Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c18a' (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/8487453-fedora-40-x86_64 --chroot fedora-40-x86_64


Version: 1.2
PID: 24437
Logging PID: 24438
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 8487453,
 'buildroot_pkgs': [],
 'chroot': 'fedora-40-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'f1a66df022e181801e89848124ec50e09a53f026',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/churchyard/jinja2-3.1.5-f40:custom:isolated/python-xarray',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-xarray',
 'package_version': '2023.9.0-3',
 'project_dirname': 'jinja2-3.1.5-f40:custom:isolated',
 'project_name': 'jinja2-3.1.5-f40',
 'project_owner': 'churchyard',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/churchyard/jinja2-3.1.5-f40/fedora-40-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None},
           {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/f40-build/latest/$basearch/',
            'id': 'http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch',
            'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch'}],
 'sandbox': 'churchyard/jinja2-3.1.5-f40--churchyard',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': 0,
 'submitter': 'churchyard',
 'tags': [],
 'task_id': '8487453-fedora-40-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/churchyard/jinja2-3.1.5-f40:custom:isolated/python-xarray /var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/churchyard/jinja2-3.1.5-f40:custom:isolated/python-xarray', '/var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray'...

Running: git checkout f1a66df022e181801e89848124ec50e09a53f026 --

cmd: ['git', 'checkout', 'f1a66df022e181801e89848124ec50e09a53f026', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray
rc: 0
stdout: 
stderr: Note: switching to 'f1a66df022e181801e89848124ec50e09a53f026'.

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 f1a66df automatic import of python-xarray

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray
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 xarray-2023.9.0.tar.gz
/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
INFO: Calling: curl -H Pragma: -o xarray-2023.9.0.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/churchyard/jinja2-3.1.5-f40:custom:isolated/python-xarray/xarray-2023.9.0.tar.gz/md5/cf0aabf0f86dcd826d85914f966951e9/xarray-2023.9.0.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 3688k  100 3688k    0     0  33.8M      0 --:--:-- --:--:-- --:--:-- 33.9M
INFO: Reading stdout from command: md5sum xarray-2023.9.0.tar.gz
INFO: Downloading xarray-data-7d8290e0be9d2a8f4b4381641f20a97db6eaea3d.tar.gz
INFO: Calling: curl -H Pragma: -o xarray-data-7d8290e0be9d2a8f4b4381641f20a97db6eaea3d.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/churchyard/jinja2-3.1.5-f40:custom:isolated/python-xarray/xarray-data-7d8290e0be9d2a8f4b4381641f20a97db6eaea3d.tar.gz/md5/707161fcb3cafae056d96d9850c9f2e7/xarray-data-7d8290e0be9d2a8f4b4381641f20a97db6eaea3d.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100  106M  100  106M    0     0  49.2M      0  0:00:02  0:00:02 --:--:-- 49.2M
INFO: Reading stdout from command: md5sum xarray-data-7d8290e0be9d2a8f4b4381641f20a97db6eaea3d.tar.gz

Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray/python-xarray.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1736348094.493736 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.0 starting (python version = 3.13.0, NVR = mock-6.0-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray/python-xarray.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-bw2lyumt/python-xarray --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1736348094.493736 -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-bw2lyumt/python-xarray/python-xarray.spec)  Config(fedora-40-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.0
INFO: Mock Version: 6.0
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-bootstrap-1736348094.493736/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:40
INFO: Pulling image: registry.fedoraproject.org/fedora:40
INFO: Tagging container image as mock-bootstrap-283ea674-377b-4222-b131-fc1cc6008fde
INFO: Checking that cccf8d63d11d219c285ac6fa89b3c3850e598379790f46816ab961e21d7c4722 image matches host's architecture
INFO: Copy content of container cccf8d63d11d219c285ac6fa89b3c3850e598379790f46816ab961e21d7c4722 to /var/lib/mock/fedora-40-x86_64-bootstrap-1736348094.493736/root
INFO: mounting cccf8d63d11d219c285ac6fa89b3c3850e598379790f46816ab961e21d7c4722 with podman image mount
INFO: image cccf8d63d11d219c285ac6fa89b3c3850e598379790f46816ab961e21d7c4722 as /var/lib/containers/storage/overlay/ea6459704420479040f5ae1ac423e605b3307fe5ce36d12d2981f2a18aad83a5/merged
INFO: umounting image cccf8d63d11d219c285ac6fa89b3c3850e598379790f46816ab961e21d7c4722 (/var/lib/containers/storage/overlay/ea6459704420479040f5ae1ac423e605b3307fe5ce36d12d2981f2a18aad83a5/merged) with podman image umount
INFO: Removing image mock-bootstrap-283ea674-377b-4222-b131-fc1cc6008fde
INFO: Using 'dnf4' instead of 'dnf5' for bootstrap chroot
INFO: Package manager dnf4 detected and used (fallback)
INFO: Bootstrap image not marked ready
Start(bootstrap): installing dnf5 tooling
No matches found for the following disable plugin patterns: local, spacewalk, versionlock
Copr repository                                  17 kB/s | 1.5 kB     00:00    
Additional repo http_kojipkgs_fedoraproject_org  49 MB/s |  14 MB     00:00    
fedora                                           17 MB/s |  20 MB     00:01    
updates                                         8.0 MB/s |  12 MB     00:01    
Dependencies resolved.
==============================================================================================================
 Package          Arch    Version       Repository                                                        Size
==============================================================================================================
Installing:
 dnf5             x86_64  5.1.17-3.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  690 k
 dnf5-plugins     x86_64  5.1.17-3.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  351 k
Installing dependencies:
 fmt              x86_64  10.2.1-5.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  125 k
 libdnf5          x86_64  5.1.17-3.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  1.0 M
 libdnf5-cli      x86_64  5.1.17-3.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  231 k
 sdbus-cpp        x86_64  1.4.0-2.fc40  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  110 k

Transaction Summary
==============================================================================================================
Install  6 Packages

Total download size: 2.4 M
Installed size: 6.9 M
Downloading Packages:
(1/6): dnf5-plugins-5.1.17-3.fc40.x86_64.rpm    4.0 MB/s | 351 kB     00:00    
(2/6): fmt-10.2.1-5.fc40.x86_64.rpm             1.4 MB/s | 125 kB     00:00    
(3/6): dnf5-5.1.17-3.fc40.x86_64.rpm            6.5 MB/s | 690 kB     00:00    
(4/6): libdnf5-cli-5.1.17-3.fc40.x86_64.rpm      11 MB/s | 231 kB     00:00    
(5/6): sdbus-cpp-1.4.0-2.fc40.x86_64.rpm        5.8 MB/s | 110 kB     00:00    
(6/6): libdnf5-5.1.17-3.fc40.x86_64.rpm          22 MB/s | 1.0 MB     00:00    
--------------------------------------------------------------------------------
Total                                            19 MB/s | 2.4 MB     00:00     
Running transaction check
Transaction check succeeded.
Running transaction test
Transaction test succeeded.
Running transaction
  Preparing        :                                                        1/1 
  Installing       : fmt-10.2.1-5.fc40.x86_64                               1/6 
  Installing       : libdnf5-5.1.17-3.fc40.x86_64                           2/6 
  Installing       : libdnf5-cli-5.1.17-3.fc40.x86_64                       3/6 
  Installing       : sdbus-cpp-1.4.0-2.fc40.x86_64                          4/6 
  Installing       : dnf5-5.1.17-3.fc40.x86_64                              5/6 
  Installing       : dnf5-plugins-5.1.17-3.fc40.x86_64                      6/6 
  Running scriptlet: dnf5-plugins-5.1.17-3.fc40.x86_64                      6/6 

Installed:
  dnf5-5.1.17-3.fc40.x86_64              dnf5-plugins-5.1.17-3.fc40.x86_64      
  fmt-10.2.1-5.fc40.x86_64               libdnf5-5.1.17-3.fc40.x86_64           
  libdnf5-cli-5.1.17-3.fc40.x86_64       sdbus-cpp-1.4.0-2.fc40.x86_64          

Complete!
INFO: Switching package manager from dnf4 to the dnf5 (direct choice)
Finish(bootstrap): installing dnf5 tooling
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-40-x86_64-1736348094.493736/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-4.19.1.1-1.fc40.x86_64
  rpm-sequoia-1.7.0-3.fc40.x86_64
  python3-dnf-4.22.0-1.fc40.noarch
  yum-4.22.0-1.fc40.noarch
  dnf5-5.1.17-3.fc40.x86_64
  dnf5-plugins-5.1.17-3.fc40.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 updates                                100% |   1.0 MiB/s |  29.5 KiB |  00m00s
 fedora                                 100% |   1.1 MiB/s |  30.1 KiB |  00m00s
 Copr repository                        100% |  50.5 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% |  70.9 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package                           Arch   Version                     Repository                                                           Size
Installing group/module packages:                                                                                                             
 bash                             x86_64 5.2.26-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   8.1 MiB
 bzip2                            x86_64 1.0.8-18.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  91.7 KiB
 coreutils                        x86_64 9.4-9.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   5.8 MiB
 cpio                             x86_64 2.15-1.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.1 MiB
 diffutils                        x86_64 3.10-5.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.6 MiB
 fedora-release-common            noarch 40-40                       http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  19.2 KiB
 findutils                        x86_64 1:4.9.0-9.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.5 MiB
 gawk                             x86_64 5.3.0-3.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.7 MiB
 glibc-minimal-langpack           x86_64 2.39-33.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   0.0   B
 grep                             x86_64 3.11-7.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.0 MiB
 gzip                             x86_64 1.13-1.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 385.0 KiB
 info                             x86_64 7.1-2.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 357.8 KiB
 patch                            x86_64 2.7.6-24.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 262.8 KiB
 redhat-rpm-config                noarch 288-1.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 185.2 KiB
 rpm-build                        x86_64 4.19.1.1-1.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 173.7 KiB
 sed                              x86_64 4.9-1.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 861.5 KiB
 shadow-utils                     x86_64 2:4.15.1-4.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   4.1 MiB
 tar                              x86_64 2:1.35-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.9 MiB
 unzip                            x86_64 6.0-63.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 382.8 KiB
 util-linux                       x86_64 2.40.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.7 MiB
 which                            x86_64 2.21-41.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  80.2 KiB
 xz                               x86_64 1:5.4.6-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.0 MiB
Installing dependencies:                                                                                                                      
 alternatives                     x86_64 1.27-1.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  66.3 KiB
 ansible-srpm-macros              noarch 1-16.fc40                   http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  35.7 KiB
 audit-libs                       x86_64 4.0.2-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 327.4 KiB
 authselect                       x86_64 1.5.0-6.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 153.6 KiB
 authselect-libs                  x86_64 1.5.0-6.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 818.2 KiB
 basesystem                       noarch 11-20.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   0.0   B
 binutils                         x86_64 2.41-38.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  26.4 MiB
 binutils-gold                    x86_64 2.41-38.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.0 MiB
 bzip2-libs                       x86_64 1.0.8-18.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  80.7 KiB
 ca-certificates                  noarch 2024.2.69_v8.0.401-1.0.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.4 MiB
 coreutils-common                 x86_64 9.4-9.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  11.4 MiB
 cracklib                         x86_64 2.9.11-5.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 238.9 KiB
 crypto-policies                  noarch 20241011-1.git5930b9a.fc40  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 158.0 KiB
 curl                             x86_64 8.6.0-10.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 738.6 KiB
 cyrus-sasl-lib                   x86_64 2.1.28-19.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.3 MiB
 debugedit                        x86_64 5.0-18.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 199.3 KiB
 dwz                              x86_64 0.15-8.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 294.9 KiB
 ed                               x86_64 1.20.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 146.9 KiB
 efi-srpm-macros                  noarch 5-11.fc40                   http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  40.1 KiB
 elfutils                         x86_64 0.192-7.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.7 MiB
 elfutils-debuginfod-client       x86_64 0.192-7.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  80.2 KiB
 elfutils-default-yama-scope      noarch 0.192-7.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.8 KiB
 elfutils-libelf                  x86_64 0.192-7.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.2 MiB
 elfutils-libs                    x86_64 0.192-7.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 670.3 KiB
 fedora-gpg-keys                  noarch 40-2                        http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 124.7 KiB
 fedora-release                   noarch 40-40                       http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   0.0   B
 fedora-release-identity-basic    noarch 40-40                       http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 654.0   B
 fedora-repos                     noarch 40-2                        http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   4.9 KiB
 file                             x86_64 5.45-4.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 103.5 KiB
 file-libs                        x86_64 5.45-4.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   9.9 MiB
 filesystem                       x86_64 3.18-8.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 106.0   B
 fonts-srpm-macros                noarch 1:2.0.5-14.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  55.3 KiB
 forge-srpm-macros                noarch 0.4.0-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  38.9 KiB
 fpc-srpm-macros                  noarch 1.3-12.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 144.0   B
 gdb-minimal                      x86_64 15.2-3.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  13.0 MiB
 gdbm                             x86_64 1:1.23-6.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 460.9 KiB
 gdbm-libs                        x86_64 1:1.23-6.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 121.9 KiB
 ghc-srpm-macros                  noarch 1.9.1-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 747.0   B
 glibc                            x86_64 2.39-33.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   6.6 MiB
 glibc-common                     x86_64 2.39-33.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.0 MiB
 glibc-gconv-extra                x86_64 2.39-33.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   7.8 MiB
 gmp                              x86_64 1:6.2.1-8.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 794.6 KiB
 gnat-srpm-macros                 noarch 6-5.fc40                    http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.0 KiB
 go-srpm-macros                   noarch 3.5.0-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  60.6 KiB
 jansson                          x86_64 2.13.1-9.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  88.3 KiB
 json-c                           x86_64 0.17-3.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  82.4 KiB
 kernel-srpm-macros               noarch 1.0-23.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.9 KiB
 keyutils-libs                    x86_64 1.6.3-3.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  54.4 KiB
 krb5-libs                        x86_64 1.21.3-2.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.3 MiB
 libacl                           x86_64 2.3.2-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  40.0 KiB
 libarchive                       x86_64 3.7.2-7.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 922.6 KiB
 libattr                          x86_64 2.5.2-3.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  28.5 KiB
 libblkid                         x86_64 2.40.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 258.6 KiB
 libbrotli                        x86_64 1.1.0-3.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 829.5 KiB
 libcap                           x86_64 2.69-8.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 219.8 KiB
 libcap-ng                        x86_64 0.8.4-4.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  73.1 KiB
 libcom_err                       x86_64 1.47.0-5.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  67.2 KiB
 libcurl                          x86_64 8.6.0-10.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 776.8 KiB
 libeconf                         x86_64 0.6.2-2.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  58.0 KiB
 libevent                         x86_64 2.1.12-12.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 895.6 KiB
 libfdisk                         x86_64 2.40.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 362.9 KiB
 libffi                           x86_64 3.4.4-7.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  81.6 KiB
 libgcc                           x86_64 14.2.1-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 274.6 KiB
 libgomp                          x86_64 14.2.1-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 523.6 KiB
 libidn2                          x86_64 2.3.7-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 329.1 KiB
 libmount                         x86_64 2.40.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 355.8 KiB
 libnghttp2                       x86_64 1.59.0-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 166.1 KiB
 libnsl2                          x86_64 2.0.1-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  57.9 KiB
 libpkgconf                       x86_64 2.1.1-2.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  74.2 KiB
 libpsl                           x86_64 0.21.5-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  80.5 KiB
 libpwquality                     x86_64 1.4.5-9.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 417.8 KiB
 libselinux                       x86_64 3.7-5.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 177.0 KiB
 libsemanage                      x86_64 3.7-2.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 293.5 KiB
 libsepol                         x86_64 3.7-2.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 817.9 KiB
 libsmartcols                     x86_64 2.40.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 180.4 KiB
 libssh                           x86_64 0.10.6-5.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 509.3 KiB
 libssh-config                    noarch 0.10.6-5.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 277.0   B
 libstdc++                        x86_64 14.2.1-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.8 MiB
 libtasn1                         x86_64 4.19.0-6.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 175.7 KiB
 libtirpc                         x86_64 1.3.6-1.rc3.fc40            http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 202.7 KiB
 libtool-ltdl                     x86_64 2.4.7-10.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  66.2 KiB
 libunistring                     x86_64 1.1-7.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.7 MiB
 libutempter                      x86_64 1.2.1-13.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  57.7 KiB
 libuuid                          x86_64 2.40.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  37.5 KiB
 libverto                         x86_64 0.3.2-8.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  29.5 KiB
 libxcrypt                        x86_64 4.4.37-4.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 267.7 KiB
 libxml2                          x86_64 2.12.9-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.7 MiB
 libzstd                          x86_64 1.5.6-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 787.9 KiB
 lua-libs                         x86_64 5.4.6-5.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 281.1 KiB
 lua-srpm-macros                  noarch 1-13.fc40                   http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.3 KiB
 lz4-libs                         x86_64 1.9.4-6.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 129.4 KiB
 mpfr                             x86_64 4.2.1-4.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 832.0 KiB
 ncurses-base                     noarch 6.4-12.20240127.fc40        http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 326.2 KiB
 ncurses-libs                     x86_64 6.4-12.20240127.fc40        http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 963.2 KiB
 ocaml-srpm-macros                noarch 9-3.fc40                    http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.9 KiB
 openblas-srpm-macros             noarch 2-16.fc40                   http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 104.0   B
 openldap                         x86_64 2.6.8-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 640.3 KiB
 openssl-libs                     x86_64 1:3.2.2-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   7.8 MiB
 p11-kit                          x86_64 0.25.5-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.2 MiB
 p11-kit-trust                    x86_64 0.25.5-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 391.4 KiB
 package-notes-srpm-macros        noarch 0.5-11.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.6 KiB
 pam                              x86_64 1.6.1-5.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.8 MiB
 pam-libs                         x86_64 1.6.1-5.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 135.0 KiB
 pcre2                            x86_64 10.44-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 653.5 KiB
 pcre2-syntax                     noarch 10.44-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 251.6 KiB
 perl-srpm-macros                 noarch 1-53.fc40                   http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 861.0   B
 pkgconf                          x86_64 2.1.1-2.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  82.9 KiB
 pkgconf-m4                       noarch 2.1.1-2.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  13.9 KiB
 pkgconf-pkg-config               x86_64 2.1.1-2.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 989.0   B
 popt                             x86_64 1.19-6.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 136.9 KiB
 publicsuffix-list-dafsa          noarch 20240107-3.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  67.5 KiB
 pyproject-srpm-macros            noarch 1.16.3-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.9 KiB
 python-srpm-macros               noarch 3.12-8.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  50.6 KiB
 qt5-srpm-macros                  noarch 5.15.15-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 500.0   B
 qt6-srpm-macros                  noarch 6.7.2-2.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 456.0   B
 readline                         x86_64 8.2-8.fc40                  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 489.2 KiB
 rpm                              x86_64 4.19.1.1-1.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.0 MiB
 rpm-build-libs                   x86_64 4.19.1.1-1.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 198.4 KiB
 rpm-libs                         x86_64 4.19.1.1-1.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 709.9 KiB
 rpm-sequoia                      x86_64 1.7.0-3.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.4 MiB
 rust-srpm-macros                 noarch 26.3-1.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   4.8 KiB
 setup                            noarch 2.14.5-2.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 720.4 KiB
 sqlite-libs                      x86_64 3.45.1-2.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.4 MiB
 systemd-libs                     x86_64 255.15-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.9 MiB
 util-linux-core                  x86_64 2.40.2-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.5 MiB
 xxhash-libs                      x86_64 0.8.3-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  90.2 KiB
 xz-libs                          x86_64 1:5.4.6-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 209.8 KiB
 zig-srpm-macros                  noarch 1-2.fc40                    http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.1 KiB
 zip                              x86_64 3.0-40.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 703.2 KiB
 zlib-ng-compat                   x86_64 2.1.7-2.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 134.0 KiB
 zstd                             x86_64 1.5.6-1.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.7 MiB
Installing groups:                                                                                                                            
 Buildsystem building group                                                                                                                   

Transaction Summary:
 Installing:      153 packages

Total size of inbound packages is 52 MiB. Need to download 0 B.
After this operation 179 MiB will be used (install 179 MiB, remove 0 B).
[  1/153] tar-2:1.35-3.fc40.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
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--------------------------------------------------------------------------------
[153/153] Total                         100% |   0.0   B/s |   0.0   B |  00m00s
Running transaction
[  1/155] Verify package files          100% | 792.0   B/s | 153.0   B |  00m00s
>>> Running pre-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64
>>> Stop pre-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64
[  2/155] Prepare transaction           100% |   1.8 KiB/s | 153.0   B |  00m00s
[  3/155] Installing libgcc-0:14.2.1-3. 100% | 134.9 MiB/s | 276.3 KiB |  00m00s
>>> Running post-install scriptlet: libgcc-0:14.2.1-3.fc40.x86_64
>>> Stop post-install scriptlet: libgcc-0:14.2.1-3.fc40.x86_64
[  4/155] Installing crypto-policies-0: 100% |  15.5 MiB/s | 190.6 KiB |  00m00s
>>> Running post-install scriptlet: crypto-policies-0:20241011-1.git5930b9a.fc40
>>> Stop post-install scriptlet: crypto-policies-0:20241011-1.git5930b9a.fc40.no
[  5/155] Installing fedora-release-ide 100% |   0.0   B/s | 912.0   B |  00m00s
[  6/155] Installing fedora-gpg-keys-0: 100% |  18.4 MiB/s | 169.7 KiB |  00m00s
[  7/155] Installing fedora-repos-0:40- 100% |   0.0   B/s |   5.7 KiB |  00m00s
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[ 10/155] Installing setup-0:2.14.5-2.f 100% |  50.6 MiB/s | 725.8 KiB |  00m00s
>>> Running post-install scriptlet: setup-0:2.14.5-2.fc40.noarch
>>> Stop post-install scriptlet: setup-0:2.14.5-2.fc40.noarch
[ 11/155] Installing filesystem-0:3.18- 100% |   1.6 MiB/s | 212.4 KiB |  00m00s
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[ 14/155] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[ 15/155] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB |  00m00s
[ 16/155] Installing coreutils-common-0 100% | 234.0 MiB/s |  11.5 MiB |  00m00s
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[ 18/155] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 19/155] Installing ncurses-libs-0:6.4 100% | 135.3 MiB/s | 969.7 KiB |  00m00s
>>> Running pre-install scriptlet: glibc-0:2.39-33.fc40.x86_64
>>> Stop pre-install scriptlet: glibc-0:2.39-33.fc40.x86_64
[ 20/155] Installing glibc-0:2.39-33.fc 100% | 127.9 MiB/s |   6.6 MiB |  00m00s
>>> Running post-install scriptlet: glibc-0:2.39-33.fc40.x86_64
>>> Stop post-install scriptlet: glibc-0:2.39-33.fc40.x86_64
[ 21/155] Installing bash-0:5.2.26-3.fc 100% | 263.3 MiB/s |   8.2 MiB |  00m00s
>>> Running post-install scriptlet: bash-0:5.2.26-3.fc40.x86_64
>>> Stop post-install scriptlet: bash-0:5.2.26-3.fc40.x86_64
[ 22/155] Installing glibc-common-0:2.3 100% | 129.5 MiB/s |   1.0 MiB |  00m00s
[ 23/155] Installing glibc-gconv-extra- 100% | 119.7 MiB/s |   7.9 MiB |  00m00s
>>> Running post-install scriptlet: glibc-gconv-extra-0:2.39-33.fc40.x86_64
>>> Stop post-install scriptlet: glibc-gconv-extra-0:2.39-33.fc40.x86_64
[ 24/155] Installing zlib-ng-compat-0:2 100% | 131.6 MiB/s | 134.8 KiB |  00m00s
[ 25/155] Installing xz-libs-1:5.4.6-3. 100% | 206.0 MiB/s | 210.9 KiB |  00m00s
[ 26/155] Installing bzip2-libs-0:1.0.8 100% |  79.9 MiB/s |  81.8 KiB |  00m00s
[ 27/155] Installing libuuid-0:2.40.2-1 100% |  37.7 MiB/s |  38.6 KiB |  00m00s
[ 28/155] Installing readline-0:8.2-8.f 100% | 239.9 MiB/s | 491.4 KiB |  00m00s
[ 29/155] Installing libzstd-0:1.5.6-1. 100% | 256.9 MiB/s | 789.2 KiB |  00m00s
[ 30/155] Installing elfutils-libelf-0: 100% | 234.0 MiB/s |   1.2 MiB |  00m00s
[ 31/155] Installing popt-0:1.19-6.fc40 100% |  28.0 MiB/s | 143.5 KiB |  00m00s
[ 32/155] Installing libstdc++-0:14.2.1 100% | 251.5 MiB/s |   2.8 MiB |  00m00s
[ 33/155] Installing libblkid-0:2.40.2- 100% | 126.8 MiB/s | 259.7 KiB |  00m00s
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[ 36/155] Installing libacl-0:2.3.2-1.f 100% |  39.9 MiB/s |  40.8 KiB |  00m00s
[ 37/155] Installing gmp-1:6.2.1-8.fc40 100% | 194.5 MiB/s | 796.8 KiB |  00m00s
[ 38/155] Installing lz4-libs-0:1.9.4-6 100% |  63.7 MiB/s | 130.5 KiB |  00m00s
[ 39/155] Installing libeconf-0:0.6.2-2 100% |  58.3 MiB/s |  59.6 KiB |  00m00s
[ 40/155] Installing gdbm-libs-1:1.23-6 100% |  60.3 MiB/s | 123.6 KiB |  00m00s
[ 41/155] Installing mpfr-0:4.2.1-4.fc4 100% | 162.8 MiB/s | 833.7 KiB |  00m00s
[ 42/155] Installing gawk-0:5.3.0-3.fc4 100% | 144.0 MiB/s |   1.7 MiB |  00m00s
[ 43/155] Installing dwz-0:0.15-8.fc40. 100% | 144.7 MiB/s | 296.3 KiB |  00m00s
[ 44/155] Installing unzip-0:6.0-63.fc4 100% | 125.8 MiB/s | 386.3 KiB |  00m00s
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[ 49/155] Installing audit-libs-0:4.0.2 100% | 107.2 MiB/s | 329.3 KiB |  00m00s
[ 50/155] Installing pam-libs-0:1.6.1-5 100% |  67.1 MiB/s | 137.4 KiB |  00m00s
[ 51/155] Installing libcap-0:2.69-8.fc 100% |  54.9 MiB/s | 224.8 KiB |  00m00s
[ 52/155] Installing systemd-libs-0:255 100% | 193.8 MiB/s |   1.9 MiB |  00m00s
[ 53/155] Installing libcom_err-0:1.47. 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[ 54/155] Installing libsepol-0:3.7-2.f 100% | 199.9 MiB/s | 818.8 KiB |  00m00s
[ 55/155] Installing pcre2-0:10.44-1.fc 100% | 213.2 MiB/s | 654.9 KiB |  00m00s
[ 56/155] Installing libselinux-0:3.7-5 100% |  87.0 MiB/s | 178.3 KiB |  00m00s
[ 57/155] Installing sed-0:4.9-1.fc40.x 100% | 106.2 MiB/s | 869.7 KiB |  00m00s
[ 58/155] Installing grep-0:3.11-7.fc40 100% | 100.3 MiB/s |   1.0 MiB |  00m00s
[ 59/155] Installing findutils-1:4.9.0- 100% | 146.6 MiB/s |   1.5 MiB |  00m00s
[ 60/155] Installing xz-1:5.4.6-3.fc40. 100% | 111.3 MiB/s |   2.0 MiB |  00m00s
[ 61/155] Installing libmount-0:2.40.2- 100% | 174.3 MiB/s | 356.9 KiB |  00m00s
[ 62/155] Installing libffi-0:3.4.4-7.f 100% |  81.0 MiB/s |  83.0 KiB |  00m00s
[ 63/155] Installing alternatives-0:1.2 100% |  66.4 MiB/s |  68.0 KiB |  00m00s
[ 64/155] Installing jansson-0:2.13.1-9 100% |  87.6 MiB/s |  89.7 KiB |  00m00s
[ 65/155] Installing lua-libs-0:5.4.6-5 100% | 137.8 MiB/s | 282.3 KiB |  00m00s
[ 66/155] Installing libtasn1-0:4.19.0- 100% |  86.7 MiB/s | 177.5 KiB |  00m00s
[ 67/155] Installing p11-kit-0:0.25.5-1 100% | 138.0 MiB/s |   2.2 MiB |  00m00s
[ 68/155] Installing libunistring-0:1.1 100% | 247.2 MiB/s |   1.7 MiB |  00m00s
[ 69/155] Installing libidn2-0:2.3.7-1. 100% |  65.4 MiB/s | 335.0 KiB |  00m00s
[ 70/155] Installing libpsl-0:0.21.5-3. 100% |  79.7 MiB/s |  81.6 KiB |  00m00s
[ 71/155] Installing p11-kit-trust-0:0. 100% |  22.6 MiB/s | 393.1 KiB |  00m00s
>>> Running post-install scriptlet: p11-kit-trust-0:0.25.5-1.fc40.x86_64
>>> Stop post-install scriptlet: p11-kit-trust-0:0.25.5-1.fc40.x86_64
[ 72/155] Installing openssl-libs-1:3.2 100% | 244.5 MiB/s |   7.8 MiB |  00m00s
[ 73/155] Installing coreutils-0:9.4-9. 100% | 118.9 MiB/s |   5.8 MiB |  00m00s
>>> Running pre-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40
>>> Stop pre-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40.no
[ 74/155] Installing ca-certificates-0: 100% |   2.3 MiB/s |   2.4 MiB |  00m01s
>>> Running post-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc4
>>> Stop post-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40.n
[ 75/155] Installing gzip-0:1.13-1.fc40 100% |  63.6 MiB/s | 390.6 KiB |  00m00s
[ 76/155] Installing authselect-libs-0: 100% |  67.8 MiB/s | 833.2 KiB |  00m00s
[ 77/155] Installing authselect-0:1.5.0 100% |  38.6 MiB/s | 157.9 KiB |  00m00s
[ 78/155] Installing cracklib-0:2.9.11- 100% |  24.4 MiB/s | 250.3 KiB |  00m00s
[ 79/155] Installing libpwquality-0:1.4 100% |  38.2 MiB/s | 430.1 KiB |  00m00s
[ 80/155] Installing rpm-sequoia-0:1.7. 100% | 171.0 MiB/s |   2.4 MiB |  00m00s
[ 81/155] Installing libevent-0:2.1.12- 100% | 146.4 MiB/s | 899.4 KiB |  00m00s
[ 82/155] Installing util-linux-core-0: 100% | 106.1 MiB/s |   1.5 MiB |  00m00s
[ 83/155] Installing tar-2:1.35-3.fc40. 100% | 173.6 MiB/s |   3.0 MiB |  00m00s
[ 84/155] Installing libsemanage-0:3.7- 100% |  96.1 MiB/s | 295.2 KiB |  00m00s
[ 85/155] Installing shadow-utils-2:4.1 100% |  57.2 MiB/s |   4.2 MiB |  00m00s
>>> Running pre-install scriptlet: libutempter-0:1.2.1-13.fc40.x86_64
>>> Stop pre-install scriptlet: libutempter-0:1.2.1-13.fc40.x86_64
[ 86/155] Installing libutempter-0:1.2. 100% |  19.4 MiB/s |  59.7 KiB |  00m00s
[ 87/155] Installing zip-0:3.0-40.fc40. 100% | 115.1 MiB/s | 707.1 KiB |  00m00s
[ 88/155] Installing gdbm-1:1.23-6.fc40 100% |  75.8 MiB/s | 465.8 KiB |  00m00s
[ 89/155] Installing cyrus-sasl-lib-0:2 100% | 152.2 MiB/s |   2.3 MiB |  00m00s
[ 90/155] Installing zstd-0:1.5.6-1.fc4 100% | 167.6 MiB/s |   1.7 MiB |  00m00s
[ 91/155] Installing libfdisk-0:2.40.2- 100% | 118.5 MiB/s | 364.0 KiB |  00m00s
[ 92/155] Installing bzip2-0:1.0.8-18.f 100% |  31.3 MiB/s |  96.2 KiB |  00m00s
[ 93/155] Installing libxml2-0:2.12.9-1 100% | 155.7 MiB/s |   1.7 MiB |  00m00s
[ 94/155] Installing libarchive-0:3.7.2 100% | 150.5 MiB/s | 924.5 KiB |  00m00s
[ 95/155] Installing sqlite-libs-0:3.45 100% | 155.7 MiB/s |   1.4 MiB |  00m00s
[ 96/155] Installing rpm-libs-0:4.19.1. 100% | 139.0 MiB/s | 711.4 KiB |  00m00s
[ 97/155] Installing ed-0:1.20.2-1.fc40 100% |  48.6 MiB/s | 149.2 KiB |  00m00s
[ 98/155] Installing patch-0:2.7.6-24.f 100% |  86.0 MiB/s | 264.3 KiB |  00m00s
[ 99/155] Installing elfutils-default-y 100% | 136.2 KiB/s |   2.0 KiB |  00m00s
>>> Running post-install scriptlet: elfutils-default-yama-scope-0:0.192-7.fc40.n
>>> Stop post-install scriptlet: elfutils-default-yama-scope-0:0.192-7.fc40.noar
[100/155] Installing cpio-0:2.15-1.fc40 100% | 110.0 MiB/s |   1.1 MiB |  00m00s
[101/155] Installing diffutils-0:3.10-5 100% | 113.3 MiB/s |   1.6 MiB |  00m00s
[102/155] Installing libpkgconf-0:2.1.1 100% |  73.5 MiB/s |  75.3 KiB |  00m00s
[103/155] Installing pkgconf-0:2.1.1-2. 100% |  27.8 MiB/s |  85.4 KiB |  00m00s
[104/155] Installing keyutils-libs-0:1. 100% |  54.5 MiB/s |  55.8 KiB |  00m00s
[105/155] Installing libverto-0:0.3.2-8 100% |  15.3 MiB/s |  31.3 KiB |  00m00s
[106/155] Installing krb5-libs-0:1.21.3 100% | 128.2 MiB/s |   2.3 MiB |  00m00s
[107/155] Installing libtirpc-0:1.3.6-1 100% |  99.9 MiB/s | 204.5 KiB |  00m00s
[108/155] Installing libnsl2-0:2.0.1-1. 100% |  28.8 MiB/s |  59.0 KiB |  00m00s
[109/155] Installing pam-0:1.6.1-5.fc40 100% |  53.5 MiB/s |   1.8 MiB |  00m00s
[110/155] Installing libssh-0:0.10.6-5. 100% |  83.2 MiB/s | 511.4 KiB |  00m00s
[111/155] Installing libgomp-0:14.2.1-3 100% | 128.2 MiB/s | 525.0 KiB |  00m00s
[112/155] Installing json-c-0:0.17-3.fc 100% |  81.7 MiB/s |  83.6 KiB |  00m00s
[113/155] Installing xxhash-libs-0:0.8. 100% |  89.5 MiB/s |  91.6 KiB |  00m00s
[114/155] Installing libnghttp2-0:1.59. 100% |  81.6 MiB/s | 167.2 KiB |  00m00s
[115/155] Installing libbrotli-0:1.1.0- 100% | 162.5 MiB/s | 831.8 KiB |  00m00s
[116/155] Installing libtool-ltdl-0:2.4 100% |  65.7 MiB/s |  67.3 KiB |  00m00s
[117/155] Installing openldap-0:2.6.8-1 100% | 104.8 MiB/s | 644.0 KiB |  00m00s
[118/155] Installing libcurl-0:8.6.0-10 100% | 126.6 MiB/s | 777.9 KiB |  00m00s
[119/155] Installing elfutils-debuginfo 100% |  40.2 MiB/s |  82.4 KiB |  00m00s
[120/155] Installing elfutils-libs-0:0. 100% | 131.3 MiB/s | 672.2 KiB |  00m00s
[121/155] Installing binutils-gold-0:2. 100% |  75.8 MiB/s |   2.0 MiB |  00m00s
>>> Running post-install scriptlet: binutils-gold-0:2.41-38.fc40.x86_64
>>> Stop post-install scriptlet: binutils-gold-0:2.41-38.fc40.x86_64
[122/155] Installing binutils-0:2.41-38 100% | 141.6 MiB/s |  26.5 MiB |  00m00s
>>> Running post-install scriptlet: binutils-0:2.41-38.fc40.x86_64
>>> Stop post-install scriptlet: binutils-0:2.41-38.fc40.x86_64
[123/155] Installing elfutils-0:0.192-7 100% | 166.2 MiB/s |   2.7 MiB |  00m00s
[124/155] Installing gdb-minimal-0:15.2 100% | 180.4 MiB/s |  13.0 MiB |  00m00s
[125/155] Installing debugedit-0:5.0-18 100% |  49.3 MiB/s | 202.0 KiB |  00m00s
[126/155] Installing rpm-build-libs-0:4 100% |  97.3 MiB/s | 199.2 KiB |  00m00s
[127/155] Installing curl-0:8.6.0-10.fc 100% |  26.8 MiB/s | 740.9 KiB |  00m00s
>>> Running pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
>>> Stop pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
[128/155] Installing rpm-0:4.19.1.1-1.f 100% |  63.1 MiB/s |   2.4 MiB |  00m00s
[129/155] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.2 KiB |  00m00s
[130/155] Installing lua-srpm-macros-0: 100% |   1.9 MiB/s |   1.9 KiB |  00m00s
[131/155] Installing zig-srpm-macros-0: 100% |   1.6 MiB/s |   1.7 KiB |  00m00s
[132/155] Installing pkgconf-m4-0:2.1.1 100% |  14.0 MiB/s |  14.3 KiB |  00m00s
[133/155] Installing pkgconf-pkg-config 100% |   1.7 MiB/s |   1.8 KiB |  00m00s
[134/155] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[135/155] Installing package-notes-srpm 100% |   2.0 MiB/s |   2.0 KiB |  00m00s
[136/155] Installing openblas-srpm-macr 100% |   0.0   B/s | 384.0   B |  00m00s
[137/155] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[138/155] Installing kernel-srpm-macros 100% |   2.3 MiB/s |   2.3 KiB |  00m00s
[139/155] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[140/155] Installing fpc-srpm-macros-0: 100% | 410.2 KiB/s | 420.0   B |  00m00s
[141/155] Installing rust-srpm-macros-0 100% |   5.4 MiB/s |   5.6 KiB |  00m00s
[142/155] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 732.0   B |  00m00s
[143/155] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[144/155] Installing ghc-srpm-macros-0: 100% |   1.0 MiB/s |   1.0 KiB |  00m00s
[145/155] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[146/155] Installing forge-srpm-macros- 100% |  39.3 MiB/s |  40.3 KiB |  00m00s
[147/155] Installing python-srpm-macros 100% |  50.6 MiB/s |  51.8 KiB |  00m00s
[148/155] Installing fonts-srpm-macros- 100% |  55.1 MiB/s |  56.5 KiB |  00m00s
[149/155] Installing go-srpm-macros-0:3 100% |  60.2 MiB/s |  61.6 KiB |  00m00s
[150/155] Installing redhat-rpm-config- 100% |  37.5 MiB/s | 191.9 KiB |  00m00s
[151/155] Installing rpm-build-0:4.19.1 100% |  35.5 MiB/s | 182.0 KiB |  00m00s
[152/155] Installing pyproject-srpm-mac 100% |   1.2 MiB/s |   2.5 KiB |  00m00s
[153/155] Installing util-linux-0:2.40. 100% |  60.5 MiB/s |   3.7 MiB |  00m00s
>>> Running post-install scriptlet: util-linux-0:2.40.2-1.fc40.x86_64
>>> Stop post-install scriptlet: util-linux-0:2.40.2-1.fc40.x86_64
[154/155] Installing which-0:2.21-41.fc 100% |  26.8 MiB/s |  82.4 KiB |  00m00s
[155/155] Installing info-0:7.1-2.fc40. 100% | 257.3 KiB/s | 358.2 KiB |  00m01s
>>> Running post-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64
>>> Stop post-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64
>>> Running post-transaction scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0
>>> Stop post-transaction scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc
>>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-6.fc40.x86_64
>>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-6.fc40.x86_64
>>> Running post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
>>> Stop post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
>>> Running trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
>>> Running trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
>>> Stop trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
Warning: skipped PGP checks for 153 package(s).
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: alternatives-1.27-1.fc40.x86_64
ansible-srpm-macros-1-16.fc40.noarch
audit-libs-4.0.2-1.fc40.x86_64
authselect-1.5.0-6.fc40.x86_64
authselect-libs-1.5.0-6.fc40.x86_64
basesystem-11-20.fc40.noarch
bash-5.2.26-3.fc40.x86_64
binutils-2.41-38.fc40.x86_64
binutils-gold-2.41-38.fc40.x86_64
bzip2-1.0.8-18.fc40.x86_64
bzip2-libs-1.0.8-18.fc40.x86_64
ca-certificates-2024.2.69_v8.0.401-1.0.fc40.noarch
coreutils-9.4-9.fc40.x86_64
coreutils-common-9.4-9.fc40.x86_64
cpio-2.15-1.fc40.x86_64
cracklib-2.9.11-5.fc40.x86_64
crypto-policies-20241011-1.git5930b9a.fc40.noarch
curl-8.6.0-10.fc40.x86_64
cyrus-sasl-lib-2.1.28-19.fc40.x86_64
debugedit-5.0-18.fc40.x86_64
diffutils-3.10-5.fc40.x86_64
dwz-0.15-8.fc40.x86_64
ed-1.20.2-1.fc40.x86_64
efi-srpm-macros-5-11.fc40.noarch
elfutils-0.192-7.fc40.x86_64
elfutils-debuginfod-client-0.192-7.fc40.x86_64
elfutils-default-yama-scope-0.192-7.fc40.noarch
elfutils-libelf-0.192-7.fc40.x86_64
elfutils-libs-0.192-7.fc40.x86_64
fedora-gpg-keys-40-2.noarch
fedora-release-40-40.noarch
fedora-release-common-40-40.noarch
fedora-release-identity-basic-40-40.noarch
fedora-repos-40-2.noarch
file-5.45-4.fc40.x86_64
file-libs-5.45-4.fc40.x86_64
filesystem-3.18-8.fc40.x86_64
findutils-4.9.0-9.fc40.x86_64
fonts-srpm-macros-2.0.5-14.fc40.noarch
forge-srpm-macros-0.4.0-1.fc40.noarch
fpc-srpm-macros-1.3-12.fc40.noarch
gawk-5.3.0-3.fc40.x86_64
gdb-minimal-15.2-3.fc40.x86_64
gdbm-1.23-6.fc40.x86_64
gdbm-libs-1.23-6.fc40.x86_64
ghc-srpm-macros-1.9.1-1.fc40.noarch
glibc-2.39-33.fc40.x86_64
glibc-common-2.39-33.fc40.x86_64
glibc-gconv-extra-2.39-33.fc40.x86_64
glibc-minimal-langpack-2.39-33.fc40.x86_64
gmp-6.2.1-8.fc40.x86_64
gnat-srpm-macros-6-5.fc40.noarch
go-srpm-macros-3.5.0-1.fc40.noarch
grep-3.11-7.fc40.x86_64
gzip-1.13-1.fc40.x86_64
info-7.1-2.fc40.x86_64
jansson-2.13.1-9.fc40.x86_64
json-c-0.17-3.fc40.x86_64
kernel-srpm-macros-1.0-23.fc40.noarch
keyutils-libs-1.6.3-3.fc40.x86_64
krb5-libs-1.21.3-2.fc40.x86_64
libacl-2.3.2-1.fc40.x86_64
libarchive-3.7.2-7.fc40.x86_64
libattr-2.5.2-3.fc40.x86_64
libblkid-2.40.2-1.fc40.x86_64
libbrotli-1.1.0-3.fc40.x86_64
libcap-2.69-8.fc40.x86_64
libcap-ng-0.8.4-4.fc40.x86_64
libcom_err-1.47.0-5.fc40.x86_64
libcurl-8.6.0-10.fc40.x86_64
libeconf-0.6.2-2.fc40.x86_64
libevent-2.1.12-12.fc40.x86_64
libfdisk-2.40.2-1.fc40.x86_64
libffi-3.4.4-7.fc40.x86_64
libgcc-14.2.1-3.fc40.x86_64
libgomp-14.2.1-3.fc40.x86_64
libidn2-2.3.7-1.fc40.x86_64
libmount-2.40.2-1.fc40.x86_64
libnghttp2-1.59.0-3.fc40.x86_64
libnsl2-2.0.1-1.fc40.x86_64
libpkgconf-2.1.1-2.fc40.x86_64
libpsl-0.21.5-3.fc40.x86_64
libpwquality-1.4.5-9.fc40.x86_64
libselinux-3.7-5.fc40.x86_64
libsemanage-3.7-2.fc40.x86_64
libsepol-3.7-2.fc40.x86_64
libsmartcols-2.40.2-1.fc40.x86_64
libssh-0.10.6-5.fc40.x86_64
libssh-config-0.10.6-5.fc40.noarch
libstdc++-14.2.1-3.fc40.x86_64
libtasn1-4.19.0-6.fc40.x86_64
libtirpc-1.3.6-1.rc3.fc40.x86_64
libtool-ltdl-2.4.7-10.fc40.x86_64
libunistring-1.1-7.fc40.x86_64
libutempter-1.2.1-13.fc40.x86_64
libuuid-2.40.2-1.fc40.x86_64
libverto-0.3.2-8.fc40.x86_64
libxcrypt-4.4.37-4.fc40.x86_64
libxml2-2.12.9-1.fc40.x86_64
libzstd-1.5.6-1.fc40.x86_64
lua-libs-5.4.6-5.fc40.x86_64
lua-srpm-macros-1-13.fc40.noarch
lz4-libs-1.9.4-6.fc40.x86_64
mpfr-4.2.1-4.fc40.x86_64
ncurses-base-6.4-12.20240127.fc40.noarch
ncurses-libs-6.4-12.20240127.fc40.x86_64
ocaml-srpm-macros-9-3.fc40.noarch
openblas-srpm-macros-2-16.fc40.noarch
openldap-2.6.8-1.fc40.x86_64
openssl-libs-3.2.2-3.fc40.x86_64
p11-kit-0.25.5-1.fc40.x86_64
p11-kit-trust-0.25.5-1.fc40.x86_64
package-notes-srpm-macros-0.5-11.fc40.noarch
pam-1.6.1-5.fc40.x86_64
pam-libs-1.6.1-5.fc40.x86_64
patch-2.7.6-24.fc40.x86_64
pcre2-10.44-1.fc40.x86_64
pcre2-syntax-10.44-1.fc40.noarch
perl-srpm-macros-1-53.fc40.noarch
pkgconf-2.1.1-2.fc40.x86_64
pkgconf-m4-2.1.1-2.fc40.noarch
pkgconf-pkg-config-2.1.1-2.fc40.x86_64
popt-1.19-6.fc40.x86_64
publicsuffix-list-dafsa-20240107-3.fc40.noarch
pyproject-srpm-macros-1.16.3-1.fc40.noarch
python-srpm-macros-3.12-8.fc40.noarch
qt5-srpm-macros-5.15.15-1.fc40.noarch
qt6-srpm-macros-6.7.2-2.fc40.noarch
readline-8.2-8.fc40.x86_64
redhat-rpm-config-288-1.fc40.noarch
rpm-4.19.1.1-1.fc40.x86_64
rpm-build-4.19.1.1-1.fc40.x86_64
rpm-build-libs-4.19.1.1-1.fc40.x86_64
rpm-libs-4.19.1.1-1.fc40.x86_64
rpm-sequoia-1.7.0-3.fc40.x86_64
rust-srpm-macros-26.3-1.fc40.noarch
sed-4.9-1.fc40.x86_64
setup-2.14.5-2.fc40.noarch
shadow-utils-4.15.1-4.fc40.x86_64
sqlite-libs-3.45.1-2.fc40.x86_64
systemd-libs-255.15-1.fc40.x86_64
tar-1.35-3.fc40.x86_64
unzip-6.0-63.fc40.x86_64
util-linux-2.40.2-1.fc40.x86_64
util-linux-core-2.40.2-1.fc40.x86_64
which-2.21-41.fc40.x86_64
xxhash-libs-0.8.3-1.fc40.x86_64
xz-5.4.6-3.fc40.x86_64
xz-libs-5.4.6-3.fc40.x86_64
zig-srpm-macros-1-2.fc40.noarch
zip-3.0-40.fc40.x86_64
zlib-ng-compat-2.1.7-2.fc40.x86_64
zstd-1.5.6-1.fc40.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1706227200
Wrote: /builddir/build/SRPMS/python-xarray-2023.9.0-3.fc40.src.rpm
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-40-x86_64-1736348094.493736/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-bw2lyumt/python-xarray/python-xarray.spec) Config(child) 0 minutes 38 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-xarray-2023.9.0-3.fc40.src.rpm)  Config(fedora-40-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-bootstrap-1736348094.493736/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-40-x86_64-bootstrap-1736348094.493736/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-40-x86_64-1736348094.493736/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-4.19.1.1-1.fc40.x86_64
  rpm-sequoia-1.7.0-3.fc40.x86_64
  python3-dnf-4.22.0-1.fc40.noarch
  yum-4.22.0-1.fc40.noarch
  dnf5-5.1.17-3.fc40.x86_64
  dnf5-plugins-5.1.17-3.fc40.x86_64
Finish: chroot init
Start: build phase for python-xarray-2023.9.0-3.fc40.src.rpm
Start: build setup for python-xarray-2023.9.0-3.fc40.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1706227200
Wrote: /builddir/build/SRPMS/python-xarray-2023.9.0-3.fc40.src.rpm
Updating and loading repositories:
 updates                                100% | 842.2 KiB/s |  29.5 KiB |  00m00s
 fedora                                 100% | 939.4 KiB/s |  30.1 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% |  59.9 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% |  34.4 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package                         Arch   Version                    Repository                                                           Size
Installing:                                                                                                                                
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 python3-zarr                   noarch 2.18.3-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.2 MiB
Installing dependencies:                                                                                                                   
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 poppler                        x86_64 24.02.0-2.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.5 MiB
 poppler-data                   noarch 0.4.11-7.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  12.3 MiB
 proj                           x86_64 9.3.1-4.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   4.3 MiB
 proj-data                      noarch 9.3.1-4.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   8.5 MiB
 protobuf                       x86_64 3.19.6-8.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.3 MiB
 protobuf-compiler              x86_64 3.19.6-8.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.5 MiB
 pyproject-rpm-macros           noarch 1.16.3-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 113.7 KiB
 python-pip-wheel               noarch 23.3.2-2.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.5 MiB
 python-rpm-macros              noarch 3.12-8.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  22.1 KiB
 python3                        x86_64 3.12.8-2.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  31.5 KiB
 python3-affine                 noarch 2.4.0-6.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 163.5 KiB
 python3-appdirs                noarch 1.4.4-13.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  69.0 KiB
 python3-asciitree              noarch 0.3.3-28.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  20.3 KiB
 python3-attrs                  noarch 23.2.0-4.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 379.5 KiB
 python3-babel                  noarch 2.16.0-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  28.3 MiB
 python3-brotli                 x86_64 1.1.0-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 824.1 KiB
 python3-cairo                  x86_64 1.25.1-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 492.5 KiB
 python3-certifi                noarch 2023.05.07-4.fc40          http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   6.6 KiB
 python3-charset-normalizer     noarch 3.3.2-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 312.7 KiB
 python3-click                  noarch 8.1.7-4.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.1 MiB
 python3-click-plugins          noarch 1.1.1-19.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  24.2 KiB
 python3-cligj                  noarch 0.7.2-12.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  33.0 KiB
 python3-cloudpickle            noarch 3.0.0-5.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 124.1 KiB
 python3-contourpy              x86_64 1.2.0-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 779.1 KiB
 python3-cycler                 noarch 0.11.0-11.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  38.2 KiB
 python3-cython                 x86_64 3.0.9-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  17.9 MiB
 python3-dask                   noarch 2024.11.2-1.fc40           http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  17.5 MiB
 python3-dask-expr              noarch 1.1.19-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.9 MiB
 python3-dateutil               noarch 1:2.8.2-13.fc40            http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 877.8 KiB
 python3-docutils               noarch 0.20.1-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   4.8 MiB
 python3-execnet                noarch 1.9.0-14.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 915.6 KiB
 python3-fasteners              noarch 0.19-4.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 116.3 KiB
 python3-flexcache              noarch 0.2-7.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  50.3 KiB
 python3-fonttools              x86_64 4.50.0-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  18.0 MiB
 python3-fs                     noarch 2.4.16-7.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.3 MiB
 python3-fsspec                 noarch 2024.12.0-1.fc40           http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.7 MiB
 python3-husl                   noarch 4.0.3-29.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  20.8 KiB
 python3-idna                   noarch 3.7-1.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 594.6 KiB
 python3-imagesize              noarch 1.4.1-7.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  34.7 KiB
 python3-iniconfig              noarch 1.1.1-16.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  20.5 KiB
 python3-jinja2                 noarch 3.1.5-1.fc40               copr_base                                                         2.9 MiB
 python3-kiwisolver             x86_64 1.4.8-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 153.8 KiB
 python3-libs                   x86_64 3.12.8-2.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  41.3 MiB
 python3-locket                 noarch 1.0.0-8.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  20.6 KiB
 python3-lxml                   x86_64 5.1.0-7.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   5.2 MiB
 python3-markupsafe             x86_64 2.1.3-4.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  56.3 KiB
 python3-matplotlib             x86_64 3.8.4-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  20.3 MiB
 python3-matplotlib-data        noarch 3.8.4-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 740.9 KiB
 python3-matplotlib-data-fonts  noarch 3.8.4-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   7.9 MiB
 python3-matplotlib-tk          x86_64 3.8.4-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 119.5 KiB
 python3-numcodecs              x86_64 0.14.1-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.7 MiB
 python3-numexpr                x86_64 2.8.5-4.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 568.3 KiB
 python3-numpy                  x86_64 1:1.26.4-3.fc40            http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  43.9 MiB
 python3-numpy-f2py             x86_64 1:1.26.4-3.fc40            http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.7 MiB
 python3-numpydoc               noarch 1.6.0-4.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 636.9 KiB
 python3-olefile                noarch 0.47-3.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 343.2 KiB
 python3-packaging              noarch 23.2-4.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 421.1 KiB
 python3-pandas                 x86_64 2.2.1-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  42.4 MiB
 python3-partd                  noarch 1.4.2-2.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 161.8 KiB
 python3-pillow                 x86_64 10.3.0-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.3 MiB
 python3-pillow-tk              x86_64 10.3.0-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  54.4 KiB
 python3-platformdirs           noarch 3.11.0-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 162.4 KiB
 python3-pluggy                 noarch 1.3.0-3.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 182.5 KiB
 python3-pooch                  noarch 1.8.2-2.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 629.8 KiB
 python3-pyarrow                x86_64 15.0.2-6.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  14.4 MiB
 python3-pygments               noarch 2.17.2-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  10.3 MiB
 python3-pyparsing              noarch 3.1.2-2.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.0 MiB
 python3-pytz                   noarch 2024.2-1.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 225.7 KiB
 python3-pyyaml                 x86_64 6.0.1-14.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 786.4 KiB
 python3-requests               noarch 2.31.0-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 462.4 KiB
 python3-rpm-generators         noarch 14-10.fc40                 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  81.7 KiB
 python3-rpm-macros             noarch 3.12-8.fc40                http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   6.4 KiB
 python3-scipy                  x86_64 1.11.3-11.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  62.9 MiB
 python3-setuptools             noarch 69.0.3-4.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   7.1 MiB
 python3-six                    noarch 1.16.0-14.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 117.7 KiB
 python3-snowballstemmer        noarch 2.2.0-10.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.7 MiB
 python3-sphinx                 noarch 1:7.2.6-6.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  10.8 MiB
 python3-sphinx-theme-alabaster noarch 0.7.16-3.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  41.9 KiB
 python3-tabulate               noarch 0.9.0-6.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 343.7 KiB
 python3-tkinter                x86_64 3.12.8-2.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   2.2 MiB
 python3-toolz                  noarch 0.12.0-6.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 607.6 KiB
 python3-urllib3                noarch 1.26.20-1.fc40             http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 999.0 KiB
 re2                            x86_64 1:20220601-19.fc40         http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 496.9 KiB
 snappy                         x86_64 1.1.10-4.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  67.0 KiB
 tcl                            x86_64 1:8.6.13-3.fc40            http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   4.2 MiB
 thrift                         x86_64 0.15.0-4.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   4.6 MiB
 tk                             x86_64 1:8.6.13-3.fc40            http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.6 MiB
 tpm2-tss                       x86_64 4.1.3-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.5 MiB
 tzdata                         noarch 2024a-5.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.6 MiB
 unixODBC                       x86_64 2.3.12-4.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   1.2 MiB
 uriparser                      x86_64 0.9.8-1.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 141.9 KiB
 utf8proc                       x86_64 2.7.0-7.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 362.4 KiB
 xerces-c                       x86_64 3.2.5-2.fc40               http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch   3.6 MiB
 xml-common                     noarch 0.6.3-63.fc40              http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  78.4 KiB

Transaction Summary:
 Installing:      211 packages

Total size of inbound packages is 175 MiB. Need to download 138 MiB.
After this operation 767 MiB will be used (install 767 MiB, remove 0 B).
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[211/211] Total                         100% |  39.1 MiB/s | 138.4 MiB |  00m04s
Running transaction
[  1/213] Verify package files          100% | 328.0   B/s | 211.0   B |  00m01s
[  2/213] Prepare transaction           100% | 649.0   B/s | 211.0   B |  00m00s
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>>> Running pre-install scriptlet: xml-common-0:0.6.3-63.fc40.noarch
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>>> Running pre-install scriptlet: tpm2-tss-0:4.1.3-1.fc40.x86_64
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>>> Running post-install scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64
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[190/213] Installing libraqm-0:0.8.0-7. 100% |  29.0 MiB/s |  29.7 KiB |  00m00s
[191/213] Installing python3-pillow-0:1 100% |  44.2 MiB/s |   3.4 MiB |  00m00s
[192/213] Installing python3-pillow-tk- 100% |  54.8 MiB/s |  56.1 KiB |  00m00s
[193/213] Installing python3-matplotlib 100% |  39.7 MiB/s | 122.1 KiB |  00m00s
[194/213] Installing python3-matplotlib 100% |  86.4 MiB/s |  20.5 MiB |  00m00s
[195/213] Installing python3-pandas-0:2 100% |  87.2 MiB/s |  42.6 MiB |  00m00s
[196/213] Installing python3-dask+array 100% |  60.5 KiB/s | 124.0   B |  00m00s
[197/213] Installing python3-dask-0:202 100% | 123.2 MiB/s |  17.6 MiB |  00m00s
[198/213] Installing python3-dask-expr- 100% | 140.9 MiB/s |   3.0 MiB |  00m00s
[199/213] Installing python3-dask+dataf 100% |   0.0   B/s | 124.0   B |  00m00s
[200/213] Installing xerces-c-0:3.2.5-2 100% | 169.3 MiB/s |   3.6 MiB |  00m00s
[201/213] Installing unixODBC-0:2.3.12- 100% |  16.3 MiB/s |   1.2 MiB |  00m00s
[202/213] Installing libgta-0:1.2.1-12. 100% |  69.9 MiB/s |  71.6 KiB |  00m00s
[203/213] Installing giflib-0:5.2.2-1.f 100% | 111.2 MiB/s | 113.9 KiB |  00m00s
[204/213] Installing cfitsio-0:4.4.0-2. 100% |  36.2 MiB/s |   1.8 MiB |  00m00s
[205/213] Installing libpq-0:16.4-1.fc4 100% | 135.3 MiB/s | 969.6 KiB |  00m00s
[206/213] Installing libdeflate-0:1.23- 100% | 117.4 MiB/s | 120.2 KiB |  00m00s
[207/213] Installing gdal-libs-0:3.8.5- 100% | 140.6 MiB/s |  27.0 MiB |  00m00s
[208/213] Installing python3-rasterio-0 100% | 115.3 MiB/s |   5.3 MiB |  00m00s
[209/213] Installing python3-seaborn-0: 100% | 104.1 MiB/s |   2.3 MiB |  00m00s
[210/213] Installing python3-netcdf4-0: 100% | 151.6 MiB/s |   2.3 MiB |  00m00s
[211/213] Installing python3-pytest-xdi 100% |  64.8 MiB/s | 398.0 KiB |  00m00s
[212/213] Installing python3-zarr-0:2.1 100% | 134.7 MiB/s |   3.2 MiB |  00m00s
[213/213] Installing python3-pint-0:0.1 100% |   2.4 MiB/s |   2.7 MiB |  00m01s
>>> Running post-transaction scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64
>>> Stop post-transaction scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64
>>> Running post-transaction scriptlet: crypto-policies-scripts-0:20241011-1.git
>>> Stop post-transaction scriptlet: crypto-policies-scripts-0:20241011-1.git593
>>> Running post-transaction scriptlet: nss-0:3.107.0-1.fc40.x86_64
>>> Stop post-transaction scriptlet: nss-0:3.107.0-1.fc40.x86_64
>>> Running trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
>>> Running trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
>>> Stop trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
>>> Running trigger-install scriptlet: glib2-0:2.80.3-1.fc40.x86_64
>>> Stop trigger-install scriptlet: glib2-0:2.80.3-1.fc40.x86_64
>>> Running trigger-install scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64
>>> Stop trigger-install scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64
Warning: skipped PGP checks for 211 package(s).
Finish: build setup for python-xarray-2023.9.0-3.fc40.src.rpm
Start: rpmbuild python-xarray-2023.9.0-3.fc40.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1706227200
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.hbGMOg
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf xarray-2023.9.0
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/xarray-2023.9.0.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd xarray-2023.9.0
+ rm -rf /builddir/build/BUILD/xarray-2023.9.0-SPECPARTS
+ /usr/bin/mkdir -p /builddir/build/BUILD/xarray-2023.9.0-SPECPARTS
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/0001-DOC-Skip-examples-using-unpackaged-dependencies.patch
+ /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f
+ /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/0002-DOC-Don-t-print-out-conda-pip-environment.patch
+ /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.86GH3w
+ umask 022
+ cd /builddir/build/BUILD
+ cd xarray-2023.9.0
+ 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/xarray-2023.9.0/.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 -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 -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 -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 -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-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir
+ RPM_TOXENV=py312
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/xarray-2023.9.0/pyproject-wheeldir --output /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires -r
Handling setuptools>=42 from build-system.requires
Requirement satisfied: setuptools>=42
   (installed: setuptools 69.0.3)
Handling setuptools-scm>=7 from build-system.requires
Requirement not satisfied: setuptools-scm>=7
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xarray-2023.9.0-3.fc40.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 updates                                100% | 796.6 KiB/s |  29.5 KiB |  00m00s
 fedora                                 100% |   1.0 MiB/s |  30.1 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% |  66.1 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% |  36.1 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.16.3-1.fc40.noarch" is already installed.
Package                    Arch   Version       Repository                                                           Size
Installing:                                                                                                              
 python3-pip               noarch 23.3.2-2.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch  14.2 MiB
 python3-setuptools_scm    noarch 8.0.4-3.fc40  http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 307.7 KiB
Installing dependencies:                                                                                                 
 python3-typing-extensions noarch 4.12.2-2.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 458.4 KiB

Transaction Summary:
 Installing:        3 packages

Package "python3-devel-3.12.8-2.fc40.x86_64" is already installed.
Package "python3-Bottleneck-1.3.7-5.fc40.x86_64" is already installed.
Package "python3-cftime-1.6.3-4.fc40.x86_64" is already installed.
Package "python3-dask+array-2024.11.2-1.fc40.noarch" is already installed.
Package "python3-dask+dataframe-2024.11.2-1.fc40.noarch" is already installed.
Package "python3-netcdf4-1.6.5-3.fc40.x86_64" is already installed.
Package "python3-packaging-23.2-4.fc40.noarch" is already installed.
Package "python3-pint-0.19.2-10.fc40.noarch" is already installed.
Package "python3-pytest-7.4.3-3.fc40.noarch" is already installed.
Package "python3-pytest-xdist-3.5.0-3.fc40.noarch" is already installed.
Package "python3-rasterio-1.4.3-1.fc40.x86_64" is already installed.
Package "python3-seaborn-0.13.2-1.fc40.noarch" is already installed.
Package "python3-setuptools-69.0.3-4.fc40.noarch" is already installed.
Package "python3-zarr-2.18.3-1.fc40.noarch" is already installed.

Total size of inbound packages is 3 MiB. Need to download 0 B.
After this operation 15 MiB will be used (install 15 MiB, remove 0 B).
[1/3] python3-pip-0:23.3.2-2.fc40.noarc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded
[2/3] python3-setuptools_scm-0:8.0.4-3. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded
[3/3] python3-typing-extensions-0:4.12. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded
--------------------------------------------------------------------------------
[3/3] Total                             100% |   0.0   B/s |   0.0   B |  00m00s
Running transaction
[1/5] Verify package files              100% | 250.0   B/s |   3.0   B |  00m00s
[2/5] Prepare transaction               100% |  50.0   B/s |   3.0   B |  00m00s
[3/5] Installing python3-typing-extensi 100% | 112.5 MiB/s | 460.8 KiB |  00m00s
[4/5] Installing python3-setuptools_scm 100% |  29.0 MiB/s | 326.9 KiB |  00m00s
[5/5] Installing python3-pip-0:23.3.2-2 100% |  65.7 MiB/s |  14.5 MiB |  00m00s
>>> Running trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
Warning: skipped PGP checks for 3 package(s).
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1706227200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.UqTx5D
+ umask 022
+ cd /builddir/build/BUILD
+ cd xarray-2023.9.0
+ 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/xarray-2023.9.0/.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 -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 -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 -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 -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-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir
+ RPM_TOXENV=py312
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/xarray-2023.9.0/pyproject-wheeldir --output /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires -r
Handling setuptools>=42 from build-system.requires
Requirement satisfied: setuptools>=42
   (installed: setuptools 69.0.3)
Handling setuptools-scm>=7 from build-system.requires
Requirement satisfied: setuptools-scm>=7
   (installed: setuptools-scm 8.0.4)
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:308: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:327: UserWarning: unprocessed git archival found (no export subst applied)
  warnings.warn("unprocessed git archival found (no export subst applied)")
running egg_info
writing xarray.egg-info/PKG-INFO
writing dependency_links to xarray.egg-info/dependency_links.txt
writing entry points to xarray.egg-info/entry_points.txt
writing requirements to xarray.egg-info/requires.txt
writing top-level names to xarray.egg-info/top_level.txt
reading manifest file 'xarray.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file 'xarray.egg-info/SOURCES.txt'
Handling wheel from get_requires_for_build_wheel
Requirement not satisfied: wheel
Exiting dependency generation pass: get_requires_for_build_wheel
+ cat /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xarray-2023.9.0-3.fc40.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 updates                                100% | 893.2 KiB/s |  29.5 KiB |  00m00s
 fedora                                 100% | 969.6 KiB/s |  30.1 KiB |  00m00s
 Copr repository                        100% |  42.1 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% |  70.9 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.16.3-1.fc40.noarch" is already installed.
Package "python3-devel-3.12.8-2.fc40.x86_64" is already installed.
Package "python3-Bottleneck-1.3.7-5.fc40.x86_64" is already installed.
Package "python3-cftime-1.6.3-4.fc40.x86_64" is already installed.
Package "python3-dask+array-2024.11.2-1.fc40.noarch" is already installed.
Package "python3-dask+dataframe-2024.11.2-1.fc40.noarch" is already installed.
Package "python3-netcdf4-1.6.5-3.fc40.x86_64" is already installed.
Package "python3-packaging-23.2-4.fc40.noarch" is already installed.
Package "python3-pint-0.19.2-10.fc40.noarch" is already installed.
Package "python3-pip-23.3.2-2.fc40.noarch" is already installed.
Package "python3-pytest-7.4.3-3.fc40.noarch" is already installed.
Package "python3-pytest-xdist-3.5.0-3.fc40.noarch" is already installed.
Package "python3-rasterio-1.4.3-1.fc40.x86_64" is already installed.
Package "python3-seaborn-0.13.2-1.fc40.noarch" is already installed.
Package "python3-setuptools-69.0.3-4.fc40.noarch" is already installed.
Package "python3-setuptools_scm-8.0.4-3.fc40.noarch" is already installed.
Package "python3-zarr-2.18.3-1.fc40.noarch" is already installed.

Package        Arch   Version         Repository                                                           Size
Installing:                                                                                                    
 python3-wheel noarch 1:0.41.2-3.fc40 http_kojipkgs_fedoraproject_org_repos_f40_build_latest_basearch 507.1 KiB

Transaction Summary:
 Installing:        1 packages

Total size of inbound packages is 148 KiB. Need to download 0 B.
After this operation 507 KiB will be used (install 507 KiB, remove 0 B).
[1/1] python3-wheel-1:0.41.2-3.fc40.noa 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded
--------------------------------------------------------------------------------
[1/1] Total                             100% |   0.0   B/s |   0.0   B |  00m00s
Running transaction
[1/3] Verify package files              100% |   0.0   B/s |   1.0   B |  00m00s
[2/3] Prepare transaction               100% |  45.0   B/s |   1.0   B |  00m00s
[3/3] Installing python3-wheel-1:0.41.2 100% |  10.1 MiB/s | 526.1 KiB |  00m00s
>>> Running trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39-33.fc40.x86_64
Warning: skipped PGP checks for 1 package(s).
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1706227200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.yBatBa
+ umask 022
+ cd /builddir/build/BUILD
+ cd xarray-2023.9.0
+ 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/xarray-2023.9.0/.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 -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 -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 -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 -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-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir
+ RPM_TOXENV=py312
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/xarray-2023.9.0/pyproject-wheeldir --output /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires -r
Handling setuptools>=42 from build-system.requires
Requirement satisfied: setuptools>=42
   (installed: setuptools 69.0.3)
Handling setuptools-scm>=7 from build-system.requires
Requirement satisfied: setuptools-scm>=7
   (installed: setuptools-scm 8.0.4)
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:308: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:327: UserWarning: unprocessed git archival found (no export subst applied)
  warnings.warn("unprocessed git archival found (no export subst applied)")
running egg_info
writing xarray.egg-info/PKG-INFO
writing dependency_links to xarray.egg-info/dependency_links.txt
writing entry points to xarray.egg-info/entry_points.txt
writing requirements to xarray.egg-info/requires.txt
writing top-level names to xarray.egg-info/top_level.txt
reading manifest file 'xarray.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file 'xarray.egg-info/SOURCES.txt'
Handling wheel from get_requires_for_build_wheel
Requirement satisfied: wheel
   (installed: wheel 0.41.2)
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:308: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:327: UserWarning: unprocessed git archival found (no export subst applied)
  warnings.warn("unprocessed git archival found (no export subst applied)")
running dist_info
writing xarray.egg-info/PKG-INFO
writing dependency_links to xarray.egg-info/dependency_links.txt
writing entry points to xarray.egg-info/entry_points.txt
writing requirements to xarray.egg-info/requires.txt
writing top-level names to xarray.egg-info/top_level.txt
reading manifest file 'xarray.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file 'xarray.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/xarray-2023.9.0/xarray-2023.9.0.dist-info'
Handling numpy >=1.21 from hook generated metadata: Requires-Dist (xarray)
Requirement satisfied: numpy >=1.21
   (installed: numpy 1.26.4)
Handling packaging >=21.3 from hook generated metadata: Requires-Dist (xarray)
Requirement satisfied: packaging >=21.3
   (installed: packaging 23.2)
Handling pandas >=1.4 from hook generated metadata: Requires-Dist (xarray)
Requirement satisfied: pandas >=1.4
   (installed: pandas 2.2.1)
Handling scipy ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: scipy ; extra == 'accel'
Handling bottleneck ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: bottleneck ; extra == 'accel'
Handling numbagg ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: numbagg ; extra == 'accel'
Handling flox ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: flox ; extra == 'accel'
Handling xarray[accel,io,parallel,viz] ; extra == 'complete' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: xarray[accel,io,parallel,viz] ; extra == 'complete'
Handling netCDF4 ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: netCDF4 ; extra == 'io'
Handling h5netcdf ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: h5netcdf ; extra == 'io'
Handling scipy ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: scipy ; extra == 'io'
Handling zarr ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: zarr ; extra == 'io'
Handling fsspec ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: fsspec ; extra == 'io'
Handling cftime ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: cftime ; extra == 'io'
Handling pooch ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: pooch ; extra == 'io'
Handling pydap ; (python_version < "3.10") and extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: pydap ; (python_version < "3.10") and extra == 'io'
Handling dask[complete] ; extra == 'parallel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: dask[complete] ; extra == 'parallel'
Handling matplotlib ; extra == 'viz' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: matplotlib ; extra == 'viz'
Handling seaborn ; extra == 'viz' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: seaborn ; extra == 'viz'
Handling nc-time-axis ; extra == 'viz' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: nc-time-axis ; extra == 'viz'
+ cat /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires
+ rm -rfv xarray-2023.9.0.dist-info/
removed 'xarray-2023.9.0.dist-info/entry_points.txt'
removed 'xarray-2023.9.0.dist-info/top_level.txt'
removed 'xarray-2023.9.0.dist-info/METADATA'
removed 'xarray-2023.9.0.dist-info/LICENSE'
removed directory 'xarray-2023.9.0.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xarray-2023.9.0-3.fc40.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 updates                                100% |   1.1 MiB/s |  29.5 KiB |  00m00s
 fedora                                 100% |   1.2 MiB/s |  30.1 KiB |  00m00s
 Copr repository                        100% |  48.9 KiB/s |   1.5 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% |  70.9 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.16.3-1.fc40.noarch" is already installed.Nothing to do.

Package "python3-devel-3.12.8-2.fc40.x86_64" is already installed.
Package "python3-Bottleneck-1.3.7-5.fc40.x86_64" is already installed.
Package "python3-cftime-1.6.3-4.fc40.x86_64" is already installed.
Package "python3-dask+array-2024.11.2-1.fc40.noarch" is already installed.
Package "python3-dask+dataframe-2024.11.2-1.fc40.noarch" is already installed.
Package "python3-netcdf4-1.6.5-3.fc40.x86_64" is already installed.
Package "python3-numpy-1:1.26.4-3.fc40.x86_64" is already installed.
Package "python3-packaging-23.2-4.fc40.noarch" is already installed.
Package "python3-packaging-23.2-4.fc40.noarch" is already installed.
Package "python3-pandas-2.2.1-1.fc40.x86_64" is already installed.
Package "python3-pint-0.19.2-10.fc40.noarch" is already installed.
Package "python3-pip-23.3.2-2.fc40.noarch" is already installed.
Package "python3-pytest-7.4.3-3.fc40.noarch" is already installed.
Package "python3-pytest-xdist-3.5.0-3.fc40.noarch" is already installed.
Package "python3-rasterio-1.4.3-1.fc40.x86_64" is already installed.
Package "python3-seaborn-0.13.2-1.fc40.noarch" is already installed.
Package "python3-setuptools-69.0.3-4.fc40.noarch" is already installed.
Package "python3-setuptools_scm-8.0.4-3.fc40.noarch" is already installed.
Package "python3-wheel-1:0.41.2-3.fc40.noarch" is already installed.
Package "python3-zarr-2.18.3-1.fc40.noarch" is already installed.

Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1706227200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.FAJG84
+ umask 022
+ cd /builddir/build/BUILD
+ cd xarray-2023.9.0
+ 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/xarray-2023.9.0/.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 -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 -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 -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 -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-annobin-cc1  -Wl,--build-id=sha1  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir
+ RPM_TOXENV=py312
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/xarray-2023.9.0/pyproject-wheeldir --output /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires -r
Handling setuptools>=42 from build-system.requires
Requirement satisfied: setuptools>=42
   (installed: setuptools 69.0.3)
Handling setuptools-scm>=7 from build-system.requires
Requirement satisfied: setuptools-scm>=7
   (installed: setuptools-scm 8.0.4)
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:308: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:327: UserWarning: unprocessed git archival found (no export subst applied)
  warnings.warn("unprocessed git archival found (no export subst applied)")
running egg_info
writing xarray.egg-info/PKG-INFO
writing dependency_links to xarray.egg-info/dependency_links.txt
writing entry points to xarray.egg-info/entry_points.txt
writing requirements to xarray.egg-info/requires.txt
writing top-level names to xarray.egg-info/top_level.txt
reading manifest file 'xarray.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file 'xarray.egg-info/SOURCES.txt'
Handling wheel from get_requires_for_build_wheel
Requirement satisfied: wheel
   (installed: wheel 0.41.2)
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:308: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.12/site-packages/setuptools_scm/git.py:327: UserWarning: unprocessed git archival found (no export subst applied)
  warnings.warn("unprocessed git archival found (no export subst applied)")
running dist_info
writing xarray.egg-info/PKG-INFO
writing dependency_links to xarray.egg-info/dependency_links.txt
writing entry points to xarray.egg-info/entry_points.txt
writing requirements to xarray.egg-info/requires.txt
writing top-level names to xarray.egg-info/top_level.txt
reading manifest file 'xarray.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file 'xarray.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/xarray-2023.9.0/xarray-2023.9.0.dist-info'
Handling numpy >=1.21 from hook generated metadata: Requires-Dist (xarray)
Requirement satisfied: numpy >=1.21
   (installed: numpy 1.26.4)
Handling packaging >=21.3 from hook generated metadata: Requires-Dist (xarray)
Requirement satisfied: packaging >=21.3
   (installed: packaging 23.2)
Handling pandas >=1.4 from hook generated metadata: Requires-Dist (xarray)
Requirement satisfied: pandas >=1.4
   (installed: pandas 2.2.1)
Handling scipy ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: scipy ; extra == 'accel'
Handling bottleneck ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: bottleneck ; extra == 'accel'
Handling numbagg ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: numbagg ; extra == 'accel'
Handling flox ; extra == 'accel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: flox ; extra == 'accel'
Handling xarray[accel,io,parallel,viz] ; extra == 'complete' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: xarray[accel,io,parallel,viz] ; extra == 'complete'
Handling netCDF4 ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: netCDF4 ; extra == 'io'
Handling h5netcdf ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: h5netcdf ; extra == 'io'
Handling scipy ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: scipy ; extra == 'io'
Handling zarr ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: zarr ; extra == 'io'
Handling fsspec ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: fsspec ; extra == 'io'
Handling cftime ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: cftime ; extra == 'io'
Handling pooch ; extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: pooch ; extra == 'io'
Handling pydap ; (python_version < "3.10") and extra == 'io' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: pydap ; (python_version < "3.10") and extra == 'io'
Handling dask[complete] ; extra == 'parallel' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: dask[complete] ; extra == 'parallel'
Handling matplotlib ; extra == 'viz' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: matplotlib ; extra == 'viz'
Handling seaborn ; extra == 'viz' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: seaborn ; extra == 'viz'
Handling nc-time-axis ; extra == 'viz' from hook generated metadata: Requires-Dist (xarray)
Ignoring alien requirement: nc-time-axis ; extra == 'viz'
+ cat /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-buildrequires
+ rm -rfv xarray-2023.9.0.dist-info/
removed 'xarray-2023.9.0.dist-info/entry_points.txt'
removed 'xarray-2023.9.0.dist-info/top_level.txt'
removed 'xarray-2023.9.0.dist-info/METADATA'
removed 'xarray-2023.9.0.dist-info/LICENSE'
removed directory 'xarray-2023.9.0.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.xY7aGn
+ umask 022
+ cd /builddir/build/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 -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 -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 -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 -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-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 xarray-2023.9.0
+ mkdir -p /builddir/build/BUILD/xarray-2023.9.0/.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 -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 -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 -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 -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-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/xarray-2023.9.0/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/xarray-2023.9.0/pyproject-wheeldir
Processing /builddir/build/BUILD/xarray-2023.9.0
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  /usr/lib/python3.12/site-packages/setuptools_scm/git.py:308: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.12/site-packages/setuptools_scm/git.py:327: UserWarning: unprocessed git archival found (no export subst applied)
    warnings.warn("unprocessed git archival found (no export subst applied)")
  running dist_info
  creating /builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info
  writing /builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/PKG-INFO
  writing dependency_links to /builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/dependency_links.txt
  writing entry points to /builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/entry_points.txt
  writing requirements to /builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/requires.txt
  writing top-level names to /builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/top_level.txt
  writing manifest file '/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/SOURCES.txt'
  reading manifest file '/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/SOURCES.txt'
  adding license file 'LICENSE'
  writing manifest file '/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray.egg-info/SOURCES.txt'
  creating '/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-modern-metadata-8skm6w35/xarray-2023.9.0.dist-info'
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: xarray
  Building wheel for xarray (pyproject.toml): started
  Running command Building wheel for xarray (pyproject.toml)
  /usr/lib/python3.12/site-packages/setuptools_scm/git.py:308: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.12/site-packages/setuptools_scm/git.py:327: UserWarning: unprocessed git archival found (no export subst applied)
    warnings.warn("unprocessed git archival found (no export subst applied)")
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build/lib
  creating build/lib/xarray
  copying xarray/__init__.py -> build/lib/xarray
  copying xarray/conventions.py -> build/lib/xarray
  copying xarray/convert.py -> build/lib/xarray
  copying xarray/testing.py -> build/lib/xarray
  copying xarray/tutorial.py -> build/lib/xarray
  running egg_info
  writing xarray.egg-info/PKG-INFO
  writing dependency_links to xarray.egg-info/dependency_links.txt
  writing entry points to xarray.egg-info/entry_points.txt
  writing requirements to xarray.egg-info/requires.txt
  writing top-level names to xarray.egg-info/top_level.txt
  reading manifest file 'xarray.egg-info/SOURCES.txt'
  adding license file 'LICENSE'
  writing manifest file 'xarray.egg-info/SOURCES.txt'
  /usr/lib/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.backends' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.backends' 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 'xarray.backends' 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 'xarray.backends' to be distributed and are
          already explicitly excluding 'xarray.backends' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.coding' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.coding' 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 'xarray.coding' 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 'xarray.coding' to be distributed and are
          already explicitly excluding 'xarray.coding' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.core' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.core' 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 'xarray.core' 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 'xarray.core' to be distributed and are
          already explicitly excluding 'xarray.core' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.indexes' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.indexes' 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 'xarray.indexes' 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 'xarray.indexes' to be distributed and are
          already explicitly excluding 'xarray.indexes' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.plot' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.plot' 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 'xarray.plot' 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 'xarray.plot' to be distributed and are
          already explicitly excluding 'xarray.plot' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.static' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.static' 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 'xarray.static' 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 'xarray.static' to be distributed and are
          already explicitly excluding 'xarray.static' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.static.css' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.static.css' 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 'xarray.static.css' 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 'xarray.static.css' to be distributed and are
          already explicitly excluding 'xarray.static.css' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.static.html' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.static.html' 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 'xarray.static.html' 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 'xarray.static.html' to be distributed and are
          already explicitly excluding 'xarray.static.html' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.tests' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.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 'xarray.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 'xarray.tests' to be distributed and are
          already explicitly excluding 'xarray.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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.tests.data' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.tests.data' 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 'xarray.tests.data' 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 'xarray.tests.data' to be distributed and are
          already explicitly excluding 'xarray.tests.data' 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/python3.12/site-packages/setuptools/command/build_py.py:207: _Warning: Package 'xarray.util' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xarray.util' 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 'xarray.util' 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 'xarray.util' to be distributed and are
          already explicitly excluding 'xarray.util' 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)
  copying xarray/py.typed -> build/lib/xarray
  creating build/lib/xarray/backends
  copying xarray/backends/__init__.py -> build/lib/xarray/backends
  copying xarray/backends/api.py -> build/lib/xarray/backends
  copying xarray/backends/common.py -> build/lib/xarray/backends
  copying xarray/backends/file_manager.py -> build/lib/xarray/backends
  copying xarray/backends/h5netcdf_.py -> build/lib/xarray/backends
  copying xarray/backends/locks.py -> build/lib/xarray/backends
  copying xarray/backends/lru_cache.py -> build/lib/xarray/backends
  copying xarray/backends/memory.py -> build/lib/xarray/backends
  copying xarray/backends/netCDF4_.py -> build/lib/xarray/backends
  copying xarray/backends/netcdf3.py -> build/lib/xarray/backends
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  creating build/lib/xarray/tests/data
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  installing to build/bdist.linux-x86_64/wheel
  running install
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  creating build/bdist.linux-x86_64
  creating build/bdist.linux-x86_64/wheel
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  copying build/lib/xarray/tests/test_cupy.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_dask.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_dataarray.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_dataset.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_deprecation_helpers.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_distributed.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_dtypes.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_duck_array_ops.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_extensions.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_formatting.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_formatting_html.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_groupby.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_indexes.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_indexing.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_interp.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_merge.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_missing.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_nputils.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_options.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_parallelcompat.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_plot.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_plugins.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_print_versions.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_rolling.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_sparse.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_testing.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_tutorial.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_typed_ops.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_ufuncs.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_units.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_utils.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_variable.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  copying build/lib/xarray/tests/test_weighted.py -> build/bdist.linux-x86_64/wheel/xarray/tests
  creating build/bdist.linux-x86_64/wheel/xarray/tests/data
  copying build/lib/xarray/tests/data/bears.nc -> build/bdist.linux-x86_64/wheel/xarray/tests/data
  copying build/lib/xarray/tests/data/example.grib -> build/bdist.linux-x86_64/wheel/xarray/tests/data
  copying build/lib/xarray/tests/data/example.ict -> build/bdist.linux-x86_64/wheel/xarray/tests/data
  copying build/lib/xarray/tests/data/example.uamiv -> build/bdist.linux-x86_64/wheel/xarray/tests/data
  copying build/lib/xarray/tests/data/example_1.nc -> build/bdist.linux-x86_64/wheel/xarray/tests/data
  copying build/lib/xarray/tests/data/example_1.nc.gz -> build/bdist.linux-x86_64/wheel/xarray/tests/data
  creating build/bdist.linux-x86_64/wheel/xarray/util
  copying build/lib/xarray/util/__init__.py -> build/bdist.linux-x86_64/wheel/xarray/util
  copying build/lib/xarray/util/deprecation_helpers.py -> build/bdist.linux-x86_64/wheel/xarray/util
  copying build/lib/xarray/util/generate_aggregations.py -> build/bdist.linux-x86_64/wheel/xarray/util
  copying build/lib/xarray/util/generate_ops.py -> build/bdist.linux-x86_64/wheel/xarray/util
  copying build/lib/xarray/util/print_versions.py -> build/bdist.linux-x86_64/wheel/xarray/util
  running install_egg_info
  Copying xarray.egg-info to build/bdist.linux-x86_64/wheel/xarray-2023.9.0-py3.12.egg-info
  running install_scripts
  creating build/bdist.linux-x86_64/wheel/xarray-2023.9.0.dist-info/WHEEL
  creating '/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir/pip-wheel-8anoroma/.tmp-_qzhtpk2/xarray-2023.9.0-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
  adding 'xarray/__init__.py'
  adding 'xarray/conventions.py'
  adding 'xarray/convert.py'
  adding 'xarray/py.typed'
  adding 'xarray/testing.py'
  adding 'xarray/tutorial.py'
  adding 'xarray/backends/__init__.py'
  adding 'xarray/backends/api.py'
  adding 'xarray/backends/common.py'
  adding 'xarray/backends/file_manager.py'
  adding 'xarray/backends/h5netcdf_.py'
  adding 'xarray/backends/locks.py'
  adding 'xarray/backends/lru_cache.py'
  adding 'xarray/backends/memory.py'
  adding 'xarray/backends/netCDF4_.py'
  adding 'xarray/backends/netcdf3.py'
  adding 'xarray/backends/plugins.py'
  adding 'xarray/backends/pseudonetcdf_.py'
  adding 'xarray/backends/pydap_.py'
  adding 'xarray/backends/pynio_.py'
  adding 'xarray/backends/scipy_.py'
  adding 'xarray/backends/store.py'
  adding 'xarray/backends/zarr.py'
  adding 'xarray/coding/__init__.py'
  adding 'xarray/coding/calendar_ops.py'
  adding 'xarray/coding/cftime_offsets.py'
  adding 'xarray/coding/cftimeindex.py'
  adding 'xarray/coding/frequencies.py'
  adding 'xarray/coding/strings.py'
  adding 'xarray/coding/times.py'
  adding 'xarray/coding/variables.py'
  adding 'xarray/core/__init__.py'
  adding 'xarray/core/_aggregations.py'
  adding 'xarray/core/_typed_ops.py'
  adding 'xarray/core/accessor_dt.py'
  adding 'xarray/core/accessor_str.py'
  adding 'xarray/core/alignment.py'
  adding 'xarray/core/arithmetic.py'
  adding 'xarray/core/combine.py'
  adding 'xarray/core/common.py'
  adding 'xarray/core/computation.py'
  adding 'xarray/core/concat.py'
  adding 'xarray/core/coordinates.py'
  adding 'xarray/core/dask_array_ops.py'
  adding 'xarray/core/daskmanager.py'
  adding 'xarray/core/dataarray.py'
  adding 'xarray/core/dataset.py'
  adding 'xarray/core/dtypes.py'
  adding 'xarray/core/duck_array_ops.py'
  adding 'xarray/core/extensions.py'
  adding 'xarray/core/formatting.py'
  adding 'xarray/core/formatting_html.py'
  adding 'xarray/core/groupby.py'
  adding 'xarray/core/indexes.py'
  adding 'xarray/core/indexing.py'
  adding 'xarray/core/merge.py'
  adding 'xarray/core/missing.py'
  adding 'xarray/core/nanops.py'
  adding 'xarray/core/npcompat.py'
  adding 'xarray/core/nputils.py'
  adding 'xarray/core/ops.py'
  adding 'xarray/core/options.py'
  adding 'xarray/core/parallel.py'
  adding 'xarray/core/parallelcompat.py'
  adding 'xarray/core/pdcompat.py'
  adding 'xarray/core/pycompat.py'
  adding 'xarray/core/resample.py'
  adding 'xarray/core/resample_cftime.py'
  adding 'xarray/core/rolling.py'
  adding 'xarray/core/rolling_exp.py'
  adding 'xarray/core/types.py'
  adding 'xarray/core/utils.py'
  adding 'xarray/core/variable.py'
  adding 'xarray/core/weighted.py'
  adding 'xarray/indexes/__init__.py'
  adding 'xarray/plot/__init__.py'
  adding 'xarray/plot/accessor.py'
  adding 'xarray/plot/dataarray_plot.py'
  adding 'xarray/plot/dataset_plot.py'
  adding 'xarray/plot/facetgrid.py'
  adding 'xarray/plot/utils.py'
  adding 'xarray/static/__init__.py'
  adding 'xarray/static/css/__init__.py'
  adding 'xarray/static/css/style.css'
  adding 'xarray/static/html/__init__.py'
  adding 'xarray/static/html/icons-svg-inline.html'
  adding 'xarray/tests/__init__.py'
  adding 'xarray/tests/conftest.py'
  adding 'xarray/tests/test_accessor_dt.py'
  adding 'xarray/tests/test_accessor_str.py'
  adding 'xarray/tests/test_array_api.py'
  adding 'xarray/tests/test_backends.py'
  adding 'xarray/tests/test_backends_api.py'
  adding 'xarray/tests/test_backends_common.py'
  adding 'xarray/tests/test_backends_file_manager.py'
  adding 'xarray/tests/test_backends_locks.py'
  adding 'xarray/tests/test_backends_lru_cache.py'
  adding 'xarray/tests/test_calendar_ops.py'
  adding 'xarray/tests/test_cftime_offsets.py'
  adding 'xarray/tests/test_cftimeindex.py'
  adding 'xarray/tests/test_cftimeindex_resample.py'
  adding 'xarray/tests/test_coarsen.py'
  adding 'xarray/tests/test_coding.py'
  adding 'xarray/tests/test_coding_strings.py'
  adding 'xarray/tests/test_coding_times.py'
  adding 'xarray/tests/test_combine.py'
  adding 'xarray/tests/test_computation.py'
  adding 'xarray/tests/test_concat.py'
  adding 'xarray/tests/test_conventions.py'
  adding 'xarray/tests/test_coordinates.py'
  adding 'xarray/tests/test_cupy.py'
  adding 'xarray/tests/test_dask.py'
  adding 'xarray/tests/test_dataarray.py'
  adding 'xarray/tests/test_dataset.py'
  adding 'xarray/tests/test_deprecation_helpers.py'
  adding 'xarray/tests/test_distributed.py'
  adding 'xarray/tests/test_dtypes.py'
  adding 'xarray/tests/test_duck_array_ops.py'
  adding 'xarray/tests/test_extensions.py'
  adding 'xarray/tests/test_formatting.py'
  adding 'xarray/tests/test_formatting_html.py'
  adding 'xarray/tests/test_groupby.py'
  adding 'xarray/tests/test_indexes.py'
  adding 'xarray/tests/test_indexing.py'
  adding 'xarray/tests/test_interp.py'
  adding 'xarray/tests/test_merge.py'
  adding 'xarray/tests/test_missing.py'
  adding 'xarray/tests/test_nputils.py'
  adding 'xarray/tests/test_options.py'
  adding 'xarray/tests/test_parallelcompat.py'
  adding 'xarray/tests/test_plot.py'
  adding 'xarray/tests/test_plugins.py'
  adding 'xarray/tests/test_print_versions.py'
  adding 'xarray/tests/test_rolling.py'
  adding 'xarray/tests/test_sparse.py'
  adding 'xarray/tests/test_testing.py'
  adding 'xarray/tests/test_tutorial.py'
  adding 'xarray/tests/test_typed_ops.py'
  adding 'xarray/tests/test_ufuncs.py'
  adding 'xarray/tests/test_units.py'
  adding 'xarray/tests/test_utils.py'
  adding 'xarray/tests/test_variable.py'
  adding 'xarray/tests/test_weighted.py'
  adding 'xarray/tests/data/bears.nc'
  adding 'xarray/tests/data/example.grib'
  adding 'xarray/tests/data/example.ict'
  adding 'xarray/tests/data/example.uamiv'
  adding 'xarray/tests/data/example_1.nc'
  adding 'xarray/tests/data/example_1.nc.gz'
  adding 'xarray/util/__init__.py'
  adding 'xarray/util/deprecation_helpers.py'
  adding 'xarray/util/generate_aggregations.py'
  adding 'xarray/util/generate_ops.py'
  adding 'xarray/util/print_versions.py'
  adding 'xarray-2023.9.0.dist-info/LICENSE'
  adding 'xarray-2023.9.0.dist-info/METADATA'
  adding 'xarray-2023.9.0.dist-info/WHEEL'
  adding 'xarray-2023.9.0.dist-info/entry_points.txt'
  adding 'xarray-2023.9.0.dist-info/top_level.txt'
  adding 'xarray-2023.9.0.dist-info/RECORD'
  removing build/bdist.linux-x86_64/wheel
  Building wheel for xarray (pyproject.toml): finished with status 'done'
  Created wheel for xarray: filename=xarray-2023.9.0-py3-none-any.whl size=1033154 sha256=1d10f0acfc2ebc7e7df7b576b1a2e989bb9d460c16104bb4804ee09ff3d95104
  Stored in directory: /builddir/.cache/pip/wheels/61/71/4b/29f873122bd622a14f066b97467efcab33705d733e1d3abae8
Successfully built xarray
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.gQD5YB
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64 '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64
++ dirname /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64
+ 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 -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 -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 -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 -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-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 xarray-2023.9.0
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
++ ls /builddir/build/BUILD/xarray-2023.9.0/pyproject-wheeldir/xarray-2023.9.0-py3-none-any.whl
++ xargs basename --multiple
+ specifier=xarray==2023.9.0
+ '[' -z xarray==2023.9.0 ']'
+ TMPDIR=/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64 --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/xarray-2023.9.0/pyproject-wheeldir xarray==2023.9.0
Using pip 23.3.2 from /usr/lib/python3.12/site-packages/pip (python 3.12)
Looking in links: /builddir/build/BUILD/xarray-2023.9.0/pyproject-wheeldir
Processing ./pyproject-wheeldir/xarray-2023.9.0-py3-none-any.whl
Installing collected packages: xarray
Successfully installed xarray-2023.9.0
+ '[' -d /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages ']'
+ site_dirs+=("/usr/lib/python3.12/site-packages")
+ '[' /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib64/python3.12/site-packages '!=' /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages ']'
+ '[' -d /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib64/python3.12/site-packages ']'
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64$site_dir/*.dist-info
+ echo '%ghost /usr/lib/python3.12/site-packages/xarray-2023.9.0.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray-2023.9.0.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64 --record /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray-2023.9.0.dist-info/RECORD --output /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray-2023.9.0.dist-info/RECORD
removed '/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray-2023.9.0.dist-info/RECORD'
+ rm -fv /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray-2023.9.0.dist-info/REQUESTED
removed '/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray-2023.9.0.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.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-xarray-2023.9.0-3.fc40.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-modules --buildroot /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64 --sitelib /usr/lib/python3.12/site-packages --sitearch /usr/lib64/python3.12/site-packages --python-version 3.12 --pyproject-record /builddir/build/BUILD/python-xarray-2023.9.0-3.fc40.x86_64-pyproject-record --prefix /usr xarray
+ /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 2023.9.0-3.fc40 --unique-debug-suffix -2023.9.0-3.fc40.x86_64 --unique-debug-src-base python-xarray-2023.9.0-3.fc40.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/xarray-2023.9.0
find-debuginfo: starting
Extracting debug info from 0 files
Creating .debug symlinks for symlinks to ELF files
find: ‘debug’: No such file or directory
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /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
*** WARNING: ./usr/lib/python3.12/site-packages/xarray/util/print_versions.py is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
Bytecompiling .py files below /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12 using python3.12
+ /usr/lib/rpm/redhat/brp-python-hardlink
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.wWmo6P
+ umask 022
+ cd /builddir/build/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 -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 -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 -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 -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-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 xarray-2023.9.0
+ rm -rf xarray
+ pytest_args=(-n auto -m "not network" -k 'not test_open_mfdataset_manyfiles')
+ 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 -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-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ PATH=/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin
+ PYTHONPATH=/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib64/python3.12/site-packages:/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages
+ PYTHONDONTWRITEBYTECODE=1
+ PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/xarray-2023.9.0/.pyproject-builddir'
+ PYTEST_XDIST_AUTO_NUM_WORKERS=2
+ /usr/bin/pytest -ra -n auto -m 'not network' -k 'not test_open_mfdataset_manyfiles' --pyargs xarray
============================= test session starts ==============================
platform linux -- Python 3.12.8, pytest-7.4.3, pluggy-1.3.0
rootdir: /builddir/build/BUILD/xarray-2023.9.0
configfile: pyproject.toml
plugins: xdist-3.5.0
created: 2/2 workers
2 workers [16873 items]

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=================================== FAILURES ===================================
_________ test_convert_calendar_missing[noleap-proleptic_gregorian-4H] _________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

source = 'noleap', target = 'proleptic_gregorian', freq = '4H'

    @requires_cftime
    @pytest.mark.parametrize(
        "source,target,freq",
        [
            ("standard", "noleap", "D"),
            ("noleap", "proleptic_gregorian", "4H"),
            ("noleap", "all_leap", "M"),
            ("360_day", "noleap", "D"),
            ("noleap", "360_day", "D"),
        ],
    )
    def test_convert_calendar_missing(source, target, freq):
        src = DataArray(
            date_range(
                "2004-01-01",
                "2004-12-31" if source != "360_day" else "2004-12-30",
                freq=freq,
                calendar=source,
            ),
            dims=("time",),
            name="time",
        )
        da_src = DataArray(
            np.linspace(0, 1, src.size), dims=("time",), coords={"time": src}
        )
        out = convert_calendar(da_src, target, missing=np.nan, align_on="date")
>       assert infer_freq(out.time) == freq
E       AssertionError: assert '4h' == '4H'
E         - 4H
E         + 4h

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_calendar_ops.py:135: AssertionError
________________ test_resample[None-5S-None-right-8003D->4001D] ________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

freqs = ('8003D', '4001D'), closed = 'right', label = None, base = None
offset = '5S'

    @pytest.mark.parametrize("freqs", FREQS, ids=lambda x: "{}->{}".format(*x))
    @pytest.mark.parametrize("closed", [None, "left", "right"])
    @pytest.mark.parametrize("label", [None, "left", "right"])
    @pytest.mark.parametrize(
        ("base", "offset"), [(24, None), (31, None), (None, "5S")], ids=lambda x: f"{x}"
    )
    def test_resample(freqs, closed, label, base, offset) -> None:
        initial_freq, resample_freq = freqs
        start = "2000-01-01T12:07:01"
        loffset = "12H"
        origin = "start"
        index_kwargs = dict(start=start, periods=5, freq=initial_freq)
        datetime_index = pd.date_range(**index_kwargs)
        cftime_index = xr.cftime_range(**index_kwargs)
        da_datetimeindex = da(datetime_index)
        da_cftimeindex = da(cftime_index)
    
        with pytest.warns(FutureWarning, match="`loffset` parameter"):
>           compare_against_pandas(
                da_datetimeindex,
                da_cftimeindex,
                resample_freq,
                closed=closed,
                label=label,
                base=base,
                offset=offset,
                origin=origin,
                loffset=loffset,
            )

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:135: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

da_datetimeindex = <xarray.DataArray (time: 5)>
array([100., 101., 102., 103., 104.])
Coordinates:
  * time     (time) datetime64[ns] 2000-01-01T12:07:01 ... 2087-08-24T12:07:01
da_cftimeindex = <xarray.DataArray (time: 5)>
array([100., 101., 102., 103., 104.])
Coordinates:
  * time     (time) object 2000-01-01 12:07:01 ... 2087-08-24 12:07:01
freq = '4001D', closed = 'right', label = None, base = None, offset = '5S'
origin = 'start', loffset = '12H'

    def compare_against_pandas(
        da_datetimeindex,
        da_cftimeindex,
        freq,
        closed=None,
        label=None,
        base=None,
        offset=None,
        origin=None,
        loffset=None,
    ) -> None:
        if isinstance(origin, tuple):
            origin_pandas = pd.Timestamp(datetime.datetime(*origin))
            origin_cftime = cftime.DatetimeGregorian(*origin)
        else:
            origin_pandas = origin
            origin_cftime = origin
    
        try:
            result_datetimeindex = da_datetimeindex.resample(
                time=freq,
                closed=closed,
                label=label,
                base=base,
                loffset=loffset,
                offset=offset,
                origin=origin_pandas,
            ).mean()
        except ValueError:
            with pytest.raises(ValueError):
                da_cftimeindex.resample(
                    time=freq,
                    closed=closed,
                    label=label,
                    base=base,
                    loffset=loffset,
                    origin=origin_cftime,
                    offset=offset,
                ).mean()
        else:
            result_cftimeindex = da_cftimeindex.resample(
                time=freq,
                closed=closed,
                label=label,
                base=base,
                loffset=loffset,
                origin=origin_cftime,
                offset=offset,
            ).mean()
        # TODO (benbovy - flexible indexes): update when CFTimeIndex is a xarray Index subclass
        result_cftimeindex["time"] = (
            result_cftimeindex.xindexes["time"].to_pandas_index().to_datetimeindex()
        )
>       xr.testing.assert_identical(result_cftimeindex, result_datetimeindex)
E       AssertionError: Left and right DataArray objects are not identical
E       
E       Differing values:
E       L
E           array([100.,  nan, 101.,  nan,  nan, 102.,  nan, 103.,  nan, 104.])
E       R
E           array([100.,  nan,  nan, 101.,  nan, 102.,  nan, 103.,  nan, 104.])

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:108: AssertionError
________________ test_resample[None-5S-left-right-8003D->4001D] ________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

freqs = ('8003D', '4001D'), closed = 'right', label = 'left', base = None
offset = '5S'

    @pytest.mark.parametrize("freqs", FREQS, ids=lambda x: "{}->{}".format(*x))
    @pytest.mark.parametrize("closed", [None, "left", "right"])
    @pytest.mark.parametrize("label", [None, "left", "right"])
    @pytest.mark.parametrize(
        ("base", "offset"), [(24, None), (31, None), (None, "5S")], ids=lambda x: f"{x}"
    )
    def test_resample(freqs, closed, label, base, offset) -> None:
        initial_freq, resample_freq = freqs
        start = "2000-01-01T12:07:01"
        loffset = "12H"
        origin = "start"
        index_kwargs = dict(start=start, periods=5, freq=initial_freq)
        datetime_index = pd.date_range(**index_kwargs)
        cftime_index = xr.cftime_range(**index_kwargs)
        da_datetimeindex = da(datetime_index)
        da_cftimeindex = da(cftime_index)
    
        with pytest.warns(FutureWarning, match="`loffset` parameter"):
>           compare_against_pandas(
                da_datetimeindex,
                da_cftimeindex,
                resample_freq,
                closed=closed,
                label=label,
                base=base,
                offset=offset,
                origin=origin,
                loffset=loffset,
            )

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:135: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

da_datetimeindex = <xarray.DataArray (time: 5)>
array([100., 101., 102., 103., 104.])
Coordinates:
  * time     (time) datetime64[ns] 2000-01-01T12:07:01 ... 2087-08-24T12:07:01
da_cftimeindex = <xarray.DataArray (time: 5)>
array([100., 101., 102., 103., 104.])
Coordinates:
  * time     (time) object 2000-01-01 12:07:01 ... 2087-08-24 12:07:01
freq = '4001D', closed = 'right', label = 'left', base = None, offset = '5S'
origin = 'start', loffset = '12H'

    def compare_against_pandas(
        da_datetimeindex,
        da_cftimeindex,
        freq,
        closed=None,
        label=None,
        base=None,
        offset=None,
        origin=None,
        loffset=None,
    ) -> None:
        if isinstance(origin, tuple):
            origin_pandas = pd.Timestamp(datetime.datetime(*origin))
            origin_cftime = cftime.DatetimeGregorian(*origin)
        else:
            origin_pandas = origin
            origin_cftime = origin
    
        try:
            result_datetimeindex = da_datetimeindex.resample(
                time=freq,
                closed=closed,
                label=label,
                base=base,
                loffset=loffset,
                offset=offset,
                origin=origin_pandas,
            ).mean()
        except ValueError:
            with pytest.raises(ValueError):
                da_cftimeindex.resample(
                    time=freq,
                    closed=closed,
                    label=label,
                    base=base,
                    loffset=loffset,
                    origin=origin_cftime,
                    offset=offset,
                ).mean()
        else:
            result_cftimeindex = da_cftimeindex.resample(
                time=freq,
                closed=closed,
                label=label,
                base=base,
                loffset=loffset,
                origin=origin_cftime,
                offset=offset,
            ).mean()
        # TODO (benbovy - flexible indexes): update when CFTimeIndex is a xarray Index subclass
        result_cftimeindex["time"] = (
            result_cftimeindex.xindexes["time"].to_pandas_index().to_datetimeindex()
        )
>       xr.testing.assert_identical(result_cftimeindex, result_datetimeindex)
E       AssertionError: Left and right DataArray objects are not identical
E       
E       Differing values:
E       L
E           array([100.,  nan, 101.,  nan,  nan, 102.,  nan, 103.,  nan, 104.])
E       R
E           array([100.,  nan,  nan, 101.,  nan, 102.,  nan, 103.,  nan, 104.])

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:108: AssertionError
_______________ test_resample[None-5S-right-right-8003D->4001D] ________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

freqs = ('8003D', '4001D'), closed = 'right', label = 'right', base = None
offset = '5S'

    @pytest.mark.parametrize("freqs", FREQS, ids=lambda x: "{}->{}".format(*x))
    @pytest.mark.parametrize("closed", [None, "left", "right"])
    @pytest.mark.parametrize("label", [None, "left", "right"])
    @pytest.mark.parametrize(
        ("base", "offset"), [(24, None), (31, None), (None, "5S")], ids=lambda x: f"{x}"
    )
    def test_resample(freqs, closed, label, base, offset) -> None:
        initial_freq, resample_freq = freqs
        start = "2000-01-01T12:07:01"
        loffset = "12H"
        origin = "start"
        index_kwargs = dict(start=start, periods=5, freq=initial_freq)
        datetime_index = pd.date_range(**index_kwargs)
        cftime_index = xr.cftime_range(**index_kwargs)
        da_datetimeindex = da(datetime_index)
        da_cftimeindex = da(cftime_index)
    
        with pytest.warns(FutureWarning, match="`loffset` parameter"):
>           compare_against_pandas(
                da_datetimeindex,
                da_cftimeindex,
                resample_freq,
                closed=closed,
                label=label,
                base=base,
                offset=offset,
                origin=origin,
                loffset=loffset,
            )

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:135: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

da_datetimeindex = <xarray.DataArray (time: 5)>
array([100., 101., 102., 103., 104.])
Coordinates:
  * time     (time) datetime64[ns] 2000-01-01T12:07:01 ... 2087-08-24T12:07:01
da_cftimeindex = <xarray.DataArray (time: 5)>
array([100., 101., 102., 103., 104.])
Coordinates:
  * time     (time) object 2000-01-01 12:07:01 ... 2087-08-24 12:07:01
freq = '4001D', closed = 'right', label = 'right', base = None, offset = '5S'
origin = 'start', loffset = '12H'

    def compare_against_pandas(
        da_datetimeindex,
        da_cftimeindex,
        freq,
        closed=None,
        label=None,
        base=None,
        offset=None,
        origin=None,
        loffset=None,
    ) -> None:
        if isinstance(origin, tuple):
            origin_pandas = pd.Timestamp(datetime.datetime(*origin))
            origin_cftime = cftime.DatetimeGregorian(*origin)
        else:
            origin_pandas = origin
            origin_cftime = origin
    
        try:
            result_datetimeindex = da_datetimeindex.resample(
                time=freq,
                closed=closed,
                label=label,
                base=base,
                loffset=loffset,
                offset=offset,
                origin=origin_pandas,
            ).mean()
        except ValueError:
            with pytest.raises(ValueError):
                da_cftimeindex.resample(
                    time=freq,
                    closed=closed,
                    label=label,
                    base=base,
                    loffset=loffset,
                    origin=origin_cftime,
                    offset=offset,
                ).mean()
        else:
            result_cftimeindex = da_cftimeindex.resample(
                time=freq,
                closed=closed,
                label=label,
                base=base,
                loffset=loffset,
                origin=origin_cftime,
                offset=offset,
            ).mean()
        # TODO (benbovy - flexible indexes): update when CFTimeIndex is a xarray Index subclass
        result_cftimeindex["time"] = (
            result_cftimeindex.xindexes["time"].to_pandas_index().to_datetimeindex()
        )
>       xr.testing.assert_identical(result_cftimeindex, result_datetimeindex)
E       AssertionError: Left and right DataArray objects are not identical
E       
E       Differing values:
E       L
E           array([100.,  nan, 101.,  nan,  nan, 102.,  nan, 103.,  nan, 104.])
E       R
E           array([100.,  nan,  nan, 101.,  nan, 102.,  nan, 103.,  nan, 104.])

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:108: AssertionError
__ test_date_range_like[2020-02-01-4M-standard-noleap-None-2020-02-28-False] ___
[gw0] linux -- Python 3.12.8 /usr/bin/python3

freq = '4ME'

    def to_offset(freq):
        """Convert a frequency string to the appropriate subclass of
        BaseCFTimeOffset."""
        if isinstance(freq, BaseCFTimeOffset):
            return freq
        else:
            try:
>               freq_data = re.match(_PATTERN, freq).groupdict()
E               AttributeError: 'NoneType' object has no attribute 'groupdict'

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:744: AttributeError

During handling of the above exception, another exception occurred:

start = '2020-02-01', freq = '4M', cal_src = 'standard', cal_tgt = 'noleap'
use_cftime = None, exp0 = '2020-02-28', exp_pd = False

    @requires_cftime
    @pytest.mark.parametrize(
        "start,freq,cal_src,cal_tgt,use_cftime,exp0,exp_pd",
        [
            ("2020-02-01", "4M", "standard", "noleap", None, "2020-02-28", False),
            ("2020-02-01", "M", "noleap", "gregorian", True, "2020-02-29", True),
            ("2020-02-28", "3H", "all_leap", "gregorian", False, "2020-02-28", True),
            ("2020-03-30", "M", "360_day", "gregorian", False, "2020-03-31", True),
            ("2020-03-31", "M", "gregorian", "360_day", None, "2020-03-30", False),
        ],
    )
    def test_date_range_like(start, freq, cal_src, cal_tgt, use_cftime, exp0, exp_pd):
        source = date_range(start, periods=12, freq=freq, calendar=cal_src)
    
>       out = date_range_like(source, cal_tgt, use_cftime=use_cftime)

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:1313: in date_range_like
    to_offset(freq), (YearEnd, QuarterEnd, MonthEnd, Day)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

freq = '4ME'

    def to_offset(freq):
        """Convert a frequency string to the appropriate subclass of
        BaseCFTimeOffset."""
        if isinstance(freq, BaseCFTimeOffset):
            return freq
        else:
            try:
                freq_data = re.match(_PATTERN, freq).groupdict()
            except AttributeError:
>               raise ValueError("Invalid frequency string provided")
E               ValueError: Invalid frequency string provided

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:746: ValueError
___ test_date_range_like[2020-02-01-M-noleap-gregorian-True-2020-02-29-True] ___
[gw0] linux -- Python 3.12.8 /usr/bin/python3

start = '2020-02-01', freq = 'M', cal_src = 'noleap', cal_tgt = 'gregorian'
use_cftime = True, exp0 = '2020-02-29', exp_pd = True

    @requires_cftime
    @pytest.mark.parametrize(
        "start,freq,cal_src,cal_tgt,use_cftime,exp0,exp_pd",
        [
            ("2020-02-01", "4M", "standard", "noleap", None, "2020-02-28", False),
            ("2020-02-01", "M", "noleap", "gregorian", True, "2020-02-29", True),
            ("2020-02-28", "3H", "all_leap", "gregorian", False, "2020-02-28", True),
            ("2020-03-30", "M", "360_day", "gregorian", False, "2020-03-31", True),
            ("2020-03-31", "M", "gregorian", "360_day", None, "2020-03-30", False),
        ],
    )
    def test_date_range_like(start, freq, cal_src, cal_tgt, use_cftime, exp0, exp_pd):
        source = date_range(start, periods=12, freq=freq, calendar=cal_src)
    
        out = date_range_like(source, cal_tgt, use_cftime=use_cftime)
    
        assert len(out) == 12
>       assert infer_freq(out) == freq
E       AssertionError: assert 'ME' == 'M'
E         - M
E         + ME

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1379: AssertionError
_ test_date_range_like[2020-02-28-3H-all_leap-gregorian-False-2020-02-28-True] _
[gw0] linux -- Python 3.12.8 /usr/bin/python3

start = '2020-02-28', freq = '3H', cal_src = 'all_leap', cal_tgt = 'gregorian'
use_cftime = False, exp0 = '2020-02-28', exp_pd = True

    @requires_cftime
    @pytest.mark.parametrize(
        "start,freq,cal_src,cal_tgt,use_cftime,exp0,exp_pd",
        [
            ("2020-02-01", "4M", "standard", "noleap", None, "2020-02-28", False),
            ("2020-02-01", "M", "noleap", "gregorian", True, "2020-02-29", True),
            ("2020-02-28", "3H", "all_leap", "gregorian", False, "2020-02-28", True),
            ("2020-03-30", "M", "360_day", "gregorian", False, "2020-03-31", True),
            ("2020-03-31", "M", "gregorian", "360_day", None, "2020-03-30", False),
        ],
    )
    def test_date_range_like(start, freq, cal_src, cal_tgt, use_cftime, exp0, exp_pd):
        source = date_range(start, periods=12, freq=freq, calendar=cal_src)
    
        out = date_range_like(source, cal_tgt, use_cftime=use_cftime)
    
        assert len(out) == 12
>       assert infer_freq(out) == freq
E       AssertionError: assert '3h' == '3H'
E         - 3H
E         + 3h

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1379: AssertionError
__ test_date_range_like[2020-03-30-M-360_day-gregorian-False-2020-03-31-True] __
[gw0] linux -- Python 3.12.8 /usr/bin/python3

start = '2020-03-30', freq = 'M', cal_src = '360_day', cal_tgt = 'gregorian'
use_cftime = False, exp0 = '2020-03-31', exp_pd = True

    @requires_cftime
    @pytest.mark.parametrize(
        "start,freq,cal_src,cal_tgt,use_cftime,exp0,exp_pd",
        [
            ("2020-02-01", "4M", "standard", "noleap", None, "2020-02-28", False),
            ("2020-02-01", "M", "noleap", "gregorian", True, "2020-02-29", True),
            ("2020-02-28", "3H", "all_leap", "gregorian", False, "2020-02-28", True),
            ("2020-03-30", "M", "360_day", "gregorian", False, "2020-03-31", True),
            ("2020-03-31", "M", "gregorian", "360_day", None, "2020-03-30", False),
        ],
    )
    def test_date_range_like(start, freq, cal_src, cal_tgt, use_cftime, exp0, exp_pd):
        source = date_range(start, periods=12, freq=freq, calendar=cal_src)
    
        out = date_range_like(source, cal_tgt, use_cftime=use_cftime)
    
        assert len(out) == 12
>       assert infer_freq(out) == freq
E       AssertionError: assert 'ME' == 'M'
E         - M
E         + ME

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1379: AssertionError
__ test_date_range_like[2020-03-31-M-gregorian-360_day-None-2020-03-30-False] __
[gw0] linux -- Python 3.12.8 /usr/bin/python3

freq = 'ME'

    def to_offset(freq):
        """Convert a frequency string to the appropriate subclass of
        BaseCFTimeOffset."""
        if isinstance(freq, BaseCFTimeOffset):
            return freq
        else:
            try:
>               freq_data = re.match(_PATTERN, freq).groupdict()
E               AttributeError: 'NoneType' object has no attribute 'groupdict'

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:744: AttributeError

During handling of the above exception, another exception occurred:

start = '2020-03-31', freq = 'M', cal_src = 'gregorian', cal_tgt = '360_day'
use_cftime = None, exp0 = '2020-03-30', exp_pd = False

    @requires_cftime
    @pytest.mark.parametrize(
        "start,freq,cal_src,cal_tgt,use_cftime,exp0,exp_pd",
        [
            ("2020-02-01", "4M", "standard", "noleap", None, "2020-02-28", False),
            ("2020-02-01", "M", "noleap", "gregorian", True, "2020-02-29", True),
            ("2020-02-28", "3H", "all_leap", "gregorian", False, "2020-02-28", True),
            ("2020-03-30", "M", "360_day", "gregorian", False, "2020-03-31", True),
            ("2020-03-31", "M", "gregorian", "360_day", None, "2020-03-30", False),
        ],
    )
    def test_date_range_like(start, freq, cal_src, cal_tgt, use_cftime, exp0, exp_pd):
        source = date_range(start, periods=12, freq=freq, calendar=cal_src)
    
>       out = date_range_like(source, cal_tgt, use_cftime=use_cftime)

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:1313: in date_range_like
    to_offset(freq), (YearEnd, QuarterEnd, MonthEnd, Day)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

freq = 'ME'

    def to_offset(freq):
        """Convert a frequency string to the appropriate subclass of
        BaseCFTimeOffset."""
        if isinstance(freq, BaseCFTimeOffset):
            return freq
        else:
            try:
                freq_data = re.match(_PATTERN, freq).groupdict()
            except AttributeError:
>               raise ValueError("Invalid frequency string provided")
E               ValueError: Invalid frequency string provided

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:746: ValueError
_________________ test_cross[a5-b5-ae5-be5-cartesian--1-True] __________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

a = <xarray.DataArray (cartesian: 1)>
dask.array<xarray-<this-array>, shape=(1,), dtype=int64, chunksize=(1,), chunktype=numpy.ndarray>
Coordinates:
  * cartesian  (cartesian) <U1 'z'
b = <xarray.DataArray (cartesian: 3)>
dask.array<xarray-<this-array>, shape=(3,), dtype=int64, chunksize=(3,), chunktype=numpy.ndarray>
Coordinates:
  * cartesian  (cartesian) <U1 'x' 'y' 'z'
ae = [0, 0, 1], be = [4, 5, 6], dim = 'cartesian', axis = -1, use_dask = True

    @pytest.mark.parametrize("use_dask", [False, True])
    @pytest.mark.parametrize(
        "a, b, ae, be, dim, axis",
        [
            [
                xr.DataArray([1, 2, 3]),
                xr.DataArray([4, 5, 6]),
                [1, 2, 3],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [
                xr.DataArray([1, 2]),
                xr.DataArray([4, 5, 6]),
                [1, 2],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [
                xr.Variable(dims=["dim_0"], data=[1, 2, 3]),
                xr.Variable(dims=["dim_0"], data=[4, 5, 6]),
                [1, 2, 3],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [
                xr.Variable(dims=["dim_0"], data=[1, 2]),
                xr.Variable(dims=["dim_0"], data=[4, 5, 6]),
                [1, 2],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [  # Test dim in the middle:
                xr.DataArray(
                    np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)),
                    dims=["time", "cartesian", "var"],
                    coords=dict(
                        time=(["time"], np.arange(0, 5)),
                        cartesian=(["cartesian"], ["x", "y", "z"]),
                        var=(["var"], [1, 1.5, 2, 2.5]),
                    ),
                ),
                xr.DataArray(
                    np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)) + 1,
                    dims=["time", "cartesian", "var"],
                    coords=dict(
                        time=(["time"], np.arange(0, 5)),
                        cartesian=(["cartesian"], ["x", "y", "z"]),
                        var=(["var"], [1, 1.5, 2, 2.5]),
                    ),
                ),
                np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)),
                np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)) + 1,
                "cartesian",
                1,
            ],
            [  # Test 1 sized arrays with coords:
                xr.DataArray(
                    np.array([1]),
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["z"])),
                ),
                xr.DataArray(
                    np.array([4, 5, 6]),
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["x", "y", "z"])),
                ),
                [0, 0, 1],
                [4, 5, 6],
                "cartesian",
                -1,
            ],
            [  # Test filling in between with coords:
                xr.DataArray(
                    [1, 2],
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["x", "z"])),
                ),
                xr.DataArray(
                    [4, 5, 6],
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["x", "y", "z"])),
                ),
                [1, 0, 2],
                [4, 5, 6],
                "cartesian",
                -1,
            ],
        ],
    )
    def test_cross(a, b, ae, be, dim: str, axis: int, use_dask: bool) -> None:
        expected = np.cross(ae, be, axis=axis)
    
        if use_dask:
            if not has_dask:
                pytest.skip("test for dask.")
            a = a.chunk()
            b = b.chunk()
    
>       actual = xr.cross(a, b, dim=dim)

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_computation.py:2502: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:1661: in cross
    c = apply_ufunc(
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:1249: in apply_ufunc
    return apply_dataarray_vfunc(
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:308: in apply_dataarray_vfunc
    result_var = func(*data_vars)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function cross at 0x7f1834128d30>
signature = _UFuncSignature([('cartesian',), ('cartesian',)], [('cartesian',)])
exclude_dims = frozenset(), dask = 'parallelized'
output_dtypes = [dtype('int64')]

    def apply_variable_ufunc(
        func,
        *args,
        signature: _UFuncSignature,
        exclude_dims=frozenset(),
        dask="forbidden",
        output_dtypes=None,
        vectorize=False,
        keep_attrs="override",
        dask_gufunc_kwargs=None,
    ) -> Variable | tuple[Variable, ...]:
        """Apply a ndarray level function over Variable and/or ndarray objects."""
        from xarray.core.formatting import short_array_repr
        from xarray.core.variable import Variable, as_compatible_data
    
        dim_sizes = unified_dim_sizes(
            (a for a in args if hasattr(a, "dims")), exclude_dims=exclude_dims
        )
        broadcast_dims = tuple(
            dim for dim in dim_sizes if dim not in signature.all_core_dims
        )
        output_dims = [broadcast_dims + out for out in signature.output_core_dims]
    
        input_data = [
            broadcast_compat_data(arg, broadcast_dims, core_dims)
            if isinstance(arg, Variable)
            else arg
            for arg, core_dims in zip(args, signature.input_core_dims)
        ]
    
        if any(is_chunked_array(array) for array in input_data):
            if dask == "forbidden":
                raise ValueError(
                    "apply_ufunc encountered a chunked array on an "
                    "argument, but handling for chunked arrays has not "
                    "been enabled. Either set the ``dask`` argument "
                    "or load your data into memory first with "
                    "``.load()`` or ``.compute()``"
                )
            elif dask == "parallelized":
                chunkmanager = get_chunked_array_type(*input_data)
    
                numpy_func = func
    
                if dask_gufunc_kwargs is None:
                    dask_gufunc_kwargs = {}
                else:
                    dask_gufunc_kwargs = dask_gufunc_kwargs.copy()
    
                allow_rechunk = dask_gufunc_kwargs.get("allow_rechunk", None)
                if allow_rechunk is None:
                    for n, (data, core_dims) in enumerate(
                        zip(input_data, signature.input_core_dims)
                    ):
                        if is_chunked_array(data):
                            # core dimensions cannot span multiple chunks
                            for axis, dim in enumerate(core_dims, start=-len(core_dims)):
                                if len(data.chunks[axis]) != 1:
>                                   raise ValueError(
                                        f"dimension {dim} on {n}th function argument to "
                                        "apply_ufunc with dask='parallelized' consists of "
                                        "multiple chunks, but is also a core dimension. To "
                                        "fix, either rechunk into a single array chunk along "
                                        f"this dimension, i.e., ``.chunk(dict({dim}=-1))``, or "
                                        "pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` "
                                        "but beware that this may significantly increase memory usage."
                                    )
E                                   ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:754: ValueError
_________________ test_cross[a6-b6-ae6-be6-cartesian--1-True] __________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

a = <xarray.DataArray (cartesian: 2)>
dask.array<xarray-<this-array>, shape=(2,), dtype=int64, chunksize=(2,), chunktype=numpy.ndarray>
Coordinates:
  * cartesian  (cartesian) <U1 'x' 'z'
b = <xarray.DataArray (cartesian: 3)>
dask.array<xarray-<this-array>, shape=(3,), dtype=int64, chunksize=(3,), chunktype=numpy.ndarray>
Coordinates:
  * cartesian  (cartesian) <U1 'x' 'y' 'z'
ae = [1, 0, 2], be = [4, 5, 6], dim = 'cartesian', axis = -1, use_dask = True

    @pytest.mark.parametrize("use_dask", [False, True])
    @pytest.mark.parametrize(
        "a, b, ae, be, dim, axis",
        [
            [
                xr.DataArray([1, 2, 3]),
                xr.DataArray([4, 5, 6]),
                [1, 2, 3],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [
                xr.DataArray([1, 2]),
                xr.DataArray([4, 5, 6]),
                [1, 2],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [
                xr.Variable(dims=["dim_0"], data=[1, 2, 3]),
                xr.Variable(dims=["dim_0"], data=[4, 5, 6]),
                [1, 2, 3],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [
                xr.Variable(dims=["dim_0"], data=[1, 2]),
                xr.Variable(dims=["dim_0"], data=[4, 5, 6]),
                [1, 2],
                [4, 5, 6],
                "dim_0",
                -1,
            ],
            [  # Test dim in the middle:
                xr.DataArray(
                    np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)),
                    dims=["time", "cartesian", "var"],
                    coords=dict(
                        time=(["time"], np.arange(0, 5)),
                        cartesian=(["cartesian"], ["x", "y", "z"]),
                        var=(["var"], [1, 1.5, 2, 2.5]),
                    ),
                ),
                xr.DataArray(
                    np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)) + 1,
                    dims=["time", "cartesian", "var"],
                    coords=dict(
                        time=(["time"], np.arange(0, 5)),
                        cartesian=(["cartesian"], ["x", "y", "z"]),
                        var=(["var"], [1, 1.5, 2, 2.5]),
                    ),
                ),
                np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)),
                np.arange(0, 5 * 3 * 4).reshape((5, 3, 4)) + 1,
                "cartesian",
                1,
            ],
            [  # Test 1 sized arrays with coords:
                xr.DataArray(
                    np.array([1]),
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["z"])),
                ),
                xr.DataArray(
                    np.array([4, 5, 6]),
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["x", "y", "z"])),
                ),
                [0, 0, 1],
                [4, 5, 6],
                "cartesian",
                -1,
            ],
            [  # Test filling in between with coords:
                xr.DataArray(
                    [1, 2],
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["x", "z"])),
                ),
                xr.DataArray(
                    [4, 5, 6],
                    dims=["cartesian"],
                    coords=dict(cartesian=(["cartesian"], ["x", "y", "z"])),
                ),
                [1, 0, 2],
                [4, 5, 6],
                "cartesian",
                -1,
            ],
        ],
    )
    def test_cross(a, b, ae, be, dim: str, axis: int, use_dask: bool) -> None:
        expected = np.cross(ae, be, axis=axis)
    
        if use_dask:
            if not has_dask:
                pytest.skip("test for dask.")
            a = a.chunk()
            b = b.chunk()
    
>       actual = xr.cross(a, b, dim=dim)

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_computation.py:2502: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:1661: in cross
    c = apply_ufunc(
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:1249: in apply_ufunc
    return apply_dataarray_vfunc(
/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:308: in apply_dataarray_vfunc
    result_var = func(*data_vars)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function cross at 0x7f1834128d30>
signature = _UFuncSignature([('cartesian',), ('cartesian',)], [('cartesian',)])
exclude_dims = frozenset(), dask = 'parallelized'
output_dtypes = [dtype('int64')]

    def apply_variable_ufunc(
        func,
        *args,
        signature: _UFuncSignature,
        exclude_dims=frozenset(),
        dask="forbidden",
        output_dtypes=None,
        vectorize=False,
        keep_attrs="override",
        dask_gufunc_kwargs=None,
    ) -> Variable | tuple[Variable, ...]:
        """Apply a ndarray level function over Variable and/or ndarray objects."""
        from xarray.core.formatting import short_array_repr
        from xarray.core.variable import Variable, as_compatible_data
    
        dim_sizes = unified_dim_sizes(
            (a for a in args if hasattr(a, "dims")), exclude_dims=exclude_dims
        )
        broadcast_dims = tuple(
            dim for dim in dim_sizes if dim not in signature.all_core_dims
        )
        output_dims = [broadcast_dims + out for out in signature.output_core_dims]
    
        input_data = [
            broadcast_compat_data(arg, broadcast_dims, core_dims)
            if isinstance(arg, Variable)
            else arg
            for arg, core_dims in zip(args, signature.input_core_dims)
        ]
    
        if any(is_chunked_array(array) for array in input_data):
            if dask == "forbidden":
                raise ValueError(
                    "apply_ufunc encountered a chunked array on an "
                    "argument, but handling for chunked arrays has not "
                    "been enabled. Either set the ``dask`` argument "
                    "or load your data into memory first with "
                    "``.load()`` or ``.compute()``"
                )
            elif dask == "parallelized":
                chunkmanager = get_chunked_array_type(*input_data)
    
                numpy_func = func
    
                if dask_gufunc_kwargs is None:
                    dask_gufunc_kwargs = {}
                else:
                    dask_gufunc_kwargs = dask_gufunc_kwargs.copy()
    
                allow_rechunk = dask_gufunc_kwargs.get("allow_rechunk", None)
                if allow_rechunk is None:
                    for n, (data, core_dims) in enumerate(
                        zip(input_data, signature.input_core_dims)
                    ):
                        if is_chunked_array(data):
                            # core dimensions cannot span multiple chunks
                            for axis, dim in enumerate(core_dims, start=-len(core_dims)):
                                if len(data.chunks[axis]) != 1:
>                                   raise ValueError(
                                        f"dimension {dim} on {n}th function argument to "
                                        "apply_ufunc with dask='parallelized' consists of "
                                        "multiple chunks, but is also a core dimension. To "
                                        "fix, either rechunk into a single array chunk along "
                                        f"this dimension, i.e., ``.chunk(dict({dim}=-1))``, or "
                                        "pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` "
                                        "but beware that this may significantly increase memory usage."
                                    )
E                                   ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/computation.py:754: ValueError
________________ TestToDaskDataFrame.test_to_dask_dataframe_2D _________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

self = <xarray.tests.test_dask.TestToDaskDataFrame object at 0x7f180d9bfd70>

    def test_to_dask_dataframe_2D(self):
        # Test if 2-D dataset is supplied
        w = np.random.randn(2, 3)
        ds = Dataset({"w": (("x", "y"), da.from_array(w, chunks=(1, 2)))})
        ds["x"] = ("x", np.array([0, 1], np.int64))
        ds["y"] = ("y", list("abc"))
    
        # dask dataframes do not (yet) support multiindex,
        # but when it does, this would be the expected index:
        exp_index = pd.MultiIndex.from_arrays(
            [[0, 0, 0, 1, 1, 1], ["a", "b", "c", "a", "b", "c"]], names=["x", "y"]
        )
        expected = pd.DataFrame({"w": w.reshape(-1)}, index=exp_index)
        # so for now, reset the index
        expected = expected.reset_index(drop=False)
        actual = ds.to_dask_dataframe(set_index=False)
    
        assert isinstance(actual, dd.DataFrame)
>       assert_frame_equal(expected, actual.compute())
E       AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="y") are different
E       
E       Attribute "dtype" are different
E       [left]:  object
E       [right]: string[pyarrow]

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:833: AssertionError
___________ TestToDaskDataFrame.test_to_dask_dataframe_not_daskarray ___________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

self = <xarray.tests.test_dask.TestToDaskDataFrame object at 0x7f180d9f56d0>

    def test_to_dask_dataframe_not_daskarray(self):
        # Test if DataArray is not a dask array
        x = np.random.randn(10)
        y = np.arange(10, dtype="uint8")
        t = list("abcdefghij")
    
        ds = Dataset({"a": ("t", x), "b": ("t", y), "t": ("t", t)})
    
        expected = pd.DataFrame({"a": x, "b": y}, index=pd.Index(t, name="t"))
    
        actual = ds.to_dask_dataframe(set_index=True)
        assert isinstance(actual, dd.DataFrame)
>       assert_frame_equal(expected, actual.compute())

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:878: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

left = Index(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'], dtype='object', name='t')
right = Index(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'], dtype='string', name='t')
obj = 'DataFrame.index'

    def _check_types(left, right, obj: str = "Index") -> None:
        if not exact:
            return
    
        assert_class_equal(left, right, exact=exact, obj=obj)
        assert_attr_equal("inferred_type", left, right, obj=obj)
    
        # Skip exact dtype checking when `check_categorical` is False
        if isinstance(left.dtype, CategoricalDtype) and isinstance(
            right.dtype, CategoricalDtype
        ):
            if check_categorical:
                assert_attr_equal("dtype", left, right, obj=obj)
                assert_index_equal(left.categories, right.categories, exact=exact)
            return
    
>       assert_attr_equal("dtype", left, right, obj=obj)
E       AssertionError: DataFrame.index are different
E       
E       Attribute "dtype" are different
E       [left]:  object
E       [right]: string[pyarrow]

/usr/lib64/python3.12/site-packages/pandas/_testing/asserters.py:247: AssertionError
__________________ test_map_blocks_da_ds_with_template[obj0] ___________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

obj = <xarray.DataArray 'a' (x: 10, y: 20)>
dask.array<xarray-<this-array>, shape=(10, 20), dtype=float64, chunksize=(4, 5),...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(4, 5), meta=np.ndarray>
Attributes:
    test:     test

    @pytest.mark.parametrize("obj", [make_da(), make_ds()])
    def test_map_blocks_da_ds_with_template(obj):
        func = lambda x: x.isel(x=[1])
        template = obj.isel(x=[1, 5, 9])
        with raise_if_dask_computes():
>           actual = xr.map_blocks(func, obj, template=template)

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:1362: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function test_map_blocks_da_ds_with_template.<locals>.<lambda> at 0x7f17fabd0cc0>
obj = <xarray.DataArray 'a' (x: 10, y: 20)>
dask.array<xarray-<this-array>, shape=(10, 20), dtype=float64, chunksize=(4, 5),...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(4, 5), meta=np.ndarray>
Attributes:
    test:     test
args = (), kwargs = {}
template = <xarray.DataArray 'a' (x: 3, y: 20)>
dask.array<getitem, shape=(3, 20), dtype=float64, chunksize=(3, 5), chunktype=num...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(3, 5), meta=np.ndarray>
Attributes:
    test:     test

    def map_blocks(
        func: Callable[..., T_Xarray],
        obj: DataArray | Dataset,
        args: Sequence[Any] = (),
        kwargs: Mapping[str, Any] | None = None,
        template: DataArray | Dataset | None = None,
    ) -> T_Xarray:
        """Apply a function to each block of a DataArray or Dataset.
    
        .. warning::
            This function is experimental and its signature may change.
    
        Parameters
        ----------
        func : callable
            User-provided function that accepts a DataArray or Dataset as its first
            parameter ``obj``. The function will receive a subset or 'block' of ``obj`` (see below),
            corresponding to one chunk along each chunked dimension. ``func`` will be
            executed as ``func(subset_obj, *subset_args, **kwargs)``.
    
            This function must return either a single DataArray or a single Dataset.
    
            This function cannot add a new chunked dimension.
        obj : DataArray, Dataset
            Passed to the function as its first argument, one block at a time.
        args : sequence
            Passed to func after unpacking and subsetting any xarray objects by blocks.
            xarray objects in args must be aligned with obj, otherwise an error is raised.
        kwargs : mapping
            Passed verbatim to func after unpacking. xarray objects, if any, will not be
            subset to blocks. Passing dask collections in kwargs is not allowed.
        template : DataArray or Dataset, optional
            xarray object representing the final result after compute is called. If not provided,
            the function will be first run on mocked-up data, that looks like ``obj`` but
            has sizes 0, to determine properties of the returned object such as dtype,
            variable names, attributes, new dimensions and new indexes (if any).
            ``template`` must be provided if the function changes the size of existing dimensions.
            When provided, ``attrs`` on variables in `template` are copied over to the result. Any
            ``attrs`` set by ``func`` will be ignored.
    
        Returns
        -------
        A single DataArray or Dataset with dask backend, reassembled from the outputs of the
        function.
    
        Notes
        -----
        This function is designed for when ``func`` needs to manipulate a whole xarray object
        subset to each block. Each block is loaded into memory. In the more common case where
        ``func`` can work on numpy arrays, it is recommended to use ``apply_ufunc``.
    
        If none of the variables in ``obj`` is backed by dask arrays, calling this function is
        equivalent to calling ``func(obj, *args, **kwargs)``.
    
        See Also
        --------
        dask.array.map_blocks, xarray.apply_ufunc, xarray.Dataset.map_blocks
        xarray.DataArray.map_blocks
    
        Examples
        --------
        Calculate an anomaly from climatology using ``.groupby()``. Using
        ``xr.map_blocks()`` allows for parallel operations with knowledge of ``xarray``,
        its indices, and its methods like ``.groupby()``.
    
        >>> def calculate_anomaly(da, groupby_type="time.month"):
        ...     gb = da.groupby(groupby_type)
        ...     clim = gb.mean(dim="time")
        ...     return gb - clim
        ...
        >>> time = xr.cftime_range("1990-01", "1992-01", freq="M")
        >>> month = xr.DataArray(time.month, coords={"time": time}, dims=["time"])
        >>> np.random.seed(123)
        >>> array = xr.DataArray(
        ...     np.random.rand(len(time)),
        ...     dims=["time"],
        ...     coords={"time": time, "month": month},
        ... ).chunk()
        >>> array.map_blocks(calculate_anomaly, template=array).compute()
        <xarray.DataArray (time: 24)>
        array([ 0.12894847,  0.11323072, -0.0855964 , -0.09334032,  0.26848862,
                0.12382735,  0.22460641,  0.07650108, -0.07673453, -0.22865714,
               -0.19063865,  0.0590131 , -0.12894847, -0.11323072,  0.0855964 ,
                0.09334032, -0.26848862, -0.12382735, -0.22460641, -0.07650108,
                0.07673453,  0.22865714,  0.19063865, -0.0590131 ])
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
    
        Note that one must explicitly use ``args=[]`` and ``kwargs={}`` to pass arguments
        to the function being applied in ``xr.map_blocks()``:
    
        >>> array.map_blocks(
        ...     calculate_anomaly,
        ...     kwargs={"groupby_type": "time.year"},
        ...     template=array,
        ... )  # doctest: +ELLIPSIS
        <xarray.DataArray (time: 24)>
        dask.array<<this-array>-calculate_anomaly, shape=(24,), dtype=float64, chunksize=(24,), chunktype=numpy.ndarray>
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 dask.array<chunksize=(24,), meta=np.ndarray>
        """
    
        def _wrapper(
            func: Callable,
            args: list,
            kwargs: dict,
            arg_is_array: Iterable[bool],
            expected: dict,
        ):
            """
            Wrapper function that receives datasets in args; converts to dataarrays when necessary;
            passes these to the user function `func` and checks returned objects for expected shapes/sizes/etc.
            """
    
            converted_args = [
                dataset_to_dataarray(arg) if is_array else arg
                for is_array, arg in zip(arg_is_array, args)
            ]
    
            result = func(*converted_args, **kwargs)
    
            # check all dims are present
            missing_dimensions = set(expected["shapes"]) - set(result.sizes)
            if missing_dimensions:
                raise ValueError(
                    f"Dimensions {missing_dimensions} missing on returned object."
                )
    
            # check that index lengths and values are as expected
            for name, index in result._indexes.items():
                if name in expected["shapes"]:
                    if result.sizes[name] != expected["shapes"][name]:
                        raise ValueError(
                            f"Received dimension {name!r} of length {result.sizes[name]}. "
                            f"Expected length {expected['shapes'][name]}."
                        )
                if name in expected["indexes"]:
                    expected_index = expected["indexes"][name]
                    if not index.equals(expected_index):
                        raise ValueError(
                            f"Expected index {name!r} to be {expected_index!r}. Received {index!r} instead."
                        )
    
            # check that all expected variables were returned
            check_result_variables(result, expected, "coords")
            if isinstance(result, Dataset):
                check_result_variables(result, expected, "data_vars")
    
            return make_dict(result)
    
        if template is not None and not isinstance(template, (DataArray, Dataset)):
            raise TypeError(
                f"template must be a DataArray or Dataset. Received {type(template).__name__} instead."
            )
        if not isinstance(args, Sequence):
            raise TypeError("args must be a sequence (for example, a list or tuple).")
        if kwargs is None:
            kwargs = {}
        elif not isinstance(kwargs, Mapping):
            raise TypeError("kwargs must be a mapping (for example, a dict)")
    
        for value in kwargs.values():
            if is_dask_collection(value):
                raise TypeError(
                    "Cannot pass dask collections in kwargs yet. Please compute or "
                    "load values before passing to map_blocks."
                )
    
        if not is_dask_collection(obj):
            return func(obj, *args, **kwargs)
    
        try:
            import dask
            import dask.array
            from dask.highlevelgraph import HighLevelGraph
    
        except ImportError:
            pass
    
        all_args = [obj] + list(args)
        is_xarray = [isinstance(arg, (Dataset, DataArray)) for arg in all_args]
        is_array = [isinstance(arg, DataArray) for arg in all_args]
    
        # there should be a better way to group this. partition?
        xarray_indices, xarray_objs = unzip(
            (index, arg) for index, arg in enumerate(all_args) if is_xarray[index]
        )
        others = [
            (index, arg) for index, arg in enumerate(all_args) if not is_xarray[index]
        ]
    
        # all xarray objects must be aligned. This is consistent with apply_ufunc.
        aligned = align(*xarray_objs, join="exact")
        xarray_objs = tuple(
            dataarray_to_dataset(arg) if isinstance(arg, DataArray) else arg
            for arg in aligned
        )
    
        _, npargs = unzip(
            sorted(list(zip(xarray_indices, xarray_objs)) + others, key=lambda x: x[0])
        )
    
        # check that chunk sizes are compatible
        input_chunks = dict(npargs[0].chunks)
        input_indexes = dict(npargs[0]._indexes)
        for arg in xarray_objs[1:]:
            assert_chunks_compatible(npargs[0], arg)
            input_chunks.update(arg.chunks)
            input_indexes.update(arg._indexes)
    
        if template is None:
            # infer template by providing zero-shaped arrays
            template = infer_template(func, aligned[0], *args, **kwargs)
            template_indexes = set(template._indexes)
            preserved_indexes = template_indexes & set(input_indexes)
            new_indexes = template_indexes - set(input_indexes)
            indexes = {dim: input_indexes[dim] for dim in preserved_indexes}
            indexes.update({k: template._indexes[k] for k in new_indexes})
            output_chunks: Mapping[Hashable, tuple[int, ...]] = {
                dim: input_chunks[dim] for dim in template.dims if dim in input_chunks
            }
    
        else:
            # template xarray object has been provided with proper sizes and chunk shapes
            indexes = dict(template._indexes)
            output_chunks = template.chunksizes
            if not output_chunks:
                raise ValueError(
                    "Provided template has no dask arrays. "
                    " Please construct a template with appropriately chunked dask arrays."
                )
    
        for dim in output_chunks:
            if dim in input_chunks and len(input_chunks[dim]) != len(output_chunks[dim]):
>               raise ValueError(
                    "map_blocks requires that one block of the input maps to one block of output. "
                    f"Expected number of output chunks along dimension {dim!r} to be {len(input_chunks[dim])}. "
                    f"Received {len(output_chunks[dim])} instead. Please provide template if not provided, or "
                    "fix the provided template."
                )
E               ValueError: map_blocks requires that one block of the input maps to one block of output. Expected number of output chunks along dimension 'x' to be 3. Received 1 instead. Please provide template if not provided, or fix the provided template.

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/parallel.py:383: ValueError
__________________ test_map_blocks_da_ds_with_template[obj1] ___________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

obj = <xarray.Dataset>
Dimensions:  (x: 10, y: 20, z: 4)
Coordinates:
  * x        (x) int64 0 1 2 3 4 5 6 7 8 9
  * y      ...64 1 1 1 1
    e        (x, y) int64 100 101 102 103 104 105 ... 123 124 125 126 127 128
Attributes:
    test:     test

    @pytest.mark.parametrize("obj", [make_da(), make_ds()])
    def test_map_blocks_da_ds_with_template(obj):
        func = lambda x: x.isel(x=[1])
        template = obj.isel(x=[1, 5, 9])
        with raise_if_dask_computes():
>           actual = xr.map_blocks(func, obj, template=template)

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:1362: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function test_map_blocks_da_ds_with_template.<locals>.<lambda> at 0x7f17fabd13a0>
obj = <xarray.Dataset>
Dimensions:  (x: 10, y: 20, z: 4)
Coordinates:
  * x        (x) int64 0 1 2 3 4 5 6 7 8 9
  * y      ...64 1 1 1 1
    e        (x, y) int64 100 101 102 103 104 105 ... 123 124 125 126 127 128
Attributes:
    test:     test
args = (), kwargs = {}
template = <xarray.Dataset>
Dimensions:  (x: 3, y: 20, z: 4)
Coordinates:
  * x        (x) int64 1 5 9
  * y        (y) int64 100...64 1 1 1 1
    e        (x, y) int64 101 102 103 104 105 106 ... 123 124 125 126 127 128
Attributes:
    test:     test

    def map_blocks(
        func: Callable[..., T_Xarray],
        obj: DataArray | Dataset,
        args: Sequence[Any] = (),
        kwargs: Mapping[str, Any] | None = None,
        template: DataArray | Dataset | None = None,
    ) -> T_Xarray:
        """Apply a function to each block of a DataArray or Dataset.
    
        .. warning::
            This function is experimental and its signature may change.
    
        Parameters
        ----------
        func : callable
            User-provided function that accepts a DataArray or Dataset as its first
            parameter ``obj``. The function will receive a subset or 'block' of ``obj`` (see below),
            corresponding to one chunk along each chunked dimension. ``func`` will be
            executed as ``func(subset_obj, *subset_args, **kwargs)``.
    
            This function must return either a single DataArray or a single Dataset.
    
            This function cannot add a new chunked dimension.
        obj : DataArray, Dataset
            Passed to the function as its first argument, one block at a time.
        args : sequence
            Passed to func after unpacking and subsetting any xarray objects by blocks.
            xarray objects in args must be aligned with obj, otherwise an error is raised.
        kwargs : mapping
            Passed verbatim to func after unpacking. xarray objects, if any, will not be
            subset to blocks. Passing dask collections in kwargs is not allowed.
        template : DataArray or Dataset, optional
            xarray object representing the final result after compute is called. If not provided,
            the function will be first run on mocked-up data, that looks like ``obj`` but
            has sizes 0, to determine properties of the returned object such as dtype,
            variable names, attributes, new dimensions and new indexes (if any).
            ``template`` must be provided if the function changes the size of existing dimensions.
            When provided, ``attrs`` on variables in `template` are copied over to the result. Any
            ``attrs`` set by ``func`` will be ignored.
    
        Returns
        -------
        A single DataArray or Dataset with dask backend, reassembled from the outputs of the
        function.
    
        Notes
        -----
        This function is designed for when ``func`` needs to manipulate a whole xarray object
        subset to each block. Each block is loaded into memory. In the more common case where
        ``func`` can work on numpy arrays, it is recommended to use ``apply_ufunc``.
    
        If none of the variables in ``obj`` is backed by dask arrays, calling this function is
        equivalent to calling ``func(obj, *args, **kwargs)``.
    
        See Also
        --------
        dask.array.map_blocks, xarray.apply_ufunc, xarray.Dataset.map_blocks
        xarray.DataArray.map_blocks
    
        Examples
        --------
        Calculate an anomaly from climatology using ``.groupby()``. Using
        ``xr.map_blocks()`` allows for parallel operations with knowledge of ``xarray``,
        its indices, and its methods like ``.groupby()``.
    
        >>> def calculate_anomaly(da, groupby_type="time.month"):
        ...     gb = da.groupby(groupby_type)
        ...     clim = gb.mean(dim="time")
        ...     return gb - clim
        ...
        >>> time = xr.cftime_range("1990-01", "1992-01", freq="M")
        >>> month = xr.DataArray(time.month, coords={"time": time}, dims=["time"])
        >>> np.random.seed(123)
        >>> array = xr.DataArray(
        ...     np.random.rand(len(time)),
        ...     dims=["time"],
        ...     coords={"time": time, "month": month},
        ... ).chunk()
        >>> array.map_blocks(calculate_anomaly, template=array).compute()
        <xarray.DataArray (time: 24)>
        array([ 0.12894847,  0.11323072, -0.0855964 , -0.09334032,  0.26848862,
                0.12382735,  0.22460641,  0.07650108, -0.07673453, -0.22865714,
               -0.19063865,  0.0590131 , -0.12894847, -0.11323072,  0.0855964 ,
                0.09334032, -0.26848862, -0.12382735, -0.22460641, -0.07650108,
                0.07673453,  0.22865714,  0.19063865, -0.0590131 ])
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
    
        Note that one must explicitly use ``args=[]`` and ``kwargs={}`` to pass arguments
        to the function being applied in ``xr.map_blocks()``:
    
        >>> array.map_blocks(
        ...     calculate_anomaly,
        ...     kwargs={"groupby_type": "time.year"},
        ...     template=array,
        ... )  # doctest: +ELLIPSIS
        <xarray.DataArray (time: 24)>
        dask.array<<this-array>-calculate_anomaly, shape=(24,), dtype=float64, chunksize=(24,), chunktype=numpy.ndarray>
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 dask.array<chunksize=(24,), meta=np.ndarray>
        """
    
        def _wrapper(
            func: Callable,
            args: list,
            kwargs: dict,
            arg_is_array: Iterable[bool],
            expected: dict,
        ):
            """
            Wrapper function that receives datasets in args; converts to dataarrays when necessary;
            passes these to the user function `func` and checks returned objects for expected shapes/sizes/etc.
            """
    
            converted_args = [
                dataset_to_dataarray(arg) if is_array else arg
                for is_array, arg in zip(arg_is_array, args)
            ]
    
            result = func(*converted_args, **kwargs)
    
            # check all dims are present
            missing_dimensions = set(expected["shapes"]) - set(result.sizes)
            if missing_dimensions:
                raise ValueError(
                    f"Dimensions {missing_dimensions} missing on returned object."
                )
    
            # check that index lengths and values are as expected
            for name, index in result._indexes.items():
                if name in expected["shapes"]:
                    if result.sizes[name] != expected["shapes"][name]:
                        raise ValueError(
                            f"Received dimension {name!r} of length {result.sizes[name]}. "
                            f"Expected length {expected['shapes'][name]}."
                        )
                if name in expected["indexes"]:
                    expected_index = expected["indexes"][name]
                    if not index.equals(expected_index):
                        raise ValueError(
                            f"Expected index {name!r} to be {expected_index!r}. Received {index!r} instead."
                        )
    
            # check that all expected variables were returned
            check_result_variables(result, expected, "coords")
            if isinstance(result, Dataset):
                check_result_variables(result, expected, "data_vars")
    
            return make_dict(result)
    
        if template is not None and not isinstance(template, (DataArray, Dataset)):
            raise TypeError(
                f"template must be a DataArray or Dataset. Received {type(template).__name__} instead."
            )
        if not isinstance(args, Sequence):
            raise TypeError("args must be a sequence (for example, a list or tuple).")
        if kwargs is None:
            kwargs = {}
        elif not isinstance(kwargs, Mapping):
            raise TypeError("kwargs must be a mapping (for example, a dict)")
    
        for value in kwargs.values():
            if is_dask_collection(value):
                raise TypeError(
                    "Cannot pass dask collections in kwargs yet. Please compute or "
                    "load values before passing to map_blocks."
                )
    
        if not is_dask_collection(obj):
            return func(obj, *args, **kwargs)
    
        try:
            import dask
            import dask.array
            from dask.highlevelgraph import HighLevelGraph
    
        except ImportError:
            pass
    
        all_args = [obj] + list(args)
        is_xarray = [isinstance(arg, (Dataset, DataArray)) for arg in all_args]
        is_array = [isinstance(arg, DataArray) for arg in all_args]
    
        # there should be a better way to group this. partition?
        xarray_indices, xarray_objs = unzip(
            (index, arg) for index, arg in enumerate(all_args) if is_xarray[index]
        )
        others = [
            (index, arg) for index, arg in enumerate(all_args) if not is_xarray[index]
        ]
    
        # all xarray objects must be aligned. This is consistent with apply_ufunc.
        aligned = align(*xarray_objs, join="exact")
        xarray_objs = tuple(
            dataarray_to_dataset(arg) if isinstance(arg, DataArray) else arg
            for arg in aligned
        )
    
        _, npargs = unzip(
            sorted(list(zip(xarray_indices, xarray_objs)) + others, key=lambda x: x[0])
        )
    
        # check that chunk sizes are compatible
        input_chunks = dict(npargs[0].chunks)
        input_indexes = dict(npargs[0]._indexes)
        for arg in xarray_objs[1:]:
            assert_chunks_compatible(npargs[0], arg)
            input_chunks.update(arg.chunks)
            input_indexes.update(arg._indexes)
    
        if template is None:
            # infer template by providing zero-shaped arrays
            template = infer_template(func, aligned[0], *args, **kwargs)
            template_indexes = set(template._indexes)
            preserved_indexes = template_indexes & set(input_indexes)
            new_indexes = template_indexes - set(input_indexes)
            indexes = {dim: input_indexes[dim] for dim in preserved_indexes}
            indexes.update({k: template._indexes[k] for k in new_indexes})
            output_chunks: Mapping[Hashable, tuple[int, ...]] = {
                dim: input_chunks[dim] for dim in template.dims if dim in input_chunks
            }
    
        else:
            # template xarray object has been provided with proper sizes and chunk shapes
            indexes = dict(template._indexes)
            output_chunks = template.chunksizes
            if not output_chunks:
                raise ValueError(
                    "Provided template has no dask arrays. "
                    " Please construct a template with appropriately chunked dask arrays."
                )
    
        for dim in output_chunks:
            if dim in input_chunks and len(input_chunks[dim]) != len(output_chunks[dim]):
>               raise ValueError(
                    "map_blocks requires that one block of the input maps to one block of output. "
                    f"Expected number of output chunks along dimension {dim!r} to be {len(input_chunks[dim])}. "
                    f"Received {len(output_chunks[dim])} instead. Please provide template if not provided, or "
                    "fix the provided template."
                )
E               ValueError: map_blocks requires that one block of the input maps to one block of output. Expected number of output chunks along dimension 'x' to be 3. Received 1 instead. Please provide template if not provided, or fix the provided template.

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/parallel.py:383: ValueError
___________________ test_map_blocks_template_convert_object ____________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

    def test_map_blocks_template_convert_object():
        da = make_da()
        func = lambda x: x.to_dataset().isel(x=[1])
        template = da.to_dataset().isel(x=[1, 5, 9])
        with raise_if_dask_computes():
>           actual = xr.map_blocks(func, da, template=template)

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:1375: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function test_map_blocks_template_convert_object.<locals>.<lambda> at 0x7f17fabd1f80>
obj = <xarray.DataArray 'a' (x: 10, y: 20)>
dask.array<xarray-<this-array>, shape=(10, 20), dtype=float64, chunksize=(4, 5),...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(4, 5), meta=np.ndarray>
Attributes:
    test:     test
args = (), kwargs = {}
template = <xarray.Dataset>
Dimensions:  (x: 3, y: 20)
Coordinates:
  * x        (x) int64 1 5 9
  * y        (y) int64 100 101 1...size=(3, 5), meta=np.ndarray>
Data variables:
    a        (x, y) float64 dask.array<chunksize=(3, 5), meta=np.ndarray>

    def map_blocks(
        func: Callable[..., T_Xarray],
        obj: DataArray | Dataset,
        args: Sequence[Any] = (),
        kwargs: Mapping[str, Any] | None = None,
        template: DataArray | Dataset | None = None,
    ) -> T_Xarray:
        """Apply a function to each block of a DataArray or Dataset.
    
        .. warning::
            This function is experimental and its signature may change.
    
        Parameters
        ----------
        func : callable
            User-provided function that accepts a DataArray or Dataset as its first
            parameter ``obj``. The function will receive a subset or 'block' of ``obj`` (see below),
            corresponding to one chunk along each chunked dimension. ``func`` will be
            executed as ``func(subset_obj, *subset_args, **kwargs)``.
    
            This function must return either a single DataArray or a single Dataset.
    
            This function cannot add a new chunked dimension.
        obj : DataArray, Dataset
            Passed to the function as its first argument, one block at a time.
        args : sequence
            Passed to func after unpacking and subsetting any xarray objects by blocks.
            xarray objects in args must be aligned with obj, otherwise an error is raised.
        kwargs : mapping
            Passed verbatim to func after unpacking. xarray objects, if any, will not be
            subset to blocks. Passing dask collections in kwargs is not allowed.
        template : DataArray or Dataset, optional
            xarray object representing the final result after compute is called. If not provided,
            the function will be first run on mocked-up data, that looks like ``obj`` but
            has sizes 0, to determine properties of the returned object such as dtype,
            variable names, attributes, new dimensions and new indexes (if any).
            ``template`` must be provided if the function changes the size of existing dimensions.
            When provided, ``attrs`` on variables in `template` are copied over to the result. Any
            ``attrs`` set by ``func`` will be ignored.
    
        Returns
        -------
        A single DataArray or Dataset with dask backend, reassembled from the outputs of the
        function.
    
        Notes
        -----
        This function is designed for when ``func`` needs to manipulate a whole xarray object
        subset to each block. Each block is loaded into memory. In the more common case where
        ``func`` can work on numpy arrays, it is recommended to use ``apply_ufunc``.
    
        If none of the variables in ``obj`` is backed by dask arrays, calling this function is
        equivalent to calling ``func(obj, *args, **kwargs)``.
    
        See Also
        --------
        dask.array.map_blocks, xarray.apply_ufunc, xarray.Dataset.map_blocks
        xarray.DataArray.map_blocks
    
        Examples
        --------
        Calculate an anomaly from climatology using ``.groupby()``. Using
        ``xr.map_blocks()`` allows for parallel operations with knowledge of ``xarray``,
        its indices, and its methods like ``.groupby()``.
    
        >>> def calculate_anomaly(da, groupby_type="time.month"):
        ...     gb = da.groupby(groupby_type)
        ...     clim = gb.mean(dim="time")
        ...     return gb - clim
        ...
        >>> time = xr.cftime_range("1990-01", "1992-01", freq="M")
        >>> month = xr.DataArray(time.month, coords={"time": time}, dims=["time"])
        >>> np.random.seed(123)
        >>> array = xr.DataArray(
        ...     np.random.rand(len(time)),
        ...     dims=["time"],
        ...     coords={"time": time, "month": month},
        ... ).chunk()
        >>> array.map_blocks(calculate_anomaly, template=array).compute()
        <xarray.DataArray (time: 24)>
        array([ 0.12894847,  0.11323072, -0.0855964 , -0.09334032,  0.26848862,
                0.12382735,  0.22460641,  0.07650108, -0.07673453, -0.22865714,
               -0.19063865,  0.0590131 , -0.12894847, -0.11323072,  0.0855964 ,
                0.09334032, -0.26848862, -0.12382735, -0.22460641, -0.07650108,
                0.07673453,  0.22865714,  0.19063865, -0.0590131 ])
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
    
        Note that one must explicitly use ``args=[]`` and ``kwargs={}`` to pass arguments
        to the function being applied in ``xr.map_blocks()``:
    
        >>> array.map_blocks(
        ...     calculate_anomaly,
        ...     kwargs={"groupby_type": "time.year"},
        ...     template=array,
        ... )  # doctest: +ELLIPSIS
        <xarray.DataArray (time: 24)>
        dask.array<<this-array>-calculate_anomaly, shape=(24,), dtype=float64, chunksize=(24,), chunktype=numpy.ndarray>
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 dask.array<chunksize=(24,), meta=np.ndarray>
        """
    
        def _wrapper(
            func: Callable,
            args: list,
            kwargs: dict,
            arg_is_array: Iterable[bool],
            expected: dict,
        ):
            """
            Wrapper function that receives datasets in args; converts to dataarrays when necessary;
            passes these to the user function `func` and checks returned objects for expected shapes/sizes/etc.
            """
    
            converted_args = [
                dataset_to_dataarray(arg) if is_array else arg
                for is_array, arg in zip(arg_is_array, args)
            ]
    
            result = func(*converted_args, **kwargs)
    
            # check all dims are present
            missing_dimensions = set(expected["shapes"]) - set(result.sizes)
            if missing_dimensions:
                raise ValueError(
                    f"Dimensions {missing_dimensions} missing on returned object."
                )
    
            # check that index lengths and values are as expected
            for name, index in result._indexes.items():
                if name in expected["shapes"]:
                    if result.sizes[name] != expected["shapes"][name]:
                        raise ValueError(
                            f"Received dimension {name!r} of length {result.sizes[name]}. "
                            f"Expected length {expected['shapes'][name]}."
                        )
                if name in expected["indexes"]:
                    expected_index = expected["indexes"][name]
                    if not index.equals(expected_index):
                        raise ValueError(
                            f"Expected index {name!r} to be {expected_index!r}. Received {index!r} instead."
                        )
    
            # check that all expected variables were returned
            check_result_variables(result, expected, "coords")
            if isinstance(result, Dataset):
                check_result_variables(result, expected, "data_vars")
    
            return make_dict(result)
    
        if template is not None and not isinstance(template, (DataArray, Dataset)):
            raise TypeError(
                f"template must be a DataArray or Dataset. Received {type(template).__name__} instead."
            )
        if not isinstance(args, Sequence):
            raise TypeError("args must be a sequence (for example, a list or tuple).")
        if kwargs is None:
            kwargs = {}
        elif not isinstance(kwargs, Mapping):
            raise TypeError("kwargs must be a mapping (for example, a dict)")
    
        for value in kwargs.values():
            if is_dask_collection(value):
                raise TypeError(
                    "Cannot pass dask collections in kwargs yet. Please compute or "
                    "load values before passing to map_blocks."
                )
    
        if not is_dask_collection(obj):
            return func(obj, *args, **kwargs)
    
        try:
            import dask
            import dask.array
            from dask.highlevelgraph import HighLevelGraph
    
        except ImportError:
            pass
    
        all_args = [obj] + list(args)
        is_xarray = [isinstance(arg, (Dataset, DataArray)) for arg in all_args]
        is_array = [isinstance(arg, DataArray) for arg in all_args]
    
        # there should be a better way to group this. partition?
        xarray_indices, xarray_objs = unzip(
            (index, arg) for index, arg in enumerate(all_args) if is_xarray[index]
        )
        others = [
            (index, arg) for index, arg in enumerate(all_args) if not is_xarray[index]
        ]
    
        # all xarray objects must be aligned. This is consistent with apply_ufunc.
        aligned = align(*xarray_objs, join="exact")
        xarray_objs = tuple(
            dataarray_to_dataset(arg) if isinstance(arg, DataArray) else arg
            for arg in aligned
        )
    
        _, npargs = unzip(
            sorted(list(zip(xarray_indices, xarray_objs)) + others, key=lambda x: x[0])
        )
    
        # check that chunk sizes are compatible
        input_chunks = dict(npargs[0].chunks)
        input_indexes = dict(npargs[0]._indexes)
        for arg in xarray_objs[1:]:
            assert_chunks_compatible(npargs[0], arg)
            input_chunks.update(arg.chunks)
            input_indexes.update(arg._indexes)
    
        if template is None:
            # infer template by providing zero-shaped arrays
            template = infer_template(func, aligned[0], *args, **kwargs)
            template_indexes = set(template._indexes)
            preserved_indexes = template_indexes & set(input_indexes)
            new_indexes = template_indexes - set(input_indexes)
            indexes = {dim: input_indexes[dim] for dim in preserved_indexes}
            indexes.update({k: template._indexes[k] for k in new_indexes})
            output_chunks: Mapping[Hashable, tuple[int, ...]] = {
                dim: input_chunks[dim] for dim in template.dims if dim in input_chunks
            }
    
        else:
            # template xarray object has been provided with proper sizes and chunk shapes
            indexes = dict(template._indexes)
            output_chunks = template.chunksizes
            if not output_chunks:
                raise ValueError(
                    "Provided template has no dask arrays. "
                    " Please construct a template with appropriately chunked dask arrays."
                )
    
        for dim in output_chunks:
            if dim in input_chunks and len(input_chunks[dim]) != len(output_chunks[dim]):
>               raise ValueError(
                    "map_blocks requires that one block of the input maps to one block of output. "
                    f"Expected number of output chunks along dimension {dim!r} to be {len(input_chunks[dim])}. "
                    f"Received {len(output_chunks[dim])} instead. Please provide template if not provided, or "
                    "fix the provided template."
                )
E               ValueError: map_blocks requires that one block of the input maps to one block of output. Expected number of output chunks along dimension 'x' to be 3. Received 1 instead. Please provide template if not provided, or fix the provided template.

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/parallel.py:383: ValueError
__________________ test_map_blocks_errors_bad_template[obj0] ___________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

obj = <xarray.DataArray 'a' (x: 10, y: 20)>
dask.array<xarray-<this-array>, shape=(10, 20), dtype=float64, chunksize=(4, 5),...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(4, 5), meta=np.ndarray>
Attributes:
    test:     test

    @pytest.mark.parametrize("obj", [make_da(), make_ds()])
    def test_map_blocks_errors_bad_template(obj):
        with pytest.raises(ValueError, match=r"unexpected coordinate variables"):
            xr.map_blocks(lambda x: x.assign_coords(a=10), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"does not contain coordinate variables"):
            xr.map_blocks(lambda x: x.drop_vars("cxy"), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Dimensions {'x'} missing"):
            xr.map_blocks(lambda x: x.isel(x=1), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Received dimension 'x' of length 1"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=obj).compute()
        with pytest.raises(TypeError, match=r"must be a DataArray"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=(obj,)).compute()
        with pytest.raises(ValueError, match=r"map_blocks requires that one block"):
            xr.map_blocks(
                lambda x: x.isel(x=[1]).assign_coords(x=10), obj, template=obj.isel(x=[1])
            ).compute()
        with pytest.raises(ValueError, match=r"Expected index 'x' to be"):
>           xr.map_blocks(
                lambda a: a.isel(x=[1]).assign_coords(x=[120]),  # assign bad index values
                obj,
                template=obj.isel(x=[1, 5, 9]),
            ).compute()

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:1403: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function test_map_blocks_errors_bad_template.<locals>.<lambda> at 0x7f17fabd2840>
obj = <xarray.DataArray 'a' (x: 10, y: 20)>
dask.array<xarray-<this-array>, shape=(10, 20), dtype=float64, chunksize=(4, 5),...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(4, 5), meta=np.ndarray>
Attributes:
    test:     test
args = (), kwargs = {}
template = <xarray.DataArray 'a' (x: 3, y: 20)>
dask.array<getitem, shape=(3, 20), dtype=float64, chunksize=(3, 5), chunktype=num...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(3, 5), meta=np.ndarray>
Attributes:
    test:     test

    def map_blocks(
        func: Callable[..., T_Xarray],
        obj: DataArray | Dataset,
        args: Sequence[Any] = (),
        kwargs: Mapping[str, Any] | None = None,
        template: DataArray | Dataset | None = None,
    ) -> T_Xarray:
        """Apply a function to each block of a DataArray or Dataset.
    
        .. warning::
            This function is experimental and its signature may change.
    
        Parameters
        ----------
        func : callable
            User-provided function that accepts a DataArray or Dataset as its first
            parameter ``obj``. The function will receive a subset or 'block' of ``obj`` (see below),
            corresponding to one chunk along each chunked dimension. ``func`` will be
            executed as ``func(subset_obj, *subset_args, **kwargs)``.
    
            This function must return either a single DataArray or a single Dataset.
    
            This function cannot add a new chunked dimension.
        obj : DataArray, Dataset
            Passed to the function as its first argument, one block at a time.
        args : sequence
            Passed to func after unpacking and subsetting any xarray objects by blocks.
            xarray objects in args must be aligned with obj, otherwise an error is raised.
        kwargs : mapping
            Passed verbatim to func after unpacking. xarray objects, if any, will not be
            subset to blocks. Passing dask collections in kwargs is not allowed.
        template : DataArray or Dataset, optional
            xarray object representing the final result after compute is called. If not provided,
            the function will be first run on mocked-up data, that looks like ``obj`` but
            has sizes 0, to determine properties of the returned object such as dtype,
            variable names, attributes, new dimensions and new indexes (if any).
            ``template`` must be provided if the function changes the size of existing dimensions.
            When provided, ``attrs`` on variables in `template` are copied over to the result. Any
            ``attrs`` set by ``func`` will be ignored.
    
        Returns
        -------
        A single DataArray or Dataset with dask backend, reassembled from the outputs of the
        function.
    
        Notes
        -----
        This function is designed for when ``func`` needs to manipulate a whole xarray object
        subset to each block. Each block is loaded into memory. In the more common case where
        ``func`` can work on numpy arrays, it is recommended to use ``apply_ufunc``.
    
        If none of the variables in ``obj`` is backed by dask arrays, calling this function is
        equivalent to calling ``func(obj, *args, **kwargs)``.
    
        See Also
        --------
        dask.array.map_blocks, xarray.apply_ufunc, xarray.Dataset.map_blocks
        xarray.DataArray.map_blocks
    
        Examples
        --------
        Calculate an anomaly from climatology using ``.groupby()``. Using
        ``xr.map_blocks()`` allows for parallel operations with knowledge of ``xarray``,
        its indices, and its methods like ``.groupby()``.
    
        >>> def calculate_anomaly(da, groupby_type="time.month"):
        ...     gb = da.groupby(groupby_type)
        ...     clim = gb.mean(dim="time")
        ...     return gb - clim
        ...
        >>> time = xr.cftime_range("1990-01", "1992-01", freq="M")
        >>> month = xr.DataArray(time.month, coords={"time": time}, dims=["time"])
        >>> np.random.seed(123)
        >>> array = xr.DataArray(
        ...     np.random.rand(len(time)),
        ...     dims=["time"],
        ...     coords={"time": time, "month": month},
        ... ).chunk()
        >>> array.map_blocks(calculate_anomaly, template=array).compute()
        <xarray.DataArray (time: 24)>
        array([ 0.12894847,  0.11323072, -0.0855964 , -0.09334032,  0.26848862,
                0.12382735,  0.22460641,  0.07650108, -0.07673453, -0.22865714,
               -0.19063865,  0.0590131 , -0.12894847, -0.11323072,  0.0855964 ,
                0.09334032, -0.26848862, -0.12382735, -0.22460641, -0.07650108,
                0.07673453,  0.22865714,  0.19063865, -0.0590131 ])
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
    
        Note that one must explicitly use ``args=[]`` and ``kwargs={}`` to pass arguments
        to the function being applied in ``xr.map_blocks()``:
    
        >>> array.map_blocks(
        ...     calculate_anomaly,
        ...     kwargs={"groupby_type": "time.year"},
        ...     template=array,
        ... )  # doctest: +ELLIPSIS
        <xarray.DataArray (time: 24)>
        dask.array<<this-array>-calculate_anomaly, shape=(24,), dtype=float64, chunksize=(24,), chunktype=numpy.ndarray>
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 dask.array<chunksize=(24,), meta=np.ndarray>
        """
    
        def _wrapper(
            func: Callable,
            args: list,
            kwargs: dict,
            arg_is_array: Iterable[bool],
            expected: dict,
        ):
            """
            Wrapper function that receives datasets in args; converts to dataarrays when necessary;
            passes these to the user function `func` and checks returned objects for expected shapes/sizes/etc.
            """
    
            converted_args = [
                dataset_to_dataarray(arg) if is_array else arg
                for is_array, arg in zip(arg_is_array, args)
            ]
    
            result = func(*converted_args, **kwargs)
    
            # check all dims are present
            missing_dimensions = set(expected["shapes"]) - set(result.sizes)
            if missing_dimensions:
                raise ValueError(
                    f"Dimensions {missing_dimensions} missing on returned object."
                )
    
            # check that index lengths and values are as expected
            for name, index in result._indexes.items():
                if name in expected["shapes"]:
                    if result.sizes[name] != expected["shapes"][name]:
                        raise ValueError(
                            f"Received dimension {name!r} of length {result.sizes[name]}. "
                            f"Expected length {expected['shapes'][name]}."
                        )
                if name in expected["indexes"]:
                    expected_index = expected["indexes"][name]
                    if not index.equals(expected_index):
                        raise ValueError(
                            f"Expected index {name!r} to be {expected_index!r}. Received {index!r} instead."
                        )
    
            # check that all expected variables were returned
            check_result_variables(result, expected, "coords")
            if isinstance(result, Dataset):
                check_result_variables(result, expected, "data_vars")
    
            return make_dict(result)
    
        if template is not None and not isinstance(template, (DataArray, Dataset)):
            raise TypeError(
                f"template must be a DataArray or Dataset. Received {type(template).__name__} instead."
            )
        if not isinstance(args, Sequence):
            raise TypeError("args must be a sequence (for example, a list or tuple).")
        if kwargs is None:
            kwargs = {}
        elif not isinstance(kwargs, Mapping):
            raise TypeError("kwargs must be a mapping (for example, a dict)")
    
        for value in kwargs.values():
            if is_dask_collection(value):
                raise TypeError(
                    "Cannot pass dask collections in kwargs yet. Please compute or "
                    "load values before passing to map_blocks."
                )
    
        if not is_dask_collection(obj):
            return func(obj, *args, **kwargs)
    
        try:
            import dask
            import dask.array
            from dask.highlevelgraph import HighLevelGraph
    
        except ImportError:
            pass
    
        all_args = [obj] + list(args)
        is_xarray = [isinstance(arg, (Dataset, DataArray)) for arg in all_args]
        is_array = [isinstance(arg, DataArray) for arg in all_args]
    
        # there should be a better way to group this. partition?
        xarray_indices, xarray_objs = unzip(
            (index, arg) for index, arg in enumerate(all_args) if is_xarray[index]
        )
        others = [
            (index, arg) for index, arg in enumerate(all_args) if not is_xarray[index]
        ]
    
        # all xarray objects must be aligned. This is consistent with apply_ufunc.
        aligned = align(*xarray_objs, join="exact")
        xarray_objs = tuple(
            dataarray_to_dataset(arg) if isinstance(arg, DataArray) else arg
            for arg in aligned
        )
    
        _, npargs = unzip(
            sorted(list(zip(xarray_indices, xarray_objs)) + others, key=lambda x: x[0])
        )
    
        # check that chunk sizes are compatible
        input_chunks = dict(npargs[0].chunks)
        input_indexes = dict(npargs[0]._indexes)
        for arg in xarray_objs[1:]:
            assert_chunks_compatible(npargs[0], arg)
            input_chunks.update(arg.chunks)
            input_indexes.update(arg._indexes)
    
        if template is None:
            # infer template by providing zero-shaped arrays
            template = infer_template(func, aligned[0], *args, **kwargs)
            template_indexes = set(template._indexes)
            preserved_indexes = template_indexes & set(input_indexes)
            new_indexes = template_indexes - set(input_indexes)
            indexes = {dim: input_indexes[dim] for dim in preserved_indexes}
            indexes.update({k: template._indexes[k] for k in new_indexes})
            output_chunks: Mapping[Hashable, tuple[int, ...]] = {
                dim: input_chunks[dim] for dim in template.dims if dim in input_chunks
            }
    
        else:
            # template xarray object has been provided with proper sizes and chunk shapes
            indexes = dict(template._indexes)
            output_chunks = template.chunksizes
            if not output_chunks:
                raise ValueError(
                    "Provided template has no dask arrays. "
                    " Please construct a template with appropriately chunked dask arrays."
                )
    
        for dim in output_chunks:
            if dim in input_chunks and len(input_chunks[dim]) != len(output_chunks[dim]):
>               raise ValueError(
                    "map_blocks requires that one block of the input maps to one block of output. "
                    f"Expected number of output chunks along dimension {dim!r} to be {len(input_chunks[dim])}. "
                    f"Received {len(output_chunks[dim])} instead. Please provide template if not provided, or "
                    "fix the provided template."
                )
E               ValueError: map_blocks requires that one block of the input maps to one block of output. Expected number of output chunks along dimension 'x' to be 3. Received 1 instead. Please provide template if not provided, or fix the provided template.

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/parallel.py:383: ValueError

During handling of the above exception, another exception occurred:

obj = <xarray.DataArray 'a' (x: 10, y: 20)>
dask.array<xarray-<this-array>, shape=(10, 20), dtype=float64, chunksize=(4, 5),...meta=np.ndarray>
    cxy      (x, y) int64 dask.array<chunksize=(4, 5), meta=np.ndarray>
Attributes:
    test:     test

    @pytest.mark.parametrize("obj", [make_da(), make_ds()])
    def test_map_blocks_errors_bad_template(obj):
        with pytest.raises(ValueError, match=r"unexpected coordinate variables"):
            xr.map_blocks(lambda x: x.assign_coords(a=10), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"does not contain coordinate variables"):
            xr.map_blocks(lambda x: x.drop_vars("cxy"), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Dimensions {'x'} missing"):
            xr.map_blocks(lambda x: x.isel(x=1), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Received dimension 'x' of length 1"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=obj).compute()
        with pytest.raises(TypeError, match=r"must be a DataArray"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=(obj,)).compute()
        with pytest.raises(ValueError, match=r"map_blocks requires that one block"):
            xr.map_blocks(
                lambda x: x.isel(x=[1]).assign_coords(x=10), obj, template=obj.isel(x=[1])
            ).compute()
>       with pytest.raises(ValueError, match=r"Expected index 'x' to be"):
E       AssertionError: Regex pattern did not match.
E        Regex: "Expected index 'x' to be"
E        Input: "map_blocks requires that one block of the input maps to one block of output. Expected number of output chunks along dimension 'x' to be 3. Received 1 instead. Please provide template if not provided, or fix the provided template."

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:1402: AssertionError
__________________ test_map_blocks_errors_bad_template[obj1] ___________________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

obj = <xarray.Dataset>
Dimensions:  (x: 10, y: 20, z: 4)
Coordinates:
  * x        (x) int64 0 1 2 3 4 5 6 7 8 9
  * y      ...64 1 1 1 1
    e        (x, y) int64 100 101 102 103 104 105 ... 123 124 125 126 127 128
Attributes:
    test:     test

    @pytest.mark.parametrize("obj", [make_da(), make_ds()])
    def test_map_blocks_errors_bad_template(obj):
        with pytest.raises(ValueError, match=r"unexpected coordinate variables"):
            xr.map_blocks(lambda x: x.assign_coords(a=10), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"does not contain coordinate variables"):
            xr.map_blocks(lambda x: x.drop_vars("cxy"), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Dimensions {'x'} missing"):
            xr.map_blocks(lambda x: x.isel(x=1), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Received dimension 'x' of length 1"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=obj).compute()
        with pytest.raises(TypeError, match=r"must be a DataArray"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=(obj,)).compute()
        with pytest.raises(ValueError, match=r"map_blocks requires that one block"):
            xr.map_blocks(
                lambda x: x.isel(x=[1]).assign_coords(x=10), obj, template=obj.isel(x=[1])
            ).compute()
        with pytest.raises(ValueError, match=r"Expected index 'x' to be"):
>           xr.map_blocks(
                lambda a: a.isel(x=[1]).assign_coords(x=[120]),  # assign bad index values
                obj,
                template=obj.isel(x=[1, 5, 9]),
            ).compute()

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:1403: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function test_map_blocks_errors_bad_template.<locals>.<lambda> at 0x7f17fabd0a40>
obj = <xarray.Dataset>
Dimensions:  (x: 10, y: 20, z: 4)
Coordinates:
  * x        (x) int64 0 1 2 3 4 5 6 7 8 9
  * y      ...64 1 1 1 1
    e        (x, y) int64 100 101 102 103 104 105 ... 123 124 125 126 127 128
Attributes:
    test:     test
args = (), kwargs = {}
template = <xarray.Dataset>
Dimensions:  (x: 3, y: 20, z: 4)
Coordinates:
  * x        (x) int64 1 5 9
  * y        (y) int64 100...64 1 1 1 1
    e        (x, y) int64 101 102 103 104 105 106 ... 123 124 125 126 127 128
Attributes:
    test:     test

    def map_blocks(
        func: Callable[..., T_Xarray],
        obj: DataArray | Dataset,
        args: Sequence[Any] = (),
        kwargs: Mapping[str, Any] | None = None,
        template: DataArray | Dataset | None = None,
    ) -> T_Xarray:
        """Apply a function to each block of a DataArray or Dataset.
    
        .. warning::
            This function is experimental and its signature may change.
    
        Parameters
        ----------
        func : callable
            User-provided function that accepts a DataArray or Dataset as its first
            parameter ``obj``. The function will receive a subset or 'block' of ``obj`` (see below),
            corresponding to one chunk along each chunked dimension. ``func`` will be
            executed as ``func(subset_obj, *subset_args, **kwargs)``.
    
            This function must return either a single DataArray or a single Dataset.
    
            This function cannot add a new chunked dimension.
        obj : DataArray, Dataset
            Passed to the function as its first argument, one block at a time.
        args : sequence
            Passed to func after unpacking and subsetting any xarray objects by blocks.
            xarray objects in args must be aligned with obj, otherwise an error is raised.
        kwargs : mapping
            Passed verbatim to func after unpacking. xarray objects, if any, will not be
            subset to blocks. Passing dask collections in kwargs is not allowed.
        template : DataArray or Dataset, optional
            xarray object representing the final result after compute is called. If not provided,
            the function will be first run on mocked-up data, that looks like ``obj`` but
            has sizes 0, to determine properties of the returned object such as dtype,
            variable names, attributes, new dimensions and new indexes (if any).
            ``template`` must be provided if the function changes the size of existing dimensions.
            When provided, ``attrs`` on variables in `template` are copied over to the result. Any
            ``attrs`` set by ``func`` will be ignored.
    
        Returns
        -------
        A single DataArray or Dataset with dask backend, reassembled from the outputs of the
        function.
    
        Notes
        -----
        This function is designed for when ``func`` needs to manipulate a whole xarray object
        subset to each block. Each block is loaded into memory. In the more common case where
        ``func`` can work on numpy arrays, it is recommended to use ``apply_ufunc``.
    
        If none of the variables in ``obj`` is backed by dask arrays, calling this function is
        equivalent to calling ``func(obj, *args, **kwargs)``.
    
        See Also
        --------
        dask.array.map_blocks, xarray.apply_ufunc, xarray.Dataset.map_blocks
        xarray.DataArray.map_blocks
    
        Examples
        --------
        Calculate an anomaly from climatology using ``.groupby()``. Using
        ``xr.map_blocks()`` allows for parallel operations with knowledge of ``xarray``,
        its indices, and its methods like ``.groupby()``.
    
        >>> def calculate_anomaly(da, groupby_type="time.month"):
        ...     gb = da.groupby(groupby_type)
        ...     clim = gb.mean(dim="time")
        ...     return gb - clim
        ...
        >>> time = xr.cftime_range("1990-01", "1992-01", freq="M")
        >>> month = xr.DataArray(time.month, coords={"time": time}, dims=["time"])
        >>> np.random.seed(123)
        >>> array = xr.DataArray(
        ...     np.random.rand(len(time)),
        ...     dims=["time"],
        ...     coords={"time": time, "month": month},
        ... ).chunk()
        >>> array.map_blocks(calculate_anomaly, template=array).compute()
        <xarray.DataArray (time: 24)>
        array([ 0.12894847,  0.11323072, -0.0855964 , -0.09334032,  0.26848862,
                0.12382735,  0.22460641,  0.07650108, -0.07673453, -0.22865714,
               -0.19063865,  0.0590131 , -0.12894847, -0.11323072,  0.0855964 ,
                0.09334032, -0.26848862, -0.12382735, -0.22460641, -0.07650108,
                0.07673453,  0.22865714,  0.19063865, -0.0590131 ])
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
    
        Note that one must explicitly use ``args=[]`` and ``kwargs={}`` to pass arguments
        to the function being applied in ``xr.map_blocks()``:
    
        >>> array.map_blocks(
        ...     calculate_anomaly,
        ...     kwargs={"groupby_type": "time.year"},
        ...     template=array,
        ... )  # doctest: +ELLIPSIS
        <xarray.DataArray (time: 24)>
        dask.array<<this-array>-calculate_anomaly, shape=(24,), dtype=float64, chunksize=(24,), chunktype=numpy.ndarray>
        Coordinates:
          * time     (time) object 1990-01-31 00:00:00 ... 1991-12-31 00:00:00
            month    (time) int64 dask.array<chunksize=(24,), meta=np.ndarray>
        """
    
        def _wrapper(
            func: Callable,
            args: list,
            kwargs: dict,
            arg_is_array: Iterable[bool],
            expected: dict,
        ):
            """
            Wrapper function that receives datasets in args; converts to dataarrays when necessary;
            passes these to the user function `func` and checks returned objects for expected shapes/sizes/etc.
            """
    
            converted_args = [
                dataset_to_dataarray(arg) if is_array else arg
                for is_array, arg in zip(arg_is_array, args)
            ]
    
            result = func(*converted_args, **kwargs)
    
            # check all dims are present
            missing_dimensions = set(expected["shapes"]) - set(result.sizes)
            if missing_dimensions:
                raise ValueError(
                    f"Dimensions {missing_dimensions} missing on returned object."
                )
    
            # check that index lengths and values are as expected
            for name, index in result._indexes.items():
                if name in expected["shapes"]:
                    if result.sizes[name] != expected["shapes"][name]:
                        raise ValueError(
                            f"Received dimension {name!r} of length {result.sizes[name]}. "
                            f"Expected length {expected['shapes'][name]}."
                        )
                if name in expected["indexes"]:
                    expected_index = expected["indexes"][name]
                    if not index.equals(expected_index):
                        raise ValueError(
                            f"Expected index {name!r} to be {expected_index!r}. Received {index!r} instead."
                        )
    
            # check that all expected variables were returned
            check_result_variables(result, expected, "coords")
            if isinstance(result, Dataset):
                check_result_variables(result, expected, "data_vars")
    
            return make_dict(result)
    
        if template is not None and not isinstance(template, (DataArray, Dataset)):
            raise TypeError(
                f"template must be a DataArray or Dataset. Received {type(template).__name__} instead."
            )
        if not isinstance(args, Sequence):
            raise TypeError("args must be a sequence (for example, a list or tuple).")
        if kwargs is None:
            kwargs = {}
        elif not isinstance(kwargs, Mapping):
            raise TypeError("kwargs must be a mapping (for example, a dict)")
    
        for value in kwargs.values():
            if is_dask_collection(value):
                raise TypeError(
                    "Cannot pass dask collections in kwargs yet. Please compute or "
                    "load values before passing to map_blocks."
                )
    
        if not is_dask_collection(obj):
            return func(obj, *args, **kwargs)
    
        try:
            import dask
            import dask.array
            from dask.highlevelgraph import HighLevelGraph
    
        except ImportError:
            pass
    
        all_args = [obj] + list(args)
        is_xarray = [isinstance(arg, (Dataset, DataArray)) for arg in all_args]
        is_array = [isinstance(arg, DataArray) for arg in all_args]
    
        # there should be a better way to group this. partition?
        xarray_indices, xarray_objs = unzip(
            (index, arg) for index, arg in enumerate(all_args) if is_xarray[index]
        )
        others = [
            (index, arg) for index, arg in enumerate(all_args) if not is_xarray[index]
        ]
    
        # all xarray objects must be aligned. This is consistent with apply_ufunc.
        aligned = align(*xarray_objs, join="exact")
        xarray_objs = tuple(
            dataarray_to_dataset(arg) if isinstance(arg, DataArray) else arg
            for arg in aligned
        )
    
        _, npargs = unzip(
            sorted(list(zip(xarray_indices, xarray_objs)) + others, key=lambda x: x[0])
        )
    
        # check that chunk sizes are compatible
        input_chunks = dict(npargs[0].chunks)
        input_indexes = dict(npargs[0]._indexes)
        for arg in xarray_objs[1:]:
            assert_chunks_compatible(npargs[0], arg)
            input_chunks.update(arg.chunks)
            input_indexes.update(arg._indexes)
    
        if template is None:
            # infer template by providing zero-shaped arrays
            template = infer_template(func, aligned[0], *args, **kwargs)
            template_indexes = set(template._indexes)
            preserved_indexes = template_indexes & set(input_indexes)
            new_indexes = template_indexes - set(input_indexes)
            indexes = {dim: input_indexes[dim] for dim in preserved_indexes}
            indexes.update({k: template._indexes[k] for k in new_indexes})
            output_chunks: Mapping[Hashable, tuple[int, ...]] = {
                dim: input_chunks[dim] for dim in template.dims if dim in input_chunks
            }
    
        else:
            # template xarray object has been provided with proper sizes and chunk shapes
            indexes = dict(template._indexes)
            output_chunks = template.chunksizes
            if not output_chunks:
                raise ValueError(
                    "Provided template has no dask arrays. "
                    " Please construct a template with appropriately chunked dask arrays."
                )
    
        for dim in output_chunks:
            if dim in input_chunks and len(input_chunks[dim]) != len(output_chunks[dim]):
>               raise ValueError(
                    "map_blocks requires that one block of the input maps to one block of output. "
                    f"Expected number of output chunks along dimension {dim!r} to be {len(input_chunks[dim])}. "
                    f"Received {len(output_chunks[dim])} instead. Please provide template if not provided, or "
                    "fix the provided template."
                )
E               ValueError: map_blocks requires that one block of the input maps to one block of output. Expected number of output chunks along dimension 'x' to be 3. Received 1 instead. Please provide template if not provided, or fix the provided template.

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/parallel.py:383: ValueError

During handling of the above exception, another exception occurred:

obj = <xarray.Dataset>
Dimensions:  (x: 10, y: 20, z: 4)
Coordinates:
  * x        (x) int64 0 1 2 3 4 5 6 7 8 9
  * y      ...64 1 1 1 1
    e        (x, y) int64 100 101 102 103 104 105 ... 123 124 125 126 127 128
Attributes:
    test:     test

    @pytest.mark.parametrize("obj", [make_da(), make_ds()])
    def test_map_blocks_errors_bad_template(obj):
        with pytest.raises(ValueError, match=r"unexpected coordinate variables"):
            xr.map_blocks(lambda x: x.assign_coords(a=10), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"does not contain coordinate variables"):
            xr.map_blocks(lambda x: x.drop_vars("cxy"), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Dimensions {'x'} missing"):
            xr.map_blocks(lambda x: x.isel(x=1), obj, template=obj).compute()
        with pytest.raises(ValueError, match=r"Received dimension 'x' of length 1"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=obj).compute()
        with pytest.raises(TypeError, match=r"must be a DataArray"):
            xr.map_blocks(lambda x: x.isel(x=[1]), obj, template=(obj,)).compute()
        with pytest.raises(ValueError, match=r"map_blocks requires that one block"):
            xr.map_blocks(
                lambda x: x.isel(x=[1]).assign_coords(x=10), obj, template=obj.isel(x=[1])
            ).compute()
>       with pytest.raises(ValueError, match=r"Expected index 'x' to be"):
E       AssertionError: Regex pattern did not match.
E        Regex: "Expected index 'x' to be"
E        Input: "map_blocks requires that one block of the input maps to one block of output. Expected number of output chunks along dimension 'x' to be 3. Received 1 instead. Please provide template if not provided, or fix the provided template."

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dask.py:1402: AssertionError
______________ TestDataArray.test_unary_operations[float64-round] ______________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

self = <xarray.tests.test_units.TestDataArray object at 0x7f18089d48c0>
func = <function round at 0x7f183411a0b0>, dtype = dtype('float64')

    @pytest.mark.skipif(
        (sys.version_info >= (3, 11)) and sys.platform.startswith("win"),
        reason="fails for some reason on win and 3.11, GH7971",
    )
    @pytest.mark.parametrize(
        "func",
        (
            pytest.param(operator.neg, id="negate"),
            pytest.param(abs, id="absolute"),
            pytest.param(np.round, id="round"),
        ),
    )
    def test_unary_operations(self, func, dtype):
        array = np.arange(10).astype(dtype) * unit_registry.m
        data_array = xr.DataArray(data=array)
    
>       units = extract_units(func(array))
E       TypeError: no implementation found for 'numpy.round' on types that implement __array_function__: [<class 'pint.quantity.build_quantity_class.<locals>.Quantity'>]

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:2444: TypeError
_______________ TestDataArray.test_unary_operations[int64-round] _______________
[gw1] linux -- Python 3.12.8 /usr/bin/python3

self = <xarray.tests.test_units.TestDataArray object at 0x7f18089d4a70>
func = <function round at 0x7f183411a0b0>, dtype = dtype('int64')

    @pytest.mark.skipif(
        (sys.version_info >= (3, 11)) and sys.platform.startswith("win"),
        reason="fails for some reason on win and 3.11, GH7971",
    )
    @pytest.mark.parametrize(
        "func",
        (
            pytest.param(operator.neg, id="negate"),
            pytest.param(abs, id="absolute"),
            pytest.param(np.round, id="round"),
        ),
    )
    def test_unary_operations(self, func, dtype):
        array = np.arange(10).astype(dtype) * unit_registry.m
        data_array = xr.DataArray(data=array)
    
>       units = extract_units(func(array))
E       TypeError: no implementation found for 'numpy.round' on types that implement __array_function__: [<class 'pint.quantity.build_quantity_class.<locals>.Quantity'>]

/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:2444: TypeError
=============================== warnings summary ===============================
../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:486
../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:486
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:486: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    "t": pd.date_range("2001-01-01", freq="M", periods=24),

../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_missing.py:666
../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_missing.py:666
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_missing.py:666: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.
    "max_gap", ["3H", np.timedelta64(3, "h"), pd.to_timedelta("3H")]

tests/test_accessor_dt.py: 65 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_accessor_dt.py:26: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    self.times = pd.date_range(start="2000/01/01", freq="H", periods=nt)

tests/test_accessor_dt.py::TestDatetimeAccessor::test_seasons
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_accessor_dt.py:237: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    dates = pd.date_range(start="2000/01/01", freq="M", periods=12)

tests/test_accessor_dt.py::TestDatetimeAccessor::test_accessor_method[floor-D]
tests/test_accessor_dt.py::TestDatetimeAccessor::test_accessor_method[ceil-D]
tests/test_accessor_dt.py::TestDatetimeAccessor::test_accessor_method[round-D]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_accessor_dt.py:264: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    dates = pd.date_range("2014-01-01", "2014-05-01", freq="H")

tests/test_accessor_dt.py: 15 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_accessor_dt.py:278: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    self.times = pd.timedelta_range(start="1 day", freq="6H", periods=nt)

tests/test_accessor_dt.py::TestTimedeltaAccessor::test_accessor_methods[floor-D]
tests/test_accessor_dt.py::TestTimedeltaAccessor::test_accessor_methods[ceil-D]
tests/test_accessor_dt.py::TestTimedeltaAccessor::test_accessor_methods[round-D]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_accessor_dt.py:316: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    dates = pd.timedelta_range(start="1 day", end="30 days", freq="6H")

tests/test_backends.py::test_pickle_open_mfdataset_dataset
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/data/bears.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='9ac16f91-81ab-4e7c-b63e-2bff8b9c7720'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_array_api.py::test_astype
tests/test_dataset.py::TestDataset::test_unary_ops
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/duck_array_ops.py:188: RuntimeWarning: invalid value encountered in cast
    return data.astype(dtype, **kwargs)

tests/test_array_api.py::test_astype
  /usr/lib64/python3.12/site-packages/numpy/array_api/_data_type_functions.py:30: RuntimeWarning: invalid value encountered in cast
    return Array._new(x._array.astype(dtype=dtype, copy=copy))

tests/test_calendar_ops.py::test_convert_calendar[all_leap-proleptic_gregorian-False-4H]
tests/test_calendar_ops.py::test_convert_calendar_360_days[date-proleptic_gregorian-360_day-4H]
tests/test_calendar_ops.py::test_convert_calendar_360_days[year-proleptic_gregorian-360_day-4H]
tests/test_calendar_ops.py::test_convert_calendar_missing[noleap-proleptic_gregorian-4H]
tests/test_calendar_ops.py::test_convert_calendar_same_calendar
tests/test_cftime_offsets.py::test_date_range_like[2020-02-28-3H-all_leap-gregorian-False-2020-02-28-True]
tests/test_cftime_offsets.py::test_date_range_like_same_calendar
tests/test_groupby.py::TestDataArrayResample::test_resample[False]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:1211: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    return pd.date_range(

tests/test_calendar_ops.py: 2 warnings
tests/test_groupby.py: 8 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/groupby.py:508: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    index_grouper = pd.Grouper(

tests/test_backends.py: 33 warnings
tests/test_conventions.py: 3 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/variables.py:259: DeprecationWarning: NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays.  The conversion of 255 to int8 will fail in the future.
  For the old behavior, usually:
      np.array(value).astype(dtype)
  will give the desired result (the cast overflows).
    encoding["_FillValue"] = dtype.type(fv)

tests/test_backends.py::TestZarrDictStore::test_drop_encoding
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/data/example_1.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='13d6ef77-32ce-4e6e-9235-2e0474a7fac8'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_backends.py::TestZarrDirectoryStore::test_drop_encoding
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/data/example_1.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='eb91347e-3914-4167-a6bf-691a6bb0a4ad'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_cftimeindex_resample.py: 81 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:129: FutureWarning: 'Q-JUN' is deprecated and will be removed in a future version, please use 'QE-JUN' instead.
    datetime_index = pd.date_range(**index_kwargs)

tests/test_cftimeindex_resample.py: 81 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:129: FutureWarning: 'AS-MAR' is deprecated and will be removed in a future version, please use 'YS-MAR' instead.
    datetime_index = pd.date_range(**index_kwargs)

tests/test_cftimeindex_resample.py: 81 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:129: FutureWarning: 'A-MAY' is deprecated and will be removed in a future version, please use 'YE-MAY' instead.
    datetime_index = pd.date_range(**index_kwargs)

tests/test_cftimeindex_resample.py: 81 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:129: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    datetime_index = pd.date_range(**index_kwargs)

tests/test_cftimeindex_resample.py: 81 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:129: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    datetime_index = pd.date_range(**index_kwargs)

tests/test_backends.py::TestZarrWriteEmpty::test_drop_encoding
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/data/example_1.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='035472c1-2a3d-4c75-951f-4657009734d0'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_cftimeindex_resample.py::test_calendars[gregorian]
tests/test_cftimeindex_resample.py::test_calendars[noleap]
tests/test_cftimeindex_resample.py::test_calendars[all_leap]
tests/test_cftimeindex_resample.py::test_calendars[360_day]
tests/test_cftimeindex_resample.py::test_calendars[julian]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:182: FutureWarning: Following pandas, the `loffset` parameter to resample will be deprecated in a future version of xarray.  Switch to using time offset arithmetic.
    .resample(time=freq, closed=closed, label=label, base=base, loffset=loffset)

tests/test_cftimeindex_resample.py::test_calendars[gregorian]
tests/test_cftimeindex_resample.py::test_calendars[noleap]
tests/test_cftimeindex_resample.py::test_calendars[all_leap]
tests/test_cftimeindex_resample.py::test_calendars[360_day]
tests/test_cftimeindex_resample.py::test_calendars[julian]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:182: FutureWarning: Following pandas, the `base` parameter to resample will be deprecated in a future version of xarray.  Switch to using `origin` or `offset` instead.
    .resample(time=freq, closed=closed, label=label, base=base, loffset=loffset)

tests/test_cftimeindex_resample.py::test_calendars[gregorian]
tests/test_cftimeindex_resample.py::test_calendars[noleap]
tests/test_cftimeindex_resample.py::test_calendars[all_leap]
tests/test_cftimeindex_resample.py::test_calendars[360_day]
tests/test_cftimeindex_resample.py::test_calendars[julian]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:187: FutureWarning: Following pandas, the `loffset` parameter to resample will be deprecated in a future version of xarray.  Switch to using time offset arithmetic.
    .resample(time=freq, closed=closed, label=label, base=base, loffset=loffset)

tests/test_cftimeindex_resample.py::test_calendars[gregorian]
tests/test_cftimeindex_resample.py::test_calendars[noleap]
tests/test_cftimeindex_resample.py::test_calendars[all_leap]
tests/test_cftimeindex_resample.py::test_calendars[360_day]
tests/test_cftimeindex_resample.py::test_calendars[julian]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:187: FutureWarning: Following pandas, the `base` parameter to resample will be deprecated in a future version of xarray.  Switch to using `origin` or `offset` instead.
    .resample(time=freq, closed=closed, label=label, base=base, loffset=loffset)

tests/test_cftimeindex_resample.py::test_calendars[gregorian]
tests/test_cftimeindex_resample.py::test_calendars[noleap]
tests/test_cftimeindex_resample.py::test_calendars[all_leap]
tests/test_cftimeindex_resample.py::test_calendars[360_day]
tests/test_cftimeindex_resample.py::test_calendars[julian]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/pdcompat.py:86: FutureWarning: 'T' is deprecated and will be removed in a future version, please use 'min' instead.
    freq = pd.tseries.frequencies.to_offset(freq)

tests/test_cftimeindex_resample.py::test_calendars[gregorian]
tests/test_cftimeindex_resample.py::test_calendars[noleap]
tests/test_cftimeindex_resample.py::test_calendars[all_leap]
tests/test_cftimeindex_resample.py::test_calendars[360_day]
tests/test_cftimeindex_resample.py::test_calendars[julian]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/groupby.py:508: FutureWarning: 'T' is deprecated and will be removed in a future version, please use 'min' instead.
    index_grouper = pd.Grouper(

tests/test_cftimeindex_resample.py: 12 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:211: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    datetime_index = pd.date_range(**index_kwargs)

tests/test_cftimeindex_resample.py: 12 warnings
tests/test_groupby.py: 41 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/groupby.py:508: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    index_grouper = pd.Grouper(

tests/test_cftimeindex_resample.py::test_base_and_offset_error
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:229: FutureWarning: Following pandas, the `base` parameter to resample will be deprecated in a future version of xarray.  Switch to using `origin` or `offset` instead.
    da_cftime.resample(time="2D", base=3, offset="5S")

tests/test_cftimeindex_resample.py::test_resample_loffset_cftimeindex[12H]
tests/test_cftimeindex_resample.py::test_resample_loffset_cftimeindex[loffset1]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:254: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    datetimeindex = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_cftimeindex_resample.py::test_resample_invalid_loffset_cftimeindex
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex_resample.py:273: FutureWarning: Following pandas, the `loffset` parameter to resample will be deprecated in a future version of xarray.  Switch to using time offset arithmetic.
    da.resample(time="24H", loffset=1)  # type: ignore

tests/test_cftimeindex_resample.py::test__convert_base_to_offset[1-10S]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/pdcompat.py:86: FutureWarning: 'S' is deprecated and will be removed in a future version, please use 's' instead.
    freq = pd.tseries.frequencies.to_offset(freq)

tests/test_cftimeindex_resample.py::test__convert_base_to_offset[17-3H]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/pdcompat.py:86: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    freq = pd.tseries.frequencies.to_offset(freq)

tests/test_cftimeindex_resample.py::test__convert_base_to_offset[15-5U]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/pdcompat.py:86: FutureWarning: 'U' is deprecated and will be removed in a future version, please use 'us' instead.
    freq = pd.tseries.frequencies.to_offset(freq)

tests/test_backends.py::TestDask::test_inline_array
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/tmpcn1m63sq/temp-1485.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='473e06a4-5adc-43eb-abef-2e4e2b2d6464'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_backends.py::TestDask::test_inline_array
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/tmpcn1m63sq/temp-1485.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='a18f96b9-8285-4abc-9b45-e063fa77f017'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_backends.py::TestDask::test_inline_array
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/tmpcn1m63sq/temp-1485.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='e91d63f7-626f-4a44-8470-bd956570f015'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_backends.py::TestDask::test_inline_array
  /usr/lib/python3.12/site-packages/_pytest/python.py:194: RuntimeWarning: deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/tmpcn1m63sq/temp-1485.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='715bbb8b-617b-4e16-932c-0890e8cc272b'), but file is not already closed. This may indicate a bug.
    result = testfunction(**testargs)

tests/test_cftime_offsets.py::test_dayofweek_after_cftime_range[A]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1302: FutureWarning: 'A' is deprecated and will be removed in a future version, please use 'YE' instead.
    expected = pd.date_range("2000-02-01", periods=3, freq=freq).dayofweek

tests/test_cftime_offsets.py::test_dayofweek_after_cftime_range[M]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1302: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    expected = pd.date_range("2000-02-01", periods=3, freq=freq).dayofweek

tests/test_cftime_offsets.py::test_dayofyear_after_cftime_range[A]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1309: FutureWarning: 'A' is deprecated and will be removed in a future version, please use 'YE' instead.
    expected = pd.date_range("2000-02-01", periods=3, freq=freq).dayofyear

tests/test_cftime_offsets.py::test_dayofyear_after_cftime_range[M]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftime_offsets.py:1309: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    expected = pd.date_range("2000-02-01", periods=3, freq=freq).dayofyear

tests/test_cftime_offsets.py::test_date_range_like[2020-02-01-4M-standard-noleap-None-2020-02-28-False]
tests/test_cftime_offsets.py::test_date_range_like[2020-02-01-M-noleap-gregorian-True-2020-02-29-True]
tests/test_cftime_offsets.py::test_date_range_like[2020-03-30-M-360_day-gregorian-False-2020-03-31-True]
tests/test_cftime_offsets.py::test_date_range_like[2020-03-31-M-gregorian-360_day-None-2020-03-30-False]
tests/test_groupby.py::TestDataArrayResample::test_resample_doctest[False]
tests/test_groupby.py::TestDataArrayResample::test_resample_doctest[False]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/cftime_offsets.py:1211: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    return pd.date_range(

tests/test_coding_times.py::test_decode_standard_calendar_inside_timestamp_range[gregorian]
tests/test_coding_times.py::test_decode_standard_calendar_inside_timestamp_range[proleptic_gregorian]
tests/test_coding_times.py::test_decode_standard_calendar_inside_timestamp_range[standard]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:206: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2001-04-01-00", end="2001-04-30-23", freq="H")

tests/test_coding_times.py::test_decode_non_standard_calendar_inside_timestamp_range[360_day]
tests/test_coding_times.py::test_decode_non_standard_calendar_inside_timestamp_range[365_day]
tests/test_coding_times.py::test_decode_non_standard_calendar_inside_timestamp_range[366_day]
tests/test_coding_times.py::test_decode_non_standard_calendar_inside_timestamp_range[all_leap]
tests/test_coding_times.py::test_decode_non_standard_calendar_inside_timestamp_range[julian]
tests/test_coding_times.py::test_decode_non_standard_calendar_inside_timestamp_range[noleap]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:226: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2001-04-01-00", end="2001-04-30-23", freq="H")

tests/test_coding_times.py::test_infer_datetime_units[N-nanoseconds]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:528: FutureWarning: 'N' is deprecated and will be removed in a future version, please use 'ns' instead.
    dates = pd.date_range("2000", periods=2, freq=freq)

tests/test_coding_times.py::test_infer_datetime_units[U-microseconds]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:528: FutureWarning: 'U' is deprecated and will be removed in a future version, please use 'us' instead.
    dates = pd.date_range("2000", periods=2, freq=freq)

tests/test_coding_times.py::test_infer_datetime_units[L-milliseconds]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:528: FutureWarning: 'L' is deprecated and will be removed in a future version, please use 'ms' instead.
    dates = pd.date_range("2000", periods=2, freq=freq)

tests/test_coding_times.py::test_infer_datetime_units[S-seconds]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:528: FutureWarning: 'S' is deprecated and will be removed in a future version, please use 's' instead.
    dates = pd.date_range("2000", periods=2, freq=freq)

tests/test_coding_times.py::test_infer_datetime_units[T-minutes]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:528: FutureWarning: 'T' is deprecated and will be removed in a future version, please use 'min' instead.
    dates = pd.date_range("2000", periods=2, freq=freq)

tests/test_coding_times.py::test_infer_datetime_units[H-hours]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:528: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    dates = pd.date_range("2000", periods=2, freq=freq)

tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-nanoseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-microseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-milliseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-seconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-minutes]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-hours]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-days]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1037: FutureWarning: 'N' is deprecated and will be removed in a future version, please use 'ns' instead.
    times = date_range("2000", periods=3, freq=freq)

tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-nanoseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-microseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-milliseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-seconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-minutes]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-hours]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-N-days]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1043: FutureWarning: 'N' is deprecated and will be removed in a future version. Please use 'ns' instead of 'N'.
    if pd.to_timedelta(1, freq) >= encoding_units_as_timedelta:

tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-U-nanoseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-U-microseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-U-milliseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-U-seconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-U-minutes]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-U-hours]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-U-days]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1037: FutureWarning: 'U' is deprecated and will be removed in a future version, please use 'us' instead.
    times = date_range("2000", periods=3, freq=freq)

tests/test_coding_times.py: 13 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1043: FutureWarning: 'U' is deprecated and will be removed in a future version. Please use 'us' instead of 'U'.
    if pd.to_timedelta(1, freq) >= encoding_units_as_timedelta:

tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-nanoseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-microseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-milliseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-seconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-minutes]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-hours]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-days]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1037: FutureWarning: 'L' is deprecated and will be removed in a future version, please use 'ms' instead.
    times = date_range("2000", periods=3, freq=freq)

tests/test_coding_times.py: 13 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1043: FutureWarning: 'L' is deprecated and will be removed in a future version. Please use 'ms' instead of 'L'.
    if pd.to_timedelta(1, freq) >= encoding_units_as_timedelta:

tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-S-nanoseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-S-microseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-S-milliseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-S-seconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-S-minutes]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-S-hours]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-S-days]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1037: FutureWarning: 'S' is deprecated and will be removed in a future version, please use 's' instead.
    times = date_range("2000", periods=3, freq=freq)

tests/test_coding_times.py: 13 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1043: FutureWarning: 'S' is deprecated and will be removed in a future version. Please use 's' instead of 'S'.
    if pd.to_timedelta(1, freq) >= encoding_units_as_timedelta:

tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-T-nanoseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-T-microseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-T-milliseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-T-seconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-T-minutes]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-T-hours]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-T-days]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1037: FutureWarning: 'T' is deprecated and will be removed in a future version, please use 'min' instead.
    times = date_range("2000", periods=3, freq=freq)

tests/test_coding_times.py: 13 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1043: FutureWarning: 'T' is deprecated and will be removed in a future version. Please use 'min' instead of 'T'.
    if pd.to_timedelta(1, freq) >= encoding_units_as_timedelta:

tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-H-nanoseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-H-microseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-H-milliseconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-H-seconds]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-H-minutes]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-H-hours]
tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-H-days]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1037: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = date_range("2000", periods=3, freq=freq)

tests/test_coding_times.py: 13 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1043: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.
    if pd.to_timedelta(1, freq) >= encoding_units_as_timedelta:

tests/test_cftimeindex.py: 14 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex.py:753: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.
    result = a + pd.Timedelta(n, units)

tests/test_cftimeindex.py: 14 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex.py:753: FutureWarning: 'S' is deprecated and will be removed in a future version. Please use 's' instead of 'S'.
    result = a + pd.Timedelta(n, units)

tests/test_coding_times.py::test_encode_decode_roundtrip_datetime64[N]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1054: FutureWarning: 'N' is deprecated and will be removed in a future version, please use 'ns' instead.
    times = initial_time.append(pd.date_range("1968", periods=2, freq=freq))

tests/test_coding_times.py::test_encode_decode_roundtrip_datetime64[U]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1054: FutureWarning: 'U' is deprecated and will be removed in a future version, please use 'us' instead.
    times = initial_time.append(pd.date_range("1968", periods=2, freq=freq))

tests/test_coding_times.py::test_encode_decode_roundtrip_datetime64[L]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1054: FutureWarning: 'L' is deprecated and will be removed in a future version, please use 'ms' instead.
    times = initial_time.append(pd.date_range("1968", periods=2, freq=freq))

tests/test_coding_times.py::test_encode_decode_roundtrip_datetime64[S]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1054: FutureWarning: 'S' is deprecated and will be removed in a future version, please use 's' instead.
    times = initial_time.append(pd.date_range("1968", periods=2, freq=freq))

tests/test_coding_times.py::test_encode_decode_roundtrip_datetime64[T]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1054: FutureWarning: 'T' is deprecated and will be removed in a future version, please use 'min' instead.
    times = initial_time.append(pd.date_range("1968", periods=2, freq=freq))

tests/test_coding_times.py::test_encode_decode_roundtrip_datetime64[H]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1054: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = initial_time.append(pd.date_range("1968", periods=2, freq=freq))

tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1677-09-21T00:12:43.145225-us-int64-None-False]
tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1970-01-01T00:00:01.000001-us-int64-None-False]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coding_times.py:1234: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
    var = Variable(["time"], times, encoding=encoding)

tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[floor-3663S]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[floor-33T]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[floor-2H]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[ceil-3663S]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[ceil-33T]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[ceil-2H]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[round-3663S]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[round-33T]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[round-2H]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex.py:1149: FutureWarning: 'S' is deprecated and will be removed in a future version, please use 's' instead.
    expected = pd.date_range("2000-01-02T01:03:51", periods=10, freq="1777S")

tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[floor-3663S]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[ceil-3663S]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[round-3663S]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex.py:1150: FutureWarning: 'S' is deprecated and will be removed in a future version, please use 's' instead.
    expected = getattr(expected, method)(freq)

tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[floor-33T]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[ceil-33T]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[round-33T]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex.py:1150: FutureWarning: 'T' is deprecated and will be removed in a future version, please use 'min' instead.
    expected = getattr(expected, method)(freq)

tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[floor-2H]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[ceil-2H]
tests/test_cftimeindex.py::test_rounding_methods_against_datetimeindex[round-2H]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cftimeindex.py:1150: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = getattr(expected, method)(freq)

tests/test_dataset.py::TestDataset::test_virtual_variable_same_name
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dataset.py:4028: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="H", periods=5)

tests/test_dataset.py::TestDataset::test_time_season
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dataset.py:4035: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    ds = Dataset({"t": pd.date_range("2000-01-01", periods=12, freq="M")})

tests/test_dataset.py::TestDataset::test_to_and_from_dict_with_nan_nat[array]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_dataset.py:4922: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
    roundtripped = Dataset.from_dict(ds.to_dict(data=data))

tests/test_conventions.py::TestCFEncodedDataStore::test_roundtrip_mask_and_scale[create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/coding/variables.py:431: DeprecationWarning: NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays.  The conversion of -1 to uint8 will fail in the future.
  For the old behavior, usually:
      np.array(value).astype(dtype)
  will give the desired result (the cast overflows).
    new_fill = unsigned_dtype.type(attrs["_FillValue"])

tests/test_dask.py: 12 warnings
tests/test_units.py: 10 warnings
  /usr/lib64/python3.12/site-packages/numpy/core/numeric.py:407: RuntimeWarning: invalid value encountered in cast
    multiarray.copyto(res, fill_value, casting='unsafe')

tests/test_dataarray.py: 22 warnings
tests/test_duck_array_ops.py: 2 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/nputils.py:196: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
    out[-1] = resid if resid.size > 0 else np.nan

tests/test_interp.py::test_datetime_interp_noerror
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_interp.py:742: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    coords={"time": pd.date_range("01-01-2001", periods=50, freq="H")},

tests/test_groupby.py::test_groupby_bins_timeseries
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:647: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    time_bins = pd.date_range(start="2010-08-01", end="2010-08-15", freq="24H")

tests/test_groupby.py::test_groupby_math_dim_order
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:960: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    coords={"time": pd.date_range("2001-01-01", periods=12, freq="6H")},

tests/test_groupby.py: 30 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1477: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
    expected_df = df.groupby("dim_0_bins").sum()

tests/test_groupby.py::TestDataArrayResample::test_resample[True]
tests/test_groupby.py::TestDataArrayResample::test_resample[True]
tests/test_groupby.py::TestDataArrayResample::test_resample[False]
tests/test_groupby.py::TestDataArrayResample::test_resample[False]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1634: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    array_.to_series().resample(*args, **kwargs).mean()

tests/test_groupby.py::TestDataArrayResample::test_resample_first
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1700: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDataArrayResample::test_resample_first
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1709: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = DataArray(array.to_series().resample("24H").first())

tests/test_groupby.py::TestDataArrayResample::test_resample_bad_resample_dim
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1733: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDataArrayResample::test_resample_drop_nondim_coords
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1742: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=5)

tests/test_groupby.py::TestDataArrayResample::test_resample_keep_attrs
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1771: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDataArrayResample::test_resample_skipna
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1785: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDataArrayResample::test_upsample
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1794: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=5)

tests/test_groupby.py::TestDataArrayResample::test_upsample
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1799: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = DataArray(array.to_series().resample("3H").ffill())

tests/test_groupby.py::TestDataArrayResample::test_upsample
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1804: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = DataArray(array.to_series().resample("3H").bfill())

tests/test_groupby.py::TestDataArrayResample::test_upsample
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1809: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = DataArray(array.to_series().resample("3H").asfreq())

tests/test_groupby.py::TestDataArrayResample::test_upsample
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1814: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = DataArray(array.to_series().resample("3H").ffill())

tests/test_groupby.py::TestDataArrayResample::test_upsample_nd
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1828: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=5)

tests/test_groupby.py::TestDataArrayResample::test_upsample_nd
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1835: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected_times = times.to_series().resample("3H").asfreq().index

tests/test_groupby.py::TestDataArrayResample::test_upsample_nd
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1848: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected_times = times.to_series().resample("3H").asfreq().index

tests/test_groupby.py::TestDataArrayResample::test_upsample_nd
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1861: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected_times = times.to_series().resample("3H").asfreq().index

tests/test_groupby.py::TestDataArrayResample::test_upsample_nd
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1874: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected_times = times.to_series().resample("3H").asfreq().index

tests/test_groupby.py::TestDataArrayResample::test_upsample_tolerance
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1885: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times_upsampled = pd.date_range("2000-01-01", freq="6H", periods=5)

tests/test_groupby.py::TestDataArrayResample::test_upsample_tolerance
tests/test_groupby.py::TestDataArrayResample::test_upsample_tolerance
tests/test_groupby.py::TestDataArrayResample::test_upsample_tolerance
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/indexes.py:561: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.
    flat_indexer = index.get_indexer(flat_labels, method=method, tolerance=tolerance)

tests/test_groupby.py::TestDataArrayResample::test_upsample_interpolate
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1909: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=5)

tests/test_groupby.py::TestDataArrayResample::test_upsample_interpolate
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1915: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected_times = times.to_series().resample("1H").asfreq().index

tests/test_groupby.py::TestDataArrayResample::test_upsample_interpolate_dask[True]
tests/test_groupby.py::TestDataArrayResample::test_upsample_interpolate_dask[False]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1971: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=5)

tests/test_groupby.py::TestDataArrayResample::test_upsample_interpolate_dask[True]
tests/test_groupby.py::TestDataArrayResample::test_upsample_interpolate_dask[False]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:1980: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected_times = times.to_series().resample("1H").asfreq().index

tests/test_groupby.py::TestDataArrayResample::test_resample_offset
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2021: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01T02:03:01", freq="6H", periods=10)

tests/test_groupby.py::TestDataArrayResample::test_resample_offset
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2024: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.
    offset = pd.Timedelta("11H")

tests/test_groupby.py::TestDataArrayResample::test_resample_offset
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2026: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = DataArray(array.to_series().resample("24H", offset=offset).mean())

tests/test_groupby.py::TestDataArrayResample::test_resample_origin
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2030: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01T02:03:01", freq="6H", periods=10)

tests/test_groupby.py::TestDataArrayResample::test_resample_origin
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2035: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected = DataArray(array.to_series().resample("24H", origin=origin).mean())

tests/test_groupby.py::TestDataArrayResample::test_resample_invalid_loffset
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2062: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_and_first
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2074: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_and_first
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2088: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    expected_time = pd.date_range("2000-01-01", freq="3H", periods=19)

tests/test_groupby.py::TestDatasetResample::test_resample_min_count
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2100: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_by_mean_with_keep_attrs
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2122: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_loffset
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2147: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_by_mean_discarding_attrs
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2158: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_by_last_discarding_attrs
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2174: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_drop_nondim_coords
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2193: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=5)

tests/test_groupby.py::TestDatasetResample::test_resample_old_api
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2217: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    times = pd.date_range("2000-01-01", freq="6H", periods=10)

tests/test_groupby.py::TestDatasetResample::test_resample_ds_da_are_the_same
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2236: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    time = pd.date_range("2000-01-01", freq="6H", periods=365 * 4)

tests/test_groupby.py::test_resample_cumsum[cumsum-expected_array0]
tests/test_groupby.py::test_resample_cumsum[cumprod-expected_array1]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2320: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    "time": pd.date_range("01-01-2001", freq="M", periods=6),

tests/test_groupby.py::test_resample_cumsum[cumsum-expected_array0]
tests/test_groupby.py::test_resample_cumsum[cumprod-expected_array1]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_groupby.py:2327: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
    "time": pd.date_range("01-01-2001", freq="M", periods=6),

tests/test_missing.py: 41 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_missing.py:85: FutureWarning: The 'unit' keyword in TimedeltaIndex construction is deprecated and will be removed in a future version. Use pd.to_timedelta instead.
    deltas = pd.TimedeltaIndex(unit="d", data=rs.normal(size=shape[0], scale=10))

tests/test_missing.py::test_interpolate_na_max_gap_errors
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_missing.py:648: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    da_time["t"] = pd.date_range("2001-01-01", freq="H", periods=11)

tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[3H-<lambda>0-date_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[3H-<lambda>1-date_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[max_gap1-<lambda>0-date_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[max_gap1-<lambda>1-date_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[max_gap2-<lambda>0-date_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[max_gap2-<lambda>1-date_range]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_missing.py:671: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
    da_time["t"] = time_range_func("2001-01-01", freq="H", periods=11)

tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[3H-<lambda>0-date_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[3H-<lambda>0-cftime_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[3H-<lambda>1-date_range]
tests/test_missing.py::test_interpolate_na_max_gap_time_specifier[3H-<lambda>1-cftime_range]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/duck_array_ops.py:529: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.
    a = pd.to_timedelta(value)

tests/test_rolling.py::TestDataArrayRolling::test_rolling_wrapped_dask_nochunk[True]
tests/test_rolling.py::TestDataArrayRolling::test_rolling_wrapped_dask_nochunk[None]
  /usr/lib/python3.12/site-packages/dask/array/chunk.py:279: RuntimeWarning: invalid value encountered in cast
    return x.astype(astype_dtype, **kwargs)

tests/test_units.py::TestDataArray::test_missing_value_filling[int64-method_ffill]
tests/test_units.py::TestDataArray::test_missing_value_filling[int64-method_bfill]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:2783: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py: 15 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:2820: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py::TestDataArray::test_dropna[int64]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:2848: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py::TestDataArray::test_isin[int64-no_unit]
tests/test_units.py::TestDataArray::test_isin[int64-dimensionless]
tests/test_units.py::TestDataArray::test_isin[int64-incompatible_unit]
tests/test_units.py::TestDataArray::test_isin[int64-compatible_unit]
tests/test_units.py::TestDataArray::test_isin[int64-identical_unit]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:2873: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py::TestDataArray::test_isin[int64-no_unit]
tests/test_units.py::TestDataArray::test_isin[int64-dimensionless]
tests/test_units.py::TestDataArray::test_isin[int64-incompatible_unit]
tests/test_units.py::TestDataArray::test_isin[int64-compatible_unit]
tests/test_units.py::TestDataArray::test_isin[int64-identical_unit]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:2878: RuntimeWarning: invalid value encountered in cast
    raw_values = np.array([1.4, np.nan, 2.3]).astype(dtype)

tests/test_units.py::TestDataArray::test_resample[float64]
tests/test_units.py::TestDataArray::test_resample[int64]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:3899: FutureWarning: 'y' is deprecated and will be removed in a future version, please use 'YE' instead.
    time = pd.date_range("10-09-2010", periods=len(array), freq="1y")

tests/test_units.py: 12 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/core/groupby.py:508: FutureWarning: 'm' is deprecated and will be removed in a future version, please use 'ME' instead.
    index_grouper = pd.Grouper(

tests/test_units.py::TestDataset::test_combine_first[int64-data-no_unit]
tests/test_units.py::TestDataset::test_combine_first[int64-data-dimensionless]
tests/test_units.py::TestDataset::test_combine_first[int64-data-incompatible_unit]
tests/test_units.py::TestDataset::test_combine_first[int64-data-compatible_unit]
tests/test_units.py::TestDataset::test_combine_first[int64-data-same_unit]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4508: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype) * data_unit

tests/test_units.py::TestDataset::test_combine_first[int64-data-no_unit]
tests/test_units.py::TestDataset::test_combine_first[int64-data-dimensionless]
tests/test_units.py::TestDataset::test_combine_first[int64-data-incompatible_unit]
tests/test_units.py::TestDataset::test_combine_first[int64-data-compatible_unit]
tests/test_units.py::TestDataset::test_combine_first[int64-data-same_unit]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4511: RuntimeWarning: invalid value encountered in cast
    np.array([4.3, 9.8, 7.5, np.nan, 8.2, np.nan]).astype(dtype) * data_unit

tests/test_units.py::TestDataset::test_missing_value_filling[int64-method_ffill]
tests/test_units.py::TestDataset::test_missing_value_filling[int64-method_bfill]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4273: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py::TestDataset::test_missing_value_filling[int64-method_ffill]
tests/test_units.py::TestDataset::test_missing_value_filling[int64-method_bfill]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4277: RuntimeWarning: invalid value encountered in cast
    np.array([4.3, 9.8, 7.5, np.nan, 8.2, np.nan]).astype(dtype)

tests/test_units.py: 15 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4316: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py: 15 warnings
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4320: RuntimeWarning: invalid value encountered in cast
    np.array([4.3, 9.8, 7.5, np.nan, 8.2, np.nan]).astype(dtype)

tests/test_units.py::TestDataset::test_dropna[int64]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4346: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py::TestDataset::test_dropna[int64]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4350: RuntimeWarning: invalid value encountered in cast
    np.array([4.3, 9.8, 7.5, np.nan, 8.2, np.nan]).astype(dtype)

tests/test_units.py::TestDataset::test_isin[int64-no_unit]
tests/test_units.py::TestDataset::test_isin[int64-dimensionless]
tests/test_units.py::TestDataset::test_isin[int64-incompatible_unit]
tests/test_units.py::TestDataset::test_isin[int64-compatible_unit]
tests/test_units.py::TestDataset::test_isin[int64-same_unit]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4374: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py::TestDataset::test_isin[int64-no_unit]
tests/test_units.py::TestDataset::test_isin[int64-dimensionless]
tests/test_units.py::TestDataset::test_isin[int64-incompatible_unit]
tests/test_units.py::TestDataset::test_isin[int64-compatible_unit]
tests/test_units.py::TestDataset::test_isin[int64-same_unit]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4378: RuntimeWarning: invalid value encountered in cast
    np.array([4.3, 9.8, 7.5, np.nan, 8.2, np.nan]).astype(dtype)

tests/test_units.py::TestDataset::test_isin[int64-no_unit]
tests/test_units.py::TestDataset::test_isin[int64-dimensionless]
tests/test_units.py::TestDataset::test_isin[int64-incompatible_unit]
tests/test_units.py::TestDataset::test_isin[int64-compatible_unit]
tests/test_units.py::TestDataset::test_isin[int64-same_unit]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4383: RuntimeWarning: invalid value encountered in cast
    raw_values = np.array([1.4, np.nan, 2.3]).astype(dtype)

tests/test_units.py::TestDataset::test_interpolate_na[int64]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4459: RuntimeWarning: invalid value encountered in cast
    np.array([1.4, np.nan, 2.3, np.nan, np.nan, 9.1]).astype(dtype)

tests/test_units.py::TestDataset::test_interpolate_na[int64]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:4463: RuntimeWarning: invalid value encountered in cast
    np.array([4.3, 9.8, 7.5, np.nan, 8.2, np.nan]).astype(dtype)

tests/test_units.py::TestDataset::test_resample[float64-data]
tests/test_units.py::TestDataset::test_resample[float64-coords]
tests/test_units.py::TestDataset::test_resample[int64-data]
tests/test_units.py::TestDataset::test_resample[int64-coords]
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:5410: FutureWarning: 'y' is deprecated and will be removed in a future version, please use 'YE' instead.
    t = pd.date_range("10-09-2010", periods=array1.shape[0], freq="1y")

tests/test_variable.py::TestIndexVariable::test_to_index_multiindex_level
  /builddir/build/BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2381: FutureWarning: the `pandas.MultiIndex` object(s) passed as 'x' coordinate(s) or data variable(s) will no longer be implicitly promoted and wrapped into multiple indexed coordinates in the future (i.e., one coordinate for each multi-index level + one dimension coordinate). If you want to keep this behavior, you need to first wrap it explicitly using `mindex_coords = xarray.Coordinates.from_pandas_multiindex(mindex_obj, 'dim')` and pass it as coordinates, e.g., `xarray.Dataset(coords=mindex_coords)`, `dataset.assign_coords(mindex_coords)` or `dataarray.assign_coords(mindex_coords)`.
    ds = Dataset(coords={"x": midx})

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_cupy.py:9: could not import 'cupy': No module named 'cupy'
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_distributed.py:17: could not import 'distributed': No module named 'distributed'
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_sparse.py:20: could not import 'sparse': No module named 'sparse'
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:4286: requires pydap.client
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:4319: requires pydap.client
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:4328: requires pydap.client
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:271: requires Nio
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:338: requires Nio
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:374: requires Nio
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:380: requires Nio
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:413: requires Nio
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:432: requires Nio
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:443: requires Nio
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SKIPPED [2] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:1764: https://github.com/Unidata/netcdf4-python/issues/1195
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SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_backends.py:3828: could not import 'aiobotocore': No module named 'aiobotocore'
SKIPPED [8] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_coarsen.py:244: These parameters lead to all-NaN slices
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SKIPPED [10] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:5573: indexes don't support units
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:5647: pint didn't support dask properly before 0.21
SKIPPED [2] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:5388: indexes don't support units
SKIPPED [10] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:5430: indexes don't support units
SKIPPED [32] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_units.py:5486: indexes don't support units
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2465: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2469: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2473: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2477: unconditional skip
SKIPPED [45] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2481: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2500: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2504: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2508: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2512: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2516: unconditional skip
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2520: unconditional skip
SKIPPED [2] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2854: requires sparse
SKIPPED [2] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2868: requires cupy
SKIPPED [72] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_weighted.py:298: `method` argument is not currently exposed
SKIPPED [1] ../../BUILDROOT/python-xarray-2023.9.0-3.fc40.x86_64/usr/lib/python3.12/site-packages/xarray/tests/test_variable.py:2359: requires sparse
XFAIL tests/test_backends.py::TestNetCDF4Data::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestNetCDF4ViaDaskData::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestZarrDictStore::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestScipyInMemoryData::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestScipyFileObject::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestScipyFilePath::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_backends.py::TestGenericNetCDFData::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_combine.py::TestNestedCombine::test_nested_concat_too_many_dims_at_once
XFAIL tests/test_dataarray.py::TestReduce2D::test_idxmax[dask-datetime] - reason: dask operation 'argmax' breaks when dtype is datetime64 (M)
XFAIL tests/test_dataset.py::TestDataset::test_copy_coords[True-expected_orig0]
XFAIL tests/test_dataset.py::TestDataset::test_copy_coords[False-expected_orig1]
XFAIL tests/test_conventions.py::TestCFEncodedDataStore::test_roundtrip_mask_and_scale[create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data] - Bad _Unsigned attribute.
XFAIL tests/test_dask.py::TestToDaskDataFrame::test_to_dask_dataframe_2D_set_index
XFAIL tests/test_dataarray.py::TestDataArray::test_astype_subok - reason: DataArray cannot be backed yet by a subclasses of np.ndarray
XFAIL tests/test_dataarray.py::TestDataArray::test_copy_coords[True-expected_orig0]
XFAIL tests/test_dataarray.py::TestDataArray::test_copy_coords[False-expected_orig1]
XFAIL tests/test_dataarray.py::TestReduce1D::test_idxmin[True-datetime] - reason: dask operation 'argmin' breaks when dtype is datetime64 (M)
XFAIL tests/test_dataarray.py::TestReduce1D::test_idxmax[True-datetime] - reason: dask operation 'argmax' breaks when dtype is datetime64 (M)
XFAIL tests/test_dataarray.py::TestReduce2D::test_idxmin[dask-datetime] - reason: dask operation 'argmin' breaks when dtype is datetime64 (M)
XFAIL tests/test_interp.py::test_datetime[2000-01-01T12:00-0.5]
XFAIL tests/test_missing.py::test_interpolate_na_2d[None]
XFAIL tests/test_units.py::test_replication_full_like_dataarray[float64-coords] - can't copy quantity into non-quantity
XFAIL tests/test_units.py::test_replication_full_like_dataarray[int64-coords] - can't copy quantity into non-quantity
XFAIL tests/test_units.py::test_replication_full_like_dataset[float64-coords] - can't copy quantity into non-quantity
XFAIL tests/test_units.py::test_replication_full_like_dataset[int64-coords] - can't copy quantity into non-quantity
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[float64-function_searchsorted-no_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[float64-function_searchsorted-dimensionless] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[float64-function_searchsorted-incompatible_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[float64-function_searchsorted-compatible_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[float64-function_searchsorted-identical_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[int64-function_searchsorted-no_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[int64-function_searchsorted-dimensionless] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[int64-function_searchsorted-incompatible_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[float64-10-coords-no_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[int64-function_searchsorted-compatible_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[float64-10-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[float64-10-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_searchsorted[int64-function_searchsorted-identical_unit] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[float64-10-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[float64-10-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[float64-no_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[float64-dimensionless-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[float64-value1-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[float64-value1-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[float64-value1-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[float64-incompatible_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[float64-value1-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[float64-compatible_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[int64-10-coords-no_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[int64-10-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[int64-10-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[float64-identical_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[int64-10-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[int64-10-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[int64-no_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[int64-dimensionless-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[int64-value1-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[int64-value1-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataarray[int64-value1-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[int64-incompatible_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataarray[int64-value1-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[int64-compatible_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataset[float64-10-coords-no_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[float64-10-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_numpy_methods_with_args[int64-identical_unit-function_clip] - xarray does not implement __array_function__
XFAIL tests/test_units.py::test_align_dataset[float64-10-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[float64-10-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[float64-10-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_missing_value_filling[float64-method_ffill] - ffill and bfill lose units in data
XFAIL tests/test_units.py::TestDataArray::test_missing_value_filling[float64-method_bfill] - ffill and bfill lose units in data
XFAIL tests/test_units.py::test_align_dataset[float64-value1-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[float64-value1-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[float64-value1-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[float64-value1-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_missing_value_filling[int64-method_ffill] - ffill and bfill lose units in data
XFAIL tests/test_units.py::test_align_dataset[int64-10-coords-no_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[int64-10-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_missing_value_filling[int64-method_bfill] - ffill and bfill lose units in data
XFAIL tests/test_units.py::test_align_dataset[int64-10-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[int64-10-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[int64-10-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[int64-value1-coords-dimensionless] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[int64-value1-coords-incompatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[int64-value1-coords-compatible_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::test_align_dataset[int64-value1-coords-identical_unit] - reason: fill_value is used for both data variables and coords. See https://github.com/pydata/xarray/issues/4165
XFAIL tests/test_units.py::TestDataArray::test_interpolate_na - uses numpy.vectorize
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex[float64-method_interp-data] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex[float64-method_interp-coords] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex[int64-method_interp-data] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex[int64-method_interp-coords] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex_like[float64-method_interp_like-data] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex_like[float64-method_interp_like-coords] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex_like[int64-method_interp_like-data] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_interp_reindex_like[int64-method_interp_like-coords] - uses scipy
XFAIL tests/test_units.py::TestDataArray::test_bivariate_ufunc[float64-compatible_unit] - needs the type register system for __array_ufunc__
XFAIL tests/test_units.py::TestDataArray::test_bivariate_ufunc[int64-compatible_unit] - needs the type register system for __array_ufunc__
XFAIL tests/test_units.py::TestDataArray::test_computation_objects[float64-method_rolling-data] - numpy.lib.stride_tricks.as_strided converts to ndarray
XFAIL tests/test_units.py::TestDataArray::test_computation_objects[int64-method_rolling-data] - numpy.lib.stride_tricks.as_strided converts to ndarray
XFAIL tests/test_units.py::TestDataArray::test_computation_objects[int64-method_rolling_exp-data] - numbagg functions are not supported by pint
XFAIL tests/test_units.py::TestDataArray::test_computation_objects[int64-method_rolling_exp-coords] - numbagg functions are not supported by pint
XFAIL tests/test_units.py::TestDataArray::test_computation_objects[float64-method_rolling_exp-data] - numbagg functions are not supported by pint
XFAIL tests/test_units.py::TestDataArray::test_computation_objects[float64-method_rolling_exp-coords] - numbagg functions are not supported by pint
XFAIL tests/test_units.py::TestDataset::test_to_stacked_array[float64] - stacked dimension's labels have to be hashable, but is a numpy.array
XFAIL tests/test_units.py::TestDataset::test_to_stacked_array[int64] - stacked dimension's labels have to be hashable, but is a numpy.array
XFAIL tests/test_units.py::TestDataset::test_missing_value_filling[float64-method_ffill] - ffill and bfill lose the unit
XFAIL tests/test_units.py::TestDataset::test_missing_value_filling[float64-method_bfill] - ffill and bfill lose the unit
XFAIL tests/test_units.py::TestDataset::test_interp_reindex[float64-method_interp-data] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_missing_value_filling[int64-method_ffill] - ffill and bfill lose the unit
XFAIL tests/test_units.py::TestDataset::test_interp_reindex[float64-method_interp-coords] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_missing_value_filling[int64-method_bfill] - ffill and bfill lose the unit
XFAIL tests/test_units.py::TestDataset::test_interp_reindex[int64-method_interp-data] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_interp_reindex[int64-method_interp-coords] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_interp_reindex_like[float64-method_interp_like-data] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_interp_reindex_like[float64-method_interp_like-coords] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_interp_reindex_like[int64-method_interp_like-data] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_interp_reindex_like[int64-method_interp_like-coords] - uses scipy
XFAIL tests/test_units.py::TestDataset::test_computation_objects[float64-data-method_rolling] - strips units
XFAIL tests/test_units.py::TestDataset::test_interpolate_na[float64] - interpolate_na uses numpy.vectorize
XFAIL tests/test_units.py::TestDataset::test_computation_objects[float64-data-method_rolling_exp] - numbagg functions are not supported by pint
XFAIL tests/test_units.py::TestDataset::test_interpolate_na[int64] - interpolate_na uses numpy.vectorize
XFAIL tests/test_units.py::TestDataset::test_computation_objects[float64-coords-method_rolling_exp] - numbagg functions are not supported by pint
XFAIL tests/test_units.py::TestPlots::test_units_in_line_plot_labels[coord_unit1-coord_attrs1] - indexes don't support units
XFAIL tests/test_units.py::TestDataset::test_computation_objects[int64-data-method_rolling] - strips units
XFAIL tests/test_units.py::TestPlots::test_units_in_slice_line_plot_labels_sel[coord_unit1-coord_attrs1] - indexes don't support units
XFAIL tests/test_units.py::TestDataset::test_computation_objects[int64-data-method_rolling_exp] - numbagg functions are not supported by pint
XFAIL tests/test_units.py::TestPlots::test_units_in_slice_line_plot_labels_isel[coord_unit1-coord_attrs1] - pint.errors.UnitStrippedWarning
XFAIL tests/test_units.py::TestDataset::test_computation_objects[int64-coords-method_rolling_exp] - numbagg functions are not supported by pint
XFAIL tests/test_variable.py::TestVariable::test_timedelta64_valid_range - pandas issue 36615
XFAIL tests/test_variable.py::TestVariableWithDask::test_timedelta64_valid_range - pandas issue 36615
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg0-np_arg0-median] - median is not implemented by Dask
XFAIL tests/test_variable.py::TestIndexVariable::test_timedelta64_valid_range - pandas issue 36615
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg1-np_arg1-median] - median is not implemented by Dask
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg2-np_arg2-median] - median is not implemented by Dask
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg2-np_arg2-reflect] - dask.array.pad bug
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg3-np_arg3-median] - median is not implemented by Dask
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg3-np_arg3-reflect] - dask.array.pad bug
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg4-np_arg4-median] - median is not implemented by Dask
XFAIL tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg4-np_arg4-reflect] - dask.array.pad bug
XFAIL tests/test_variable.py::TestVariableWithDask::test_0d_object_array_with_list
XFAIL tests/test_variable.py::TestVariableWithDask::test_array_interface
XFAIL tests/test_variable.py::TestVariableWithDask::test_copy_index
XPASS tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestNetCDF4ViaDaskData::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestZarrDictStore::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestZarrDictStore::test_dataset_caching Zarr caching not implemented
XPASS tests/test_backends.py::TestZarrDirectoryStore::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestZarrDirectoryStore::test_dataset_caching Zarr caching not implemented
XPASS tests/test_backends.py::TestZarrWriteEmpty::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestZarrWriteEmpty::test_dataset_caching Zarr caching not implemented
XPASS tests/test_backends.py::TestScipyInMemoryData::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestScipyFileObject::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestScipyFilePath::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestDask::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_backends.py::TestDask::test_encoding_mfdataset mfdataset loses encoding currently.
XPASS tests/test_backends.py::TestDask::test_save_mfdataset_compute_false_roundtrip 
XPASS tests/test_cftimeindex.py::test_multiindex https://github.com/pandas-dev/pandas/issues/24263
XPASS tests/test_conventions.py::TestCFEncodedDataStore::test_vectorized_indexing_negative_step zarr without dask handles negative steps in slices incorrectly
XPASS tests/test_options.py::TestAttrRetention::test_merge_attr_retention 
XPASS tests/test_rolling.py::TestDatasetRolling::test_raise_no_warning_dask_rolling_assert_close[numpy-mean-2] See https://github.com/pydata/xarray/pull/4369 or docstring
XPASS tests/test_rolling.py::TestDatasetRolling::test_raise_no_warning_dask_rolling_assert_close[numpy-max-2] See https://github.com/pydata/xarray/pull/4369 or docstring
XPASS tests/test_rolling.py::TestDatasetRolling::test_raise_no_warning_dask_rolling_assert_close[dask-mean-2] See https://github.com/pydata/xarray/pull/4369 or docstring
XPASS tests/test_rolling.py::TestDatasetRolling::test_raise_no_warning_dask_rolling_assert_close[dask-max-2] See https://github.com/pydata/xarray/pull/4369 or docstring
XPASS tests/test_units.py::TestVariable::test_computation[float64-method_rolling_window] converts to ndarray
XPASS tests/test_units.py::TestVariable::test_computation[int64-method_rolling_window] converts to ndarray
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[float64-without_unit] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[float64-dimensionless] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[float64-incompatible_unit] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[float64-identical_unit] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[int64-without_unit] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[int64-dimensionless] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[int64-incompatible_unit] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_bivariate_ufunc[int64-identical_unit] needs the type register system for __array_ufunc__
XPASS tests/test_units.py::TestDataArray::test_computation_objects[float64-method_rolling-coords] numpy.lib.stride_tricks.as_strided converts to ndarray
XPASS tests/test_units.py::TestDataArray::test_computation_objects[int64-method_rolling-coords] numpy.lib.stride_tricks.as_strided converts to ndarray
XPASS tests/test_units.py::TestDataset::test_computation_objects[float64-coords-method_rolling] strips units
XPASS tests/test_units.py::TestDataset::test_computation_objects[int64-coords-method_rolling] strips units
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg0-np_arg0-median] median is not implemented by Dask
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg0-np_arg0-reflect] dask.array.pad bug
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg0-np_arg0-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg1-np_arg1-median] median is not implemented by Dask
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg1-np_arg1-reflect] dask.array.pad bug
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg1-np_arg1-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg2-np_arg2-median] median is not implemented by Dask
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg2-np_arg2-reflect] dask.array.pad bug
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg2-np_arg2-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg3-np_arg3-median] median is not implemented by Dask
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg3-np_arg3-reflect] dask.array.pad bug
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg3-np_arg3-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg4-np_arg4-median] median is not implemented by Dask
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg4-np_arg4-reflect] dask.array.pad bug
XPASS tests/test_variable.py::TestVariable::test_pad[xr_arg4-np_arg4-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg0-np_arg0-reflect] dask.array.pad bug
XPASS tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg0-np_arg0-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg1-np_arg1-reflect] dask.array.pad bug
XPASS tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg1-np_arg1-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg2-np_arg2-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg3-np_arg3-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg4-np_arg4-linear_ramp] pint bug: https://github.com/hgrecco/pint/issues/1026
XPASS tests/test_variable.py::TestVariableWithDask::test_eq_all_dtypes 
XPASS tests/test_variable.py::TestVariableWithDask::test_multiindex https://github.com/pydata/xarray/issues/6209#issuecomment-1025116203
FAILED tests/test_calendar_ops.py::test_convert_calendar_missing[noleap-proleptic_gregorian-4H]
FAILED tests/test_cftimeindex_resample.py::test_resample[None-5S-None-right-8003D->4001D]
FAILED tests/test_cftimeindex_resample.py::test_resample[None-5S-left-right-8003D->4001D]
FAILED tests/test_cftimeindex_resample.py::test_resample[None-5S-right-right-8003D->4001D]
FAILED tests/test_cftime_offsets.py::test_date_range_like[2020-02-01-4M-standard-noleap-None-2020-02-28-False]
FAILED tests/test_cftime_offsets.py::test_date_range_like[2020-02-01-M-noleap-gregorian-True-2020-02-29-True]
FAILED tests/test_cftime_offsets.py::test_date_range_like[2020-02-28-3H-all_leap-gregorian-False-2020-02-28-True]
FAILED tests/test_cftime_offsets.py::test_date_range_like[2020-03-30-M-360_day-gregorian-False-2020-03-31-True]
FAILED tests/test_cftime_offsets.py::test_date_range_like[2020-03-31-M-gregorian-360_day-None-2020-03-30-False]
FAILED tests/test_computation.py::test_cross[a5-b5-ae5-be5-cartesian--1-True]
FAILED tests/test_computation.py::test_cross[a6-b6-ae6-be6-cartesian--1-True]
FAILED tests/test_dask.py::TestToDaskDataFrame::test_to_dask_dataframe_2D - A...
FAILED tests/test_dask.py::TestToDaskDataFrame::test_to_dask_dataframe_not_daskarray
FAILED tests/test_dask.py::test_map_blocks_da_ds_with_template[obj0] - ValueE...
FAILED tests/test_dask.py::test_map_blocks_da_ds_with_template[obj1] - ValueE...
FAILED tests/test_dask.py::test_map_blocks_template_convert_object - ValueErr...
FAILED tests/test_dask.py::test_map_blocks_errors_bad_template[obj0] - Assert...
FAILED tests/test_dask.py::test_map_blocks_errors_bad_template[obj1] - Assert...
FAILED tests/test_units.py::TestDataArray::test_unary_operations[float64-round]
FAILED tests/test_units.py::TestDataArray::test_unary_operations[int64-round]
= 20 failed, 14772 passed, 1877 skipped, 145 xfailed, 62 xpassed, 1153 warnings in 325.39s (0:05:25) =
error: Bad exit status from /var/tmp/rpm-tmp.wWmo6P (%check)
    Bad exit status from /var/tmp/rpm-tmp.wWmo6P (%check)

RPM build errors:
Finish: rpmbuild python-xarray-2023.9.0-3.fc40.src.rpm
Finish: build phase for python-xarray-2023.9.0-3.fc40.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-40-x86_64-1736348094.493736/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-xarray-2023.9.0-3.fc40.src.rpm) Config(fedora-40-x86_64) 6 minutes 26 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 777b79009f954b16a91f018d12845704 -D /var/lib/mock/fedora-40-x86_64-1736348094.493736/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.pbjng6gb:/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-xarray.spec'

Copr build error: Build failed