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0.6.0
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include CODE_OF_CONDUCT.md | ||
include LICENSE | ||
include requirements.txt | ||
include requirements-optional.txt |
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# | ||
# author: Jungtaek Kim (jtkim@postech.ac.kr) | ||
# last updated: November 28, 2022 | ||
# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com) | ||
# last updated: January 4, 2024 | ||
# | ||
"""BayesO is a simple, but essential Bayesian optimization | ||
package, implemented in Python.""" | ||
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__version__ = '0.5.5' | ||
__version__ = '0.6.0' |
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# 0. (If needed) Install setuptools, wheel, build, and twine. | ||
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# 1. Merge a working branch to the main branch first. | ||
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# 2. Clone the main branch in a new clean directory. | ||
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# 3. (If needed) Install setuptools and wheel. | ||
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# 4. Create wheel and source files. | ||
python2 setup.py sdist bdist_wheel (deprecated) | ||
python3 setup.py sdist bdist_wheel | ||
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# 5. (If needed) Install twine. | ||
# 3. Create wheel and source files. | ||
python3 -m build | ||
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# 6. Upload wheel and source files to the PyPI repository. | ||
twine upload dist/* | ||
# 4. Upload wheel and source files to the PyPI repository. | ||
python3 -m twine upload dist/* | ||
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# 7. (Optional) Upload to Anaconda repository. | ||
# 5. (Optional) Upload to Anaconda repository. | ||
~/anaconda3/bin/anaconda upload dist/*.tar.gz | ||
# or | ||
anaconda upload dist/*.tar.gz | ||
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# 8. Publish a new release at GitHub. | ||
# 6. Publish a new release at GitHub. | ||
## Create a tag at GitHub. | ||
## Make sure that it is created in the main branch. | ||
## Assign the tag to a new release. | ||
## The name convention of tags is "v0.5.5". | ||
## Upload the wheel and source files, which can be downloaded from the PyPI repository, together. | ||
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# 9. Check out Zenodo or upload the release on Zenodo. | ||
# 7. Check out Zenodo or upload the release on Zenodo. | ||
## To upload the release, download a ZIP file from a particular tag. |
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[build-system] | ||
build-backend = "setuptools.build_meta" | ||
requires = [ | ||
"setuptools", | ||
] | ||
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[tool.setuptools] | ||
packages = [ | ||
"bayeso", | ||
"bayeso.bo", | ||
"bayeso.gp", | ||
"bayeso.tp", | ||
"bayeso.trees", | ||
"bayeso.wrappers", | ||
"bayeso.utils", | ||
] | ||
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[project] | ||
name = "bayeso" | ||
version = "0.6.0" | ||
authors = [ | ||
{name = "Jungtaek Kim", email = "jungtaek.kim.mail@gmail.com"}, | ||
] | ||
description = "Simple, but essential Bayesian optimization package" | ||
readme = "README.md" | ||
requires-python = ">=3.7" | ||
dependencies = [ | ||
"numpy", | ||
"scipy", | ||
"cma", | ||
"tqdm", | ||
] | ||
license = {text = "MIT"} | ||
classifiers = [ | ||
"Programming Language :: Python :: 3", | ||
"Intended Audience :: Science/Research", | ||
"License :: OSI Approved :: MIT License", | ||
"Operating System :: OS Independent", | ||
"Topic :: Scientific/Engineering", | ||
"Topic :: Scientific/Engineering :: Artificial Intelligence", | ||
] | ||
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[project.urls] | ||
Homepage = "https://bayeso.org" | ||
Source = "https://github.com/jungtaekkim/bayeso" | ||
Issues = "https://github.com/jungtaekkim/bayeso/issues" | ||
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[project.optional-dependencies] | ||
dev = [ | ||
"pytest", | ||
"pytest-benchmark", | ||
"pytest-timeout", | ||
"pytest-cov", | ||
"coveralls", | ||
"sphinx", | ||
"sphinx_rtd_theme", | ||
"jupyter", | ||
"jupytext", | ||
"pylint", | ||
"wheel", | ||
"build", | ||
"twine", | ||
] | ||
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optional = [ | ||
"scipydirect", | ||
"matplotlib", | ||
"bayeso-benchmarks", | ||
] | ||
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examples = [ | ||
"xgboost", | ||
"scikit-learn", | ||
] |
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