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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pip install twine
import io
import os
import sys
from shutil import rmtree
from setuptools import find_packages, setup, Command
on_rtd = os.environ.get("READTHEDOCS") == "True"
on_theta = type(os.environ.get("HOST")) is str and "theta" in os.environ.get("HOST")
# Package meta-data.
NAME = "deephyper"
DESCRIPTION = "Scalable asynchronous neural architecture and hyperparameter search for deep neural networks."
URL = "https://github.com/deephyper/deephyper"
REQUIRES_PYTHON = ">=3.6, <3.9"
VERSION = None
# Build Author list
authors = {
"Prasanna Balaprakash": "pbalapra@anl.gov",
"Romain Egele": "romain.egele@polytechnique.edu",
"Misha Salim": "msalim@anl.gov",
"Romit Maulik": "rmaulik@anl.gov",
"Venkat Vishwanath": "venkat@anl.gov",
"Stefan Wild": "wild@anl.gov",
}
AUTHOR = ""
for i, (k, v) in enumerate(authors.items()):
if i > 0:
AUTHOR += ", "
AUTHOR += f"{k} <{v}>"
# What packages are required for this module to be executed?
REQUIRED = [
"tensorflow>=2.0.0",
"tensorflow_probability",
"numpy", #==1.19.4", # working with 1.20.1
"dh-scikit-optimize==0.8.3",
"scikit-learn>=0.23.1",
"tqdm",
"keras",
"deap", # GA search
# nas
"networkx",
"joblib>=0.10.3",
"pydot",
"ray[default]>=1.3.0",
"pandas>=0.24.2",
"Jinja2",
"ConfigSpace==0.4.18",
"xgboost",
"typeguard",
"openml==0.10.2",
"matplotlib>=3.0.3",
]
if on_rtd:
REQUIRED.append("Sphinx>=1.8.2")
REQUIRED.append("sphinx_rtd_theme")
# What packages are optional?
EXTRAS = {
"tests": ["pytest", "codecov", "pytest-cov", "deepspace>=0.0.3"],
"dev": ["twine", "black"],
"docs": ["Sphinx>=1.8.2", "sphinx_rtd_theme"],
"analytics": [
"jupyter",
"jupyter_contrib_nbextensions>=0.5.1",
"seaborn>=0.9.1",
],
"hvd": ["horovod>=0.21.3", "mpi4py>=3.0.0"],
"balsam": ["balsam-flow>=0.3.8"],
"deepspace": ["deepspace>=0.0.3"],
}
# The rest you shouldn't have to touch too much :)
# ------------------------------------------------
# Except, perhaps the License and Trove Classifiers!
# If you do change the License, remember to change the Trove Classifier for that!
here = os.path.abspath(os.path.dirname(__file__))
# Import the README and use it as the long-description.
# Note: this will only work if 'README.md' is present in your MANIFEST.in file!
try:
with io.open(os.path.join(here, "README.md"), encoding="utf-8") as f:
long_description = "\n" + f.read()
except FileNotFoundError:
long_description = DESCRIPTION
# Load the package's __version__.py module as a dictionary.
about = {}
if not VERSION:
with open(os.path.join(here, NAME, "__version__.py")) as f:
exec(f.read(), about)
else:
about["__version__"] = VERSION
class UploadCommand(Command):
"""Support setup.py upload."""
description = "Build and publish the package."
user_options = []
@staticmethod
def status(s):
"""Prints things in bold."""
print("\033[1m{0}\033[0m".format(s))
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
try:
self.status("Removing previous builds…")
rmtree(os.path.join(here, "dist"))
except OSError:
pass
self.status("Building Source and Wheel (universal) distribution…")
os.system("{0} setup.py sdist bdist_wheel --universal".format(sys.executable))
self.status("Uploading the package to PyPI via Twine…")
os.system("twine upload dist/*")
sys.exit()
class TestUploadCommand(Command):
"""Support setup.py testupload."""
description = "Build and publish the package to test.pypi."
user_options = []
@staticmethod
def status(s):
"""Prints things in bold."""
print("\033[1m{0}\033[0m".format(s))
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
try:
self.status("Removing previous builds…")
rmtree(os.path.join(here, "dist"))
except OSError:
pass
self.status("Building Source and Wheel (universal) distribution…")
os.system("{0} setup.py sdist bdist_wheel --universal".format(sys.executable))
self.status("Uploading the package to PyPI via Twine…")
os.system("twine upload --repository-url https://test.pypi.org/legacy/ dist/*")
sys.exit()
class TestInstallCommand(Command):
"""Support setup.py testinstall"""
description = "Install deephyper from TestPyPI."
user_options = []
@staticmethod
def status(s):
"""Prints things in bold."""
print("\033[1m{0}\033[0m".format(s))
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
self.status("Downloading the package from Test PyPI and installing it")
os.system("pip install --index-url https://test.pypi.org/simple/ deephyper")
sys.exit()
# Where the magic happens:
setup(
name=NAME,
version=about["__version__"],
description=DESCRIPTION,
long_description=long_description,
long_description_content_type="text/markdown",
author=AUTHOR,
python_requires=REQUIRES_PYTHON,
url=URL,
project_urls={
"Documentation": "https://deephyper.readthedocs.io/",
"Source": "https://github.com/deephyper/deephyper",
"Tracker": "https://github.com/deephyper/deephyper/issues",
},
packages=find_packages(exclude=("tests",)),
# If your package is a single module, use this instead of 'packages':
# py_modules=['deephyper'],
install_requires=REQUIRED,
extras_require=EXTRAS,
include_package_data=True,
license="ANL",
classifiers=[
# Trove classifiers
# https://pypi.org/classifiers/
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
"Development Status :: 3 - Alpha",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
],
# $ setup.py publish support.
cmdclass={
"upload": UploadCommand,
"testupload": TestUploadCommand,
"testinstall": TestInstallCommand,
},
entry_points={
"console_scripts": [
"deephyper=deephyper.core.cli:main",
"deephyper-analytics=deephyper.core.logs.analytics:main",
]
},
)