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(162/162) Installing .makedepends-py3-bayesian-optimization (20260426.201835) Executing busybox-1.37.0-r31.trigger OK: 765.7 MiB in 264 packages >>> py3-bayesian-optimization: Cleaning up srcdir >>> py3-bayesian-optimization: Cleaning up pkgdir >>> py3-bayesian-optimization: Cleaning up tmpdir >>> py3-bayesian-optimization: Fetching https://distfiles.alpinelinux.org/distfiles/v3.24/bayesian-optimization-3.2.0.tar.gz Connecting to distfiles.alpinelinux.org (172.105.82.32:443) saving to '/var/cache/distfiles/v3.24/bayesian-optimization-3.2.0.tar.gz.part' bayesian-optimizatio 4% |* | 751k 0:00:23 ETA bayesian-optimizatio 100% |********************************| 18.1M 0:00:00 ETA '/var/cache/distfiles/v3.24/bayesian-optimization-3.2.0.tar.gz.part' saved /var/cache/distfiles/v3.24/bayesian-optimization-3.2.0.tar.gz: OK >>> py3-bayesian-optimization: Fetching https://distfiles.alpinelinux.org/distfiles/v3.24/bayesian-optimization-3.2.0.tar.gz /var/cache/distfiles/v3.24/bayesian-optimization-3.2.0.tar.gz: OK >>> py3-bayesian-optimization: Unpacking /var/cache/distfiles/v3.24/bayesian-optimization-3.2.0.tar.gz... 2026-04-26 20:18:39,727 gpep517 INFO Building wheel via backend uv_build 2026-04-26 20:18:39,742 gpep517 INFO The backend produced .dist/bayesian_optimization-3.2.0-py3-none-any.whl bayesian_optimization-3.2.0-py3-none-any.whl ============================= test session starts ============================== platform linux -- Python 3.14.3, pytest-9.0.3, pluggy-1.6.0 rootdir: /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.2.0 configfile: pyproject.toml plugins: xdist-3.8.0 created: 24/24 workers 24 workers [161 items] ........................................................................ [ 44%] ........................................................................ [ 89%] ................. [100%] =============================== warnings summary =============================== tests/test_parameter.py::test_cat_parameters tests/test_parameter.py::test_int_parameters tests/test_parameter.py::test_wrapped_kernel_fit tests/test_parameter.py::test_combined_wrapped_kernel_fit tests/test_seq_domain_red.py::test_mixed_parameters tests/test_target_space.py::test_change_typed_bounds tests/test_parameter.py::test_to_string /usr/lib/python3.14/site-packages/_pytest/python.py:166: 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-3.2.0/tests/test_parameter.py:179: 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-3.2.0/tests/test_parameter.py:182: 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_categorical_params /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.2.0/tests/test_bayesian_optimization.py:731: 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-3.2.0/tests/test_bayesian_optimization.py:688: 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-3.2.0/tests/test_bayesian_optimization.py:358: 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-3.2.0/tests/test_bayesian_optimization.py:365: 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_bayesian_optimization.py::test_save_load_w_custom_parameter /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.2.0/tests/test_bayesian_optimization.py:551: 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-3.2.0/tests/test_bayesian_optimization.py:564: 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_bayesian_optimization.py::test_predict_custom_parameter /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.2.0/tests/test_bayesian_optimization.py:780: 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_parameter.py::test_integration_mixed_optimization /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.2.0/tests/test_parameter.py:202: 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) tests/test_parameter.py::test_integration_mixed_optimization_with_constraints /home/buildozer/aports/community/py3-bayesian-optimization/src/BayesianOptimization-3.2.0/tests/test_parameter.py:224: 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) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ====================== 161 passed, 19 warnings in 23.69s ======================= >>> 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... Please specify at least one package name on the command line. >>> 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... Please specify at least one package name on the command line. >>> py3-bayesian-optimization-pyc*: Tracing dependencies... python3~3.14 >>> py3-bayesian-optimization-pyc*: Package size: 174.4 KB >>> py3-bayesian-optimization-pyc*: Compressing data... >>> py3-bayesian-optimization-pyc*: Create checksum... >>> py3-bayesian-optimization-pyc*: Create py3-bayesian-optimization-pyc-3.2.0-r1.apk >>> py3-bayesian-optimization*: Tracing dependencies... python3 py3-colorama py3-numpy py3-scipy py3-scikit-learn python3~3.14 >>> py3-bayesian-optimization*: Package size: 147.7 KB >>> py3-bayesian-optimization*: Compressing data... >>> py3-bayesian-optimization*: Create checksum... >>> py3-bayesian-optimization*: Create py3-bayesian-optimization-3.2.0-r1.apk >>> py3-bayesian-optimization: Build complete at Sun, 26 Apr 2026 20:19:05 +0000 elapsed time 0h 0m 34s >>> py3-bayesian-optimization: Cleaning up srcdir >>> py3-bayesian-optimization: Cleaning up pkgdir >>> py3-bayesian-optimization: Uninstalling dependencies... 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(161/162) Purging yaml (0.2.5-r2) (162/162) Purging libsodium (1.0.22-r0) Executing busybox-1.37.0-r31.trigger OK: 425.2 MiB in 102 packages >>> py3-bayesian-optimization: Updating the community/x86 repository index... >>> py3-bayesian-optimization: Signing the index...