>>> py3-bayeso: Building community/py3-bayeso 0.6.0-r1 (using abuild 3.15.0-r0) started Sun, 12 Oct 2025 15:30:58 +0000 >>> py3-bayeso: Validating /home/udu/aports/community/py3-bayeso/APKBUILD... >>> py3-bayeso: Analyzing dependencies... >>> py3-bayeso: Installing for build: build-base python3 py3-cma py3-numpy py3-scipy py3-tqdm py3-gpep517 py3-setuptools py3-wheel py3-pytest-xdist py3-pytest-benchmark py3-pytest-timeout WARNING: opening /home/udu/packages//community: No such file or directory WARNING: opening /home/udu/packages//main: No such file or directory fetch http://dl-cdn.alpinelinux.org/alpine/v3.22/main/x86_64/APKINDEX.tar.gz fetch http://dl-cdn.alpinelinux.org/alpine/v3.22/community/x86_64/APKINDEX.tar.gz (1/92) Installing libquadmath (14.2.0-r6) (2/92) Installing libgfortran (14.2.0-r6) (3/92) Installing openblas (0.3.28-r0) (4/92) Installing py3-numpy (2.2.4-r1) (5/92) Installing py3-numpy-tests (2.2.4-r1) (6/92) Installing py3-numpy-pyc (2.2.4-r1) (7/92) Installing py3-contourpy (1.3.1-r0) (8/92) Installing py3-contourpy-pyc (1.3.1-r0) (9/92) Installing py3-cycler (0.12.1-r1) (10/92) Installing py3-cycler-pyc (0.12.1-r1) (11/92) Installing py3-six (1.17.0-r0) (12/92) Installing py3-six-pyc (1.17.0-r0) (13/92) Installing py3-dateutil (2.9.0-r1) (14/92) Installing py3-dateutil-pyc (2.9.0-r1) (15/92) Installing py3-fonttools (4.58.0-r0) (16/92) Installing py3-fonttools-pyc (4.58.0-r0) (17/92) Installing py3-kiwisolver (1.4.6-r0) (18/92) Installing py3-kiwisolver-pyc (1.4.6-r0) (19/92) Installing py3-matplotlib-fonts (3.9.3-r0) (20/92) Installing py3-matplotlib-data (3.9.3-r0) (21/92) Installing py3-parsing (3.2.3-r0) (22/92) Installing py3-parsing-pyc (3.2.3-r0) (23/92) Installing py3-packaging (25.0-r0) (24/92) Installing py3-packaging-pyc (25.0-r0) (25/92) Installing libpng (1.6.47-r0) (26/92) Installing freetype (2.13.3-r0) (27/92) Installing libimagequant (4.2.2-r0) (28/92) Installing libjpeg-turbo (3.1.0-r0) (29/92) Installing lcms2 (2.16-r0) (30/92) Installing openjpeg (2.5.3-r0) (31/92) Installing libsharpyuv (1.5.0-r0) (32/92) Installing libwebp (1.5.0-r0) (33/92) Installing tiff (4.7.1-r0) (34/92) Installing libwebpdemux (1.5.0-r0) (35/92) Installing libwebpmux (1.5.0-r0) (36/92) Installing libxau (1.0.12-r0) (37/92) Installing libmd (1.1.0-r0) (38/92) Installing libbsd (0.12.2-r0) (39/92) Installing libxdmcp (1.1.5-r1) (40/92) Installing libxcb (1.17.0-r0) (41/92) Installing py3-pillow (11.2.1-r0) (42/92) Installing py3-pillow-pyc (11.2.1-r0) (43/92) Installing qhull (2020.2-r3) (44/92) Installing py3-matplotlib (3.9.3-r0) (45/92) Installing py3-matplotlib-pyc (3.9.3-r0) (46/92) Installing py3-cma (4.2.0-r0) (47/92) Installing py3-cma-pyc (4.2.0-r0) (48/92) Installing py3-platformdirs (4.3.8-r0) (49/92) Installing py3-platformdirs-pyc (4.3.8-r0) (50/92) Installing py3-certifi (2025.4.26-r0) (51/92) Installing py3-certifi-pyc (2025.4.26-r0) (52/92) Installing py3-charset-normalizer (3.4.2-r0) (53/92) Installing py3-charset-normalizer-pyc (3.4.2-r0) (54/92) Installing py3-idna (3.10-r0) (55/92) Installing py3-idna-pyc (3.10-r0) (56/92) Installing py3-urllib3 (1.26.20-r0) (57/92) Installing py3-urllib3-pyc (1.26.20-r0) (58/92) Installing py3-requests (2.32.5-r0) (59/92) Installing py3-requests-pyc (2.32.5-r0) (60/92) Installing py3-pooch (1.8.2-r1) (61/92) Installing py3-pooch-pyc (1.8.2-r1) (62/92) Installing py3-scipy (1.13.1-r1) (63/92) Installing py3-scipy-pyc (1.13.1-r1) (64/92) Installing py3-tqdm (4.67.1-r0) (65/92) Installing py3-tqdm-pyc (4.67.1-r0) (66/92) Installing py3-installer (0.7.0-r2) (67/92) Installing py3-installer-pyc (0.7.0-r2) (68/92) Installing py3-gpep517 (19-r0) (69/92) Installing py3-gpep517-pyc (19-r0) (70/92) Installing py3-setuptools (80.9.0-r0) (71/92) Installing py3-setuptools-pyc (80.9.0-r0) (72/92) Installing py3-wheel (0.46.1-r0) (73/92) Installing py3-wheel-pyc (0.46.1-r0) (74/92) Installing py3-execnet (2.1.1-r0) (75/92) Installing py3-execnet-pyc (2.1.1-r0) (76/92) Installing py3-iniconfig (2.1.0-r0) (77/92) Installing py3-iniconfig-pyc (2.1.0-r0) (78/92) Installing py3-pluggy (1.5.0-r0) (79/92) Installing py3-pluggy-pyc (1.5.0-r0) (80/92) Installing py3-py (1.11.0-r4) (81/92) Installing py3-py-pyc (1.11.0-r4) (82/92) Installing py3-pytest (8.3.5-r0) (83/92) Installing py3-pytest-pyc (8.3.5-r0) (84/92) Installing py3-pytest-xdist (3.6.1-r0) (85/92) Installing py3-pytest-xdist-pyc (3.6.1-r0) (86/92) Installing py3-py-cpuinfo (9.0.0-r4) (87/92) Installing py3-py-cpuinfo-pyc (9.0.0-r4) (88/92) Installing py3-pytest-benchmark (4.0.0-r4) (89/92) Installing py3-pytest-benchmark-pyc (4.0.0-r4) (90/92) Installing py3-pytest-timeout (2.3.1-r1) (91/92) Installing py3-pytest-timeout-pyc (2.3.1-r1) (92/92) Installing .makedepends-py3-bayeso (20251012.153059) Executing busybox-1.37.0-r19.trigger OK: 505 MiB in 181 packages >>> py3-bayeso: Cleaning up srcdir >>> py3-bayeso: Cleaning up pkgdir >>> py3-bayeso: Cleaning up tmpdir >>> py3-bayeso: Fetching https://github.com/jungtaekkim/bayeso/archive/v0.6.0/bayeso-0.6.0.tar.gz >>> py3-bayeso: Fetching https://github.com/jungtaekkim/bayeso/archive/v0.6.0/bayeso-0.6.0.tar.gz >>> py3-bayeso: Checking sha512sums... bayeso-0.6.0.tar.gz: OK >>> py3-bayeso: Unpacking /var/cache/distfiles/bayeso-0.6.0.tar.gz... 2025-10-12 15:31:01,492 gpep517 INFO Building wheel via backend setuptools.build_meta /usr/lib/python3.12/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated !! ******************************************************************************** Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). By 2026-Feb-18, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! corresp(dist, value, root_dir) /usr/lib/python3.12/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: MIT License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! dist._finalize_license_expression() /usr/lib/python3.12/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: MIT License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! self._finalize_license_expression() 2025-10-12 15:31:01,517 root INFO running bdist_wheel 2025-10-12 15:31:01,525 root INFO running build 2025-10-12 15:31:01,525 root INFO running build_py 2025-10-12 15:31:01,527 root INFO creating build/lib/bayeso 2025-10-12 15:31:01,527 root INFO copying bayeso/covariance.py -> build/lib/bayeso 2025-10-12 15:31:01,528 root INFO copying bayeso/thompson_sampling.py -> build/lib/bayeso 2025-10-12 15:31:01,528 root INFO copying bayeso/__init__.py -> build/lib/bayeso 2025-10-12 15:31:01,528 root INFO copying bayeso/constants.py -> build/lib/bayeso 2025-10-12 15:31:01,528 root INFO copying bayeso/acquisition.py -> build/lib/bayeso 2025-10-12 15:31:01,528 root INFO creating build/lib/bayeso/bo 2025-10-12 15:31:01,528 root INFO copying bayeso/bo/bo_w_tp.py -> build/lib/bayeso/bo 2025-10-12 15:31:01,528 root INFO copying bayeso/bo/base_bo.py -> build/lib/bayeso/bo 2025-10-12 15:31:01,528 root INFO copying bayeso/bo/bo_w_trees.py -> build/lib/bayeso/bo 2025-10-12 15:31:01,528 root INFO copying bayeso/bo/__init__.py -> build/lib/bayeso/bo 2025-10-12 15:31:01,528 root INFO copying bayeso/bo/bo_w_gp.py -> build/lib/bayeso/bo 2025-10-12 15:31:01,529 root INFO creating build/lib/bayeso/gp 2025-10-12 15:31:01,529 root INFO copying bayeso/gp/gp_likelihood.py -> build/lib/bayeso/gp 2025-10-12 15:31:01,529 root INFO copying bayeso/gp/__init__.py -> build/lib/bayeso/gp 2025-10-12 15:31:01,529 root INFO copying bayeso/gp/gp.py -> build/lib/bayeso/gp 2025-10-12 15:31:01,529 root INFO copying bayeso/gp/gp_kernel.py -> build/lib/bayeso/gp 2025-10-12 15:31:01,529 root INFO creating build/lib/bayeso/tp 2025-10-12 15:31:01,529 root INFO copying bayeso/tp/tp_likelihood.py -> build/lib/bayeso/tp 2025-10-12 15:31:01,529 root INFO copying bayeso/tp/tp_kernel.py -> build/lib/bayeso/tp 2025-10-12 15:31:01,529 root INFO copying bayeso/tp/tp.py -> build/lib/bayeso/tp 2025-10-12 15:31:01,529 root INFO copying bayeso/tp/__init__.py -> build/lib/bayeso/tp 2025-10-12 15:31:01,530 root INFO creating build/lib/bayeso/trees 2025-10-12 15:31:01,530 root INFO copying bayeso/trees/trees_common.py -> build/lib/bayeso/trees 2025-10-12 15:31:01,530 root INFO copying bayeso/trees/trees_generic_trees.py -> build/lib/bayeso/trees 2025-10-12 15:31:01,530 root INFO copying bayeso/trees/__init__.py -> build/lib/bayeso/trees 2025-10-12 15:31:01,530 root INFO copying bayeso/trees/trees_random_forest.py -> build/lib/bayeso/trees 2025-10-12 15:31:01,530 root INFO creating build/lib/bayeso/wrappers 2025-10-12 15:31:01,530 root INFO copying bayeso/wrappers/wrappers_bo_function.py -> build/lib/bayeso/wrappers 2025-10-12 15:31:01,530 root INFO copying bayeso/wrappers/wrappers_bo_class.py -> build/lib/bayeso/wrappers 2025-10-12 15:31:01,530 root INFO copying bayeso/wrappers/__init__.py -> build/lib/bayeso/wrappers 2025-10-12 15:31:01,530 root INFO creating build/lib/bayeso/utils 2025-10-12 15:31:01,530 root INFO copying bayeso/utils/utils_covariance.py -> build/lib/bayeso/utils 2025-10-12 15:31:01,530 root INFO copying bayeso/utils/utils_logger.py -> build/lib/bayeso/utils 2025-10-12 15:31:01,531 root INFO copying bayeso/utils/utils_common.py -> build/lib/bayeso/utils 2025-10-12 15:31:01,531 root INFO copying bayeso/utils/utils_bo.py -> build/lib/bayeso/utils 2025-10-12 15:31:01,531 root INFO copying bayeso/utils/utils_gp.py -> build/lib/bayeso/utils 2025-10-12 15:31:01,531 root INFO copying bayeso/utils/__init__.py -> build/lib/bayeso/utils 2025-10-12 15:31:01,531 root INFO copying bayeso/utils/utils_plotting.py -> build/lib/bayeso/utils 2025-10-12 15:31:01,531 root INFO running egg_info 2025-10-12 15:31:01,533 root INFO creating bayeso.egg-info 2025-10-12 15:31:01,533 root INFO writing bayeso.egg-info/PKG-INFO 2025-10-12 15:31:01,534 root INFO writing dependency_links to bayeso.egg-info/dependency_links.txt 2025-10-12 15:31:01,534 root INFO writing requirements to bayeso.egg-info/requires.txt 2025-10-12 15:31:01,534 root INFO writing top-level names to bayeso.egg-info/top_level.txt 2025-10-12 15:31:01,534 root INFO writing manifest file 'bayeso.egg-info/SOURCES.txt' 2025-10-12 15:31:01,537 root INFO reading manifest file 'bayeso.egg-info/SOURCES.txt' 2025-10-12 15:31:01,537 root INFO reading manifest template 'MANIFEST.in' 2025-10-12 15:31:01,537 root INFO adding license file 'LICENSE' 2025-10-12 15:31:01,538 root INFO writing manifest file 'bayeso.egg-info/SOURCES.txt' 2025-10-12 15:31:01,542 root INFO installing to build/bdist.linux-x86_64/wheel 2025-10-12 15:31:01,542 root INFO running install 2025-10-12 15:31:01,546 root INFO running install_lib 2025-10-12 15:31:01,548 root INFO creating build/bdist.linux-x86_64/wheel 2025-10-12 15:31:01,548 root INFO creating build/bdist.linux-x86_64/wheel/bayeso 2025-10-12 15:31:01,548 root INFO creating build/bdist.linux-x86_64/wheel/bayeso/wrappers 2025-10-12 15:31:01,548 root INFO copying build/lib/bayeso/wrappers/wrappers_bo_function.py -> build/bdist.linux-x86_64/wheel/./bayeso/wrappers 2025-10-12 15:31:01,548 root INFO copying build/lib/bayeso/wrappers/wrappers_bo_class.py -> build/bdist.linux-x86_64/wheel/./bayeso/wrappers 2025-10-12 15:31:01,548 root INFO copying build/lib/bayeso/wrappers/__init__.py -> build/bdist.linux-x86_64/wheel/./bayeso/wrappers 2025-10-12 15:31:01,548 root INFO copying build/lib/bayeso/covariance.py -> build/bdist.linux-x86_64/wheel/./bayeso 2025-10-12 15:31:01,548 root INFO creating build/bdist.linux-x86_64/wheel/bayeso/utils 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/utils/utils_covariance.py -> build/bdist.linux-x86_64/wheel/./bayeso/utils 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/utils/utils_logger.py -> build/bdist.linux-x86_64/wheel/./bayeso/utils 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/utils/utils_common.py -> build/bdist.linux-x86_64/wheel/./bayeso/utils 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/utils/utils_bo.py -> build/bdist.linux-x86_64/wheel/./bayeso/utils 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/utils/utils_gp.py -> build/bdist.linux-x86_64/wheel/./bayeso/utils 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/utils/__init__.py -> build/bdist.linux-x86_64/wheel/./bayeso/utils 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/utils/utils_plotting.py -> build/bdist.linux-x86_64/wheel/./bayeso/utils 2025-10-12 15:31:01,549 root INFO creating build/bdist.linux-x86_64/wheel/bayeso/tp 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/tp/tp_likelihood.py -> build/bdist.linux-x86_64/wheel/./bayeso/tp 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/tp/tp_kernel.py -> build/bdist.linux-x86_64/wheel/./bayeso/tp 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/tp/tp.py -> build/bdist.linux-x86_64/wheel/./bayeso/tp 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/tp/__init__.py -> build/bdist.linux-x86_64/wheel/./bayeso/tp 2025-10-12 15:31:01,549 root INFO creating build/bdist.linux-x86_64/wheel/bayeso/gp 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/gp/gp_likelihood.py -> build/bdist.linux-x86_64/wheel/./bayeso/gp 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/gp/__init__.py -> build/bdist.linux-x86_64/wheel/./bayeso/gp 2025-10-12 15:31:01,549 root INFO copying build/lib/bayeso/gp/gp.py -> build/bdist.linux-x86_64/wheel/./bayeso/gp 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/gp/gp_kernel.py -> build/bdist.linux-x86_64/wheel/./bayeso/gp 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/thompson_sampling.py -> build/bdist.linux-x86_64/wheel/./bayeso 2025-10-12 15:31:01,550 root INFO creating build/bdist.linux-x86_64/wheel/bayeso/bo 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/bo/bo_w_tp.py -> build/bdist.linux-x86_64/wheel/./bayeso/bo 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/bo/base_bo.py -> build/bdist.linux-x86_64/wheel/./bayeso/bo 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/bo/bo_w_trees.py -> build/bdist.linux-x86_64/wheel/./bayeso/bo 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/bo/__init__.py -> build/bdist.linux-x86_64/wheel/./bayeso/bo 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/bo/bo_w_gp.py -> build/bdist.linux-x86_64/wheel/./bayeso/bo 2025-10-12 15:31:01,550 root INFO creating build/bdist.linux-x86_64/wheel/bayeso/trees 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/trees/trees_common.py -> build/bdist.linux-x86_64/wheel/./bayeso/trees 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/trees/trees_generic_trees.py -> build/bdist.linux-x86_64/wheel/./bayeso/trees 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/trees/__init__.py -> build/bdist.linux-x86_64/wheel/./bayeso/trees 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/trees/trees_random_forest.py -> build/bdist.linux-x86_64/wheel/./bayeso/trees 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/__init__.py -> build/bdist.linux-x86_64/wheel/./bayeso 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/constants.py -> build/bdist.linux-x86_64/wheel/./bayeso 2025-10-12 15:31:01,550 root INFO copying build/lib/bayeso/acquisition.py -> build/bdist.linux-x86_64/wheel/./bayeso 2025-10-12 15:31:01,550 root INFO running install_egg_info 2025-10-12 15:31:01,552 root INFO Copying bayeso.egg-info to build/bdist.linux-x86_64/wheel/./bayeso-0.6.0-py3.12.egg-info 2025-10-12 15:31:01,552 root INFO running install_scripts 2025-10-12 15:31:01,553 root INFO creating build/bdist.linux-x86_64/wheel/bayeso-0.6.0.dist-info/WHEEL 2025-10-12 15:31:01,553 wheel INFO creating '/home/udu/aports/community/py3-bayeso/src/bayeso-0.6.0/.dist/.tmp-r1ez35cd/bayeso-0.6.0-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-10-12 15:31:01,553 wheel INFO adding 'bayeso/__init__.py' 2025-10-12 15:31:01,553 wheel INFO adding 'bayeso/acquisition.py' 2025-10-12 15:31:01,553 wheel INFO adding 'bayeso/constants.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/covariance.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/thompson_sampling.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/bo/__init__.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/bo/base_bo.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/bo/bo_w_gp.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/bo/bo_w_tp.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/bo/bo_w_trees.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/gp/__init__.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/gp/gp.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/gp/gp_kernel.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/gp/gp_likelihood.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/tp/__init__.py' 2025-10-12 15:31:01,554 wheel INFO adding 'bayeso/tp/tp.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/tp/tp_kernel.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/tp/tp_likelihood.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/trees/__init__.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/trees/trees_common.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/trees/trees_generic_trees.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/trees/trees_random_forest.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/utils/__init__.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/utils/utils_bo.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/utils/utils_common.py' 2025-10-12 15:31:01,555 wheel INFO adding 'bayeso/utils/utils_covariance.py' 2025-10-12 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bayeso-0.6.0-py3-none-any.whl /usr/lib/python3.12/site-packages/pytest_benchmark/logger.py:46: PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment. warner(PytestBenchmarkWarning(text)) ============================================================================================================================================ test session starts ============================================================================================================================================= platform linux -- Python 3.12.11, pytest-8.3.5, pluggy-1.5.0 benchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000) rootdir: /home/udu/aports/community/py3-bayeso/src/bayeso-0.6.0 configfile: pytest.ini plugins: xdist-3.6.1, benchmark-4.0.0, timeout-2.3.1 timeout: 30.0s timeout method: signal timeout func_only: False created: 20/20 workers 20 workers [252 items] ......................................................................................................................................................................................................................FF.............F...................... [100%] ================================================================================================================================================== FAILURES ================================================================================================================================================== ___________________________________________________________________________________________________________________________________________ test_predict_by_trees ____________________________________________________________________________________________________________________________________________ [gw14] linux -- Python 3.12.11 /home/udu/aports/community/py3-bayeso/src/bayeso-0.6.0/.testenv/bin/python3 def test_predict_by_trees(): np.random.seed(42) X = np.reshape(np.arange(0, 40), (10, 4)) Y = np.random.randn(10, 1) depth_max = 4 size_min_leaf = 2 num_features = 2 split_random_location = True node_1 = package_target._split(X, Y, num_features, split_random_location) package_target.split(node_1, depth_max, size_min_leaf, num_features, split_random_location, 1) node_2 = package_target._split(X, Y, num_features, split_random_location) package_target.split(node_2, depth_max, size_min_leaf, num_features, split_random_location, 1) node_3 = package_target._split(X, Y, num_features, split_random_location) package_target.split(node_3, depth_max, size_min_leaf, num_features, split_random_location, 1) list_trees = [node_1, node_2, node_3] with pytest.raises(AssertionError) as error: package_target.predict_by_trees(np.array([4.0, 2.0, 3.0, 1.0]), node_1) with pytest.raises(AssertionError) as error: package_target.predict_by_trees(np.array([4.0, 2.0, 3.0, 1.0]), 'abc') with pytest.raises(AssertionError) as error: package_target.predict_by_trees(np.array([4.0, 2.0, 3.0, 1.0]), list_trees) with pytest.raises(AssertionError) as error: package_target.predict_by_trees('abc', list_trees) means, stds = package_target.predict_by_trees(X, list_trees) print(means) print(stds) means_truth = np.array([ [0.33710618], [0.1254467], [0.68947573], [0.9866563], [0.16257799], [0.16258346], [0.85148454], [0.55084716], [0.30721653], [0.30721653], ]) stds_truth = np.array([ [0.29842457], [0.33330409], [0.44398864], [0.72536523], [0.74232577], [0.74232284], [0.83388663], [0.5615399], [0.64331582], [0.64331582], ]) assert isinstance(means, np.ndarray) assert isinstance(stds, np.ndarray) assert len(means.shape) == 2 assert len(stds.shape) == 2 assert means.shape[0] == stds.shape[0] == X.shape[0] assert means.shape[1] == stds.shape[1] == 1 assert np.all(np.abs(means - means_truth) < TEST_EPSILON) assert np.all(np.abs(stds - stds_truth) < TEST_EPSILON) X = np.random.randn(1000, 4) > means, stds = package_target.predict_by_trees(X, list_trees) tests/common/test_trees_trees_common.py:576: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ bayeso/utils/utils_common.py:33: in _validate_types return func(*args, **kwargs) bayeso/trees/trees_common.py:528: in predict_by_trees with multiprocessing.Pool(num_cpu) as p: /usr/lib/python3.12/multiprocessing/context.py:119: in Pool return Pool(processes, initializer, initargs, maxtasksperchild, /usr/lib/python3.12/multiprocessing/pool.py:191: in __init__ self._setup_queues() /usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues self._inqueue = self._ctx.SimpleQueue() /usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue return SimpleQueue(ctx=self.get_context()) /usr/lib/python3.12/multiprocessing/queues.py:363: in __init__ self._rlock = ctx.Lock() /usr/lib/python3.12/multiprocessing/context.py:68: in Lock return Lock(ctx=self.get_context()) /usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__ SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , kind = 1, value = 1, maxvalue = 1 def __init__(self, kind, value, maxvalue, *, ctx): if ctx is None: ctx = context._default_context.get_context() self._is_fork_ctx = ctx.get_start_method() == 'fork' unlink_now = sys.platform == 'win32' or self._is_fork_ctx for i in range(100): try: > sl = self._semlock = _multiprocessing.SemLock( kind, value, maxvalue, self._make_name(), unlink_now) E PermissionError: [Errno 13] Permission denied /usr/lib/python3.12/multiprocessing/synchronize.py:57: PermissionError -------------------------------------------------------------------------------------------------------------------------------------------- Captured stdout call -------------------------------------------------------------------------------------------------------------------------------------------- [[0.33710618] [0.1254467 ] [0.68947573] [0.9866563 ] [0.16257799] [0.16258346] [0.85148454] [0.55084716] [0.30721653] [0.30721653]] [[0.29842457] [0.33330409] [0.44398864] [0.72536523] [0.74232577] [0.74232284] [0.83388663] [0.5615399 ] [0.64331582] [0.64331582]] _______________________________________________________________________________________________________________________________________________ test_optimize ________________________________________________________________________________________________________________________________________________ [gw15] linux -- Python 3.12.11 /home/udu/aports/community/py3-bayeso/src/bayeso-0.6.0/.testenv/bin/python3 def test_optimize(): np.random.seed(42) arr_range_1 = np.array([ [0.0, 10.0], [-2.0, 2.0], [-5.0, 5.0], ]) dim_X = arr_range_1.shape[0] num_X = 5 X = np.random.randn(num_X, dim_X) Y = np.random.randn(num_X, 1) model_bo = BO(arr_range_1) num_samples = 1000 with pytest.raises(AssertionError) as error: model_bo.optimize(1, Y) with pytest.raises(AssertionError) as error: model_bo.optimize(X, 1) with pytest.raises(AssertionError) as error: model_bo.optimize(np.random.randn(num_X), Y) with pytest.raises(AssertionError) as error: model_bo.optimize(np.random.randn(num_X, 1), Y) with pytest.raises(AssertionError) as error: model_bo.optimize(X, np.random.randn(num_X)) with pytest.raises(AssertionError) as error: model_bo.optimize(X, np.random.randn(num_X, 2)) with pytest.raises(AssertionError) as error: model_bo.optimize(X, np.random.randn(3, 1)) with pytest.raises(AssertionError) as error: model_bo.optimize(X, Y, str_sampling_method=1) with pytest.raises(AssertionError) as error: model_bo.optimize(X, Y, str_sampling_method='abc') with pytest.raises(AssertionError) as error: model_bo.optimize(X, Y, num_samples='abc') with pytest.raises(AssertionError) as error: model_bo.optimize(X, Y, seed='abc') with pytest.raises(AssertionError) as error: model_bo.optimize(X, Y, seed=1.23) > next_point, dict_info = model_bo.optimize(X, Y, num_samples=num_samples) tests/common/test_bo_bo_w_trees.py:343: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ bayeso/bo/bo_w_trees.py:261: in optimize acquisitions = fun_negative_acquisition(next_points) bayeso/bo/bo_w_trees.py:258: in fun_negative_acquisition = lambda X_test: -1.0 * self.compute_acquisitions( bayeso/bo/bo_w_trees.py:188: in compute_acquisitions pred_mean, pred_std = self.compute_posteriors(X, trees) bayeso/bo/bo_w_trees.py:141: in compute_posteriors pred_mean, pred_std = trees_common.predict_by_trees(X, trees) bayeso/utils/utils_common.py:33: in _validate_types return func(*args, **kwargs) bayeso/trees/trees_common.py:528: in predict_by_trees with multiprocessing.Pool(num_cpu) as p: /usr/lib/python3.12/multiprocessing/context.py:119: in Pool return Pool(processes, initializer, initargs, maxtasksperchild, /usr/lib/python3.12/multiprocessing/pool.py:191: in __init__ self._setup_queues() /usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues self._inqueue = self._ctx.SimpleQueue() /usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue return SimpleQueue(ctx=self.get_context()) /usr/lib/python3.12/multiprocessing/queues.py:363: in __init__ self._rlock = ctx.Lock() /usr/lib/python3.12/multiprocessing/context.py:68: in Lock return Lock(ctx=self.get_context()) /usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__ SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , kind = 1, value = 1, maxvalue = 1 def __init__(self, kind, value, maxvalue, *, ctx): if ctx is None: ctx = context._default_context.get_context() self._is_fork_ctx = ctx.get_start_method() == 'fork' unlink_now = sys.platform == 'win32' or self._is_fork_ctx for i in range(100): try: > sl = self._semlock = _multiprocessing.SemLock( kind, value, maxvalue, self._make_name(), unlink_now) E PermissionError: [Errno 13] Permission denied /usr/lib/python3.12/multiprocessing/synchronize.py:57: PermissionError ________________________________________________________________________________________________________________________________________ test_optimize_str_surrogate _________________________________________________________________________________________________________________________________________ [gw3] linux -- Python 3.12.11 /home/udu/aports/community/py3-bayeso/src/bayeso-0.6.0/.testenv/bin/python3 def test_optimize_str_surrogate(): np.random.seed(42) range_ = np.array([ [-5.0, 5.0], ]) dim_X = range_.shape[0] num_init = 3 num_iter = 5 fun_target = lambda x: 2.0 * x + 1.0 debug = False model_bo = package_target.BayesianOptimization(range_, fun_target, num_iter, str_surrogate='gp', debug=debug) X_, Y_, time_all_, time_surrogate_, time_acq_ = model_bo.optimize(num_init) assert len(X_.shape) == 2 assert len(Y_.shape) == 2 assert len(time_all_.shape) == 1 assert len(time_surrogate_.shape) == 1 assert len(time_acq_.shape) == 1 assert X_.shape[1] == dim_X assert Y_.shape[1] == 1 assert X_.shape[0] == Y_.shape[0] == num_init + num_iter assert time_all_.shape[0] == num_init + num_iter assert time_surrogate_.shape[0] == time_acq_.shape[0] == num_iter model_bo = package_target.BayesianOptimization(range_, fun_target, num_iter, str_surrogate='tp', debug=debug) X_, Y_, time_all_, time_surrogate_, time_acq_ = model_bo.optimize(num_init) assert len(X_.shape) == 2 assert len(Y_.shape) == 2 assert len(time_all_.shape) == 1 assert len(time_surrogate_.shape) == 1 assert len(time_acq_.shape) == 1 assert X_.shape[1] == dim_X assert Y_.shape[1] == 1 assert X_.shape[0] == Y_.shape[0] == num_init + num_iter assert time_all_.shape[0] == num_init + num_iter assert time_surrogate_.shape[0] == time_acq_.shape[0] == num_iter model_bo = package_target.BayesianOptimization(range_, fun_target, num_iter, str_surrogate='rf', str_optimizer_method_bo='random_search', debug=debug) > X_, Y_, time_all_, time_surrogate_, time_acq_ = model_bo.optimize(num_init) tests/common/test_wrappers_bo_class.py:260: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ bayeso/wrappers/wrappers_bo_class.py:533: in optimize X, Y, time_all, time_surrogate, time_acq = self.optimize_with_initial_inputs(X_init) bayeso/wrappers/wrappers_bo_class.py:442: in optimize_with_initial_inputs = self.optimize_with_all_initial_information(X, Y) bayeso/wrappers/wrappers_bo_class.py:362: in optimize_with_all_initial_information next_sample, dict_info = self.optimize_single_iteration(X_, Y_) bayeso/wrappers/wrappers_bo_class.py:299: in optimize_single_iteration next_sample, dict_info = self.model_bo.optimize(X, Y, bayeso/bo/bo_w_trees.py:261: in optimize acquisitions = fun_negative_acquisition(next_points) bayeso/bo/bo_w_trees.py:258: in fun_negative_acquisition = lambda X_test: -1.0 * self.compute_acquisitions( bayeso/bo/bo_w_trees.py:188: in compute_acquisitions pred_mean, pred_std = self.compute_posteriors(X, trees) bayeso/bo/bo_w_trees.py:141: in compute_posteriors pred_mean, pred_std = trees_common.predict_by_trees(X, trees) bayeso/utils/utils_common.py:33: in _validate_types return func(*args, **kwargs) bayeso/trees/trees_common.py:528: in predict_by_trees with multiprocessing.Pool(num_cpu) as p: /usr/lib/python3.12/multiprocessing/context.py:119: in Pool return Pool(processes, initializer, initargs, maxtasksperchild, /usr/lib/python3.12/multiprocessing/pool.py:191: in __init__ self._setup_queues() /usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues self._inqueue = self._ctx.SimpleQueue() /usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue return SimpleQueue(ctx=self.get_context()) /usr/lib/python3.12/multiprocessing/queues.py:363: in __init__ self._rlock = ctx.Lock() /usr/lib/python3.12/multiprocessing/context.py:68: in Lock return Lock(ctx=self.get_context()) /usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__ SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , kind = 1, value = 1, maxvalue = 1 def __init__(self, kind, value, maxvalue, *, ctx): if ctx is None: ctx = context._default_context.get_context() self._is_fork_ctx = ctx.get_start_method() == 'fork' unlink_now = sys.platform == 'win32' or self._is_fork_ctx for i in range(100): try: > sl = self._semlock = _multiprocessing.SemLock( kind, value, maxvalue, self._make_name(), unlink_now) E PermissionError: [Errno 13] Permission denied /usr/lib/python3.12/multiprocessing/synchronize.py:57: PermissionError -------------------------------------------------------------------------------------------------------------------------------------------- Captured stderr call -------------------------------------------------------------------------------------------------------------------------------------------- [INFO-bo_w_gp-10/12/2025-15:31:05] ==================== [INFO-bo_w_gp-10/12/2025-15:31:05] range_X: [[-5.000, 5.000]] [INFO-bo_w_gp-10/12/2025-15:31:05] num_init: 3 [INFO-bo_w_gp-10/12/2025-15:31:05] num_iter: 5 [INFO-bo_w_gp-10/12/2025-15:31:05] str_surrogate: gp [INFO-bo_w_gp-10/12/2025-15:31:05] str_cov: matern52 [INFO-bo_w_gp-10/12/2025-15:31:05] str_acq: ei [INFO-bo_w_gp-10/12/2025-15:31:05] normalize_Y: True [INFO-bo_w_gp-10/12/2025-15:31:05] use_ard: True [INFO-bo_w_gp-10/12/2025-15:31:05] str_initial_method_bo: sobol [INFO-bo_w_gp-10/12/2025-15:31:05] str_sampling_method_ao: sobol [INFO-bo_w_gp-10/12/2025-15:31:05] str_optimizer_method_gp: BFGS [INFO-bo_w_gp-10/12/2025-15:31:05] str_optimizer_method_bo: L-BFGS-B [INFO-bo_w_gp-10/12/2025-15:31:05] str_mlm_method: regular [INFO-bo_w_gp-10/12/2025-15:31:05] str_modelselection_method: ml [INFO-bo_w_gp-10/12/2025-15:31:05] num_samples_ao: 128 [INFO-bo_w_gp-10/12/2025-15:31:05] seed: None [INFO-bo_w_gp-10/12/2025-15:31:05] debug: False [INFO-bo_w_gp-10/12/2025-15:31:05] ==================== 0%| | 0/5 [00:00>> ERROR: py3-bayeso: check failed >>> py3-bayeso: Uninstalling dependencies... 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