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setup.py
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setup.py
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import codecs
import os
import re
from setuptools import setup, find_packages
HERE = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
"""
Build an absolute path from *parts* and and return the contents of the
resulting file. Assume UTF-8 encoding.
"""
with codecs.open(os.path.join(HERE, *parts), "rb", "utf-8") as f:
return f.read()
META_PATH = os.path.join("qecco", "__init__.py")
META_FILE = read(META_PATH)
def find_meta(meta):
"""
Extract __*meta*__ from META_FILE.
"""
meta_match = re.search(
r"^__{meta}__ = ['\"]([^'\"]*)['\"]".format(meta=meta),
META_FILE, re.M
)
if meta_match:
return meta_match.group(1)
raise RuntimeError("Unable to find __{meta}__ string.".format(meta=meta))
NAME = "qecco"
DESCRIPTION = find_meta("description")
LICENCE = find_meta("license")
URL = find_meta("url")
VERSION = find_meta("version")
AUTHOR = find_meta("author")
AUTHOR_EMAIL = find_meta("email")
KEYWORDS = ["quantum neural network", "error correction", "bosonic codes"]
LONG = read("README.md")
PACKAGES = find_packages(where=".")
PACKAGE_DIR = {"": "."}
CLASSIFIERS = [
"Development Status :: 2 - Pre-Alpha",
"Environment :: Console",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: Microsoft :: Windows",
"Operating System :: Unix",
"Programming Language :: Python :: 3.6",
"Topic :: Scientific/Engineering :: Physics",
]
INSTALL_REQUIRES = [
"numpy",
"autograd",
"scipy",
"matplotlib",
"seaborn"
]
if __name__ == "__main__":
setup(
name=NAME,
description=DESCRIPTION,
license=LICENCE,
url=URL,
version=VERSION,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
keywords=KEYWORDS,
long_description=LONG,
packages=PACKAGES,
package_dir=PACKAGE_DIR,
zip_safe=False,
classifiers=CLASSIFIERS,
install_requires=INSTALL_REQUIRES,
)