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setup.py
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setup.py
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# read the contents of your README file
from os import path
from setuptools import setup
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='tomotwin-cryoet',
use_scm_version={'write_to': 'tomotwin/__init__.py'},
setup_requires=['setuptools_scm'],
python_requires='>=3.7.0',
packages=[
'scripts','tomotwin','tomotwin.modules',
'tomotwin.modules.networks',
'tomotwin.modules.training',
'tomotwin.modules.inference',
'tomotwin.modules.tools',
'tomotwin.modules.common',
'tomotwin.modules.common.findmax',
'tomotwin.modules.common.io',
],
url='https://github.com/MPI-Dortmund/tomotwin-cryoet',
license='Mozilla Public License Version 2.0',
author='Gavin Rice, Thorsten Wagner, Markus Stabrin',
install_requires=[
"mrcfile",
"tensorboard",
"numpy >= 1.20.0",
"scikit-learn",
"scikit-image",
"pystardb>=0.4.2",
"pandas", # Because rapids does not support pandas > 1.5.3
"numexpr>=2.8.4",
# "pytorch-metric-learning<1.7",
"numba",
"tabulate",
"setuptools_scm",
"tqdm"
],
author_email='thorsten.wagner@mpi-dortmund.mpg.de',
description='Picking procedure for cryo em tomography',
long_description=long_description,
long_description_content_type='text/markdown',
entry_points={
'console_scripts': [
'tomotwin_train.py = tomotwin.train_main:_main_',
'tomotwin_embed.py = tomotwin.embed_main:_main_',
'tomotwin_map.py = tomotwin.map_main:_main_',
'tomotwin_locate.py = tomotwin.locate_main:_main_',
'tomotwin_pick.py = tomotwin.pick_main:_main_',
'tomotwin_scripts_evaluate.py = scripts.evaluation:_main_',
'tomotwin_dev_matrix.py = scripts.pdb_similarity_matrix:_main_',
'tomotwin_dev_json2tloc.py = scripts.json2tloc:_main_',
'tomotwin_dev_optuna.py = tomotwin.train_optuna:_main_',
'tomotwin_dev_molmapbbox.py = scripts.molmapsbbox:_main_',
'tomotwin_tools.py = tomotwin.tools_main:_main_'
]},
)