18c2f1a57a
Explicitly import package utilities in all packages, and corresponding fallout.
This includes:
* rename `spack.package` to `spack.package_base`
* rename `spack.pkgkit` to `spack.package`
* update all packages in builtin, builtin_mock and tutorials to include `from spack.package import *`
* update spack style
* ensure packages include the import
* automatically add the new import and remove any/all imports of `spack` and `spack.pkgkit`
from packages when using `--fix`
* add support for type-checking packages with mypy when SPACK_MYPY_CHECK_PACKAGES
is set in the environment
* fix all type checking errors in packages in spack upstream
* update spack create to include the new imports
* update spack repo to inject the new import, injection persists to allow for a deprecation period
Original message below:
As requested @adamjstewart, update all packages to use pkgkit. I ended up using isort to do this,
so repro is easy:
```console
$ isort -a 'from spack.pkgkit import *' --rm 'spack' ./var/spack/repos/builtin/packages/*/package.py
$ spack style --fix
```
There were several line spacing fixups caused either by space manipulation in isort or by packages
that haven't been touched since we added requirements, but there are no functional changes in here.
* [x] add config to isort to make sure this is maintained going forward
51 lines
2.5 KiB
Python
51 lines
2.5 KiB
Python
# Copyright 2013-2022 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.package import *
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class PyNetworkit(PythonPackage):
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"""NetworKit is a growing open-source toolkit for large-scale network
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analysis. Its aim is to provide tools for the analysis of large networks
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in the size range from thousands to billions of edges. For this purpose,
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it implements efficient graph algorithms, many of them parallel to
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utilize multicore architectures. These are meant to compute standard
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measures of network analysis, such as degree sequences, clustering
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coefficients, and centrality measures. In this respect, NetworKit is
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comparable to packages such as NetworkX, albeit with a focus on
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parallelism and scalability."""
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homepage = "https://networkit.github.io/"
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pypi = "networkit/networkit-6.1.tar.gz"
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maintainers = ['fabratu']
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version('9.0', sha256='e27872d0d6a8a0a1ba862b0dab6adb4f0046fe6b20d3c47863075d1ee70226d3')
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version('8.1', sha256='5ff9e61496259280df4f913b1e37f51ca6f94974c4b9f623851f4d518f5ce0d5')
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version('8.0', sha256='36c30e894e835bf93f0aa0fb0b526758234e74318150820911e024ffe5ec1fd2')
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version('7.1', sha256='8609dc7a574a8a82d8880b8b1e3dfdd9c59ad67cd02135628e675c482fe98a96')
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version('7.0', sha256='eea4b5e565d6990b674e1c7f4d598be9377d57b61d0d82883ecc39edabaf3631')
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version('6.1', sha256='f7fcb50dec66a8253f85c10ff9314100de013c7578d531c81d3f71bc6cf8f093')
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# Required dependencies
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depends_on('cmake', type='build')
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depends_on('libnetworkit@9.0', type=('build', 'link'), when='@9.0')
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depends_on('libnetworkit@8.1', type=('build', 'link'), when='@8.1')
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depends_on('libnetworkit@8.0', type=('build', 'link'), when='@8.0')
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depends_on('libnetworkit@7.1', type=('build', 'link'), when='@7.1')
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depends_on('libnetworkit@7.0', type=('build', 'link'), when='@7.0')
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depends_on('libnetworkit@6.1', type=('build', 'link'), when='@6.1')
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depends_on('llvm-openmp', when='%apple-clang')
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depends_on('ninja', type='build')
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depends_on('py-cython', type='build')
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depends_on('py-numpy', type=('build', 'run'))
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depends_on('py-scipy', type=('build', 'run'))
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depends_on('py-setuptools', type='build')
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depends_on('python@3:', type=('build', 'run'))
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def install_options(self, spec, prefix):
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# Enable ext. core-library + parallel build
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return ['-j{0}'.format(make_jobs)]
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