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https://distfiles.alpinelinux.org/distfiles/edge/bayesian-optimization-3.4.0.tar.gz /var/cache/distfiles/edge/bayesian-optimization-3.4.0.tar.gz: OK >>> py3-bayesian-optimization: Fetching https://distfiles.alpinelinux.org/distfiles/edge/bayesian-optimization-3.4.0.tar.gz /var/cache/distfiles/edge/bayesian-optimization-3.4.0.tar.gz: OK >>> py3-bayesian-optimization: Unpacking /var/cache/distfiles/edge/bayesian-optimization-3.4.0.tar.gz... 2026-10-07 08:56:50,749 gpep517 INFO Building wheel via backend uv_build 2026-10-07 08:56:50,764 gpep517 INFO The backend produced .dist/bayesian_optimization-3.4.0-py3-none-any.whl bayesian_optimization-3.4.0-py3-none-any.whl ============================= test session starts ============================== platform linux -- Python 3.14.8, pytest-9.1.1, pluggy-1.6.0 rootdir: /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0 configfile: pyproject.toml plugins: platformdirs-4.12.0, xdist-3.8.0 created: 80/80 workers 80 workers [168 items] ........................................................................ [ 42%] ........................................................................ [ 85%] ........................ [100%] =============================== warnings summary =============================== tests/test_seq_domain_red.py: 1 warning tests/test_parameter.py: 5 warnings tests/test_target_space.py: 4 warnings /usr/lib/python3.14/site-packages/_pytest/python.py:167: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. result = testfunction(**testargs) tests/test_parameter.py::test_preconstructed_parameter /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_parameter.py:192: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer1 = BayesianOptimization(target_func, pbounds) tests/test_parameter.py::test_preconstructed_parameter /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_parameter.py:195: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer2 = BayesianOptimization(target_func, pbounds) tests/test_bayesian_optimization.py::test_predict_custom_parameter /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_bayesian_optimization.py:803: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer = BayesianOptimization(f=area_of_triangle, pbounds=pbounds, random_state=1, verbose=0) tests/test_bayesian_optimization.py::test_predict_categorical_params /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_bayesian_optimization.py:754: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer = BayesianOptimization(f=cat_target_func, pbounds=cat_pbounds, random_state=1, verbose=0) tests/test_bayesian_optimization.py::test_predict_integer_params /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_bayesian_optimization.py:711: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer = BayesianOptimization(f=target_func, pbounds=int_pbounds, random_state=1, verbose=0) tests/test_bayesian_optimization.py::test_save_load_w_categorical_params /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_bayesian_optimization.py:381: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer = BayesianOptimization(f=str_target_func, pbounds=str_pbounds, random_state=1, verbose=0) tests/test_bayesian_optimization.py::test_save_load_w_categorical_params /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_bayesian_optimization.py:388: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. new_optimizer = BayesianOptimization(f=str_target_func, pbounds=str_pbounds, random_state=1, verbose=0) tests/test_parameter.py::test_combined_wrapped_kernel_fit /usr/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__length_scale is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( tests/test_parameter.py::test_integration_mixed_optimization_with_constraints /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_parameter.py:237: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer = BayesianOptimization(target_func, pbounds, constraint=constraint) tests/test_parameter.py::test_wrapped_kernel_fit /usr/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value. warnings.warn( tests/test_bayesian_optimization.py::test_save_load_w_custom_parameter /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_bayesian_optimization.py:574: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer = BayesianOptimization(f=area_of_triangle, pbounds=pbounds, random_state=1, verbose=0) tests/test_bayesian_optimization.py::test_save_load_w_custom_parameter /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_bayesian_optimization.py:587: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. new_optimizer = BayesianOptimization(f=area_of_triangle, pbounds=pbounds, random_state=1, verbose=0) tests/test_parameter.py::test_integration_mixed_optimization /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.4.0/tests/test_parameter.py:215: UserWarning: Non-float parameters are experimental and may not work as expected. Exercise caution when using them and please report any issues you encounter. optimizer = BayesianOptimization(target_func, pbounds) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ====================== 168 passed, 23 warnings in 29.89s ======================= >>> py3-bayesian-optimization: Entering fakeroot... >>> py3-bayesian-optimization-pyc*: Running split function pyc... 'usr/lib/python3.14/site-packages/bayes_opt/__pycache__' -> '/home/buildozer/aports/community/py3-bayesian-optimization/pkg/py3-bayesian-optimization-pyc/usr/lib/python3.14/site-packages/bayes_opt/__pycache__' >>> py3-bayesian-optimization-pyc*: Preparing subpackage py3-bayesian-optimization-pyc... >>> py3-bayesian-optimization-pyc*: Running postcheck for py3-bayesian-optimization-pyc >>> py3-bayesian-optimization*: Running postcheck for py3-bayesian-optimization >>> py3-bayesian-optimization*: Preparing package py3-bayesian-optimization... >>> py3-bayesian-optimization*: Tracing dependencies... python3 py3-colorama py3-numpy py3-scipy py3-scikit-learn python3~3.14 >>> py3-bayesian-optimization*: Package size: 148.0 KB >>> py3-bayesian-optimization*: Compressing data... >>> py3-bayesian-optimization*: Create checksum... >>> py3-bayesian-optimization*: Create py3-bayesian-optimization-3.4.0-r0.apk >>> py3-bayesian-optimization-pyc*: Tracing dependencies... python3~3.14 >>> py3-bayesian-optimization-pyc*: Package size: 175.0 KB >>> py3-bayesian-optimization-pyc*: Compressing data... >>> py3-bayesian-optimization-pyc*: Create checksum... >>> py3-bayesian-optimization-pyc*: Create py3-bayesian-optimization-pyc-3.4.0-r0.apk >>> py3-bayesian-optimization: Build complete at Wed, 07 Oct 2026 08:57:22 +0000 elapsed time 0h 0m 35s >>> py3-bayesian-optimization: Cleaning up srcdir >>> py3-bayesian-optimization: Cleaning up pkgdir >>> py3-bayesian-optimization: Cleaning up tmpdir >>> py3-bayesian-optimization: Uninstalling dependencies... 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(136/153) Purging py3-py (1.11.0-r5) (137/153) Purging py3-pygments-pyc (2.21.0-r0) (138/153) Purging py3-pygments (2.21.0-r0) (139/153) Purging python3-pyc (3.14.8-r0) (140/153) Purging python3-pycache-pyc0 (3.14.8-r0) (141/153) Purging pyc (3.14.8-r0) (142/153) Purging python3 (3.14.8-r0) (143/153) Purging libbz2 (1.0.8-r6) (144/153) Purging libffi (3.8.0-r0) (145/153) Purging libgfortran (15.2.0-r9) (146/153) Purging libpanelw (6.6_p20260822-r0) (147/153) Purging libzmq (4.3.5-r2) (148/153) Purging mpdecimal (4.0.1-r0) (149/153) Purging readline (8.3.3-r1) (150/153) Purging sqlite-libs (3.53.4-r0) (151/153) Purging xz-libs (5.8.4-r0) (152/153) Purging yaml (0.2.5-r2) (153/153) Purging libsodium (1.0.22-r0) Executing busybox-1.38.0-r7.trigger OK: 433.6 MiB in 109 packages >>> py3-bayesian-optimization: Updating the community/aarch64 repository index... >>> py3-bayesian-optimization: Signing the index...