easyblock = 'Binary'

name = 'Cordax'
version = '1.0'
versionsuffix = '-Python-%(pyver)s'

homepage = 'N/A'
description = """CORDAX is an aggregation propensity predictor based on predicted packing energies."""

toolchain = {'name': 'foss', 'version': '2020b'}

sources = ['%(namelower)s-%(version)s.tar.gz']

dependencies = [
    ('Python', '2.7.18'),
    ('matplotlib', '2.2.5', '-Python-%(pyver)s'),
    ('SciPy-bundle', '2020.11', '-Python-%(pyver)s'),
    ('scikit-learn', '0.20.4', '-Python-%(pyver)s'),
    ('Biopython', '1.72', '-Python-%(pyver)s'),
    ('FoldX', '5.0', '', True),
]

extract_sources = True
skipsteps = ['sanitycheck']

moduleclass = 'bio'