pyadjoint/setup.py at master · MiladHB/pyadjoint · GitHub

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from itertools import chain
from setuptools import setup

extras = {
    'moola': ['moola>=0.1.6'],
    'test': ['pytest>=3.10', 'flake8', 'coverage'],
    'visualisation': ['tensorflow', 'protobuf==3.6.0',
                      'networkx', 'pygraphviz'],
    'meshing': ['pygmsh', 'meshio'],
}
# 'all' includes all of the above
extras['all'] = list(chain(*extras.values()))

setup(name='dolfin_adjoint',
      version='2019.1.2',
      description='High-level automatic differentiation library for FEniCS.',
      author='Sebastian Kenji Mitusch',
      author_email='sebastkm@math.uio.no',
      packages=['fenics_adjoint',
                'fenics_adjoint.types',
                'fenics_adjoint.blocks',
                'dolfin_adjoint',
                'dolfin_adjoint_common',
                'dolfin_adjoint_common.blocks',
                'firedrake_adjoint',
                'numpy_adjoint',
                'pyadjoint',
                'pyadjoint.optimization'],
      package_dir={'fenics_adjoint': 'fenics_adjoint', 'pyadjoint': 'pyadjoint',
                   'firedrake_adjoint': 'firedrake_adjoint', 'dolfin_adjoint': 'dolfin_adjoint',
                   'dolfin_adjoint_common': 'dolfin_adjoint_common', 'numpy_adjoint': 'numpy_adjoint'},
      install_requires=['scipy>=1.0'],
      extras_require=extras
      )