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setup.py
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setup.py
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import os
from typing import Dict
from typing import List
from typing import Optional
import pkg_resources
from setuptools import find_packages
from setuptools import setup
def get_version() -> str:
version_filepath = os.path.join(os.path.dirname(__file__), "optuna", "version.py")
with open(version_filepath) as f:
for line in f:
if line.startswith("__version__"):
return line.strip().split()[-1][1:-1]
assert False
def get_long_description() -> str:
readme_filepath = os.path.join(os.path.dirname(__file__), "README.md")
with open(readme_filepath) as f:
return f.read()
def get_install_requires() -> List[str]:
requirements = [
"alembic",
"cliff",
"cmaes>=0.8.2",
"colorlog",
"numpy",
"packaging>=20.0",
"scipy!=1.4.0",
"sqlalchemy>=1.1.0",
"tqdm",
"PyYAML", # Only used in `optuna/cli.py`.
]
return requirements
def get_tests_require() -> List[str]:
return get_extras_require()["testing"]
def get_extras_require() -> Dict[str, List[str]]:
requirements = {
# TODO(HideakiImamura) Unpin mypy version after fixing "Duplicate modules" error in
# tutorials.
"checking": ["black", "hacking", "isort", "mypy==0.790", "blackdoc"],
"codecov": ["codecov", "pytest-cov"],
"doctest": [
"cma",
"matplotlib>=3.0.0",
"pandas",
"plotly>=4.0.0",
"scikit-learn>=0.24.2",
"scikit-optimize",
"mlflow",
],
"document": [
# TODO(nzw): Remove the version constraint after resolving the issue
# https://github.com/optuna/optuna/issues/2658.
"sphinx<4.0.0",
"sphinx_rtd_theme",
"sphinx-copybutton",
"sphinx-gallery",
"sphinx-plotly-directive",
"pillow",
"matplotlib",
"scikit-learn",
"plotly>=4.0.0", # optuna/visualization.
"pandas",
"lightgbm",
"torch==1.8.0",
"torchvision==0.9.0",
"torchaudio==0.8.0",
"thop",
],
"experimental": ["redis"],
"testing": [
# TODO(toshihikoyanase): Remove the version constraint after resolving the issue
# https://github.com/optuna/optuna/issues/1000.
"bokeh<2.0.0",
"chainer>=5.0.0",
"cma",
"fakeredis",
"lightgbm",
"matplotlib>=3.0.0",
"mlflow",
"mpi4py",
"mxnet",
"pandas",
"plotly>=4.0.0",
"pytest",
"scikit-learn>=0.24.2",
"scikit-optimize",
"xgboost",
# TODO(toshihikoyanase): Remove the constraints when tensorflow==2.7.0 is released.
"tensorflow-estimator<2.7.0",
"tensorflow<2.7.0",
"tensorflow-datasets",
"pytorch-ignite",
"pytorch-lightning>=1.0.2",
"skorch",
"catalyst>=21.3",
"torch==1.8.0 ; sys_platform=='darwin'",
"torch==1.8.0+cpu ; sys_platform!='darwin'",
"torchvision==0.9.0 ; sys_platform=='darwin'",
"torchvision==0.9.0+cpu ; sys_platform!='darwin'",
"torchaudio==0.8.0",
"allennlp>=2.2.0,<2.7.0",
"botorch>=0.4.0 ; python_version>'3.6'",
"fastai",
],
"tests": [
"fakeredis",
"pytest",
],
"optional": [
"bokeh<2.0.0", # optuna/cli.py, optuna/dashboard.py.
"matplotlib>=3.0.0", # optuna/visualization/matplotlib
"pandas", # optuna/study.py
"plotly>=4.0.0", # optuna/visualization.
"redis", # optuna/storages/redis.py.
"scikit-learn>=0.24.2",
# optuna/visualization/param_importances.py.
],
"integration": [
# TODO(toshihikoyanase): Remove the version constraint after resolving the issue
# https://github.com/optuna/optuna/issues/1000.
"chainer>=5.0.0",
"cma",
"lightgbm",
"mlflow",
"wandb",
"mpi4py",
"mxnet",
"pandas",
"scikit-learn>=0.24.2",
"scikit-optimize",
"xgboost",
# TODO(toshihikoyanase): Remove the constraints when tensorflow==2.7.0 is released.
"tensorflow-estimator<2.7.0",
"tensorflow<2.7.0",
"tensorflow-datasets",
"pytorch-ignite",
"pytorch-lightning>=1.0.2",
"skorch",
"catalyst>=21.3",
"torch==1.8.0 ; sys_platform=='darwin'",
"torch==1.8.0+cpu ; sys_platform!='darwin'",
"torchvision==0.9.0 ; sys_platform=='darwin'",
"torchvision==0.9.0+cpu ; sys_platform!='darwin'",
"torchaudio==0.8.0",
"allennlp>=2.2.0,<2.7.0",
"botorch>=0.4.0 ; python_version>'3.6'",
"fastai",
],
"benchmark": [
"asv",
"virtualenv",
],
}
return requirements
def find_any_distribution(pkgs: List[str]) -> Optional[pkg_resources.Distribution]:
for pkg in pkgs:
try:
return pkg_resources.get_distribution(pkg)
except pkg_resources.DistributionNotFound:
pass
return None
setup(
name="optuna",
version=get_version(),
description="A hyperparameter optimization framework",
long_description=get_long_description(),
long_description_content_type="text/markdown",
author="Takuya Akiba",
author_email="[email protected]",
url="https://optuna.org/",
packages=find_packages(exclude=("tests", "tests.*", "benchmarks")),
package_data={
"optuna": [
"storages/_rdb/alembic.ini",
"storages/_rdb/alembic/*.*",
"storages/_rdb/alembic/versions/*.*",
"py.typed",
]
},
python_requires=">=3.6",
install_requires=get_install_requires(),
tests_require=get_tests_require(),
extras_require=get_extras_require(),
entry_points={
"console_scripts": ["optuna = optuna.cli:main"],
"optuna.command": [
"create-study = optuna.cli:_CreateStudy",
"delete-study = optuna.cli:_DeleteStudy",
"study set-user-attr = optuna.cli:_StudySetUserAttribute",
"studies = optuna.cli:_Studies",
"trials = optuna.cli:_Trials",
"best-trial = optuna.cli:_BestTrial",
"best-trials = optuna.cli:_BestTrials",
"dashboard = optuna.cli:_Dashboard",
"study optimize = optuna.cli:_StudyOptimize",
"storage upgrade = optuna.cli:_StorageUpgrade",
"ask = optuna.cli:_Ask",
"tell = optuna.cli:_Tell",
],
},
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
],
)