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setup.cfg
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setup.cfg
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[metadata]
name = easypheno
version = 0.0.5
description = state-of-the-art and easy-to-use plant phenotype prediction
long_description = file: README.md
long_description_content_type = text/markdown
license = GPLv3
author = Florian Haselbeck, Maura John, Dominik G. Grimm
url = https://github.com/grimmlab/easyPheno
project_urls =
Documentation = https://easypheno.readthedocs.io/
Source = https://github.com/grimmlab/easyPheno
classifiers =
Development Status :: 4 - Beta
Intended Audience :: Science/Research
License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Operating System :: POSIX :: Linux
Programming Language :: Python :: 3
Topic :: Scientific/Engineering :: Bio-Informatics
[options]
zip_safe = False
include_package_data = True
packages = find:
python_requires = >= 3.8
install_requires =
torch>=1.11.0
xgboost>=1.5.2
optuna==2.10.0
joblib>=1.1.0
numpy>=1.22.2
pandas>=1.4.1
pandas-plink>=2.2.9
h5py>=3.5.0
scikit-learn>=1.0.2
tensorflow>=2.8.0
XlsxWriter>=3.0.3
seaborn>=0.11.2
pyro-ppl>=1.8.1
[options.packages.find]
exclude =
examples*
docs*
case_study*
# URLs
url='https://github.com/grimmlab/easyPheno',
project_urls={
"Documentation": "https://easypheno.readthedocs.io/"
},
# build stuff
packages=find_packages(),
install_requires=["torch==1.11.0",
"xgboost==1.5.2",
"optuna==2.10.0",
"joblib==1.1.0",
"numpy==1.22.2",
"pandas==1.4.1",
"pandas-plink==2.2.9",
"h5py==3.5.0",
"scikit-learn==1.0.2",
"tensorflow==2.8.0",
"XlsxWriter==3.0.3",
"rpy2==3.5.2",
"seaborn==0.11.2",
"pyro-ppl==1.8.1"
],
# see https://pypi.org/classifiers/
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Operating System :: POSIX :: Linux',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Bio-Informatics'
],
python_requires=">=3.8"