-0-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360da030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 0, myg = 0, remove_extra_upper = True

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ace680>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-0-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360d9ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 2, myg = 0, remove_extra_upper = True

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b81960>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-2-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360ced50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 0, myg = 2, remove_extra_upper = True

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b8f6a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-2-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360cf750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 2, myg = 2, remove_extra_upper = True

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

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535433760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-6] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360dd220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 6, permute_dims = False

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534f54400>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360dd5e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 7, permute_dims = False

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05357ab1c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535d743d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 8, permute_dims = False

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053545ece0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535d74590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 9, permute_dims = False

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053593ef80>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360b3110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 6, permute_dims = True

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b30100>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360af050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 7, permute_dims = True

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533fccbe0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360aef90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 8, permute_dims = True

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534328c40>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360c2af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 9, permute_dims = True

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

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05339cb940>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360c2c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
permute_dims = False

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

xbout/tests/test_boutdataarray.py:216: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053369ea40>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535de5ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
permute_dims = True

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

xbout/tests/test_boutdataarray.py:216: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b407c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535de6030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 6, permute_dims = False

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343ee7a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360d5f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 7, permute_dims = False

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ce81c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535b12ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 8, permute_dims = False

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05353f7e20>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535b13050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 9, permute_dims = False

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533fcc7c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535deeb30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 6, permute_dims = True

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534382c20>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535deec80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 7, permute_dims = True

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b93a60>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360c7d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 8, permute_dims = True

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533bd1cc0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05360c7710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 9, permute_dims = True

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

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b425c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_to_field_aligned_staggered[False-CELL_XLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_XLOW', permute_dims = False

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

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534fec9a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_to_field_aligned_staggered[False-CELL_YLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_YLOW', permute_dims = False

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

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535348760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_to_field_aligned_staggered[False-CELL_ZLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_ZLOW', permute_dims = False

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

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533bd3ac0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestBoutDataArrayMethods.test_to_field_aligned_staggered[True-CELL_XLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_XLOW', permute_dims = True

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

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a66320>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestBoutDataArrayMethods.test_to_field_aligned_staggered[True-CELL_YLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_YLOW', permute_dims = True

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

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343efbe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestBoutDataArrayMethods.test_to_field_aligned_staggered[True-CELL_ZLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_ZLOW', permute_dims = True

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

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053593ef80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDataArrayMethods.test_from_field_aligned_staggered[False-CELL_XLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992e90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_XLOW', permute_dims = False

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

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05354317e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDataArrayMethods.test_from_field_aligned_staggered[False-CELL_YLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992df0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_YLOW', permute_dims = False

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

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b329e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDataArrayMethods.test_from_field_aligned_staggered[False-CELL_ZLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_ZLOW', permute_dims = False

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

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f2bbe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_from_field_aligned_staggered[True-CELL_XLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_XLOW', permute_dims = True

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

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053534b4c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_from_field_aligned_staggered[True-CELL_YLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_YLOW', permute_dims = True

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

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ce8820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_from_field_aligned_staggered[True-CELL_ZLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_ZLOW', permute_dims = True

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

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534f54ee0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535992fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:577: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053406ebc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[2] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
res_factor = 2

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

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533d19660>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[3] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
res_factor = 3

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

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534f56c20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[7] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05359930c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
res_factor = 7

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

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b8d960>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[18] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
res_factor = 18

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

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533706380>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestBoutDataArrayMethods.test_interpolate_parallel_region_sol _________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:687: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05359a25c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____ TestBoutDataArrayMethods.test_interpolate_parallel_region_singlenull _____

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05359931b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:734: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533fccdc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestBoutDataArrayMethods.test_interpolate_parallel ______________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:806: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535363580>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestBoutDataArrayMethods.test_interpolate_parallel_sol ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:860: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533d89c00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______ TestBoutDataArrayMethods.test_interpolate_parallel_toroidal_points ______

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05359932a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:912: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b3b9a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___ TestBoutDataArrayMethods.test_interpolate_parallel_toroidal_points_list ____

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05359932f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:937: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533c5d6c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestBoutDataArrayMethods.test_interpolate_to_cartesian ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:959: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533b41540>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:999: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053438cac0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05359933e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:1044: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343754e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:1078: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05353df040>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________________ TestBoutDataArrayMethods.test_ddz _______________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f0535993480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:1109: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533bc0400>
dims = ()

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

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

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f05359934d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataarray.py:1141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053535f0a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________________ TestBoutDatasetIsXarrayDataset.test_concat __________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset object at 0x7f0535761bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataset.py:36: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ab34c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset object at 0x7f0535761d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataset.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535364580>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535761e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataset.py:62: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053543eda0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535761f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 0, myg = 0

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

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05340ef940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_remove_yboundaries[0-2] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0536062c40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 2, myg = 0

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

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053402b7c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_remove_yboundaries[2-0] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535e18640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 0, myg = 2

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

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534371a20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_remove_yboundaries[2-2] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05358b55b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
mxg = 2, myg = 2

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

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a26bc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestBoutDatasetMethods.test_to_field_aligned[6] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05360da140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 6

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a861a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535920270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 7

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343cc9a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053574d450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 8

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053537f640>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053574da50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 9

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

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a6b8e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05360de5d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_to_field_aligned_dask(self, bout_xyt_example_files):
        nz = 6
    
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:269: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343ce6e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05360dd9a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 6

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a50e80>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053584d010>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 7

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343702e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053584d390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 8

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05340eef20>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535d79a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
nz = 9

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

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a6b7c0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535759490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_XLOW'

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

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a53220>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535759550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_YLOW'

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

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343cffa0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05360c2d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_ZLOW'

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

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533a24880>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535d94520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_XLOW'

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

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343bba00>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0563d9ccd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_YLOW'

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

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343ce800>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05359045f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
stag_location = 'CELL_ZLOW'

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

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05340473a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05358387d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053368a0e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053583b150>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533c8d480>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05358f32a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534fa4760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05358f3460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534fd7700>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05358e01d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f9ba00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05358e0230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533fdee00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533bf76a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ff3760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534577460>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05359196d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f7d900>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535787040>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05336ef760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05359198b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f464a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05345f7760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f05359199f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533bff940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534602fe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534516740>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05355333a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05345831c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535572620>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05346f2e60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534686800>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053462e080>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05345d7040>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f67be0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f0535919f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05336efe80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535550760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a0d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f529e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053574a6e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534008b20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a2b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05359f1240>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f7ce20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______ TestBoutDatasetMethods.test_interpolate_parallel_all_variables_arg ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a3a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_interpolate_parallel_all_variables_arg(self, bout_xyt_example_files):
        # Check that passing 'variables=...' to interpolate_parallel() does actually
        # interpolate all the variables
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1108: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ff0100>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestBoutDatasetMethods.test_interpolate_parallel_limiter ___________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a3f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_interpolate_parallel_limiter(
        self,
        bout_xyt_example_files,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards={"x": 2, "y": 2},
            grid="grid",
            topology="limiter",
        )
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=True,
            keep_yboundaries=False,
        )

xbout/tests/test_boutdataset.py:1163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05345639a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_integrate_midpoints_slab _____________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_integrate_midpoints_slab(self, bout_xyt_example_files):
        # Create data
        dataset_list = bout_xyt_example_files(
            None, lengths=(4, 100, 110, 120), nxpe=1, nype=1, nt=1, syn_data_type=1
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1193: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ff0760>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
location = 'CELL_CENTRE'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053457a7a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
location = 'CELL_XLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534563b20>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a4e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
location = 'CELL_YLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535582380>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
location = 'CELL_ZLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535556200>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a5d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_interpolate_from_unstructured(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            grid="grid",
            topology="upper-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1733: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053595c1c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_from_unstructured_unstructured_output _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_interpolate_from_unstructured_unstructured_output(
        self, bout_xyt_example_files
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1784: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f56c80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_interpolate_to_cartesian _____________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataset.py:1842: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534671780>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f053591a6c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

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

xbout/tests/test_boutdataset.py:1883: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f764a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f0535762350>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_save_all(self, tmp_path_factory, bout_xyt_example_files):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:1953: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053558e0e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f0535762490>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_all(self, tmp_path_factory, bout_xyt_example_files, geometry):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, grid="grid", write_to_disk=True
        )
    
        gridpath = path.parent.joinpath("grid.nc")
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=None if geometry is None else gridpath,
                )

xbout/tests/test_boutdataset.py:1978: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053424a800>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f0535e18770>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_all(self, tmp_path_factory, bout_xyt_example_files, geometry):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, grid="grid", write_to_disk=True
        )
    
        gridpath = path.parent.joinpath("grid.nc")
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=None if geometry is None else gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=None if geometry is None else gridpath,
            )

xbout/tests/test_boutdataset.py:1985: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05341a5840>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________________ TestSave.test_save_dtype[False-float64] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f0535e188a0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
save_dtype = <class 'numpy.float64'>, separate_vars = False

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c942e0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f05358da7b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
save_dtype = <class 'numpy.float32'>, separate_vars = False

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c96c20>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f0535920490>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
save_dtype = <class 'numpy.float64'>, separate_vars = True

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533eaae00>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f05359205a0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
save_dtype = <class 'numpy.float32'>, separate_vars = True

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05348be560>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f053574db50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_save_separate_variables(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2063: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05348beec0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f053574cc50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )

xbout/tests/test_boutdataset.py:2104: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534844160>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f053590c9b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=gridpath,
            )

xbout/tests/test_boutdataset.py:2111: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05344d52a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestSave.test_reload_separate_variables_time_split[None] ___________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f053590c8c0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables_time_split(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )

xbout/tests/test_boutdataset.py:2151: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053428a4a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f05358d0f30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables_time_split(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=gridpath,
            )

xbout/tests/test_boutdataset.py:2158: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534dd3a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________________ TestSaveRestart.test_to_restart[None] _____________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f0535762710>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
tind = None

    @pytest.mark.parametrize("tind", [None, pytest.param(1, marks=pytest.mark.long)])
    def test_to_restart(self, tmp_path_factory, bout_xyt_example_files, tind):
        nxpe = 3
        nype = 2
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe,
            nype=nype,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2205: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05345149a0>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f0535762850>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
tind = 1

    @pytest.mark.parametrize("tind", [None, pytest.param(1, marks=pytest.mark.long)])
    def test_to_restart(self, tmp_path_factory, bout_xyt_example_files, tind):
        nxpe = 3
        nype = 2
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe,
            nype=nype,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2205: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534597760>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f0535e189d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_to_restart_change_npe(self, tmp_path_factory, bout_xyt_example_files):
        nxpe_in = 3
        nype_in = 2
    
        nxpe = 2
        nype = 4
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2283: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05348cc400>
dims = ()

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

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

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f0535e18b00>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    @pytest.mark.long
    def test_to_restart_change_npe_doublenull(
        self, tmp_path_factory, bout_xyt_example_files
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe = 1
        nype = 12
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(nt, 5, 4, 7),
            topology="upper-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2356: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534d9f520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestSaveRestart.test_to_restart_change_npe_doublenull_expect_fail[npes0] ___

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f05358dbe30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
npes = (2, 6)

    @pytest.mark.long
    @pytest.mark.parametrize("npes", [(2, 6), (3, 4)])
    def test_to_restart_change_npe_doublenull_expect_fail(
        self, tmp_path_factory, bout_xyt_example_files, npes
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe, nype = npes
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(6, 5, 4, 7),
            topology="lower-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2427: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534df6800>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestSaveRestart.test_to_restart_change_npe_doublenull_expect_fail[npes1] ___

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f05359207c0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
npes = (3, 4)

    @pytest.mark.long
    @pytest.mark.parametrize("npes", [(2, 6), (3, 4)])
    def test_to_restart_change_npe_doublenull_expect_fail(
        self, tmp_path_factory, bout_xyt_example_files, npes
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe, nype = npes
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(6, 5, 4, 7),
            topology="lower-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2427: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f82ec0>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535a51e50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_single_file(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:280: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f54040>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535a51950>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_squashed_file(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=3, nt=1, squashed=True, write_to_disk=True
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:306: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f80760>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535a8ac40>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533bf6bc0>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535a8a9e0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05340c68c0>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f053364b650>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533f83a00>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535af7ce0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c5db40>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f05337a1ae0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05343cf640>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535c91750>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053551d9c0>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535c91050>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053459ba60>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535c87d40>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05352efa60>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535c85130>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_combine_along_x(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=1,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:414: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053430b040>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535a75e10>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_combine_along_y(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=1,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:450: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05346add20>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535c1d570>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
bout_v5 = False, metric_3D = False, lengths = (6, 2, 4, 7)

    @pytest.mark.parametrize(
        "bout_v5,metric_3D", [(False, False), (True, False), (True, True)]
    )
    @pytest.mark.parametrize("lengths", [(6, 2, 4, 7), (6, 2, 4, 1)])
    def test_combine_along_xy(
        self, tmp_path_factory, bout_xyt_example_files, bout_v5, metric_3D, lengths
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=3,
            nt=1,
            lengths=lengths,
            syn_data_type="stepped",
            write_to_disk=True,
            bout_v5=bout_v5,
            metric_3D=metric_3D,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:497: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534731480>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535bc2d50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
bout_v5 = True, metric_3D = False, lengths = (6, 2, 4, 7)

    @pytest.mark.parametrize(
        "bout_v5,metric_3D", [(False, False), (True, False), (True, True)]
    )
    @pytest.mark.parametrize("lengths", [(6, 2, 4, 7), (6, 2, 4, 1)])
    def test_combine_along_xy(
        self, tmp_path_factory, bout_xyt_example_files, bout_v5, metric_3D, lengths
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=3,
            nt=1,
            lengths=lengths,
            syn_data_type="stepped",
            write_to_disk=True,
            bout_v5=bout_v5,
            metric_3D=metric_3D,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:497: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05345bc3a0>
dims = ()

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

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

self = <xbout.tests.test_load.TestOpen object at 0x7f0535b91310>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_toroidal(self, tmp_path_factory, bout_xyt_example_files):
        # actually write these to disk to test the loading fully
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=3,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            grid="grid",
            write_to_disk=True,
        )
>       actual = open_boutdataset(
            datapath=path,
            geometry="toroidal",
            gridfilepath=path.parent.joinpath("grid.nc"),
        )

xbout/tests/test_load.py:555: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05355d3d60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________________________ TestOpen.test_salpha _____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f0533763c80>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_salpha(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=3,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            grid="grid",
            write_to_disk=True,
        )
>       actual = open_boutdataset(
            datapath=path,
            geometry="s-alpha",
            gridfilepath=path.parent.joinpath("grid.nc"),
        )

xbout/tests/test_load.py:589: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05352299c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying s-alpha geometry conventions
___________________________ TestOpen.test_drop_vars ____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f053381ced0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f05360608a0>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>

    def test_drop_vars(self, tmp_path_factory, bout_xyt_example_files):
        datapath = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=1,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=datapath, keep_xboundaries=False, drop_variables=["T"]
            )

xbout/tests/test_load.py:618: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533ef2200>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535a52210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05347702e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535a52350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c2b520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535a8a3f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053504dde0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535a8a190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c9ce80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c8e210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535046fe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f05337a1260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534792e60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f05337a1480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350e9540>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c93d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535082c80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c91450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350cb940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c876b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e55300>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c874d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e719c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535cce0b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ebef80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535cce510>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535023a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f05343dcbb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eb3f40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535bc2e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e514e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0534039490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e3fc40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c615a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eef3a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c61700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350e7f40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535b93250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e549a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535b93750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534792ce0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0533761e20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534cfa440>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0533aeb5d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534cbf3a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0533ae8350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534132320>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535cc7d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053505b640>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535cc7e70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eff3a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535cb7230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350929e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535cb70b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535077760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c44e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535107ac0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c44b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b17a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c44c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b92ce0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b3fca0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c451d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534be2440>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b27520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e2a320>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c452c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b14be0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053510b280>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350dd360>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c453b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e69540>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05351086a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ea37c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c454a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e66f20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c454f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b5e620>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e58d60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e233a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c455e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e62320>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534bfd4e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eb1a20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c456d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eaae60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e68d60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e6da80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c457c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ebb1c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c832e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534bc5cc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c458b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315cf8e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315e04c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531595300>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c459a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315edb40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c459f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053157b760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a6f100>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315f9420>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053153b280>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ebb700>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053156a8c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350f3760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535088820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535056e00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535083400>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ec2b60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ed0ee0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e86620>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350ffb20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315c1180>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45ea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315b43a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05316031c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e53880>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b9c5e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c45fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535088940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315d4b80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534f083a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c460d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e40fa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c0f6a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315e6680>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c461c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e29f00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315163e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ab2e00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c462b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053160bb80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315137c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a6a980>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c463a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315789a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c463f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531583940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e253c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315a2bc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c464e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e56aa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e6a9e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b208e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c465d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053154ab60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053502bc40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b5e080>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c466c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e97820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535025360>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e97f40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c467b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e7f2e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534f099c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b20a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c468a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534f09600>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c468f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315fe620>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b7d840>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05347b6440>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c469e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ec67a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b209a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e2e140>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535026e60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ba77c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e67160>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b5cdc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b58700>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e7e380>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05352acd60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350fcac0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534bc0460>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46da0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b759c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46df0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534bfc340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053506a6e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46e90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b7e380>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535089e40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315800a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b62500>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c46fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eb8220>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e685e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eb1060>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c470c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e5f7c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315498a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e85300>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c471b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b9cd60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ea88e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534f0bf40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c472a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e94f40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c472f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b5a6e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535053a60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315acf40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c473e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b7e6e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535025ba0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c47480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535082f20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f0535c474d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b7fdc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535a52490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eecd00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535a525d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315b7820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535a896e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a41cc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535a89cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e169e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0533754b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a80a60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f05337a0e20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b5b820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f05337a1040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053157a560>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535c93a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053154bee0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535c93850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ebfd00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535c872f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535069c60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535c86f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05316001c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0533752510>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ae3220>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f05337526d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a2b5e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0533720530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05349d69e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f05340393d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053495d2a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0534039310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a4f9a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535d24e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05305a7dc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535d24ec0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534943e80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535b93cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05310ed5a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535b93ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053106b8e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f05337615b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b60ca0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053400ebd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053154cd60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053400cb50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053495f820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053374a430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eb9b40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053374a580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0533e99300>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053367bad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ec3d00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053367bb30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e66500>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535c47ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b58a60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards0] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f0535c47f70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053157b520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards1] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e14640>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards2] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c0f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05349f3940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards3] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350e4460>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05313ab1c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c1e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05313d43a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05313af760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c2d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05306e2e60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a572e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e67700>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c3c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e15d20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b59ba0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eb8a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c4b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eab760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b608e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534eb3ee0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c5a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b25840>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c5f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05310ed360>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05313fb640>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e86a40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c6e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530669e40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05306935e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05313bb700>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c7d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053061a620>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05306614e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e86860>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c8c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c31600>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a4f400>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531069180>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378c9b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531581780>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ca00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315e2620>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ca50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ebfe20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378caa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b7ce80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378caf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c8b040>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378cb40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534b209a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378cb90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05306e0760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378cc80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530688e80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378cd20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05302f9ea0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378cdc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05302523e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ce60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053045d840>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378cf00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530461c60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378cfa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053024a920>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ed0340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d0e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535092680>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ed1720>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ebb340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d2c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05350932e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ccc820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a2a5c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d4a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a631c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053152d4e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d5e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531603880>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards0] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534ebcfa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards1] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d6d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05302e2f20>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards2] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530496080>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards3] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530146020>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d7c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053049b880>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05305342e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053495c640>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d8b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053153c520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053506af80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535068880>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d9a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a6b100>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378d9f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05302fa6e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378da40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053152c040>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378da90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534c89240>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a32320>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378db30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531025ba0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dbd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a56b00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dc20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05301b7100>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dc70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534abf340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dcc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530790100>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dd10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530292200>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dd60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315a5240>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ddb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530145300>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378de00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e50d00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378de50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053032cca0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05303c8580>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378def0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531438ca0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378df40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314db640>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards0] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378df90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053148cca0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards1] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378dfe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531426860>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards2] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307ab040>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards3] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307ba3e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314bba00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e0d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307e3820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531438d00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e1c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053143e3e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e2b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314af880>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534a6b3a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314eb220>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e3a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053506bee0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e3f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0535243d60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05302e0400>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053042bc40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e4e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053036d240>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531473580>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314172e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e5d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531411660>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05215ebca0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314fcbe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e6c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053039c3a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05315049a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053142a800>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e7b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053143f6a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314dad40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307e2a40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e8a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314215a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e8f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05303eba00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530782aa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307957e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378e9e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531252140>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ea30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053128b640>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ea80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531285840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ead0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307296c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378eb20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521680400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ed50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314b8700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ebc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521682920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378eb70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053143a6e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ec10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521697940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ec60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05216b2e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378eda0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521662fe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378edf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531293a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ee40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531224d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ee90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300f3a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378eee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053004efe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ef30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531243ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ef80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530053760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378efd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300a3640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312424a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e5e1a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f0c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053074eda0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307fe320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05216ae620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f1b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052164fa60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05303a5c60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531429d20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f2a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312854e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f2f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05303a7c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053010b760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312a9480>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f3e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052153d480>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531283a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530797d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f4d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531265360>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314b9ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307ffa60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f5c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053066e2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307a8940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312b48e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f6b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053076c4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307e84c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531268b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f7a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300f8700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f7f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300992a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05216964a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300732e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f8e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05311e6140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e5e8c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530172620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378f9d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521609d20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fa20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053036be20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fa70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531224460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053074e920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fb10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314845e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fb60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307d58a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fbb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300a56c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fc00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531439ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fc50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530109cc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307a54e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fcf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530078e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fd40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530097940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fd90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530764460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fde0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314a2c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fe30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052167ec80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fe80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05301ad1e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378fed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053127c2e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ff20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052160a860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ff70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052164f8e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f053378ffc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531448220>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053076e560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337280a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300bcd60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337280f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05311e4100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530339480>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530054460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337281e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531171840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531175720>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300f3880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337282d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530777040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531297e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053076f4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337283c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314ba0e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053114fb80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052153ee00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337284b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052167d660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053149f7c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052153c3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337285a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312ba5c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337285f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312ab2e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300e3a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05214eb640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337286e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312f1f00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053001a7a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531264e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337287d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05303e88e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307bac80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531284400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337288c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531418ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052160bb80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531218e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337289b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531492a40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300bf520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530789660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300342e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521501900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05214c7820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f052164c340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053002ca60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531478d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053018f9a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531287e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521600fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053032ed40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053079dc60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053128bca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531487580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05311c5720>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312f0f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531421c60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307162c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533728ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312aae00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300e0fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053127ace0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337290e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531131ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05304a6980>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531250460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337291d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053149e860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531449900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530773280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337292c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e5d240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300a1840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530051240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337293b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530034be0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05214ffa00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521517580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337294a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530072860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337294f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e5c220>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307e8e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0530729900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337295e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05214c59c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0521670e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053128bca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337296d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053001b4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05311be860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314fac20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337297c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307801c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314282e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05300e2620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337298b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05312f8f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314a2320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053131aaa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337299a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05303a7400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f05337299f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307b9180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05307ec7c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053129b2e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053074fd00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053076eb00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053144b1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053125a9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05216aeec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f053002f6a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0531270040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05215a73a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05211593c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f05314bb880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f0533729e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f05360a4e00>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f0534e5f700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
=============================== warnings summary ===============================
xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:813: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ds, "MXSUB", default=ds.dims["x"] - 2 * mxg, info=info

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:816: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ds, "MYSUB", default=ds.dims["y"] - 2 * myg, info=info

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:831: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    nx_file = ds.dims["x"]

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:832: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ny_file = ds.dims["y"]

xbout/tests/test_against_collect.py: 5 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataarray.py: 56 warnings
xbout/tests/test_boutdataset.py: 84 warnings
xbout/tests/test_geometries.py: 1 warning
xbout/tests/test_grid.py: 5 warnings
xbout/tests/test_load.py: 26 warnings
xbout/tests/test_plot.py: 144 warnings
xbout/tests/test_region.py: 304 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/geometries.py:147: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    nx = updated_ds.dims[xcoord]

xbout/tests/test_against_collect.py: 5 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataarray.py: 56 warnings
xbout/tests/test_boutdataset.py: 84 warnings
xbout/tests/test_load.py: 27 warnings
xbout/tests/test_plot.py: 144 warnings
xbout/tests/test_region.py: 304 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/geometries.py:184: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    nz = updated_ds.dims[zcoord]

xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
xbout/tests/test_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_extra_dims
xbout/tests/test_load.py::TestOpen::test_restarts
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:350: UserWarning: No geometry type found, no physical coordinates will be added
    warn("No geometry type found, no physical coordinates will be added")

xbout/tests/test_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 ===============================
2.91s 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
1.49s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_int
1.33s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-False]
1.24s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-True]
1.23s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-True]
1.21s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
1.18s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
1.17s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-False-False]
1.17s call     xbout/tests/test_boutdataset.py::TestSave::test_save_all
1.03s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None]
0.86s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
0.86s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
0.84s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
0.83s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
0.73s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
0.69s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list
0.67s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax_list
0.65s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D
0.60s call     xbout/tests/test_load.py::TestOpen::test_toroidal
0.57s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_nrows
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls0]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_subplots_adjust
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_fps
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls1]
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_animate_over
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls3]
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls0]
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls3]
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin_list
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_list
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls4]
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls5]
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls4]
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_save_as
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_float
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_not_enough_nrowsncols
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls4]
0.49s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_multiline
0.49s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_titles_list
0.49s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls5]
0.48s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls5]
0.48s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_ncols
0.48s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale
0.48s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls2]
0.48s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0]
0.48s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_default
0.47s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls2]
0.47s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls0]
0.47s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls1]
0.47s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls1]
0.47s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls3]
0.46s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls2]
0.46s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
0.46s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D
0.43s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2]
0.42s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
0.37s call     xbout/tests/test_load.py::TestOpen::test_salpha
0.32s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2]
0.32s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3]
0.32s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0]
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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1]
0.31s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1]
0.31s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
0.31s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3]
0.31s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3]
0.31s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1]
0.31s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1]
0.31s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
0.31s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
0.31s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2]
0.31s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
0.31s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1]
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3]
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards2]
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_connecteddoublenull[False-False-guards1]
0.30s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards3]
0.29s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0]
0.29s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
0.28s call     xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
0.27s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
0.27s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
0.26s call     xbout/tests/test_load.py::TestOpen::test_combine_along_x
0.26s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3]
0.26s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
0.24s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3]
0.21s call     xbout/tests/test_load.py::TestOpen::test_combine_along_y
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards3]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards1]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards0]
0.21s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards2]
0.20s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards1]
0.20s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards2]
0.20s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards3]
0.20s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards0]
0.20s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
0.20s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards2]
0.20s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_sol[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_limiter[0-False-False-guards1]
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_sol[False-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards3]
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_sol[False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards2]
0.19s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards3]
0.18s call     xbout/tests/test_load.py::TestOpen::test_drop_vars
0.17s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
0.16s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-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-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-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-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
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-0-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-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-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3]
0.13s 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_guards2-True-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2]
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-1-True-False-guards1]
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_guards2-True-False-guards0]
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_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-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-guards1]
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[upper-disconnected-double-null-0-True-True-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
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[upper-disconnected-double-null-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
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_get_one_guard[upper-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-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-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3]
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[lower-disconnected-double-null-0-True-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_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[lower-disconnected-double-null-False-True-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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-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-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_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3]
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[lower-disconnected-double-null-with_guards2-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_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-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_guards3-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-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-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0]
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[lower-disconnected-double-null-False-True-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[upper-disconnected-double-null-with_guards1-True-False-guards0]
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[lower-disconnected-double-null-with_guards3-True-True-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[lower-disconnected-double-null-False-False-guards1]
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_guards1-False-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-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-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3]
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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-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_guards1-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-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[upper-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[upper-disconnected-double-null-with_guards2-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-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-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-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[upper-disconnected-double-null-1-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-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_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-False-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[lower-disconnected-double-null-with_guards3-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1]
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_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[lower-disconnected-double-null-0-False-False-guards0]
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-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-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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3]
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_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[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-1-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-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2]
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_get_one_guard[lower-disconnected-double-null-1-False-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-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-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2]
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_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-1-False-True-guards3]
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_guards2-True-True-guards3]
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[upper-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_guards2-False-True-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-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_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[lower-disconnected-double-null-1-False-True-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-2-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[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-True-False-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_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[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-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1]
0.12s call     xbout/tests/test_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[upper-disconnected-double-null-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3]
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-0-True-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-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-1-False-False-guards0]
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_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-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-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-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-guards1]
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_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1]
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-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1]
0.12s call     xbout/tests/test_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[upper-disconnected-double-null-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
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-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_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_guards3-False-False-guards1]
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_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[upper-disconnected-double-null-1-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-with_guards2-False-False-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_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-0-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-False-guards3]
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[True-False-guards3]
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-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards2]
0.11s call     xbout/tests/test_load.py::TestOpen::test_restarts
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards0]
0.10s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
0.09s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
0.09s call     xbout/tests/test_load.py::TestOpen::test_squashed_file
0.09s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards0]
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_xpoint[True-False-guards2]
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[False-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards1]
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_singlenull[True-False-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards1]
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[False-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards1]
0.07s call     xbout/tests/test_fastoutput.py::TestFastOutput::test_open_fastoutput
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-True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards2]
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[0-True-False-guards1]
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[0-True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards2]
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[1-True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards3]
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_sol[True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards3]
0.07s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards3]
0.07s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards1]
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-False-guards3]
0.07s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-0]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
0.06s call     xbout/tests/test_load.py::TestOpen::test_single_file
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-2]
0.06s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
0.06s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
0.06s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
0.05s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
0.05s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
0.05s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
0.05s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_chunks
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
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
0.04s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points_list
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_XLOW]
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-guards0]
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_grid.py::TestOpenGrid::test_open_grid_extra_dims
0.03s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_all_variables_arg
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_chunks_not_in_grid
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
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_grid.py::TestOpenGrid::test_open_grid
0.02s call     xbout/tests/test_load.py::test_set_fci_coords
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards0]
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-True-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards2]
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-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards1]
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[1-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[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[1-False-True-guards1]
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[2-False-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards2]
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-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-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-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[2-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards1]
0.02s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-False]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddx
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_add_cartesian_coordinates
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_sol
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 call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_to_cartesian
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_ddz
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_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_grid.py::TestOpenGrid::test_open_grid_apply_geometry
0.01s setup    xbout/tests/test_load.py::test_set_fci_coords
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_brackets[3-111]
0.01s call     xbout/tests/test_load.py::TestStripMetadata::test_strip_metadata
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[121-2]
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_by_filenum[0-1-1-3-lower_boundaries5-upper_boundaries5]
0.01s call     xbout/calc/tests/test_turbulence.py::TestRootMeanSquare::test_reduce_2d_dask
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-False]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[7]
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[False-8]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-True]
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[8]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-True]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[True]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-8]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[8]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-8]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[9]
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_from_field_aligned_staggered[False-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_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[9]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-6]
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[6]
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-9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[False]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_to_cartesian
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_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-9]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[7]
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_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_add_cartesian_coordinates

(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 175.10s (0:02:55) =
error: Bad exit status from /var/tmp/rpm-tmp.7Ta4JL (%check)
    Bad exit status from /var/tmp/rpm-tmp.7Ta4JL (%check)

RPM build errors:
Finish: rpmbuild python-xbout-0.3.6-5.fc43.src.rpm
Finish: build phase for python-xbout-0.3.6-5.fc43.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1749601066.731059/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
ERROR: Exception(/var/lib/copr-rpmbuild/results/python-xbout-0.3.6-5.fc43.src.rpm) Config(fedora-rawhide-x86_64) 3 minutes 21 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 114c33d60c8e4739acdc219a333a728b -D /var/lib/mock/fedora-rawhide-x86_64-1749601066.731059/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.pexyv78k:/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