New packages: py-pymc3 and py-arviz (#15226)
This PR adds py-pymc3 and py-arviz as a dependency.
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| # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other | ||||
| # Spack Project Developers. See the top-level COPYRIGHT file for details. | ||||
| # | ||||
| # SPDX-License-Identifier: (Apache-2.0 OR MIT) | ||||
| 
 | ||||
| from spack import * | ||||
| 
 | ||||
| 
 | ||||
| class PyArviz(PythonPackage): | ||||
|     """ArviZ (pronounced "AR-vees") is a Python package for exploratory | ||||
|     analysis of Bayesian models. Includes functions for posterior analysis, | ||||
|     model checking, comparison and diagnostics.""" | ||||
| 
 | ||||
|     homepage = "http://github.com/arviz-devs/arviz" | ||||
|     url      = "https://pypi.io/packages/source/a/arviz/arviz-0.6.1.tar.gz" | ||||
| 
 | ||||
|     version('0.6.1', sha256='435edf8db49c41a8fa198f959e7581063006c49a4efdef4755bb778db6fd4f72') | ||||
| 
 | ||||
|     depends_on('py-setuptools', type='build') | ||||
|     depends_on('py-matplotlib@3.0:', type=('build', 'run')) | ||||
|     depends_on('py-numpy@1.12:', type=('build', 'run')) | ||||
|     depends_on('py-scipy@0.19:', type=('build', 'run')) | ||||
|     depends_on('py-packaging', type=('build', 'run')) | ||||
|     depends_on('py-pandas@0.23:', type=('build', 'run')) | ||||
|     depends_on('py-xarray@0.11:', type=('build', 'run')) | ||||
|     depends_on('py-netcdf4', type=('build', 'run')) | ||||
							
								
								
									
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								var/spack/repos/builtin/packages/py-pymc3/package.py
									
									
									
									
									
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| # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other | ||||
| # Spack Project Developers. See the top-level COPYRIGHT file for details. | ||||
| # | ||||
| # SPDX-License-Identifier: (Apache-2.0 OR MIT) | ||||
| 
 | ||||
| from spack import * | ||||
| 
 | ||||
| 
 | ||||
| class PyPymc3(PythonPackage): | ||||
|     """PyMC3 is a Python package for Bayesian statistical modeling and | ||||
|     Probabilistic Machine Learning focusing on advanced Markov chain Monte | ||||
|     Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and | ||||
|     extensibility make it applicable to a large suite of problems.""" | ||||
| 
 | ||||
|     homepage = "http://github.com/pymc-devs/pymc3" | ||||
|     url      = "https://pypi.io/packages/source/p/pymc3/pymc3-3.8.tar.gz" | ||||
| 
 | ||||
|     version('3.8', sha256='1bb2915e4a29877c681ead13932b0b7d276f7f496e9c3f09ba96b977c99caf00') | ||||
| 
 | ||||
|     depends_on('python@3.5.4:', type=('build', 'run')) | ||||
|     depends_on('py-setuptools', type='build') | ||||
|     depends_on('py-arviz@0.4.1:', type=('build', 'run')) | ||||
|     depends_on('py-theano@1.0.4:', type=('build', 'run')) | ||||
|     depends_on('py-numpy@1.13.0:', type=('build', 'run')) | ||||
|     depends_on('py-scipy@0.18.1:', type=('build', 'run')) | ||||
|     depends_on('py-pandas@0.18.0:', type=('build', 'run')) | ||||
|     depends_on('py-patsy@0.4.0:', type=('build', 'run')) | ||||
|     depends_on('py-tqdm@4.8.4:', type=('build', 'run')) | ||||
|     depends_on('py-h5py@2.7.0:', type=('build', 'run')) | ||||
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