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| author | Manuela Kuhn <36827019+manuelakuhn@users.noreply.github.com> | 2021-09-26 11:20:36 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-09-26 09:20:36 +0000 |
| commit | ab85961e73d24ac482ce276c018f3aa44c08f208 (patch) | |
| tree | 1276f9068263abfb5d8ba351757a3974149a3d16 /var | |
| parent | 72cabcf45492940724aa750d393761894e4120fa (diff) | |
| download | spack-ab85961e73d24ac482ce276c018f3aa44c08f208.tar.gz spack-ab85961e73d24ac482ce276c018f3aa44c08f208.tar.bz2 spack-ab85961e73d24ac482ce276c018f3aa44c08f208.tar.xz spack-ab85961e73d24ac482ce276c018f3aa44c08f208.zip | |
py-datalad-hirni: add new package (#26227)
Diffstat (limited to 'var')
| -rw-r--r-- | var/spack/repos/builtin/packages/py-datalad-hirni/package.py | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/py-datalad-hirni/package.py b/var/spack/repos/builtin/packages/py-datalad-hirni/package.py new file mode 100644 index 0000000000..727d82d3b5 --- /dev/null +++ b/var/spack/repos/builtin/packages/py-datalad-hirni/package.py @@ -0,0 +1,23 @@ +# Copyright 2013-2021 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 PyDataladHirni(PythonPackage): + """DataLad extension for raw data capturing and conversion workflows""" + + homepage = "https://github.com/psychoinformatics-de/datalad-hirni" + pypi = "datalad_hirni/datalad_hirni-0.0.8.tar.gz" + + version('0.0.8', sha256='4a43fd8b895763fe930a7f98dabcf5c152a0680b6fdadccc1defce460d135dc7') + + depends_on('py-setuptools', type='build') + depends_on('py-datalad+full@0.14.0:', type=('build', 'run')) + depends_on('py-datalad-metalad@0.2.0:', type=('build', 'run')) + depends_on('py-datalad-neuroimaging@0.3.1:', type=('build', 'run')) + depends_on('py-datalad-container@1.1.2:', type=('build', 'run')) + depends_on('py-datalad-webapp@0.3:', type=('build', 'run')) + depends_on('git-annex', type='run') |