6ccc430e8f
* add py-ufl package from fenics
* add py-fiat package from fenics
* add py-ffcx package from fenics
* add py-dijitso package from fenics
* add dolfinx library from fenics
* amend ffcx to use ufl and fiat master branches
* setup variants complex and int64 of dolfinx
* add dolfinx python library as package
* add test dependencies to py-dolfinx
* remove broken doc variant
* remove test dependencies from py-dolfinx
* flake8 fixes to dolfinx and py-dolfinx
* make sure dolfinx cmake picks up the correct python version
* list build phases in py-dolfinx package
* remove unnecessary package url
* make pkgconf a build dependency
* make all python dependencies build+run
* py-ffcx needs py-setuptools to be a build/run dependency to support ffcx executable
* remove unnecessary variants from dolfinx
* add missing dependencies to py-dijitso
* remove stray line from py-dolfinx
* simplify definition of build_directory in py-dolfinx
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* use depends_on("python") rather than extends("python") in py-ffcx
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* use depends_on("python") rather than extends("python") in py-fiat
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* use depends_on("python") rather than extends("python") in py-ufl
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* rename py-fiat to py-fenics-fiat
* rename py-ufl to py-fenics-ufl
* fix error in depends_on(petsc) definition
* add missing dep on numpy to py-fenics-fiat
* specify python@3.8: as requirement for all fenics components
* use tuples rather than list for depends_on type=
* specify eigen@3.3.7: as dependency for dolfinx
* add js947 and chrisrichardson as maintainers for the fenics packages
* remove scipy dependency from py-dolfinx
* rename package py-ffcx -> py-fenics-ffcx
* rename package dolfinx -> fenics-dolfinx
* rename package py-dolfinx -> py-fenics-dolfinx
* remove pointless URL from py-fenics-dolfinx package
* rename package py-dijitso -> py-fenics-dijitso
* formatting
* remove unecessary cmake args from fenics-dolfinx
* revert py-fenics-fiat python version to 3:
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* revert py-fenics-ufl python version to 3.5:
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* add conflict to fenics-dolfinx for C++17 support
* revert py-fenics-ffcx python version to 3.5:
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
35 lines
1.7 KiB
Python
35 lines
1.7 KiB
Python
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class PyFenicsFiat(PythonPackage):
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"""The FInite element Automatic Tabulator FIAT supports generation of
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arbitrary order instances of the Lagrange elements on lines, triangles, and
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tetrahedra. It is also capable of generating arbitrary order instances of
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Jacobi-type quadrature rules on the same element shapes. Further, H(div)
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and H(curl) conforming finite element spaces such as the families of
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Raviart-Thomas, Brezzi-Douglas-Marini and Nedelec are supported on
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triangles and tetrahedra. Upcoming versions will also support Hermite and
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nonconforming elements"""
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homepage = "https://fenicsproject.org/"
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url = "https://github.com/FEniCS/fiat/archive/2019.1.0.tar.gz"
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git = "https://github.com/FEniCS/fiat.git"
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maintainers = ["js947", "chrisrichardson"]
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version("master", branch="master")
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version('2019.1.0', sha256='2a6d175a825ed725843918ef28846edbcf710a879c2fe8caaeda77b1ce9b9a1c')
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version('2018.1.0', sha256='7468709c7aacf7dfb22c09fb5250448eb24084b9dd088ec2632a96d56c0f3830')
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version('2017.2.0', sha256='e4d3ffc86a0a717b3f17b9bb2d922214c342be27e5bdfbe50f110030bfff9729')
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version('2017.1.0.post1', sha256='1784fe1cb9479ca7cd85f63b0afa6e07634feec8d8e82fa8be4c480649cb9621')
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version('2017.1.0', sha256='d4288401ad16c4598720f9db0810a522f7f0eadad35d8211bac7120bce5fde94')
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depends_on('python@3:', type=('build', 'run'))
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depends_on('py-setuptools', type="build")
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depends_on('py-numpy', type=("build", "run"))
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depends_on('py-sympy', type=("build", "run"))
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