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name = 'CPLEX' | ||
version = '22.1.1' | ||
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homepage = 'https://www.ibm.com/analytics/cplex-optimizer' | ||
description = """IBM ILOG CPLEX Optimizer's mathematical programming technology enables | ||
analytical decision support for improving efficiency, | ||
reducing costs, and increasing profitability.""" | ||
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toolchain = {'name': 'GCCcore', 'version': '11.3.0'} | ||
# cplex_studio2211.linux_x86_64.bin | ||
sources = ['cplex_studio%s.linux_x86_64.bin' % ''.join(version.split('.'))] | ||
checksums = ['ab6d3f0953fdb3cbd43854452357955ef96db8b751c0866de3572fc47a0df542'] | ||
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download_instructions = """ | ||
1. Visit https://www.ibm.com/products/ilog-cplex-optimization-studio | ||
2. Sign up and download the Academic Edition | ||
""" | ||
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builddependencies = [('binutils', '2.38')] | ||
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dependencies = [ | ||
('Java', '11', '', SYSTEM), | ||
('Python', '3.10.4'), | ||
] | ||
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moduleclass = 'math' |
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name = 'CPLEX' | ||
version = '22.1.1' | ||
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homepage = 'https://www.ibm.com/analytics/cplex-optimizer' | ||
description = """IBM ILOG CPLEX Optimizer's mathematical programming technology enables | ||
analytical decision support for improving efficiency, | ||
reducing costs, and increasing profitability.""" | ||
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toolchain = {'name': 'GCCcore', 'version': '12.3.0'} | ||
# cplex_studio2211.linux_x86_64.bin | ||
sources = ['cplex_studio%s.linux_x86_64.bin' % ''.join(version.split('.'))] | ||
checksums = ['ab6d3f0953fdb3cbd43854452357955ef96db8b751c0866de3572fc47a0df542'] | ||
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download_instructions = """ | ||
1. Visit https://www.ibm.com/products/ilog-cplex-optimization-studio | ||
2. Sign up and download the Academic Edition | ||
""" | ||
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builddependencies = [('binutils', '2.40')] | ||
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dependencies = [ | ||
('Java', '11', '', SYSTEM), | ||
('Python', '3.11.3'), | ||
('Python-bundle-PyPI', '2023.06'), | ||
] | ||
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moduleclass = 'math' |
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easyblock = 'PythonBundle' | ||
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name = 'Compass' | ||
version = '2024.04' | ||
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homepage = 'https://github.com/YosefLab/Compass' | ||
description = """In-Silico Modeling of Metabolic Heterogeneity using Single-Cell Transcriptomes.""" | ||
local_commit = "7664cb0" | ||
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toolchain = {'name': 'foss', 'version': '2022a'} # 11.3.0 | ||
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dependencies = [ | ||
('Python', '3.10.4'), | ||
('SciPy-bundle', '2022.05'), | ||
('tqdm', '4.64.0'), | ||
('python-libsbml', '5.20.2'), | ||
('scikit-learn', '1.1.2'), | ||
('python-igraph', '0.10.3'), | ||
('leidenalg', '0.9.1'), | ||
('anndata', '0.8.0'), | ||
('CPLEX', '22.1.1', '', SYSTEM), | ||
] | ||
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use_pip = True | ||
sanity_pip_check = True | ||
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exts_list = [ | ||
('compass', version, { | ||
# delete dependecy python-igraph - pip check failing | ||
'preinstallopts': "sed -i '27d' setup.py && ", | ||
'source_urls': ['https://github.com/YosefLab/Compass/archive/'], | ||
'sources': [{ | ||
'download_filename': '%s.tar.gz' % local_commit, | ||
'filename': '%%(name)s-%%(version)s-%s.tar.gz' % local_commit, | ||
}], | ||
'checksums': ['87529c5fae108fa2a8e3e35438d3b25874faa78af670a2349228c76fa0843376'], | ||
}), | ||
] | ||
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# sanity_check_commands = ["python -c 'import igraph'", "compass -h", "python -c 'import cplex'"] | ||
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moduleclass = 'bio' |
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easyblock = 'PythonBundle' | ||
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name = 'Compass' | ||
version = '2024.04' | ||
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homepage = 'https://github.com/YosefLab/Compass' | ||
description = """In-Silico Modeling of Metabolic Heterogeneity using Single-Cell Transcriptomes.""" | ||
local_commit = "7664cb0" | ||
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toolchain = {'name': 'foss', 'version': '2022b'} | ||
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dependencies = [ | ||
('Python', '3.10.8'), | ||
('SciPy-bundle', '2023.02'), | ||
('tqdm', '4.64.1'), | ||
# ('python-libsbml', '5.20.2'), NOT in EB (only 2021a) | ||
('scikit-learn', '1.2.1'), | ||
('python-igraph', '0.10.6'), | ||
('leidenalg', '0.10.1'), | ||
# ('anndata', '0.10.5.post1'), NOT in EB (only 2022a) | ||
('CPLEX', '22.1.1', '', SYSTEM), | ||
] | ||
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use_pip = True | ||
sanity_pip_check = True | ||
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exts_list = [ | ||
('compass', version, { | ||
# delete dependecy python-igraph - pip check failing | ||
'preinstallopts': "sed -i '27d' setup.py && ", | ||
'source_urls': ['https://github.com/YosefLab/Compass/archive/'], | ||
'sources': [{ | ||
'download_filename': '%s.tar.gz' % local_commit, | ||
'filename': '%%(name)s-%%(version)s-%s.tar.gz' % local_commit, | ||
}], | ||
'checksums': ['87529c5fae108fa2a8e3e35438d3b25874faa78af670a2349228c76fa0843376'], | ||
}), | ||
] | ||
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sanity_check_commands = ["python -c 'import igraph'", "compass -h", "python -c 'import cplex'"] | ||
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moduleclass = 'bio' |
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# This is a contribution from SIB Swiss Institute of Bioinformatics | ||
# Homepage: https://www.sib.swiss/research-infrastructure/competence-centers/vital-it | ||
# Authors: Sebastien Moretti <[email protected]> | ||
# Update: Pavel Tománek (INUITS) | ||
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easyblock = 'PythonBundle' | ||
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name = 'python-libsbml' | ||
version = '5.20.2' | ||
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homepage = 'https://sbml.org/' | ||
description = """LibSBML Python API.""" | ||
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toolchain = {'name': 'foss', 'version': '2022a'} # 11.3.0 | ||
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builddependencies = [ | ||
('binutils', '2.38'), | ||
('CMake', '3.23.1'), | ||
('make', '4.3'), | ||
('Check', '0.15.2'), | ||
('SWIG', '4.0.2'), | ||
('expat', '2.4.8'), | ||
('bzip2', '1.0.8'), | ||
('zlib', '1.2.12'), | ||
] | ||
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dependencies = [ | ||
('Python', '3.10.4'), | ||
('libxml2', '2.9.13'), | ||
('libxslt', '1.1.34'), | ||
] | ||
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use_pip = True | ||
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exts_list = [ | ||
(name, version, { | ||
'modulename': 'libsbml', | ||
'checksums': ['0af5cbff68c9b52bac4bd7bb261f93a60832dc8cb31dafc90d3aff51467935b7'], | ||
}), | ||
] | ||
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sanity_pip_check = True | ||
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moduleclass = 'bio' |