Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c188' (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/8477118-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64 Version: 1.2 PID: 16694 Logging PID: 16695 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 8477118, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '90c73a240de4b7aa6b57ebe1135a69fef28742b3', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/dmalcolm/gcc-15-smoketest-3.failed/python-pywt', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-pywt', 'package_version': '1.3.0-9', 'project_dirname': 'gcc-15-smoketest-3.failed', 'project_name': 'gcc-15-smoketest-3.failed', 'project_owner': 'dmalcolm', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/dmalcolm/gcc-15-smoketest-3.failed/fedora-rawhide-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'https://fedorapeople.org/~dmalcolm/gcc/gcc-15-mass-prebuild/$basearch', 'id': 'https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch', 'name': 'Additional repo https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch'}], 'sandbox': 'dmalcolm/gcc-15-smoketest-3.failed--dmalcolm', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': 0, 'submitter': 'dmalcolm', 'tags': [], 'task_id': '8477118-fedora-rawhide-x86_64', 'timeout': 115200, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/dmalcolm/gcc-15-smoketest-3.failed/python-pywt /var/lib/copr-rpmbuild/workspace/workdir-iti58jr9/python-pywt --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/dmalcolm/gcc-15-smoketest-3.failed/python-pywt', '/var/lib/copr-rpmbuild/workspace/workdir-iti58jr9/python-pywt', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-iti58jr9/python-pywt'... Running: git checkout 90c73a240de4b7aa6b57ebe1135a69fef28742b3 -- cmd: ['git', 'checkout', '90c73a240de4b7aa6b57ebe1135a69fef28742b3', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-iti58jr9/python-pywt rc: 0 stdout: stderr: Note: switching to '90c73a240de4b7aa6b57ebe1135a69fef28742b3'. 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 Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at 90c73a2 automatic import of python-pywt Running: dist-git-client sources /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=115200): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-iti58jr9/python-pywt/python-pywt.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-iti58jr9/python-pywt --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1736229982.287799 -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-iti58jr9/python-pywt/python-pywt.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-iti58jr9/python-pywt --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1736229982.287799 -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-iti58jr9/python-pywt/python-pywt.spec) Config(fedora-rawhide-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-rawhide-x86_64-bootstrap-1736229982.287799/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using container image: registry.fedoraproject.org/fedora:rawhide INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide INFO: Tagging container image as mock-bootstrap-710a03cf-ffe8-46dc-986f-fdbc34aa692d INFO: Checking that 3b26c95bbe87cc88f475ce9c0ba4b394bf23541b10bebe9a634c9c8e61f73b10 image matches host's architecture INFO: Copy content of container 3b26c95bbe87cc88f475ce9c0ba4b394bf23541b10bebe9a634c9c8e61f73b10 to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1736229982.287799/root INFO: mounting 3b26c95bbe87cc88f475ce9c0ba4b394bf23541b10bebe9a634c9c8e61f73b10 with podman image mount INFO: image 3b26c95bbe87cc88f475ce9c0ba4b394bf23541b10bebe9a634c9c8e61f73b10 as /var/lib/containers/storage/overlay/d3212d8beae72a97d426f4f4cbc9926037985c9d492b381ad2608549e5b9deb3/merged INFO: umounting image 3b26c95bbe87cc88f475ce9c0ba4b394bf23541b10bebe9a634c9c8e61f73b10 (/var/lib/containers/storage/overlay/d3212d8beae72a97d426f4f4cbc9926037985c9d492b381ad2608549e5b9deb3/merged) with podman image umount INFO: Removing image mock-bootstrap-710a03cf-ffe8-46dc-986f-fdbc34aa692d INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1736229982.287799/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-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-3.fc42.x86_64 dnf5-5.2.8.1-2.fc42.x86_64 dnf5-plugins-5.2.8.1-2.fc42.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: fedora 100% | 951.9 KiB/s | 27.6 KiB | 00m00s Copr repository 100% | 49.4 KiB/s | 1.5 KiB | 00m00s Additional repo https_fedorapeople_org 100% | 25.0 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.37-1.fc42 fedora 8.2 MiB bzip2 x86_64 1.0.8-19.fc41 fedora 95.7 KiB coreutils x86_64 9.5-11.fc42 copr_base 5.5 MiB cpio x86_64 2.15-2.fc41 fedora 1.1 MiB diffutils x86_64 3.10-8.fc41 fedora 1.6 MiB fedora-release-common noarch 42-0.11 fedora 19.8 KiB findutils x86_64 1:4.10.0-4.fc41 fedora 1.8 MiB gawk x86_64 5.3.0-4.fc41 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.40.9000-26.fc42 fedora 0.0 B grep x86_64 3.11-9.fc41 fedora 1.0 MiB gzip x86_64 1.13-2.fc41 fedora 389.0 KiB info x86_64 7.1.1-2.fc42 fedora 361.8 KiB patch x86_64 2.7.6-25.fc41 fedora 266.7 KiB redhat-rpm-config noarch 300-1.no_annobin.0.fc42 copr_base 186.6 KiB rpm-build x86_64 4.20.0-1.fc42 fedora 194.3 KiB sed x86_64 4.9-3.fc41 fedora 861.5 KiB shadow-utils x86_64 2:4.17.0-2.fc42 fedora 4.0 MiB tar x86_64 2:1.35-4.fc41 fedora 2.9 MiB unzip x86_64 6.0-65.fc42 fedora 398.2 KiB util-linux x86_64 2.40.2-8.fc42 fedora 3.7 MiB which x86_64 2.21-42.fc41 fedora 80.2 KiB xz x86_64 1:5.6.3-2.fc42 fedora 1.2 MiB Installing dependencies: add-determinism x86_64 0.5.0-1.fc42 fedora 2.4 MiB alternatives x86_64 1.31-1.fc42 fedora 64.8 KiB ansible-srpm-macros noarch 1-16.fc41 fedora 35.7 KiB audit-libs x86_64 4.0.2-1.fc41 fedora 331.3 KiB authselect x86_64 1.5.0-8.fc42 fedora 157.5 KiB authselect-libs x86_64 1.5.0-8.fc42 fedora 822.2 KiB basesystem noarch 11-21.fc41 fedora 0.0 B binutils x86_64 2.43.50-9.fc42 fedora 25.8 MiB build-reproducibility-srpm-macros noarch 0.5.0-1.fc42 fedora 735.0 B bzip2-libs x86_64 1.0.8-19.fc41 fedora 80.7 KiB ca-certificates noarch 2024.2.69_v8.0.401-4.fc42 fedora 2.6 MiB coreutils-common x86_64 9.5-11.fc42 copr_base 11.2 MiB cracklib x86_64 2.9.11-6.fc41 fedora 238.9 KiB crypto-policies noarch 20241128-1.gitbb7b0b0.fc42 fedora 137.3 KiB curl x86_64 8.11.1-2.fc42 fedora 452.0 KiB cyrus-sasl-lib x86_64 2.1.28-27.fc41 fedora 2.3 MiB debugedit x86_64 5.1-2.fc42 fedora 200.3 KiB dwz x86_64 0.15-8.fc42 fedora 299.2 KiB ed x86_64 1.20.2-2.fc41 fedora 146.9 KiB efi-srpm-macros noarch 5-13.fc42 fedora 40.2 KiB elfutils x86_64 0.192-7.fc42 fedora 2.6 MiB elfutils-debuginfod-client x86_64 0.192-7.fc42 fedora 81.4 KiB elfutils-default-yama-scope noarch 0.192-7.fc42 fedora 1.8 KiB elfutils-libelf x86_64 0.192-7.fc42 fedora 1.2 MiB elfutils-libs x86_64 0.192-7.fc42 fedora 662.9 KiB fedora-gpg-keys noarch 42-0.3 fedora 126.4 KiB fedora-release noarch 42-0.11 fedora 0.0 B fedora-release-identity-basic noarch 42-0.11 fedora 719.0 B fedora-repos noarch 42-0.3 fedora 4.9 KiB fedora-repos-rawhide noarch 42-0.3 fedora 2.2 KiB file x86_64 5.45-8.fc42 fedora 103.7 KiB file-libs x86_64 5.45-8.fc42 fedora 9.9 MiB filesystem x86_64 3.18-29.fc42 fedora 106.0 B filesystem-srpm-macros noarch 3.18-29.fc42 fedora 36.1 KiB fonts-srpm-macros noarch 1:2.0.5-17.fc41 fedora 55.8 KiB forge-srpm-macros noarch 0.4.0-1.fc42 fedora 38.9 KiB fpc-srpm-macros noarch 1.3-13.fc41 fedora 144.0 B gdb-minimal x86_64 15.2-4.fc42 fedora 12.7 MiB gdbm x86_64 1:1.23-7.fc41 fedora 460.9 KiB gdbm-libs x86_64 1:1.23-7.fc41 fedora 121.9 KiB ghc-srpm-macros noarch 1.9.2-1.fc42 fedora 779.0 B glibc x86_64 2.40.9000-26.fc42 fedora 6.7 MiB glibc-common x86_64 2.40.9000-26.fc42 fedora 1.0 MiB glibc-gconv-extra x86_64 2.40.9000-26.fc42 fedora 8.0 MiB gmp x86_64 1:6.3.0-2.fc41 fedora 811.4 KiB gnat-srpm-macros noarch 6-6.fc41 fedora 1.0 KiB go-srpm-macros noarch 3.6.0-5.fc42 fedora 60.8 KiB jansson x86_64 2.14-1.fc42 fedora 93.1 KiB json-c x86_64 0.18-1.fc42 fedora 83.3 KiB kernel-srpm-macros noarch 1.0-24.fc41 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-4.fc41 fedora 54.4 KiB krb5-libs x86_64 1.21.3-3.fc42 fedora 2.3 MiB libacl x86_64 2.3.2-2.fc41 fedora 40.0 KiB libarchive x86_64 3.7.7-1.fc42 fedora 932.3 KiB libattr x86_64 2.5.2-4.fc41 fedora 28.5 KiB libblkid x86_64 2.40.2-8.fc42 fedora 262.5 KiB libbrotli x86_64 1.1.0-5.fc41 fedora 837.6 KiB libcap x86_64 2.71-1.fc42 fedora 210.8 KiB libcap-ng x86_64 0.8.5-3.fc41 fedora 69.2 KiB libcom_err x86_64 1.47.1-6.fc42 fedora 67.2 KiB libcurl x86_64 8.11.1-2.fc42 fedora 817.3 KiB libeconf x86_64 0.7.5-1.fc42 fedora 66.7 KiB libevent x86_64 2.1.12-14.fc41 fedora 895.7 KiB libfdisk x86_64 2.40.2-8.fc42 fedora 362.9 KiB libffi x86_64 3.4.6-3.fc42 fedora 86.4 KiB libgcc x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 266.9 KiB libgomp x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 529.3 KiB libidn2 x86_64 2.3.7-2.fc41 fedora 329.1 KiB libmount x86_64 2.40.2-8.fc42 fedora 355.8 KiB libnghttp2 x86_64 1.64.0-1.fc42 fedora 174.5 KiB libnsl2 x86_64 2.0.1-2.fc41 fedora 57.9 KiB libpkgconf x86_64 2.3.0-1.fc42 fedora 78.2 KiB libpsl x86_64 0.21.5-4.fc41 fedora 80.5 KiB libpwquality x86_64 1.4.5-11.fc41 fedora 417.8 KiB libselinux x86_64 3.8-0.rc3.1.fc42 fedora 191.6 KiB libsemanage x86_64 3.8-0.rc3.1.fc42 fedora 305.3 KiB libsepol x86_64 3.8-0.rc3.1.fc42 fedora 812.3 KiB libsmartcols x86_64 2.40.2-8.fc42 fedora 180.4 KiB libssh x86_64 0.11.1-1.fc42 fedora 569.6 KiB libssh-config noarch 0.11.1-1.fc42 fedora 277.0 B libstdc++ x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 2.7 MiB libtasn1 x86_64 4.19.0-9.fc41 fedora 175.7 KiB libtirpc x86_64 1.3.6-1.rc3.fc42 fedora 197.6 KiB libtool-ltdl x86_64 2.5.4-1.fc42 copr_base 68.1 KiB libunistring x86_64 1.1-8.fc41 fedora 1.7 MiB libuuid x86_64 2.40.2-8.fc42 fedora 41.4 KiB libverto x86_64 0.3.2-9.fc41 fedora 29.5 KiB libxcrypt x86_64 4.4.37-4.fc42 fedora 269.6 KiB libxml2 x86_64 2.12.9-1.fc42 fedora 1.7 MiB libzstd x86_64 1.5.6-2.fc41 fedora 795.9 KiB lua-libs x86_64 5.4.7-1.fc42 fedora 285.0 KiB lua-srpm-macros noarch 1-14.fc41 fedora 1.3 KiB lz4-libs x86_64 1.10.0-1.fc41 fedora 145.5 KiB mpfr x86_64 4.2.1-5.fc41 fedora 832.1 KiB ncurses-base noarch 6.5-2.20240629.fc41 fedora 326.3 KiB ncurses-libs x86_64 6.5-2.20240629.fc41 fedora 975.2 KiB ocaml-srpm-macros noarch 10-3.fc41 fedora 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 fedora 112.0 B openldap x86_64 2.6.8-6.fc42 fedora 647.4 KiB openssl-libs x86_64 1:3.2.2-10.fc42 fedora 7.7 MiB p11-kit x86_64 0.25.5-4.fc42 fedora 2.2 MiB p11-kit-trust x86_64 0.25.5-4.fc42 fedora 403.8 KiB package-notes-srpm-macros noarch 0.5-12.fc41 fedora 1.6 KiB pam x86_64 1.7.0-3.fc42 fedora 1.8 MiB pam-libs x86_64 1.7.0-3.fc42 fedora 139.4 KiB pcre2 x86_64 10.44-1.fc41.1 fedora 653.5 KiB pcre2-syntax noarch 10.44-1.fc41.1 fedora 251.6 KiB perl-srpm-macros noarch 1-56.fc41 fedora 861.0 B pkgconf x86_64 2.3.0-1.fc42 fedora 88.6 KiB pkgconf-m4 noarch 2.3.0-1.fc42 fedora 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-1.fc42 fedora 989.0 B popt x86_64 1.19-7.fc41 fedora 136.9 KiB publicsuffix-list-dafsa noarch 20240107-4.fc41 fedora 67.5 KiB pyproject-srpm-macros noarch 1.16.3-1.fc42 fedora 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 fedora 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc42 fedora 500.0 B qt6-srpm-macros noarch 6.8.1-4.fc42 fedora 456.0 B readline x86_64 8.2-11.fc42 fedora 493.1 KiB rpm x86_64 4.20.0-1.fc42 fedora 3.1 MiB rpm-build-libs x86_64 4.20.0-1.fc42 fedora 206.7 KiB rpm-libs x86_64 4.20.0-1.fc42 fedora 726.1 KiB rpm-sequoia x86_64 1.7.0-3.fc42 fedora 2.3 MiB rust-srpm-macros noarch 26.3-3.fc42 fedora 4.8 KiB setup noarch 2.15.0-9.fc42 fedora 720.7 KiB sqlite-libs x86_64 3.47.2-1.fc42 fedora 1.4 MiB systemd-libs x86_64 257.1-1.fc42 fedora 2.2 MiB util-linux-core x86_64 2.40.2-8.fc42 fedora 1.5 MiB xxhash-libs x86_64 0.8.3-1.fc42 fedora 88.5 KiB xz-libs x86_64 1:5.6.3-2.fc42 fedora 218.4 KiB zig-srpm-macros noarch 1-3.fc41 fedora 1.1 KiB zip x86_64 3.0-42.fc42 fedora 695.9 KiB zlib-ng-compat x86_64 2.2.2-1.fc42 fedora 134.0 KiB zstd x86_64 1.5.6-2.fc41 fedora 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 155 packages Total size of inbound packages is 51 MiB. Need to download 0 B. After this operation, 178 MiB extra will be used (install 178 MiB, remove 0 B). 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downloaded -------------------------------------------------------------------------------- [153/153] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/154] libevent-0:2.1.12-14.fc41.x86 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [154/154] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/155] libtool-ltdl-0:2.5.4-1.fc42.x 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [155/155] Total 100% | 0.0 B/s | 0.0 B | 00m00s Running transaction Importing OpenPGP key 0x105EF944: UserID : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. Importing OpenPGP key 0x105EF944: UserID : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. Importing OpenPGP key 0xE99D6AD1: UserID : "Fedora (41) " Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary The key was successfully imported. Importing OpenPGP key 0x31645531: UserID : "Fedora (43) " Fingerprint: C6E7F081CF80E13146676E88829B606631645531 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary The key was successfully imported. 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[112/157] Installing krb5-libs-0:1.21.3 100% | 192.1 MiB/s | 2.3 MiB | 00m00s [113/157] Installing libtirpc-0:1.3.6-1 100% | 97.4 MiB/s | 199.4 KiB | 00m00s [114/157] Installing libnsl2-0:2.0.1-2. 100% | 28.8 MiB/s | 59.1 KiB | 00m00s [115/157] Installing pam-0:1.7.0-3.fc42 100% | 78.9 MiB/s | 1.9 MiB | 00m00s [116/157] Installing libssh-0:0.11.1-1. 100% | 186.1 MiB/s | 571.7 KiB | 00m00s [117/157] Installing libgomp-0:15.0.0-0 100% | 172.7 MiB/s | 530.7 KiB | 00m00s [118/157] Installing rpm-build-libs-0:4 100% | 202.6 MiB/s | 207.5 KiB | 00m00s [119/157] Installing xxhash-libs-0:0.8. 100% | 87.8 MiB/s | 89.9 KiB | 00m00s [120/157] Installing libbrotli-0:1.1.0- 100% | 205.0 MiB/s | 839.9 KiB | 00m00s [121/157] Installing libnghttp2-0:1.64. 100% | 171.5 MiB/s | 175.6 KiB | 00m00s [122/157] Installing libtool-ltdl-0:2.5 100% | 67.6 MiB/s | 69.2 KiB | 00m00s [123/157] Installing openldap-0:2.6.8-6 100% | 159.0 MiB/s | 651.2 KiB | 00m00s [124/157] Installing libcurl-0:8.11.1-2 100% | 199.8 MiB/s | 818.4 KiB | 00m00s [125/157] Installing elfutils-debuginfo 100% | 40.9 MiB/s | 83.8 KiB | 00m00s [126/157] Installing elfutils-0:0.192-7 100% | 240.4 MiB/s | 2.6 MiB | 00m00s [127/157] Installing binutils-0:2.43.50 100% | 274.5 MiB/s | 25.8 MiB | 00m00s [128/157] Installing gdb-minimal-0:15.2 100% | 295.9 MiB/s | 12.7 MiB | 00m00s [129/157] Installing debugedit-0:5.1-2. 100% | 99.1 MiB/s | 203.0 KiB | 00m00s [130/157] Installing curl-0:8.11.1-2.fc 100% | 24.7 MiB/s | 454.5 KiB | 00m00s [131/157] Installing rpm-0:4.20.0-1.fc4 100% | 89.5 MiB/s | 2.5 MiB | 00m00s [132/157] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [133/157] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [134/157] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [135/157] Installing rust-srpm-macros-0 100% | 0.0 B/s | 5.6 KiB | 00m00s [136/157] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [137/157] Installing qt5-srpm-macros-0: 100% | 0.0 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00m00s [151/157] Installing redhat-rpm-config- 100% | 62.9 MiB/s | 193.2 KiB | 00m00s [152/157] Installing rpm-build-0:4.20.0 100% | 49.5 MiB/s | 202.9 KiB | 00m00s [153/157] Installing pyproject-srpm-mac 100% | 1.2 MiB/s | 2.5 KiB | 00m00s [154/157] Installing util-linux-0:2.40. 100% | 92.9 MiB/s | 3.7 MiB | 00m00s [155/157] Installing authselect-0:1.5.0 100% | 39.5 MiB/s | 161.9 KiB | 00m00s [156/157] Installing which-0:2.21-42.fc 100% | 40.2 MiB/s | 82.4 KiB | 00m00s [157/157] Installing info-0:7.1.1-2.fc4 100% | 132.2 KiB/s | 362.2 KiB | 00m03s Warning: skipped OpenPGP checks for 7 packages from repositories: copr_base, https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.5.0-1.fc42.x86_64 alternatives-1.31-1.fc42.x86_64 ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.x86_64 authselect-1.5.0-8.fc42.x86_64 authselect-libs-1.5.0-8.fc42.x86_64 basesystem-11-21.fc41.noarch bash-5.2.37-1.fc42.x86_64 binutils-2.43.50-9.fc42.x86_64 build-reproducibility-srpm-macros-0.5.0-1.fc42.noarch bzip2-1.0.8-19.fc41.x86_64 bzip2-libs-1.0.8-19.fc41.x86_64 ca-certificates-2024.2.69_v8.0.401-4.fc42.noarch coreutils-9.5-11.fc42.x86_64 coreutils-common-9.5-11.fc42.x86_64 cpio-2.15-2.fc41.x86_64 cracklib-2.9.11-6.fc41.x86_64 crypto-policies-20241128-1.gitbb7b0b0.fc42.noarch curl-8.11.1-2.fc42.x86_64 cyrus-sasl-lib-2.1.28-27.fc41.x86_64 debugedit-5.1-2.fc42.x86_64 diffutils-3.10-8.fc41.x86_64 dwz-0.15-8.fc42.x86_64 ed-1.20.2-2.fc41.x86_64 efi-srpm-macros-5-13.fc42.noarch elfutils-0.192-7.fc42.x86_64 elfutils-debuginfod-client-0.192-7.fc42.x86_64 elfutils-default-yama-scope-0.192-7.fc42.noarch elfutils-libelf-0.192-7.fc42.x86_64 elfutils-libs-0.192-7.fc42.x86_64 fedora-gpg-keys-42-0.3.noarch fedora-release-42-0.11.noarch fedora-release-common-42-0.11.noarch fedora-release-identity-basic-42-0.11.noarch fedora-repos-42-0.3.noarch fedora-repos-rawhide-42-0.3.noarch file-5.45-8.fc42.x86_64 file-libs-5.45-8.fc42.x86_64 filesystem-3.18-29.fc42.x86_64 filesystem-srpm-macros-3.18-29.fc42.noarch findutils-4.10.0-4.fc41.x86_64 fonts-srpm-macros-2.0.5-17.fc41.noarch forge-srpm-macros-0.4.0-1.fc42.noarch fpc-srpm-macros-1.3-13.fc41.noarch gawk-5.3.0-4.fc41.x86_64 gdb-minimal-15.2-4.fc42.x86_64 gdbm-1.23-7.fc41.x86_64 gdbm-libs-1.23-7.fc41.x86_64 ghc-srpm-macros-1.9.2-1.fc42.noarch glibc-2.40.9000-26.fc42.x86_64 glibc-common-2.40.9000-26.fc42.x86_64 glibc-gconv-extra-2.40.9000-26.fc42.x86_64 glibc-minimal-langpack-2.40.9000-26.fc42.x86_64 gmp-6.3.0-2.fc41.x86_64 gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-5.fc42.noarch gpg-pubkey-105ef944-65ca83d1 gpg-pubkey-31645531-66b6dccf gpg-pubkey-e99d6ad1-64d2612c grep-3.11-9.fc41.x86_64 gzip-1.13-2.fc41.x86_64 info-7.1.1-2.fc42.x86_64 jansson-2.14-1.fc42.x86_64 json-c-0.18-1.fc42.x86_64 kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.x86_64 krb5-libs-1.21.3-3.fc42.x86_64 libacl-2.3.2-2.fc41.x86_64 libarchive-3.7.7-1.fc42.x86_64 libattr-2.5.2-4.fc41.x86_64 libblkid-2.40.2-8.fc42.x86_64 libbrotli-1.1.0-5.fc41.x86_64 libcap-2.71-1.fc42.x86_64 libcap-ng-0.8.5-3.fc41.x86_64 libcom_err-1.47.1-6.fc42.x86_64 libcurl-8.11.1-2.fc42.x86_64 libeconf-0.7.5-1.fc42.x86_64 libevent-2.1.12-14.fc41.x86_64 libfdisk-2.40.2-8.fc42.x86_64 libffi-3.4.6-3.fc42.x86_64 libgcc-15.0.0-0.2.fc42.x86_64 libgomp-15.0.0-0.2.fc42.x86_64 libidn2-2.3.7-2.fc41.x86_64 libmount-2.40.2-8.fc42.x86_64 libnghttp2-1.64.0-1.fc42.x86_64 libnsl2-2.0.1-2.fc41.x86_64 libpkgconf-2.3.0-1.fc42.x86_64 libpsl-0.21.5-4.fc41.x86_64 libpwquality-1.4.5-11.fc41.x86_64 libselinux-3.8-0.rc3.1.fc42.x86_64 libsemanage-3.8-0.rc3.1.fc42.x86_64 libsepol-3.8-0.rc3.1.fc42.x86_64 libsmartcols-2.40.2-8.fc42.x86_64 libssh-0.11.1-1.fc42.x86_64 libssh-config-0.11.1-1.fc42.noarch libstdc++-15.0.0-0.2.fc42.x86_64 libtasn1-4.19.0-9.fc41.x86_64 libtirpc-1.3.6-1.rc3.fc42.x86_64 libtool-ltdl-2.5.4-1.fc42.x86_64 libunistring-1.1-8.fc41.x86_64 libuuid-2.40.2-8.fc42.x86_64 libverto-0.3.2-9.fc41.x86_64 libxcrypt-4.4.37-4.fc42.x86_64 libxml2-2.12.9-1.fc42.x86_64 libzstd-1.5.6-2.fc41.x86_64 lua-libs-5.4.7-1.fc42.x86_64 lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.x86_64 mpfr-4.2.1-5.fc41.x86_64 ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.x86_64 ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-6.fc42.x86_64 openssl-libs-3.2.2-10.fc42.x86_64 p11-kit-0.25.5-4.fc42.x86_64 p11-kit-trust-0.25.5-4.fc42.x86_64 package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.7.0-3.fc42.x86_64 pam-libs-1.7.0-3.fc42.x86_64 patch-2.7.6-25.fc41.x86_64 pcre2-10.44-1.fc41.1.x86_64 pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc42.x86_64 pkgconf-m4-2.3.0-1.fc42.noarch pkgconf-pkg-config-2.3.0-1.fc42.x86_64 popt-1.19-7.fc41.x86_64 publicsuffix-list-dafsa-20240107-4.fc41.noarch pyproject-srpm-macros-1.16.3-1.fc42.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.15-1.fc42.noarch qt6-srpm-macros-6.8.1-4.fc42.noarch readline-8.2-11.fc42.x86_64 redhat-rpm-config-300-1.no_annobin.0.fc42.noarch rpm-4.20.0-1.fc42.x86_64 rpm-build-4.20.0-1.fc42.x86_64 rpm-build-libs-4.20.0-1.fc42.x86_64 rpm-libs-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-3.fc42.x86_64 rust-srpm-macros-26.3-3.fc42.noarch sed-4.9-3.fc41.x86_64 setup-2.15.0-9.fc42.noarch shadow-utils-4.17.0-2.fc42.x86_64 sqlite-libs-3.47.2-1.fc42.x86_64 systemd-libs-257.1-1.fc42.x86_64 tar-1.35-4.fc41.x86_64 unzip-6.0-65.fc42.x86_64 util-linux-2.40.2-8.fc42.x86_64 util-linux-core-2.40.2-8.fc42.x86_64 which-2.21-42.fc41.x86_64 xxhash-libs-0.8.3-1.fc42.x86_64 xz-5.6.3-2.fc42.x86_64 xz-libs-5.6.3-2.fc42.x86_64 zig-srpm-macros-1-3.fc41.noarch zip-3.0-42.fc42.x86_64 zlib-ng-compat-2.2.2-1.fc42.x86_64 zstd-1.5.6-2.fc41.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1721347200 Wrote: /builddir/build/SRPMS/python-pywt-1.3.0-9.fc42.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1736229982.287799/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-iti58jr9/python-pywt/python-pywt.spec) Config(child) 0 minutes 16 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-pywt-1.3.0-9.fc42.src.rpm) Config(fedora-rawhide-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1736229982.287799/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1736229982.287799/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1736229982.287799/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-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-3.fc42.x86_64 dnf5-5.2.8.1-2.fc42.x86_64 dnf5-plugins-5.2.8.1-2.fc42.x86_64 Finish: chroot init Start: build phase for python-pywt-1.3.0-9.fc42.src.rpm Start: build setup for python-pywt-1.3.0-9.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1721347200 Wrote: /builddir/build/SRPMS/python-pywt-1.3.0-9.fc42.src.rpm Updating and loading repositories: Additional repo https_fedorapeople_org 100% | 24.2 KiB/s | 1.5 KiB | 00m00s fedora 100% | 812.0 KiB/s | 27.6 KiB | 00m00s Copr repository 100% | 34.8 KiB/s | 1.5 KiB | 00m00s Copr repository 100% | 3.8 MiB/s | 354.7 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 109.9 MiB make x86_64 1:4.4.1-9.fc42 fedora 1.8 MiB python3-cython x86_64 3.0.11-2.fc42 fedora 18.0 MiB python3-devel x86_64 3.13.1-2.fc42 fedora 1.8 MiB python3-matplotlib x86_64 3.9.4-2.fc42 copr_base 21.0 MiB python3-numpy x86_64 1:2.2.1-1.fc42 fedora 40.8 MiB python3-numpydoc noarch 1.8.0-1.fc42 fedora 652.6 KiB python3-pytest noarch 8.3.4-1.fc42 fedora 20.8 MiB python3-setuptools noarch 74.1.3-4.fc42 fedora 8.4 MiB python3-sphinx noarch 1:7.3.7-2.fc41 fedora 10.8 MiB xorg-x11-server-Xvfb x86_64 21.1.15-1.fc42 fedora 1.8 MiB Installing dependencies: abattis-cantarell-vf-fonts noarch 0.301-13.fc41 fedora 192.7 KiB annobin-docs noarch 12.80-1.fc42 fedora 98.6 KiB annobin-plugin-gcc x86_64 12.80-1.fc42 fedora 992.8 KiB cairo x86_64 1.18.2-2.fc42 fedora 1.7 MiB cpp x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 37.5 MiB default-fonts-core-sans noarch 4.2-2.fc42 fedora 11.9 KiB dejavu-sans-fonts noarch 2.37-24.fc41 fedora 5.5 MiB expat x86_64 2.6.4-1.fc42 fedora 285.5 KiB flexiblas x86_64 3.4.4-3.fc41 fedora 48.5 KiB flexiblas-netlib x86_64 3.4.4-3.fc41 fedora 10.7 MiB flexiblas-openblas-openmp x86_64 3.4.4-3.fc41 fedora 43.3 KiB fontconfig x86_64 2.15.0-8.fc41 fedora 791.9 KiB fonts-filesystem noarch 1:2.0.5-17.fc41 fedora 0.0 B freetype x86_64 2.13.3-1.fc42 fedora 850.5 KiB fribidi x86_64 1.0.16-1.fc42 fedora 194.5 KiB gcc-plugin-annobin x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 59.6 KiB glib2 x86_64 2.83.0-3.fc42 fedora 14.6 MiB glibc-devel x86_64 2.40.9000-26.fc42 fedora 2.3 MiB gnutls x86_64 3.8.8-1.fc42 fedora 3.2 MiB google-noto-fonts-common noarch 20240901-1.fc42 fedora 17.5 KiB google-noto-sans-vf-fonts noarch 20240901-1.fc42 fedora 1.2 MiB graphite2 x86_64 1.3.14-16.fc41 fedora 192.0 KiB harfbuzz x86_64 10.1.0-2.fc42 fedora 2.7 MiB hwdata noarch 0.390-1.fc42 fedora 9.3 MiB jbigkit-libs x86_64 2.1-30.fc41 fedora 117.6 KiB kernel-headers x86_64 6.13.0-0.rc5.42.fc42 fedora 6.5 MiB lcms2 x86_64 2.16-4.fc41 fedora 424.9 KiB libICE x86_64 1.1.2-1.fc42 fedora 192.2 KiB libSM x86_64 1.2.5-1.fc42 fedora 99.6 KiB libX11 x86_64 1.8.10-2.fc42 fedora 1.3 MiB libX11-common noarch 1.8.10-2.fc42 fedora 1.1 MiB libX11-xcb x86_64 1.8.10-2.fc42 fedora 15.0 KiB libXau x86_64 1.0.12-1.fc42 fedora 75.8 KiB libXdmcp x86_64 1.1.5-2.fc41 fedora 82.3 KiB libXext x86_64 1.3.6-2.fc41 fedora 90.1 KiB libXfont2 x86_64 2.0.7-1.fc41 fedora 338.7 KiB libXft x86_64 2.3.8-7.fc41 fedora 164.5 KiB libXmu x86_64 1.2.1-2.fc41 fedora 191.5 KiB libXrender x86_64 0.9.12-1.fc42 fedora 48.8 KiB libXt x86_64 1.3.1-1.fc42 fedora 432.9 KiB libXxf86vm x86_64 1.1.6-1.fc42 fedora 28.2 KiB libb2 x86_64 0.98.1-12.fc41 fedora 42.2 KiB libdrm x86_64 2.4.124-1.fc42 fedora 397.7 KiB libedit x86_64 3.1-54.20250104cvs.fc42 fedora 239.3 KiB libfontenc x86_64 1.1.8-2.fc41 fedora 67.0 KiB libgfortran x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 3.3 MiB libglvnd x86_64 1:1.7.0-5.fc41 fedora 530.2 KiB libglvnd-glx x86_64 1:1.7.0-5.fc41 fedora 605.5 KiB libimagequant x86_64 4.0.3-5.fc41 fedora 666.7 KiB libjpeg-turbo x86_64 3.1.0-1.fc42 fedora 787.0 KiB liblerc x86_64 4.0.0-7.fc41 fedora 607.5 KiB libmpc x86_64 1.3.1-6.fc41 fedora 164.7 KiB libpciaccess x86_64 0.16-13.fc41 fedora 44.6 KiB libpng x86_64 2:1.6.44-1.fc42 fedora 245.8 KiB libqhull_r x86_64 1:8.0.2-5.fc41 fedora 483.4 KiB libquadmath x86_64 15.0.0-0.2.fc42 https_fedorapeople_org_dmalcolm_gcc_gcc_15_mass_prebuild_basearch 319.5 KiB libraqm x86_64 0.10.1-1.fc42 fedora 32.7 KiB libtiff x86_64 4.7.0-2.fc42 fedora 620.0 KiB libunwind x86_64 1.8.0-5.fc42 fedora 179.5 KiB libwayland-server x86_64 1.23.0-2.fc41 fedora 78.6 KiB libwebp x86_64 1.5.0-1.fc42 fedora 814.4 KiB libxcb x86_64 1.17.0-3.fc42 fedora 1.2 MiB libxcrypt-devel x86_64 4.4.37-4.fc42 fedora 30.5 KiB libxkbfile x86_64 1.1.3-2.fc41 fedora 202.0 KiB libxshmfence x86_64 1.3.2-5.fc42 fedora 12.8 KiB llvm-libs x86_64 19.1.6-2.fc42 fedora 123.0 MiB lm_sensors-libs x86_64 3.6.0-20.fc41 fedora 85.9 KiB mesa-dri-drivers x86_64 24.3.2-1.fc42 fedora 146.3 MiB mesa-filesystem x86_64 24.3.2-1.fc42 fedora 3.6 KiB mesa-libGL x86_64 24.3.2-1.fc42 fedora 415.1 KiB mesa-libgbm x86_64 24.3.2-1.fc42 fedora 80.8 KiB mesa-libglapi x86_64 24.3.2-1.fc42 fedora 162.4 KiB mpdecimal x86_64 2.5.1-16.fc41 fedora 204.9 KiB nettle x86_64 3.10-3.fc41 fedora 793.0 KiB openblas x86_64 0.3.28-2.fc42 fedora 106.6 KiB openblas-openmp x86_64 0.3.28-2.fc42 fedora 39.3 MiB openjpeg x86_64 2.5.3-2.fc42 fedora 451.4 KiB pixman x86_64 0.44.2-1.fc42 fedora 664.5 KiB pyproject-rpm-macros noarch 1.16.3-1.fc42 fedora 113.7 KiB python-pip-wheel noarch 24.3.1-1.fc42 fedora 1.2 MiB python-rpm-macros noarch 3.13-3.fc41 fedora 22.1 KiB python3 x86_64 3.13.1-2.fc42 fedora 30.6 KiB python3-babel noarch 2.16.0-1.fc42 fedora 28.3 MiB python3-cairo x86_64 1.25.1-5.fc41 fedora 492.5 KiB python3-charset-normalizer noarch 3.4.0-1.fc42 fedora 319.9 KiB python3-contourpy x86_64 1.3.1-1.fc42 fedora 821.5 KiB python3-cycler noarch 0.11.0-13.fc41 fedora 37.6 KiB python3-dateutil noarch 1:2.8.2-16.fc41 fedora 879.2 KiB python3-docutils noarch 0.21.2-1.fc42 fedora 4.9 MiB python3-fonttools x86_64 4.55.3-2.fc42 fedora 18.1 MiB python3-idna noarch 3.10-1.fc42 fedora 628.0 KiB python3-imagesize noarch 1.4.1-9.fc41 fedora 35.3 KiB python3-iniconfig noarch 1.1.1-23.fc41 fedora 20.6 KiB python3-jinja2 noarch 3.1.4-5.fc41 fedora 2.9 MiB python3-kiwisolver x86_64 1.4.8-1.fc42 fedora 153.1 KiB python3-libs x86_64 3.13.1-2.fc42 fedora 39.8 MiB python3-markupsafe x86_64 3.0.2-1.fc42 fedora 56.1 KiB python3-matplotlib-data noarch 3.9.4-2.fc42 copr_base 741.5 KiB python3-matplotlib-data-fonts noarch 3.9.4-2.fc42 copr_base 7.9 MiB python3-matplotlib-tk x86_64 3.9.4-2.fc42 copr_base 256.4 KiB python3-numpy-f2py x86_64 1:2.2.1-1.fc42 fedora 2.0 MiB python3-olefile noarch 0.47-5.fc41 fedora 340.4 KiB python3-packaging noarch 24.2-2.fc42 fedora 555.7 KiB python3-pillow x86_64 11.0.0-1.fc42 fedora 3.9 MiB python3-pillow-tk x86_64 11.0.0-1.fc42 fedora 73.0 KiB python3-pluggy noarch 1.5.0-1.fc41 fedora 193.2 KiB python3-pygments noarch 2.18.0-2.fc42 fedora 10.6 MiB python3-pyparsing noarch 3.1.2-7.fc41 fedora 1.0 MiB python3-requests noarch 2.32.3-3.fc41 fedora 485.9 KiB python3-rpm-generators noarch 14-11.fc41 fedora 81.7 KiB python3-rpm-macros noarch 3.13-3.fc41 fedora 6.4 KiB python3-six noarch 1.16.0-23.fc41 fedora 118.3 KiB python3-snowballstemmer noarch 2.2.0-13.fc41 fedora 1.7 MiB python3-sphinx-theme-alabaster noarch 0.7.16-6.fc41 fedora 41.9 KiB python3-tabulate noarch 0.9.0-10.fc41 fedora 342.0 KiB python3-tkinter x86_64 3.13.1-2.fc42 fedora 1.9 MiB python3-urllib3 noarch 2.3.0-1.fc42 fedora 1.0 MiB spirv-tools-libs x86_64 2024.3-4.fc42 fedora 5.4 MiB tcl x86_64 1:8.6.15-6.fc42 fedora 4.2 MiB tk x86_64 1:8.6.15-1.fc42 fedora 3.6 MiB tzdata noarch 2024b-1.fc42 fedora 1.6 MiB xkbcomp x86_64 1.4.7-2.fc41 fedora 217.4 KiB xkeyboard-config noarch 2.43-1.fc42 fedora 6.6 MiB xml-common noarch 0.6.3-65.fc41 fedora 78.4 KiB xorg-x11-server-common x86_64 21.1.15-1.fc42 fedora 127.1 KiB xorg-x11-xauth x86_64 1:1.1.3-2.fc41 fedora 56.2 KiB Transaction Summary: Installing: 137 packages Total size of inbound packages is 199 MiB. Need to download 111 MiB. After this operation, 816 MiB extra will be used (install 816 MiB, remove 0 B). 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Finish: build setup for python-pywt-1.3.0-9.fc42.src.rpm Start: rpmbuild python-pywt-1.3.0-9.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1721347200 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.2hGh19 + umask 022 + cd /builddir/build/BUILD/python-pywt-1.3.0-build + test -d /builddir/build/BUILD/python-pywt-1.3.0-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-pywt-1.3.0-build + /usr/bin/rm -rf /builddir/build/BUILD/python-pywt-1.3.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-pywt-1.3.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-pywt-1.3.0-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.uo5Pv1 + umask 022 + cd /builddir/build/BUILD/python-pywt-1.3.0-build + cd /builddir/build/BUILD/python-pywt-1.3.0-build + rm -rf pywt-1.3.0 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/PyWavelets-1.3.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd pywt-1.3.0 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/python-pywt-almost.patch + /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f + sed -i '1{\@^#!/usr/bin/env python@d}' pywt/tests/test__pywt.py pywt/tests/test_concurrent.py pywt/tests/test_cwt_wavelets.py pywt/tests/test_data.py pywt/tests/test_deprecations.py pywt/tests/test_doc.py pywt/tests/test_dwt_idwt.py pywt/tests/test_functions.py pywt/tests/test_matlab_compatibility.py pywt/tests/test_matlab_compatibility_cwt.py pywt/tests/test_modes.py pywt/tests/test_mra.py pywt/tests/test_multidim.py pywt/tests/test_multilevel.py pywt/tests/test_perfect_reconstruction.py pywt/tests/test_swt.py pywt/tests/test_thresholding.py pywt/tests/test_wavelet.py pywt/tests/test_wp.py pywt/tests/test_wp2d.py pywt/tests/test_wpnd.py + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.SGj2F9 + umask 022 + cd /builddir/build/BUILD/python-pywt-1.3.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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 pywt-1.3.0 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + /usr/bin/python3 setup.py build '--executable=/usr/bin/python3 -sP' --force /builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0/setup.py:14: SetuptoolsDeprecationWarning: The test command is disabled and references to it are deprecated. !! ******************************************************************************** Please remove any references to `setuptools.command.test` in all supported versions of the affected package. This deprecation is overdue, please update your project and remove deprecated calls to avoid build errors in the future. ******************************************************************************** !! from setuptools.command.test import test as TestCommand warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:60:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:144:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:223:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:314:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:389:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:479:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_swt.pyx:102:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_swt.pyx:133:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_swt.pyx:249:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 Compiling pywt/_extensions/_pywt.pyx because it changed. Compiling pywt/_extensions/_dwt.pyx because it changed. Compiling pywt/_extensions/_swt.pyx because it changed. Compiling pywt/_extensions/_cwt.pyx because it changed. [1/4] Cythonizing pywt/_extensions/_cwt.pyx [2/4] Cythonizing pywt/_extensions/_dwt.pyx [3/4] Cythonizing pywt/_extensions/_pywt.pyx [4/4] Cythonizing pywt/_extensions/_swt.pyx /usr/lib/python3.13/site-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running build running build_py creating build creating build/lib.linux-x86_64-cpython-313 creating build/lib.linux-x86_64-cpython-313/pywt copying pywt/__init__.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_cwt.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_doc_utils.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_dwt.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_functions.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_mra.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_multidim.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_multilevel.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_pytest.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_pytesttester.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_swt.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_thresholding.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_utils.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_wavelet_packets.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/conftest.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/_c99_config.py -> build/lib.linux-x86_64-cpython-313/pywt copying pywt/version.py -> build/lib.linux-x86_64-cpython-313/pywt creating build/lib.linux-x86_64-cpython-313/pywt/_extensions copying pywt/_extensions/__init__.py -> build/lib.linux-x86_64-cpython-313/pywt/_extensions creating build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/__init__.py -> build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/_readers.py -> build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/_wavelab_signals.py -> build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/create_dat.py -> build/lib.linux-x86_64-cpython-313/pywt/data creating build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test__pywt.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_concurrent.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_cwt_wavelets.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_data.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_deprecations.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_doc.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_dwt_idwt.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_functions.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_matlab_compatibility.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_matlab_compatibility_cwt.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_modes.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_mra.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_multidim.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_multilevel.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_perfect_reconstruction.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_swt.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_thresholding.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_wavelet.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_wp.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_wp2d.py -> build/lib.linux-x86_64-cpython-313/pywt/tests copying pywt/tests/test_wpnd.py -> build/lib.linux-x86_64-cpython-313/pywt/tests creating build/lib.linux-x86_64-cpython-313/pywt/tests/data copying pywt/tests/data/cwt_matlabR2015b_result.npz -> build/lib.linux-x86_64-cpython-313/pywt/tests/data copying pywt/tests/data/dwt_matlabR2012a_result.npz -> build/lib.linux-x86_64-cpython-313/pywt/tests/data copying pywt/tests/data/wavelab_test_signals.npz -> build/lib.linux-x86_64-cpython-313/pywt/tests/data copying pywt/tests/data/generate_matlab_data.py -> build/lib.linux-x86_64-cpython-313/pywt/tests/data copying pywt/tests/data/generate_matlab_data_cwt.py -> build/lib.linux-x86_64-cpython-313/pywt/tests/data copying pywt/data/ecg.npy -> build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/aero.npz -> build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/ascent.npz -> build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/camera.npz -> build/lib.linux-x86_64-cpython-313/pywt/data copying pywt/data/sst_nino3.npz -> build/lib.linux-x86_64-cpython-313/pywt/data running build_clib building 'c_wt' library creating build/temp.linux-x86_64-cpython-313 creating build/temp.linux-x86_64-cpython-313/pywt creating build/temp.linux-x86_64-cpython-313/pywt/_extensions creating build/temp.linux-x86_64-cpython-313/pywt/_extensions/c gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -Ipywt/_extensions/c -I/usr/include/python3.13 -c pywt/_extensions/c/common.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/common.o gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -Ipywt/_extensions/c -I/usr/include/python3.13 -c pywt/_extensions/c/convolution.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/convolution.o gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -Ipywt/_extensions/c -I/usr/include/python3.13 -c pywt/_extensions/c/cwt.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/cwt.o gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -Ipywt/_extensions/c -I/usr/include/python3.13 -c pywt/_extensions/c/wavelets.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/wavelets.o gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -Ipywt/_extensions/c -I/usr/include/python3.13 -c pywt/_extensions/c/wt.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/wt.o ar rcs build/temp.linux-x86_64-cpython-313/libc_wt.a build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/common.o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/convolution.o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/cwt.o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/wavelets.o build/temp.linux-x86_64-cpython-313/pywt/_extensions/c/wt.o running build_ext building 'pywt._extensions._pywt' extension gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -DCYTHON_CCOMPLEX=1 -Ipywt/_extensions -Ipywt/_extensions/c -I/usr/lib64/python3.13/site-packages/numpy/_core/include -I/usr/include/python3.13 -c pywt/_extensions/_pywt.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/_pywt.o In file included from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h:1913, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h:12, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h:5, from pywt/_extensions/_pywt.c:1289: /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] 17 | #warning "Using deprecated NumPy API, disable it with " \ | ^~~~~~~ gcc -shared -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 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer build/temp.linux-x86_64-cpython-313/pywt/_extensions/_pywt.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-cpython-313 -lc_wt -lc_wt -o build/lib.linux-x86_64-cpython-313/pywt/_extensions/_pywt.cpython-313-x86_64-linux-gnu.so building 'pywt._extensions._dwt' extension gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -DCYTHON_CCOMPLEX=1 -Ipywt/_extensions -Ipywt/_extensions/c -I/usr/lib64/python3.13/site-packages/numpy/_core/include -I/usr/include/python3.13 -c pywt/_extensions/_dwt.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/_dwt.o In file included from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h:1913, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h:12, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h:5, from pywt/_extensions/_dwt.c:1289: /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] 17 | #warning "Using deprecated NumPy API, disable it with " \ | ^~~~~~~ gcc -shared -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 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer build/temp.linux-x86_64-cpython-313/pywt/_extensions/_dwt.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-cpython-313 -lc_wt -lc_wt -o build/lib.linux-x86_64-cpython-313/pywt/_extensions/_dwt.cpython-313-x86_64-linux-gnu.so building 'pywt._extensions._swt' extension gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -DCYTHON_CCOMPLEX=1 -Ipywt/_extensions -Ipywt/_extensions/c -I/usr/lib64/python3.13/site-packages/numpy/_core/include -I/usr/include/python3.13 -c pywt/_extensions/_swt.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/_swt.o In file included from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h:1913, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h:12, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h:5, from pywt/_extensions/_swt.c:1310: /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] 17 | #warning "Using deprecated NumPy API, disable it with " \ | ^~~~~~~ gcc -shared -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 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer build/temp.linux-x86_64-cpython-313/pywt/_extensions/_swt.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-cpython-313 -lc_wt -lc_wt -o build/lib.linux-x86_64-cpython-313/pywt/_extensions/_swt.cpython-313-x86_64-linux-gnu.so building 'pywt._extensions._cwt' extension gcc -fno-strict-overflow -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -fexceptions -fcf-protection -fexceptions -fcf-protection -fexceptions -fcf-protection -O3 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DPY_EXTENSION -DHAVE_C99_COMPLEX -DCYTHON_CCOMPLEX=1 -Ipywt/_extensions -Ipywt/_extensions/c -I/usr/lib64/python3.13/site-packages/numpy/_core/include -I/usr/include/python3.13 -c pywt/_extensions/_cwt.c -o build/temp.linux-x86_64-cpython-313/pywt/_extensions/_cwt.o In file included from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h:1913, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h:12, from /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h:5, from pywt/_extensions/_cwt.c:1289: /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] 17 | #warning "Using deprecated NumPy API, disable it with " \ | ^~~~~~~ gcc -shared -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 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer build/temp.linux-x86_64-cpython-313/pywt/_extensions/_cwt.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-cpython-313 -lc_wt -lc_wt -o build/lib.linux-x86_64-cpython-313/pywt/_extensions/_cwt.cpython-313-x86_64-linux-gnu.so ~/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0/doc ~/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0 + pushd doc ++ readlink -f ../build/lib.linux-x86_64-cpython-313 + export PYTHONPATH=/builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0/build/lib.linux-x86_64-cpython-313 + PYTHONPATH=/builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0/build/lib.linux-x86_64-cpython-313 + make html SPHINXBUILD=sphinx-build-3 sphinx-build-3 -b html -d build/doctrees source build/html Running Sphinx v7.3.7 PyWavelets (VERSION 1.3.0) making output directory... done [autosummary] generating autosummary for: common_refs.rst, contributing.rst, dev/building_extension.rst, dev/conduct/code_of_conduct.rst, dev/conduct/report_handling_manual.rst, dev/how_to_release.rst, dev/index.rst, dev/installing_build_dependencies.rst, dev/preparing_linux_build_environment.rst, dev/preparing_windows_build_environment.rst, ..., release.0.5.1.rst, release.0.5.2.rst, release.1.0.0.rst, release.1.0.1.rst, release.1.0.2.rst, release.1.0.3.rst, release.1.1.0.rst, release.1.1.1.rst, release.1.2.0.rst, releasenotes.rst loading intersphinx inventory from https://numpy.org/devdocs/objects.inv... WARNING: failed to reach any of the inventories with the following issues: intersphinx inventory 'https://numpy.org/devdocs/objects.inv' not fetchable due to : HTTPSConnectionPool(host='numpy.org', port=443): Max retries exceeded with url: /devdocs/objects.inv (Caused by NameResolutionError(": Failed to resolve 'numpy.org' ([Errno -3] Temporary failure in name resolution)")) building [mo]: targets for 0 po files that are out of date writing output... building [html]: targets for 50 source files that are out of date updating environment: [new config] 50 added, 0 changed, 0 removed reading sources... [ 2%] common_refs reading sources... [ 4%] contributing reading sources... [ 6%] dev/building_extension reading sources... [ 8%] dev/conduct/code_of_conduct reading sources... [ 10%] dev/conduct/report_handling_manual reading sources... [ 12%] dev/how_to_release reading sources... [ 14%] dev/index reading sources... [ 16%] dev/installing_build_dependencies reading sources... [ 18%] dev/preparing_linux_build_environment reading sources... [ 20%] dev/preparing_windows_build_environment reading sources... [ 22%] dev/testing reading sources... [ 24%] index reading sources... [ 26%] install reading sources... [ 28%] ref/2d-decompositions-overview reading sources... [ 30%] ref/2d-dwt-and-idwt reading sources... [ 32%] ref/cwt reading sources... [ 34%] ref/dwt-coefficient-handling reading sources... [ 36%] ref/dwt-discrete-wavelet-transform reading sources... [ 38%] ref/idwt-inverse-discrete-wavelet-transform reading sources... [ 40%] ref/index reading sources... [ 42%] ref/iswt-inverse-stationary-wavelet-transform reading sources... [ 44%] ref/mra reading sources... [ 46%] ref/nd-dwt-and-idwt reading sources... [ 48%] ref/other-functions reading sources... [ 50%] ref/signal-extension-modes reading sources... [ 52%] ref/swt-stationary-wavelet-transform reading sources... [ 54%] ref/thresholding-functions reading sources... [ 56%] ref/wavelet-packets reading sources... [ 58%] ref/wavelets reading sources... [ 60%] regression/dwt-idwt reading sources... [ 62%] regression/gotchas reading sources... [ 64%] regression/index reading sources... [ 66%] regression/modes reading sources... [ 68%] regression/multilevel reading sources... [ 70%] regression/wavelet reading sources... [ 72%] regression/wp reading sources... [ 74%] regression/wp2d reading sources... [ 76%] release.0.3.0 reading sources... [ 78%] release.0.4.0 reading sources... [ 80%] release.0.5.0 reading sources... [ 82%] release.0.5.1 reading sources... [ 84%] release.0.5.2 reading sources... [ 86%] release.1.0.0 reading sources... [ 88%] release.1.0.1 reading sources... [ 90%] release.1.0.2 reading sources... [ 92%] release.1.0.3 reading sources... [ 94%] release.1.1.0 reading sources... [ 96%] release.1.1.1 reading sources... [ 98%] release.1.2.0 reading sources... [100%] releasenotes /builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0/doc/source/releasenotes.rst:4: WARNING: toctree contains reference to nonexisting document 'release.1.3.0' looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done copying assets... copying static files... done copying extra files... done done writing output... [ 2%] common_refs writing output... [ 4%] contributing writing output... [ 6%] dev/building_extension writing output... [ 8%] dev/conduct/code_of_conduct writing output... [ 10%] dev/conduct/report_handling_manual writing output... [ 12%] dev/how_to_release writing output... [ 14%] dev/index writing output... [ 16%] dev/installing_build_dependencies writing output... [ 18%] dev/preparing_linux_build_environment writing output... [ 20%] dev/preparing_windows_build_environment writing output... [ 22%] dev/testing writing output... [ 24%] index writing output... [ 26%] install writing output... [ 28%] ref/2d-decompositions-overview writing output... [ 30%] ref/2d-dwt-and-idwt writing output... [ 32%] ref/cwt writing output... [ 34%] ref/dwt-coefficient-handling writing output... [ 36%] ref/dwt-discrete-wavelet-transform writing output... [ 38%] ref/idwt-inverse-discrete-wavelet-transform writing output... [ 40%] ref/index writing output... [ 42%] ref/iswt-inverse-stationary-wavelet-transform writing output... [ 44%] ref/mra writing output... [ 46%] ref/nd-dwt-and-idwt writing output... [ 48%] ref/other-functions writing output... [ 50%] ref/signal-extension-modes writing output... [ 52%] ref/swt-stationary-wavelet-transform writing output... [ 54%] ref/thresholding-functions writing output... [ 56%] ref/wavelet-packets writing output... [ 58%] ref/wavelets writing output... [ 60%] regression/dwt-idwt writing output... [ 62%] regression/gotchas writing output... [ 64%] regression/index writing output... [ 66%] regression/modes writing output... [ 68%] regression/multilevel writing output... [ 70%] regression/wavelet writing output... [ 72%] regression/wp writing output... [ 74%] regression/wp2d writing output... [ 76%] release.0.3.0 writing output... [ 78%] release.0.4.0 writing output... [ 80%] release.0.5.0 writing output... [ 82%] release.0.5.1 writing output... [ 84%] release.0.5.2 writing output... [ 86%] release.1.0.0 writing output... [ 88%] release.1.0.1 writing output... [ 90%] release.1.0.2 writing output... [ 92%] release.1.0.3 writing output... [ 94%] release.1.1.0 writing output... [ 96%] release.1.1.1 writing output... [ 98%] release.1.2.0 writing output... [100%] releasenotes generating indices... genindex done writing additional pages... search opensearch done copying images... [ 17%] ../build/plot_directive/pyplots/camera_approx_detail.png copying images... [ 33%] ../build/plot_directive/pyplots/plot_mallat_2d.png copying images... [ 50%] ../build/plot_directive/pyplots/plot_2d_bases.png copying images... [ 67%] ../build/plot_directive/pyplots/cwt_scaling_demo.png copying images... [ 83%] ../build/plot_directive/pyplots/plot_boundary_modes.png copying images... [100%] ../build/plot_directive/pyplots/plot_thresholds.png dumping search index in English (code: en)... done dumping object inventory... done build succeeded, 2 warnings. The HTML pages are in build/html. Build finished. The HTML pages are in build/html. + find -name .buildinfo -delete ~/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0 + popd + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.Jm0akv + umask 022 + cd /builddir/build/BUILD/python-pywt-1.3.0-build + '[' /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-pywt-1.3.0-build + mkdir /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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 pywt-1.3.0 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + /usr/bin/python3 setup.py install -O1 --skip-build --root /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT --prefix /usr /builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0/setup.py:14: SetuptoolsDeprecationWarning: The test command is disabled and references to it are deprecated. !! ******************************************************************************** Please remove any references to `setuptools.command.test` in all supported versions of the affected package. This deprecation is overdue, please update your project and remove deprecated calls to avoid build errors in the future. ******************************************************************************** !! from setuptools.command.test import test as TestCommand warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:60:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:144:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:223:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:314:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:389:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_dwt.pyx:479:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_swt.pyx:102:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_swt.pyx:133:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_swt.pyx:249:8: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/_pywt.pxd:15:0: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 warning: pywt/_extensions/c_wt.pxd:89:4: The 'IF' statement is deprecated and will be removed in a future Cython version. Consider using runtime conditions or C macros instead. See https://github.com/cython/cython/issues/4310 Note: if you need reliable uninstall behavior, then install with pip instead of using `setup.py install`: - `pip install .` (from a git repo or downloaded source release) - `pip install PyWavelets` (last PyWavelets release on PyPI) Compiling pywt/_extensions/_pywt.pyx because it depends on pywt/_extensions/config.pxi. Compiling pywt/_extensions/_dwt.pyx because it depends on pywt/_extensions/config.pxi. Compiling pywt/_extensions/_swt.pyx because it depends on pywt/_extensions/config.pxi. Compiling pywt/_extensions/_cwt.pyx because it depends on pywt/_extensions/config.pxi. [1/4] Cythonizing pywt/_extensions/_dwt.pyx [2/4] Cythonizing pywt/_extensions/_swt.pyx [3/4] Cythonizing pywt/_extensions/_cwt.pyx [4/4] Cythonizing pywt/_extensions/_pywt.pyx /usr/lib/python3.13/site-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running install /usr/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` directly. Instead, use pypa/build, pypa/installer or other standards-based tools. Follow the current Python packaging guidelines when building Python RPM packages. See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html and https://docs.fedoraproject.org/en-US/packaging-guidelines/Python/ for details. ******************************************************************************** !! self.initialize_options() running install_lib creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64 creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13 creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/__init__.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_cwt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_doc_utils.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_dwt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_functions.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_mra.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_multidim.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_multilevel.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_pytest.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_pytesttester.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_swt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_thresholding.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_utils.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_wavelet_packets.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/conftest.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/_c99_config.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt copying build/lib.linux-x86_64-cpython-313/pywt/version.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions copying build/lib.linux-x86_64-cpython-313/pywt/_extensions/__init__.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions copying build/lib.linux-x86_64-cpython-313/pywt/_extensions/_pywt.cpython-313-x86_64-linux-gnu.so -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions copying build/lib.linux-x86_64-cpython-313/pywt/_extensions/_dwt.cpython-313-x86_64-linux-gnu.so -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions copying build/lib.linux-x86_64-cpython-313/pywt/_extensions/_swt.cpython-313-x86_64-linux-gnu.so -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions copying build/lib.linux-x86_64-cpython-313/pywt/_extensions/_cwt.cpython-313-x86_64-linux-gnu.so -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/_extensions/__pycache__/__init__.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions/__pycache__ creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/__init__.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/_readers.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/_wavelab_signals.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/create_dat.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/ecg.npy -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/aero.npz -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/ascent.npz -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/camera.npz -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data copying build/lib.linux-x86_64-cpython-313/pywt/data/sst_nino3.npz -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/data/__pycache__/__init__.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/data/__pycache__/_readers.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/data/__pycache__/_wavelab_signals.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__ creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test__pywt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_concurrent.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_cwt_wavelets.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_data.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_deprecations.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_doc.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_dwt_idwt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_functions.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_matlab_compatibility.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_matlab_compatibility_cwt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_modes.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_mra.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_multidim.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_multilevel.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_perfect_reconstruction.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_swt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_thresholding.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_wavelet.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_wp.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_wp2d.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests copying build/lib.linux-x86_64-cpython-313/pywt/tests/test_wpnd.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data copying build/lib.linux-x86_64-cpython-313/pywt/tests/data/cwt_matlabR2015b_result.npz -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data copying build/lib.linux-x86_64-cpython-313/pywt/tests/data/dwt_matlabR2012a_result.npz -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data copying build/lib.linux-x86_64-cpython-313/pywt/tests/data/wavelab_test_signals.npz -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data copying build/lib.linux-x86_64-cpython-313/pywt/tests/data/generate_matlab_data.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data copying build/lib.linux-x86_64-cpython-313/pywt/tests/data/generate_matlab_data_cwt.py -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data creating /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/__init__.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_functions.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_multilevel.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_dwt.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_c99_config.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_utils.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_multidim.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_thresholding.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_wavelet_packets.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_swt.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_cwt.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_mra.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/version.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_pytesttester.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ copying build/lib.linux-x86_64-cpython-313/pywt/__pycache__/_doc_utils.cpython-313.pyc -> /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/__pycache__ byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_pytest.py to _pytest.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/conftest.py to conftest.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/create_dat.py to create_dat.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test__pywt.py to test__pywt.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_concurrent.py to test_concurrent.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_cwt_wavelets.py to test_cwt_wavelets.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_data.py to test_data.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_deprecations.py to test_deprecations.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_doc.py to test_doc.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_dwt_idwt.py to test_dwt_idwt.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_functions.py to test_functions.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_matlab_compatibility.py to test_matlab_compatibility.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_matlab_compatibility_cwt.py to test_matlab_compatibility_cwt.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_modes.py to test_modes.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_mra.py to test_mra.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_multidim.py to test_multidim.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_multilevel.py to test_multilevel.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_perfect_reconstruction.py to test_perfect_reconstruction.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_swt.py to test_swt.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_thresholding.py to test_thresholding.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_wavelet.py to test_wavelet.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_wp.py to test_wp.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_wp2d.py to test_wp2d.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_wpnd.py to test_wpnd.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data/generate_matlab_data.py to generate_matlab_data.cpython-313.pyc byte-compiling /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/data/generate_matlab_data_cwt.py to generate_matlab_data_cwt.cpython-313.pyc writing byte-compilation script '/tmp/tmp55qnwofx.py' /usr/bin/python3 /tmp/tmp55qnwofx.py removing /tmp/tmp55qnwofx.py running install_egg_info running egg_info creating PyWavelets.egg-info writing PyWavelets.egg-info/PKG-INFO writing dependency_links to PyWavelets.egg-info/dependency_links.txt writing requirements to PyWavelets.egg-info/requires.txt writing top-level names to PyWavelets.egg-info/top_level.txt writing manifest file 'PyWavelets.egg-info/SOURCES.txt' dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib64/python3.13/site-packages/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative reading manifest file 'PyWavelets.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching 'cythonize.dat' no previously-included directories found matching 'build' warning: no previously-included files matching '*.py[cod]' found anywhere in distribution warning: no previously-included files matching '*.egg' found anywhere in distribution warning: no previously-included files matching '*.egg-info' found anywhere in distribution warning: no previously-included files matching '*~' found anywhere in distribution warning: no previously-included files matching '*.bak' found anywhere in distribution warning: no previously-included files matching '*.swp' found anywhere in distribution adding license file 'LICENSE' adding license file 'LICENSES_bundled.txt' writing manifest file 'PyWavelets.egg-info/SOURCES.txt' Copying PyWavelets.egg-info to /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/PyWavelets-1.3.0-py3.13.egg-info running install_scripts + rm -rfv /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/bin/__pycache__ + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.3.0-9.fc42 --unique-debug-suffix -1.3.0-9.fc42.x86_64 --unique-debug-src-base python-pywt-1.3.0-9.fc42.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0 find-debuginfo: starting Extracting debug info from 4 files DWARF-compressing 4 files sepdebugcrcfix: Updated 4 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/python-pywt-1.3.0-9.fc42.x86_64 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 + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 Bytecompiling .py files below /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13 using python3.13 Bytecompiling .py files below /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.13 using python3.13 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/_extensions/__pycache__/__init__.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__/__init__.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__/_readers.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__/create_dat.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/__pycache__/_wavelab_signals.cpython-313.pyc: rewriting with normalized contents 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/builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/__pycache__/test_deprecations.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/__pycache__/test_doc.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/__pycache__/test_dwt_idwt.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/__pycache__/test_functions.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/__pycache__/test_cwt_wavelets.cpython-313.pyc: replacing with normalized version 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rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/python-pywt-1.3.0-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.Ggd4qs + umask 022 + cd /builddir/build/BUILD/python-pywt-1.3.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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 pywt-1.3.0 + mkdir -p matplotlib + touch matplotlib/matplotlibrc ++ pwd ~/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0 + export XDG_CONFIG_HOME=/builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0 + XDG_CONFIG_HOME=/builddir/build/BUILD/python-pywt-1.3.0-build/pywt-1.3.0 + pushd /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT//usr/lib64/python3.13/site-packages + xvfb-run -a pytest-3.13 pywt/tests --verbose -p no:cacheprovider ============================= test session starts ============================== platform linux -- Python 3.13.1, pytest-8.3.4, pluggy-1.5.0 -- /usr/bin/python3 rootdir: /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages collecting ... collected 1035 items pywt/tests/test__pywt.py::test_upcoef_reconstruct PASSED [ 0%] pywt/tests/test__pywt.py::test_downcoef_multilevel PASSED [ 0%] pywt/tests/test__pywt.py::test_downcoef_complex PASSED [ 0%] pywt/tests/test__pywt.py::test_downcoef_errs PASSED [ 0%] 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pywt/tests/test_mra.py::test_mra_warns_on_non_orthogonal[dwt-rbio1.3] PASSED [ 29%] pywt/tests/test_mra.py::test_mra_warns_on_non_orthogonal[dwt-bior2.4] PASSED [ 29%] pywt/tests/test_mra.py::test_mra_warns_on_non_orthogonal[swt-rbio1.3] PASSED [ 29%] pywt/tests/test_mra.py::test_mra_warns_on_non_orthogonal[swt-bior2.4] PASSED [ 29%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1-0] PASSED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1--1] PASSED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1-1] FAILED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1-2] FAILED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1--3] FAILED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-2-0] PASSED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-2--1] PASSED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-2-1] PASSED [ 30%] pywt/tests/test_mra.py::test_mra_axis[float64-dwt-2-2] FAILED [ 30%] 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PASSED [ 34%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-2--1] PASSED [ 34%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-2-1] PASSED [ 35%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-2-2] FAILED [ 35%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-2--3] FAILED [ 35%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-3-0] PASSED [ 35%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-3--1] PASSED [ 35%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-3-1] PASSED [ 35%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-3-2] PASSED [ 35%] pywt/tests/test_mra.py::test_mra_axis[complex128-swt-3--3] PASSED [ 35%] pywt/tests/test_mra.py::test_mra2_roundtrip[float32-zero-dwt2-db2] PASSED [ 35%] pywt/tests/test_mra.py::test_mra2_roundtrip[float32-zero-dwt2-sym4] PASSED [ 35%] pywt/tests/test_mra.py::test_mra2_roundtrip[float32-zero-dwt2-coif5] PASSED [ 36%] pywt/tests/test_mra.py::test_mra2_roundtrip[float32-zero-swt2-db2] PASSED [ 36%] 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59%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes2-3-dwt2] PASSED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes2-3-swt2] PASSED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes3-2-dwt2] FAILED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes3-2-swt2] FAILED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes3-3-dwt2] PASSED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes3-3-swt2] PASSED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-2-dwt2] FAILED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-2-swt2] FAILED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-3-dwt2] FAILED [ 60%] pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-3-swt2] FAILED [ 60%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float32-zero-dwtn-sym2] PASSED [ 60%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float32-zero-swtn-sym2] PASSED [ 61%] 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pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-periodic-dwtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-periodic-swtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-smooth-dwtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-smooth-swtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-periodization-dwtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-periodization-swtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-reflect-dwtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-reflect-swtn-sym2] PASSED [ 63%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-antisymmetric-dwtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-antisymmetric-swtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-antireflect-dwtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-float64-antireflect-swtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-zero-dwtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-zero-swtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-constant-dwtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-constant-swtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-symmetric-dwtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-symmetric-swtn-sym2] PASSED [ 64%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-periodic-dwtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-periodic-swtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-smooth-dwtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-smooth-swtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-periodization-dwtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-periodization-swtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-reflect-dwtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-reflect-swtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-antisymmetric-dwtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-antisymmetric-swtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-antireflect-dwtn-sym2] PASSED [ 65%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex64-antireflect-swtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-zero-dwtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-zero-swtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-constant-dwtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-constant-swtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-symmetric-dwtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-symmetric-swtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-periodic-dwtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-periodic-swtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-smooth-dwtn-sym2] PASSED [ 66%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-smooth-swtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-periodization-dwtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-periodization-swtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-reflect-dwtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-reflect-swtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-antisymmetric-dwtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-antisymmetric-swtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-antireflect-dwtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[1-complex128-antireflect-swtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float32-zero-dwtn-sym2] PASSED [ 67%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float32-zero-swtn-sym2] PASSED [ 68%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float32-constant-dwtn-sym2] PASSED [ 68%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float32-constant-swtn-sym2] PASSED [ 68%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float32-symmetric-dwtn-sym2] PASSED [ 68%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float32-symmetric-swtn-sym2] PASSED [ 68%] 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pywt/tests/test_mra.py::test_mran_roundtrip[2-float32-antireflect-swtn-sym2] PASSED [ 69%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-zero-dwtn-sym2] PASSED [ 69%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-zero-swtn-sym2] PASSED [ 69%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-constant-dwtn-sym2] PASSED [ 69%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-constant-swtn-sym2] PASSED [ 69%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-symmetric-dwtn-sym2] PASSED [ 70%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-symmetric-swtn-sym2] PASSED [ 70%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-periodic-dwtn-sym2] PASSED [ 70%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-periodic-swtn-sym2] PASSED [ 70%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-smooth-dwtn-sym2] PASSED [ 70%] pywt/tests/test_mra.py::test_mran_roundtrip[2-float64-smooth-swtn-sym2] PASSED [ 70%] 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pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-constant-swtn-sym2] PASSED [ 71%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-symmetric-dwtn-sym2] PASSED [ 71%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-symmetric-swtn-sym2] PASSED [ 71%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-periodic-dwtn-sym2] PASSED [ 71%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-periodic-swtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-smooth-dwtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-smooth-swtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-periodization-dwtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-periodization-swtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-reflect-dwtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-reflect-swtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-antisymmetric-dwtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-antisymmetric-swtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-antireflect-dwtn-sym2] PASSED [ 72%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex64-antireflect-swtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-zero-dwtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-zero-swtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-constant-dwtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-constant-swtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-symmetric-dwtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-symmetric-swtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-periodic-dwtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-periodic-swtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-smooth-dwtn-sym2] PASSED [ 73%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-smooth-swtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-periodization-dwtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-periodization-swtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-reflect-dwtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-reflect-swtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-antisymmetric-dwtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-antisymmetric-swtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-antireflect-dwtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[2-complex128-antireflect-swtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-zero-dwtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-zero-swtn-sym2] PASSED [ 74%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-constant-dwtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-constant-swtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-symmetric-dwtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-symmetric-swtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-periodic-dwtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-periodic-swtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-smooth-dwtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-smooth-swtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-periodization-dwtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-periodization-swtn-sym2] PASSED [ 75%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-reflect-dwtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-reflect-swtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-antisymmetric-dwtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-antisymmetric-swtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-antireflect-dwtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float32-antireflect-swtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-zero-dwtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-zero-swtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-constant-dwtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-constant-swtn-sym2] PASSED [ 76%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-symmetric-dwtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-symmetric-swtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-periodic-dwtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-periodic-swtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-smooth-dwtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-smooth-swtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-periodization-dwtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-periodization-swtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-reflect-dwtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-reflect-swtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-antisymmetric-dwtn-sym2] PASSED [ 77%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-antisymmetric-swtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-antireflect-dwtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-float64-antireflect-swtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-zero-dwtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-zero-swtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-constant-dwtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-constant-swtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-symmetric-dwtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-symmetric-swtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-periodic-dwtn-sym2] PASSED [ 78%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-periodic-swtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-smooth-dwtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-smooth-swtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-periodization-dwtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-periodization-swtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-reflect-dwtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-reflect-swtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-antisymmetric-dwtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-antisymmetric-swtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-antireflect-dwtn-sym2] PASSED [ 79%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex64-antireflect-swtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-zero-dwtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-zero-swtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-constant-dwtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-constant-swtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-symmetric-dwtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-symmetric-swtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-periodic-dwtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-periodic-swtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-smooth-dwtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-smooth-swtn-sym2] PASSED [ 80%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-periodization-dwtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-periodization-swtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-reflect-dwtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-reflect-swtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-antisymmetric-dwtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-antisymmetric-swtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-antireflect-dwtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_roundtrip[3-complex128-antireflect-swtn-sym2] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_warns_on_non_orthogonal[dwtn-rbio1.3] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_warns_on_non_orthogonal[dwtn-bior2.4] PASSED [ 81%] pywt/tests/test_mra.py::test_mran_warns_on_non_orthogonal[swtn-rbio1.3] PASSED [ 82%] pywt/tests/test_mra.py::test_mran_warns_on_non_orthogonal[swtn-bior2.4] PASSED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes0] PASSED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes1] PASSED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes2] FAILED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes3] FAILED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes4] FAILED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes5] FAILED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes6] FAILED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes7] FAILED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes8] PASSED [ 82%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes9] PASSED [ 83%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes10] FAILED [ 83%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes11] PASSED [ 83%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes12] FAILED [ 83%] pywt/tests/test_mra.py::test_mran_axes[dwtn-axes13] FAILED [ 83%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes0] PASSED [ 83%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes1] PASSED [ 83%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes2] FAILED [ 83%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes3] FAILED [ 83%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes4] FAILED [ 83%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes5] FAILED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes6] FAILED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes7] FAILED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes8] PASSED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes9] PASSED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes10] FAILED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes11] PASSED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes12] FAILED [ 84%] pywt/tests/test_mra.py::test_mran_axes[swtn-axes13] FAILED [ 84%] pywt/tests/test_multidim.py::test_dwtn_input PASSED [ 84%] pywt/tests/test_multidim.py::test_3D_reconstruct PASSED [ 85%] pywt/tests/test_multidim.py::test_dwdtn_idwtn_allwavelets PASSED [ 85%] pywt/tests/test_multidim.py::test_stride PASSED [ 85%] pywt/tests/test_multidim.py::test_byte_offset PASSED [ 85%] pywt/tests/test_multidim.py::test_3D_reconstruct_complex PASSED [ 85%] pywt/tests/test_multidim.py::test_idwtn_idwt2 PASSED [ 85%] pywt/tests/test_multidim.py::test_idwtn_idwt2_complex PASSED [ 85%] pywt/tests/test_multidim.py::test_idwtn_missing PASSED [ 85%] pywt/tests/test_multidim.py::test_idwtn_all_coeffs_None PASSED [ 85%] pywt/tests/test_multidim.py::test_error_on_invalid_keys PASSED [ 85%] pywt/tests/test_multidim.py::test_error_mismatched_size PASSED [ 85%] pywt/tests/test_multidim.py::test_dwt2_idwt2_dtypes PASSED [ 86%] pywt/tests/test_multidim.py::test_dwtn_axes PASSED [ 86%] pywt/tests/test_multidim.py::test_idwtn_axes PASSED [ 86%] pywt/tests/test_multidim.py::test_idwt2_none_coeffs PASSED [ 86%] pywt/tests/test_multidim.py::test_idwtn_none_coeffs PASSED [ 86%] pywt/tests/test_multidim.py::test_idwt2_axes PASSED [ 86%] pywt/tests/test_multidim.py::test_idwt2_axes_subsets PASSED [ 86%] pywt/tests/test_multidim.py::test_idwtn_axes_subsets PASSED [ 86%] pywt/tests/test_multidim.py::test_negative_axes PASSED [ 86%] pywt/tests/test_multidim.py::test_dwtn_idwtn_dtypes PASSED [ 86%] pywt/tests/test_multidim.py::test_idwtn_mixed_complex_dtype PASSED [ 87%] pywt/tests/test_multidim.py::test_idwt2_size_mismatch_error PASSED [ 87%] pywt/tests/test_multidim.py::test_dwt2_dimension_error PASSED [ 87%] pywt/tests/test_multidim.py::test_per_axis_wavelets_and_modes PASSED [ 87%] pywt/tests/test_multidim.py::test_error_on_continuous_wavelet PASSED [ 87%] pywt/tests/test_multilevel.py::test_wavedec PASSED [ 87%] pywt/tests/test_multilevel.py::test_waverec_invalid_inputs PASSED [ 87%] pywt/tests/test_multilevel.py::test_waverec_accuracies PASSED [ 87%] pywt/tests/test_multilevel.py::test_waverec_none PASSED [ 87%] pywt/tests/test_multilevel.py::test_waverec_odd_length PASSED [ 87%] pywt/tests/test_multilevel.py::test_waverec_complex PASSED [ 88%] pywt/tests/test_multilevel.py::test_multilevel_dtypes_1d PASSED [ 88%] pywt/tests/test_multilevel.py::test_waverec_all_wavelets_modes PASSED [ 88%] pywt/tests/test_multilevel.py::test_waverec2_accuracies PASSED [ 88%] pywt/tests/test_multilevel.py::test_multilevel_dtypes_2d PASSED [ 88%] pywt/tests/test_multilevel.py::test_waverec2_all_wavelets_modes PASSED [ 88%] pywt/tests/test_multilevel.py::test_wavedec2_complex PASSED [ 88%] pywt/tests/test_multilevel.py::test_wavedec2_invalid_inputs PASSED [ 88%] pywt/tests/test_multilevel.py::test_waverec2_invalid_inputs PASSED [ 88%] pywt/tests/test_multilevel.py::test_waverec2_coeff_shape_mismatch PASSED [ 88%] pywt/tests/test_multilevel.py::test_waverec2_odd_length PASSED [ 88%] pywt/tests/test_multilevel.py::test_waverec2_none_coeffs PASSED [ 89%] pywt/tests/test_multilevel.py::test_waverecn PASSED [ 89%] pywt/tests/test_multilevel.py::test_waverecn_empty_coeff PASSED [ 89%] pywt/tests/test_multilevel.py::test_waverecn_invalid_coeffs PASSED [ 89%] pywt/tests/test_multilevel.py::test_waverecn_invalid_inputs PASSED [ 89%] pywt/tests/test_multilevel.py::test_waverecn_lists PASSED [ 89%] pywt/tests/test_multilevel.py::test_waverecn_invalid_coeffs2 PASSED [ 89%] pywt/tests/test_multilevel.py::test_wavedecn_invalid_inputs PASSED [ 89%] pywt/tests/test_multilevel.py::test_wavedecn_many_levels PASSED [ 89%] pywt/tests/test_multilevel.py::test_waverecn_accuracies PASSED [ 89%] pywt/tests/test_multilevel.py::test_multilevel_dtypes_nd PASSED [ 90%] pywt/tests/test_multilevel.py::test_wavedecn_complex PASSED [ 90%] pywt/tests/test_multilevel.py::test_waverecn_dtypes PASSED [ 90%] pywt/tests/test_multilevel.py::test_waverecn_all_wavelets_modes PASSED [ 90%] pywt/tests/test_multilevel.py::test_coeffs_to_array PASSED [ 90%] pywt/tests/test_multilevel.py::test_wavedecn_coeff_reshape_even PASSED [ 90%] pywt/tests/test_multilevel.py::test_wavedecn_coeff_reshape_axes_subset PASSED [ 90%] pywt/tests/test_multilevel.py::test_coeffs_to_array_padding PASSED [ 90%] pywt/tests/test_multilevel.py::test_waverecn_coeff_reshape_odd PASSED [ 90%] pywt/tests/test_multilevel.py::test_array_to_coeffs_invalid_inputs PASSED [ 90%] pywt/tests/test_multilevel.py::test_wavedecn_coeff_ravel PASSED [ 91%] pywt/tests/test_multilevel.py::test_wavedecn_coeff_ravel_zero_level PASSED [ 91%] pywt/tests/test_multilevel.py::test_waverecn_coeff_ravel_odd PASSED [ 91%] pywt/tests/test_multilevel.py::test_ravel_wavedec2_with_lists PASSED [ 91%] pywt/tests/test_multilevel.py::test_ravel_invalid_input PASSED [ 91%] pywt/tests/test_multilevel.py::test_unravel_invalid_inputs PASSED [ 91%] pywt/tests/test_multilevel.py::test_wavedecn_shapes_and_size PASSED [ 91%] pywt/tests/test_multilevel.py::test_dwtn_max_level PASSED [ 91%] pywt/tests/test_multilevel.py::test_waverec_axes_subsets PASSED [ 91%] pywt/tests/test_multilevel.py::test_waverec_axis_db2 PASSED [ 91%] pywt/tests/test_multilevel.py::test_waverec2_axes_subsets PASSED [ 91%] pywt/tests/test_multilevel.py::test_waverecn_axes_subsets PASSED [ 92%] pywt/tests/test_multilevel.py::test_waverecn_int_axis PASSED [ 92%] pywt/tests/test_multilevel.py::test_wavedec_axis_error FAILED [ 92%] pywt/tests/test_multilevel.py::test_waverec_axis_error FAILED [ 92%] pywt/tests/test_multilevel.py::test_waverec_shape_mismatch_error FAILED [ 92%] pywt/tests/test_multilevel.py::test_wavedec2_axes_errors FAILED [ 92%] pywt/tests/test_multilevel.py::test_waverec2_axes_errors FAILED [ 92%] pywt/tests/test_multilevel.py::test_wavedecn_axes_errors FAILED [ 92%] pywt/tests/test_multilevel.py::test_waverecn_axes_errors FAILED [ 92%] pywt/tests/test_multilevel.py::test_per_axis_wavelets_and_modes PASSED [ 92%] pywt/tests/test_multilevel.py::test_fswavedecn_fswaverecn_roundtrip PASSED [ 93%] pywt/tests/test_multilevel.py::test_fswavedecn_fswaverecn_zero_levels PASSED [ 93%] pywt/tests/test_multilevel.py::test_fswavedecn_fswaverecn_variable_levels PASSED [ 93%] pywt/tests/test_multilevel.py::test_fswavedecn_fswaverecn_variable_wavelets_and_modes PASSED [ 93%] pywt/tests/test_multilevel.py::test_fswavedecn_fswaverecn_axes_subsets FAILED [ 93%] pywt/tests/test_multilevel.py::test_fswavedecnresult PASSED [ 93%] pywt/tests/test_multilevel.py::test_error_on_continuous_wavelet PASSED [ 93%] pywt/tests/test_multilevel.py::test_default_level PASSED [ 93%] pywt/tests/test_multilevel.py::test_waverec_mixed_precision PASSED [ 93%] pywt/tests/test_perfect_reconstruction.py::test_perfect_reconstruction PASSED [ 93%] pywt/tests/test_swt.py::test_swt_decomposition PASSED [ 94%] pywt/tests/test_swt.py::test_swt_max_level PASSED [ 94%] pywt/tests/test_swt.py::test_swt_axis FAILED [ 94%] pywt/tests/test_swt.py::test_swt_iswt_integration PASSED [ 94%] pywt/tests/test_swt.py::test_swt_dtypes PASSED [ 94%] pywt/tests/test_swt.py::test_swt_roundtrip_dtypes PASSED [ 94%] pywt/tests/test_swt.py::test_swt_default_level_by_axis PASSED [ 94%] pywt/tests/test_swt.py::test_swt2_ndim_error PASSED [ 94%] pywt/tests/test_swt.py::test_swt2_iswt2_integration PASSED [ 94%] pywt/tests/test_swt.py::test_swt2_iswt2_quick PASSED [ 94%] pywt/tests/test_swt.py::test_swt2_iswt2_non_square PASSED [ 94%] pywt/tests/test_swt.py::test_swt2_axes PASSED [ 95%] pywt/tests/test_swt.py::test_swtn_axes PASSED [ 95%] pywt/tests/test_swt.py::test_swtn_iswtn_integration PASSED [ 95%] pywt/tests/test_swt.py::test_swtn_iswtn_quick PASSED [ 95%] pywt/tests/test_swt.py::test_iswtn_errors PASSED [ 95%] pywt/tests/test_swt.py::test_swtn_iswtn_unique_shape_per_axis PASSED [ 95%] pywt/tests/test_swt.py::test_per_axis_wavelets PASSED [ 95%] pywt/tests/test_swt.py::test_error_on_continuous_wavelet PASSED [ 95%] pywt/tests/test_swt.py::test_iswt_mixed_dtypes PASSED [ 95%] pywt/tests/test_swt.py::test_iswt2_mixed_dtypes PASSED [ 95%] pywt/tests/test_swt.py::test_iswtn_mixed_dtypes PASSED [ 96%] pywt/tests/test_swt.py::test_swt_zero_size_axes PASSED [ 96%] pywt/tests/test_swt.py::test_swt_variance_and_energy_preservation PASSED [ 96%] pywt/tests/test_swt.py::test_swt2_variance_and_energy_preservation PASSED [ 96%] pywt/tests/test_swt.py::test_swtn_variance_and_energy_preservation PASSED [ 96%] pywt/tests/test_swt.py::test_swt_ravel_and_unravel PASSED [ 96%] pywt/tests/test_thresholding.py::test_threshold PASSED [ 96%] pywt/tests/test_thresholding.py::test_nonnegative_garotte PASSED [ 96%] pywt/tests/test_thresholding.py::test_threshold_firm PASSED [ 96%] pywt/tests/test_wavelet.py::test_wavelet_properties PASSED [ 96%] pywt/tests/test_wavelet.py::test_wavelet_coefficients PASSED [ 97%] pywt/tests/test_wavelet.py::test_custom_wavelet PASSED [ 97%] pywt/tests/test_wavelet.py::test_wavefun_sym3 PASSED [ 97%] pywt/tests/test_wavelet.py::test_wavefun_bior13 PASSED [ 97%] pywt/tests/test_wavelet.py::test_wavelet_pickle PASSED [ 97%] pywt/tests/test_wp.py::test_wavelet_packet_structure PASSED [ 97%] pywt/tests/test_wp.py::test_traversing_wp_tree PASSED [ 97%] pywt/tests/test_wp.py::test_acess_path PASSED [ 97%] pywt/tests/test_wp.py::test_access_node_attributes PASSED [ 97%] pywt/tests/test_wp.py::test_collecting_nodes PASSED [ 97%] pywt/tests/test_wp.py::test_reconstructing_data PASSED [ 97%] pywt/tests/test_wp.py::test_removing_nodes PASSED [ 98%] pywt/tests/test_wp.py::test_wavelet_packet_dtypes PASSED [ 98%] pywt/tests/test_wp.py::test_db3_roundtrip PASSED [ 98%] pywt/tests/test_wp.py::test_wavelet_packet_axis PASSED [ 98%] pywt/tests/test_wp.py::test_wavelet_packet_pickle PASSED [ 98%] pywt/tests/test_wp2d.py::test_traversing_tree_2d PASSED [ 98%] pywt/tests/test_wp2d.py::test_accessing_node_attributes_2d PASSED [ 98%] pywt/tests/test_wp2d.py::test_collecting_nodes_2d PASSED [ 98%] pywt/tests/test_wp2d.py::test_data_reconstruction_2d PASSED [ 98%] pywt/tests/test_wp2d.py::test_data_reconstruction_delete_nodes_2d PASSED [ 98%] pywt/tests/test_wp2d.py::test_lazy_evaluation_2D PASSED [ 99%] pywt/tests/test_wp2d.py::test_wavelet_packet_dtypes PASSED [ 99%] pywt/tests/test_wp2d.py::test_2d_roundtrip PASSED [ 99%] pywt/tests/test_wp2d.py::test_wavelet_packet_axes PASSED [ 99%] pywt/tests/test_wp2d.py::test_wavelet_packet2d_pickle PASSED [ 99%] pywt/tests/test_wpnd.py::test_traversing_tree_nd PASSED [ 99%] pywt/tests/test_wpnd.py::test_accessing_node_attributes_nd PASSED [ 99%] pywt/tests/test_wpnd.py::test_collecting_nodes_nd PASSED [ 99%] pywt/tests/test_wpnd.py::test_data_reconstruction_delete_nodes_nd PASSED [ 99%] pywt/tests/test_wpnd.py::test_wavelet_packet_dtypes PASSED [ 99%] pywt/tests/test_wpnd.py::test_wavelet_packet_axes PASSED [100%] =================================== FAILURES =================================== __________________________ test_dwt_idwt_axis_excess ___________________________ def test_dwt_idwt_axis_excess(): x = [[3, 7, 1, 1], [-2, 5, 4, 6]] # can't transform over axes that aren't there > assert_raises(ValueError, pywt.dwt, x, 'db2', 'symmetric', axis=2) pywt/tests/test_dwt_idwt.py:218: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_dwt.py:179: in dwt raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ________________________ test_mra_axis[float64-dwt-1-1] ________________________ transform = 'dwt', ndim = 1, axis = 1, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ________________________ test_mra_axis[float64-dwt-1-2] ________________________ transform = 'dwt', ndim = 1, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _______________________ test_mra_axis[float64-dwt-1--3] ________________________ transform = 'dwt', ndim = 1, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ________________________ test_mra_axis[float64-dwt-2-2] ________________________ transform = 'dwt', ndim = 2, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _______________________ test_mra_axis[float64-dwt-2--3] ________________________ transform = 'dwt', ndim = 2, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ________________________ test_mra_axis[float64-swt-1-1] ________________________ transform = 'swt', ndim = 1, axis = 1, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ________________________ test_mra_axis[float64-swt-1-2] ________________________ transform = 'swt', ndim = 1, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _______________________ test_mra_axis[float64-swt-1--3] ________________________ transform = 'swt', ndim = 1, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ________________________ test_mra_axis[float64-swt-2-2] ________________________ transform = 'swt', ndim = 2, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _______________________ test_mra_axis[float64-swt-2--3] ________________________ transform = 'swt', ndim = 2, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-dwt-1-1] _______________________ transform = 'dwt', ndim = 1, axis = 1, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-dwt-1-2] _______________________ transform = 'dwt', ndim = 1, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-dwt-1--3] ______________________ transform = 'dwt', ndim = 1, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-dwt-2-2] _______________________ transform = 'dwt', ndim = 2, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-dwt-2--3] ______________________ transform = 'dwt', ndim = 2, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-swt-1-1] _______________________ transform = 'swt', ndim = 1, axis = 1, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-swt-1-2] _______________________ transform = 'swt', ndim = 1, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-swt-1--3] ______________________ transform = 'swt', ndim = 1, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-swt-2-2] _______________________ transform = 'swt', ndim = 2, axis = 2, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_mra_axis[complex128-swt-2--3] ______________________ transform = 'swt', ndim = 2, axis = -3, dtype = @pytest.mark.parametrize('axis', [0, -1, 1, 2, -3]) @pytest.mark.parametrize('ndim', [1, 2, 3]) @pytest.mark.parametrize('transform', ['dwt', 'swt']) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra_axis(transform, ndim, axis, dtype): # Test transforms over a specific axis of 1D, 2D or 3D data if ndim == 1: x = data.ecg()[:64] elif ndim == 2: x = data.camera()[:64, :32] elif ndim == 3: x = data.camera()[:48, :8] x = np.stack((x,) * 8, axis=-1) x = x.astype(dtype, copy=False) # out of range axis if axis < -x.ndim or axis >= x.ndim: > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:86: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes2-2-dwt2] _____________________ transform = 'dwt2', axes = (0, 2), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes2-2-swt2] _____________________ transform = 'swt2', axes = (0, 2), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes3-2-dwt2] _____________________ transform = 'dwt2', axes = (-3, 1), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes3-2-swt2] _____________________ transform = 'swt2', axes = (-3, 1), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes4-2-dwt2] _____________________ transform = 'dwt2', axes = (0, 4), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes4-2-swt2] _____________________ transform = 'swt2', axes = (0, 4), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes4-3-dwt2] _____________________ transform = 'dwt2', axes = (0, 4), ndim = 3, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _____________________ test_mra2_axes[float64-axes4-3-swt2] _____________________ transform = 'swt2', axes = (0, 4), ndim = 3, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes2-2-dwt2] ____________________ transform = 'dwt2', axes = (0, 2), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes2-2-swt2] ____________________ transform = 'swt2', axes = (0, 2), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes3-2-dwt2] ____________________ transform = 'dwt2', axes = (-3, 1), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes3-2-swt2] ____________________ transform = 'swt2', axes = (-3, 1), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes4-2-dwt2] ____________________ transform = 'dwt2', axes = (0, 4), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes4-2-swt2] ____________________ transform = 'swt2', axes = (0, 4), ndim = 2, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes4-3-dwt2] ____________________ transform = 'dwt2', axes = (0, 4), ndim = 3, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_mra2_axes[complex128-axes4-3-swt2] ____________________ transform = 'swt2', axes = (0, 4), ndim = 3, dtype = @pytest.mark.parametrize('transform', ['dwt2', 'swt2']) @pytest.mark.parametrize('ndim', [2, 3]) @pytest.mark.parametrize('axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4)]) @pytest.mark.parametrize('dtype', [np.float64, np.complex128]) def test_mra2_axes(transform, axes, ndim, dtype): # Test transforms over various axes of 2D or 3D data. x = data.camera()[:32, :16].astype(dtype, copy=False) if ndim == 3: x = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[dwtn-axes2] __________________________ axes = (0, 2), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[dwtn-axes3] __________________________ axes = (-3, 1), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[dwtn-axes4] __________________________ axes = (0, 4), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[dwtn-axes5] __________________________ axes = (-3, -2, -1), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[dwtn-axes6] __________________________ axes = (0, 2, 1), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[dwtn-axes7] __________________________ axes = (0, 5, 1), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _________________________ test_mran_axes[dwtn-axes10] __________________________ axes = (2,), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _________________________ test_mran_axes[dwtn-axes12] __________________________ axes = (-3,), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _________________________ test_mran_axes[dwtn-axes13] __________________________ axes = (-4,), transform = 'dwtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[swtn-axes2] __________________________ axes = (0, 2), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[swtn-axes3] __________________________ axes = (-3, 1), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[swtn-axes4] __________________________ axes = (0, 4), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[swtn-axes5] __________________________ axes = (-3, -2, -1), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[swtn-axes6] __________________________ axes = (0, 2, 1), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_mran_axes[swtn-axes7] __________________________ axes = (0, 5, 1), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _________________________ test_mran_axes[swtn-axes10] __________________________ axes = (2,), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _________________________ test_mran_axes[swtn-axes12] __________________________ axes = (-3,), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError _________________________ test_mran_axes[swtn-axes13] __________________________ axes = (-4,), transform = 'swtn' @pytest.mark.parametrize( 'axes', [(0, 1), (-2, -1), (0, 2), (-3, 1), (0, 4), (-3, -2, -1), (0, 2, 1), (0, 5, 1), (0,), (1,), (2,), (-2,), (-3,), (-4,)]) @pytest.mark.parametrize('transform', ['dwtn', 'swtn']) def test_mran_axes(axes, transform): # Test with transforms over 1, 2 or 3 axes of 3d data. # Cases with out of range axes are also tested dtype = np.float64 x = data.camera()[:32, :16].astype(dtype, copy=False) x3d = np.stack((x,) * 8, axis=-1) # out of range axis if any([axis < -x.ndim or axis >= x.ndim for axis in axes]): > with pytest.raises(np.AxisError): pywt/tests/test_mra.py:247: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'AxisError' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________________ test_wavedec_axis_error ____________________________ def wavedec(data, wavelet, mode='symmetric', level=None, axis=-1): """ Multilevel 1D Discrete Wavelet Transform of data. Parameters ---------- data: array_like Input data wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see :ref:`Modes `. level : int, optional Decomposition level (must be >= 0). If level is None (default) then it will be calculated using the ``dwt_max_level`` function. axis: int, optional Axis over which to compute the DWT. If not given, the last axis is used. Returns ------- [cA_n, cD_n, cD_n-1, ..., cD2, cD1] : list Ordered list of coefficients arrays where ``n`` denotes the level of decomposition. The first element (``cA_n``) of the result is approximation coefficients array and the following elements (``cD_n`` - ``cD_1``) are details coefficients arrays. Examples -------- >>> from pywt import wavedec >>> coeffs = wavedec([1,2,3,4,5,6,7,8], 'db1', level=2) >>> cA2, cD2, cD1 = coeffs >>> cD1 array([-0.70710678, -0.70710678, -0.70710678, -0.70710678]) >>> cD2 array([-2., -2.]) >>> cA2 array([ 5., 13.]) """ data = np.asarray(data) wavelet = _as_wavelet(wavelet) try: > axes_shape = data.shape[axis] E IndexError: tuple index out of range pywt/_multilevel.py:94: IndexError During handling of the above exception, another exception occurred: def test_wavedec_axis_error(): data = np.ones(4) # out of range axis not allowed > assert_raises(ValueError, pywt.wavedec, data, 'haar', axis=1) pywt/tests/test_multilevel.py:750: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:96: in wavedec raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________________ test_waverec_axis_error ____________________________ def waverec(coeffs, wavelet, mode='symmetric', axis=-1): """ Multilevel 1D Inverse Discrete Wavelet Transform. Parameters ---------- coeffs : array_like Coefficients list [cAn, cDn, cDn-1, ..., cD2, cD1] wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see :ref:`Modes `. axis: int, optional Axis over which to compute the inverse DWT. If not given, the last axis is used. Notes ----- It may sometimes be desired to run ``waverec`` with some sets of coefficients omitted. This can best be done by setting the corresponding arrays to zero arrays of matching shape and dtype. Explicitly removing list entries or setting them to None is not supported. Specifically, to ignore detail coefficients at level 2, one could do:: coeffs[-2] == np.zeros_like(coeffs[-2]) Examples -------- >>> import pywt >>> coeffs = pywt.wavedec([1,2,3,4,5,6,7,8], 'db1', level=2) >>> pywt.waverec(coeffs, 'db1') array([ 1., 2., 3., 4., 5., 6., 7., 8.]) """ if not isinstance(coeffs, (list, tuple)): raise ValueError("Expected sequence of coefficient arrays.") if len(coeffs) < 1: raise ValueError( "Coefficient list too short (minimum 1 arrays required).") elif len(coeffs) == 1: # level 0 transform (just returns the approximation coefficients) return coeffs[0] a, ds = coeffs[0], coeffs[1:] for d in ds: if d is not None and not isinstance(d, np.ndarray): raise ValueError(( "Unexpected detail coefficient type: {}. Detail coefficients " "must be arrays as returned by wavedec. If you are using " "pywt.array_to_coeffs or pywt.unravel_coeffs, please specify " "output_format='wavedec'").format(type(d))) if (a is not None) and (d is not None): try: > if a.shape[axis] == d.shape[axis] + 1: E IndexError: tuple index out of range pywt/_multilevel.py:168: IndexError During handling of the above exception, another exception occurred: def test_waverec_axis_error(): c = pywt.wavedec(np.ones(4), 'haar') # out of range axis not allowed > assert_raises(ValueError, pywt.waverec, c, 'haar', axis=1) pywt/tests/test_multilevel.py:756: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:173: in waverec raise np.AxisError("Axis greater than coefficient dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ______________________ test_waverec_shape_mismatch_error _______________________ def waverec(coeffs, wavelet, mode='symmetric', axis=-1): """ Multilevel 1D Inverse Discrete Wavelet Transform. Parameters ---------- coeffs : array_like Coefficients list [cAn, cDn, cDn-1, ..., cD2, cD1] wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see :ref:`Modes `. axis: int, optional Axis over which to compute the inverse DWT. If not given, the last axis is used. Notes ----- It may sometimes be desired to run ``waverec`` with some sets of coefficients omitted. This can best be done by setting the corresponding arrays to zero arrays of matching shape and dtype. Explicitly removing list entries or setting them to None is not supported. Specifically, to ignore detail coefficients at level 2, one could do:: coeffs[-2] == np.zeros_like(coeffs[-2]) Examples -------- >>> import pywt >>> coeffs = pywt.wavedec([1,2,3,4,5,6,7,8], 'db1', level=2) >>> pywt.waverec(coeffs, 'db1') array([ 1., 2., 3., 4., 5., 6., 7., 8.]) """ if not isinstance(coeffs, (list, tuple)): raise ValueError("Expected sequence of coefficient arrays.") if len(coeffs) < 1: raise ValueError( "Coefficient list too short (minimum 1 arrays required).") elif len(coeffs) == 1: # level 0 transform (just returns the approximation coefficients) return coeffs[0] a, ds = coeffs[0], coeffs[1:] for d in ds: if d is not None and not isinstance(d, np.ndarray): raise ValueError(( "Unexpected detail coefficient type: {}. Detail coefficients " "must be arrays as returned by wavedec. If you are using " "pywt.array_to_coeffs or pywt.unravel_coeffs, please specify " "output_format='wavedec'").format(type(d))) if (a is not None) and (d is not None): try: > if a.shape[axis] == d.shape[axis] + 1: E IndexError: tuple index out of range pywt/_multilevel.py:168: IndexError During handling of the above exception, another exception occurred: def test_waverec_shape_mismatch_error(): c = pywt.wavedec(np.ones(16), 'haar') # truncate a detail coefficient to an incorrect shape c[3] = c[3][:-1] > assert_raises(ValueError, pywt.waverec, c, 'haar', axis=1) pywt/tests/test_multilevel.py:763: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:173: in waverec raise np.AxisError("Axis greater than coefficient dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_wavedec2_axes_errors ___________________________ def wavedec2(data, wavelet, mode='symmetric', level=None, axes=(-2, -1)): """ Multilevel 2D Discrete Wavelet Transform. Parameters ---------- data : ndarray 2D input data wavelet : Wavelet object or name string, or 2-tuple of wavelets Wavelet to use. This can also be a tuple containing a wavelet to apply along each axis in ``axes``. mode : str or 2-tuple of str, optional Signal extension mode, see :ref:`Modes `. This can also be a tuple containing a mode to apply along each axis in ``axes``. level : int, optional Decomposition level (must be >= 0). If level is None (default) then it will be calculated using the ``dwt_max_level`` function. axes : 2-tuple of ints, optional Axes over which to compute the DWT. Repeated elements are not allowed. Returns ------- [cAn, (cHn, cVn, cDn), ... (cH1, cV1, cD1)] : list Coefficients list. For user-specified ``axes``, ``cH*`` corresponds to ``axes[0]`` while ``cV*`` corresponds to ``axes[1]``. The first element returned is the approximation coefficients for the nth level of decomposition. Remaining elements are tuples of detail coefficients in descending order of decomposition level. (i.e. ``cH1`` are the horizontal detail coefficients at the first level) Examples -------- >>> import pywt >>> import numpy as np >>> coeffs = pywt.wavedec2(np.ones((4,4)), 'db1') >>> # Levels: >>> len(coeffs)-1 2 >>> pywt.waverec2(coeffs, 'db1') array([[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]]) """ data = np.asarray(data) if data.ndim < 2: raise ValueError("Expected input data to have at least 2 dimensions.") axes = tuple(axes) if len(axes) != 2: raise ValueError("Expected 2 axes") if len(axes) != len(set(axes)): raise ValueError("The axes passed to wavedec2 must be unique.") try: > axes_sizes = [data.shape[ax] for ax in axes] E IndexError: tuple index out of range pywt/_multilevel.py:234: IndexError During handling of the above exception, another exception occurred: def test_wavedec2_axes_errors(): data = np.ones((4, 4)) # integer axes not allowed assert_raises(TypeError, pywt.wavedec2, data, 'haar', axes=1) # non-unique axes not allowed assert_raises(ValueError, pywt.wavedec2, data, 'haar', axes=(0, 0)) # out of range axis not allowed > assert_raises(ValueError, pywt.wavedec2, data, 'haar', axes=(0, 2)) pywt/tests/test_multilevel.py:773: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:236: in wavedec2 raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_waverec2_axes_errors ___________________________ def test_waverec2_axes_errors(): data = np.ones((4, 4)) c = pywt.wavedec2(data, 'haar') # integer axes not allowed assert_raises(TypeError, pywt.waverec2, c, 'haar', axes=1) # non-unique axes not allowed assert_raises(ValueError, pywt.waverec2, c, 'haar', axes=(0, 0)) # out of range axis not allowed > assert_raises(ValueError, pywt.waverec2, c, 'haar', axes=(0, 2)) pywt/tests/test_multilevel.py:784: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:335: in waverec2 a = idwt2((a[idxs], d), wavelet, mode, axes) pywt/_multidim.py:118: in idwt2 return idwtn(coeffs, wavelet, mode, axes) pywt/_multidim.py:294: in idwtn raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_wavedecn_axes_errors ___________________________ def _prep_axes_wavedecn(shape, axes): if len(shape) < 1: raise ValueError("Expected at least 1D input data.") ndim = len(shape) if np.isscalar(axes): axes = (axes, ) if axes is None: axes = range(ndim) else: axes = tuple(axes) if len(axes) != len(set(axes)): raise ValueError("The axes passed to wavedecn must be unique.") try: > axes_shapes = [shape[ax] for ax in axes] E IndexError: tuple index out of range pywt/_multilevel.py:353: IndexError During handling of the above exception, another exception occurred: def test_wavedecn_axes_errors(): data = np.ones((8, 8, 8)) # repeated axes not allowed assert_raises(ValueError, pywt.wavedecn, data, 'haar', axes=(1, 1)) # out of range axis not allowed > assert_raises(ValueError, pywt.wavedecn, data, 'haar', axes=(0, 1, 3)) pywt/tests/test_multilevel.py:792: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:425: in wavedecn axes, axes_shapes, ndim_transform = _prep_axes_wavedecn(data.shape, axes) pywt/_multilevel.py:355: in _prep_axes_wavedecn raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError __________________________ test_waverecn_axes_errors ___________________________ def test_waverecn_axes_errors(): data = np.ones((8, 8, 8)) c = pywt.wavedecn(data, 'haar') # repeated axes not allowed assert_raises(ValueError, pywt.waverecn, c, 'haar', axes=(1, 1)) # out of range axis not allowed > assert_raises(ValueError, pywt.waverecn, c, 'haar', axes=(0, 1, 3)) pywt/tests/test_multilevel.py:801: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:576: in waverecn a = idwtn(d, wavelet, mode, axes) pywt/_multidim.py:294: in idwtn raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ___________________ test_fswavedecn_fswaverecn_axes_subsets ____________________ def _check_fswavedecn_axes(data, axes): """Axes checks common to fswavedecn, fswaverecn.""" if len(axes) != len(set(axes)): raise np.AxisError("The axes passed to fswavedecn must be unique.") try: > [data.shape[ax] for ax in axes] E IndexError: tuple index out of range pywt/_multilevel.py:1199: IndexError During handling of the above exception, another exception occurred: def test_fswavedecn_fswaverecn_axes_subsets(): """Fully separable DWT over only a subset of axes""" rstate = np.random.RandomState(0) # use anisotropic data to result in unique number of levels per axis data = rstate.standard_normal((4, 8, 16, 32)) # test all combinations of 3 out of 4 axes transformed for axes in combinations((0, 1, 2, 3), 3): T = pywt.fswavedecn(data, 'haar', axes=axes) rec = pywt.fswaverecn(T) assert_allclose(rec, data, atol=1e-14) # some axes exceed data dimensions > assert_raises(ValueError, pywt.fswavedecn, data, 'haar', axes=(1, 5)) pywt/tests/test_multilevel.py:931: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_multilevel.py:1463: in fswavedecn _check_fswavedecn_axes(data, axes) pywt/_multilevel.py:1201: in _check_fswavedecn_axes raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError ________________________________ test_swt_axis _________________________________ def test_swt_axis(): x = [3, 7, 1, 3, -2, 6, 4, 6] db1 = pywt.Wavelet('db1') (cA2, cD2), (cA1, cD1) = pywt.swt(x, db1, level=2) # test cases use 2D arrays based on tiling x along an axis and then # calling swt along the other axis. for order in ['C', 'F']: # test SWT of 2D data along default axis (-1) x_2d = np.asarray(x).reshape((1, -1)) x_2d = np.concatenate((x_2d, )*5, axis=0) if order == 'C': x_2d = np.ascontiguousarray(x_2d) elif order == 'F': x_2d = np.asfortranarray(x_2d) (cA2_2d, cD2_2d), (cA1_2d, cD1_2d) = pywt.swt(x_2d, db1, level=2) for c in [cA2_2d, cD2_2d, cA1_2d, cD1_2d]: assert_(c.shape == x_2d.shape) # each row should match the 1D result for row in cA1_2d: assert_array_equal(row, cA1) for row in cA2_2d: assert_array_equal(row, cA2) for row in cD1_2d: assert_array_equal(row, cD1) for row in cD2_2d: assert_array_equal(row, cD2) # test SWT of 2D data along other axis (0) x_2d = np.asarray(x).reshape((-1, 1)) x_2d = np.concatenate((x_2d, )*5, axis=1) if order == 'C': x_2d = np.ascontiguousarray(x_2d) elif order == 'F': x_2d = np.asfortranarray(x_2d) (cA2_2d, cD2_2d), (cA1_2d, cD1_2d) = pywt.swt(x_2d, db1, level=2, axis=0) for c in [cA2_2d, cD2_2d, cA1_2d, cD1_2d]: assert_(c.shape == x_2d.shape) # each column should match the 1D result for row in cA1_2d.transpose((1, 0)): assert_array_equal(row, cA1) for row in cA2_2d.transpose((1, 0)): assert_array_equal(row, cA2) for row in cD1_2d.transpose((1, 0)): assert_array_equal(row, cD1) for row in cD2_2d.transpose((1, 0)): assert_array_equal(row, cD2) # axis too large > assert_raises(ValueError, pywt.swt, x, db1, level=2, axis=5) pywt/tests/test_swt.py:130: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.13/unittest/case.py:795: in assertRaises return context.handle('assertRaises', args, kwargs) /usr/lib64/python3.13/unittest/case.py:238: in handle callable_obj(*args, **kwargs) pywt/_swt.py:143: in swt raise np.AxisError("Axis greater than data dimensions") _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) E AttributeError: module 'numpy' has no attribute 'AxisError' /usr/lib64/python3.13/site-packages/numpy/__init__.py:414: AttributeError =============================== warnings summary =============================== pywt/tests/test_concurrent.py::test_concurrent_cwt pywt/tests/test_cwt_wavelets.py::test_cwt_complex[float32-1e-05-conv] pywt/tests/test_cwt_wavelets.py::test_cwt_complex[float32-1e-05-fft] pywt/tests/test_cwt_wavelets.py::test_cwt_complex[float64-1e-13-conv] pywt/tests/test_cwt_wavelets.py::test_cwt_complex[float64-1e-13-fft] pywt/tests/test_cwt_wavelets.py::test_cwt_batch[0-conv] pywt/tests/test_cwt_wavelets.py::test_cwt_batch[0-fft] pywt/tests/test_cwt_wavelets.py::test_cwt_batch[1-conv] pywt/tests/test_cwt_wavelets.py::test_cwt_batch[1-fft] /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/data/_readers.py:187: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning. sst_csv = np.load(fname)['sst_csv'] pywt/tests/test_matlab_compatibility_cwt.py: 21 warnings /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_matlab_compatibility_cwt.py:142: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning. psi = matlab_result_dict_cwt[psi_key] pywt/tests/test_matlab_compatibility_cwt.py: 21 warnings /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_matlab_compatibility_cwt.py:130: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning. coefs = matlab_result_dict_cwt[coefs_key] pywt/tests/test_wavelet.py::test_custom_wavelet /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_wavelet.py:173: DeprecationWarning: Bitwise inversion '~' on bool is deprecated and will be removed in Python 3.16. This returns the bitwise inversion of the underlying int object and is usually not what you expect from negating a bool. Use the 'not' operator for boolean negation or ~int(x) if you really want the bitwise inversion of the underlying int. assert_(~haar_custom2.orthogonal) pywt/tests/test_wavelet.py::test_custom_wavelet /builddir/build/BUILD/python-pywt-1.3.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/pywt/tests/test_wavelet.py:174: DeprecationWarning: Bitwise inversion '~' on bool is deprecated and will be removed in Python 3.16. This returns the bitwise inversion of the underlying int object and is usually not what you expect from negating a bool. Use the 'not' operator for boolean negation or ~int(x) if you really want the bitwise inversion of the underlying int. assert_(~haar_custom2.biorthogonal) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================== short test summary info ============================ FAILED pywt/tests/test_dwt_idwt.py::test_dwt_idwt_axis_excess - AttributeErro... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1-1] - AttributeErro... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1-2] - AttributeErro... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-dwt-1--3] - AttributeErr... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-dwt-2-2] - AttributeErro... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-dwt-2--3] - AttributeErr... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-swt-1-1] - AttributeErro... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-swt-1-2] - AttributeErro... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-swt-1--3] - AttributeErr... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-swt-2-2] - AttributeErro... FAILED pywt/tests/test_mra.py::test_mra_axis[float64-swt-2--3] - AttributeErr... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-dwt-1-1] - AttributeE... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-dwt-1-2] - AttributeE... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-dwt-1--3] - Attribute... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-dwt-2-2] - AttributeE... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-dwt-2--3] - Attribute... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-swt-1-1] - AttributeE... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-swt-1-2] - AttributeE... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-swt-1--3] - Attribute... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-swt-2-2] - AttributeE... FAILED pywt/tests/test_mra.py::test_mra_axis[complex128-swt-2--3] - Attribute... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes2-2-dwt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes2-2-swt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes3-2-dwt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes3-2-swt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes4-2-dwt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes4-2-swt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes4-3-dwt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[float64-axes4-3-swt2] - Attribu... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes2-2-dwt2] - Attr... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes2-2-swt2] - Attr... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes3-2-dwt2] - Attr... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes3-2-swt2] - Attr... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-2-dwt2] - Attr... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-2-swt2] - Attr... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-3-dwt2] - Attr... FAILED pywt/tests/test_mra.py::test_mra2_axes[complex128-axes4-3-swt2] - Attr... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes2] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes3] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes4] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes5] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes6] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes7] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes10] - AttributeError: ... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes12] - AttributeError: ... FAILED pywt/tests/test_mra.py::test_mran_axes[dwtn-axes13] - AttributeError: ... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes2] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes3] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes4] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes5] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes6] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes7] - AttributeError: m... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes10] - AttributeError: ... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes12] - AttributeError: ... FAILED pywt/tests/test_mra.py::test_mran_axes[swtn-axes13] - AttributeError: ... FAILED pywt/tests/test_multilevel.py::test_wavedec_axis_error - AttributeErro... FAILED pywt/tests/test_multilevel.py::test_waverec_axis_error - AttributeErro... FAILED pywt/tests/test_multilevel.py::test_waverec_shape_mismatch_error - Att... FAILED pywt/tests/test_multilevel.py::test_wavedec2_axes_errors - AttributeEr... FAILED pywt/tests/test_multilevel.py::test_waverec2_axes_errors - AttributeEr... FAILED pywt/tests/test_multilevel.py::test_wavedecn_axes_errors - AttributeEr... FAILED pywt/tests/test_multilevel.py::test_waverecn_axes_errors - AttributeEr... FAILED pywt/tests/test_multilevel.py::test_fswavedecn_fswaverecn_axes_subsets FAILED pywt/tests/test_swt.py::test_swt_axis - AttributeError: module 'numpy'... ====== 64 failed, 969 passed, 2 skipped, 53 warnings in 79.36s (0:01:19) ======= RPM build errors: error: Bad exit status from /var/tmp/rpm-tmp.Ggd4qs (%check) Bad exit status from /var/tmp/rpm-tmp.Ggd4qs (%check) Finish: rpmbuild python-pywt-1.3.0-9.fc42.src.rpm Finish: build phase for python-pywt-1.3.0-9.fc42.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1736229982.287799/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-pywt-1.3.0-9.fc42.src.rpm) Config(fedora-rawhide-x86_64) 3 minutes 17 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 872ed563251c49d8b91f7583e4343c65 -D /var/lib/mock/fedora-rawhide-x86_64-1736229982.287799/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.ps5w3n6i:/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;\007"' '--setenv=PS1= \s-\v\$ ' --setenv=LANG=C.UTF-8 --resolv-conf=off bash --login -c '/usr/bin/rpmbuild -bb --target x86_64 --nodeps /builddir/build/originals/python-pywt.spec' Copr build error: Build failed