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setup.py
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setup.py
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# Copyright 2019-2022 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import os
from datetime import datetime
from setuptools import find_packages, setup
logger = logging.getLogger(__name__)
logger.addHandler(logging.StreamHandler())
try:
import builtins
# This trick is borrowed from scikit-learn
# This is a bit (!) hackish: we are setting a global variable so that the
# main lale __init__ can detect if it is being loaded by the setup
# routine, to avoid attempting to import components before installation.
builtins.__LALE_SETUP__ = True # type: ignore
except ImportError:
pass
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
on_rtd = os.environ.get("READTHEDOCS") == "True"
if on_rtd:
install_requires = []
else:
install_requires = [
"numpy",
"black>=22.1.0",
"click==8.0.4",
"graphviz",
"hyperopt>=0.2,<=0.2.5",
"jsonschema",
"jsonsubschema>=0.0.6",
"scikit-learn>=1.0.0,<=1.1.1",
"scipy<1.9",
"pandas",
"decorator",
"astunparse",
"typing-extensions",
]
import lale # noqa: E402
if "TRAVIS" in os.environ:
now = datetime.now().strftime("%y%m%d%H%M")
VERSION = f"{lale.__version__}-{now}"
else:
VERSION = lale.__version__
extras_require = {
"full": [
"xgboost<=1.5.1",
"lightgbm",
"snapml>=1.7.0rc3",
"liac-arff>=2.4.0",
"tensorflow>=2.4.0,<=2.7.0",
"smac<=0.10.0",
"numba",
"aif360>=0.4.0",
"protobuf<=3.20.1",
"torch>=1.0",
"BlackBoxAuditing",
"imbalanced-learn",
"cvxpy>=1.0",
"fairlearn",
"h5py",
],
"dev": ["pre-commit"],
"test": [
"joblib",
"jupyter",
"sphinx>=5.0.0",
"sphinx_rtd_theme>=0.5.2",
"docutils<0.17",
"m2r2",
"sphinxcontrib.apidoc",
"pytest",
"pyspark",
"func_timeout",
"category-encoders",
"pynisher==0.6.4",
],
"fairness": [
"liac-arff>=2.4.0",
"aif360<0.4.0",
"protobuf<=3.20.1",
"BlackBoxAuditing",
],
"tutorial": [
"jupyter",
"xgboost<=1.5.1",
"imbalanced-learn",
"liac-arff>=2.4.0",
"aif360<0.4.0",
"protobuf<=3.20.1",
"BlackBoxAuditing",
"typing-extensions",
],
}
setup(
name="lale",
version=VERSION,
author="Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar",
description="Library for Semi-Automated Data Science",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/IBM/lale",
python_requires=">=3.6",
package_data={"lale": ["py.typed"]},
packages=find_packages(),
license="",
install_requires=install_requires,
extras_require=extras_require,
)