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Merge pull request easybuilders#18929 from boegel/20231005231211_new_…
…pr_PyMC590 {math}[foss/2023a] PyMC v5.9.0
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# Author: Pavel Grochal (INUITS) | ||
# License: GPLv2 | ||
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easyblock = 'PythonBundle' | ||
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name = 'PyMC' | ||
version = '5.9.0' | ||
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homepage = 'https://www.pymc.io' | ||
description = """PyMC is a probabilistic programming library for Python that allows users to build Bayesian models | ||
with a simple Python API and fit them using Markov chain Monte Carlo (MCMC) methods.""" | ||
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
('SciPy-bundle', '2023.07'), # for numpy, scipy, pandas | ||
('ArviZ', '0.16.1'), | ||
('PyTensor', '2.17.1'), | ||
] | ||
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use_pip = True | ||
sanity_pip_check = True | ||
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exts_list = [ | ||
('fastprogress', '1.0.3', { | ||
'checksums': ['7a17d2b438890f838c048eefce32c4ded47197ecc8ea042cecc33d3deb8022f5'], | ||
}), | ||
('cachetools', '5.3.1', { | ||
'checksums': ['dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b'], | ||
}), | ||
('pymc', version, { | ||
'checksums': ['96a063e6ce4d754a0d4a93e460a270453eac78cee37c816d1f0d26a4e08cd269'], | ||
}), | ||
] | ||
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moduleclass = 'math' |