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Ensure same BLAS/LAPACK config from Numpy used in Scipy (#30818)

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* Call Numpy package's set_blas_lapack() and setup_build_environment() in Scipy package

* Remove broken link from comment

* Use .package attribute of spec to avoid import
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JDBetteridge 2022-05-27 18:46:21 +01:00 committed by GitHub
parent 78cac4d840
commit 1485931695
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1 changed files with 12 additions and 2 deletions
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14
var/spack/repos/builtin/packages/py-scipy/package.py
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@ -3,6 +3,7 @@
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
class PyScipy(PythonPackage):
"""SciPy (pronounced "Sigh Pie") is a Scientific Library for Python.
It provides many user-friendly and efficient numerical routines such
@ -83,8 +84,9 @@ class PyScipy(PythonPackage):
depends_on('python@3.8:3.10', when='@1.8:', type=('build', 'link', 'run'))
depends_on('py-pytest', type='test')
# NOTE: scipy picks up Blas/Lapack from numpy, see
# http://www.scipy.org/scipylib/building/linux.html#step-4-build-numpy-1-5-0
# NOTE: scipy should use the same Blas/Lapack as numpy
# This is achieved by calling the set_blas_lapack() and setup_build_environment()
# from numpy in the scipy spec
depends_on('blas')
depends_on('lapack')
# https://github.com/scipy/scipy/wiki/Dropping-support-for-Accelerate
@ -96,6 +98,11 @@ class PyScipy(PythonPackage):
patch('scipy-clang.patch', when='@1.5.0:1.6.3 %clang')
@run_before('install')
def set_blas_lapack(self):
# Pick up Blas/Lapack from numpy
self.spec['py-numpy'].package.set_blas_lapack()
def setup_build_environment(self, env):
# https://github.com/scipy/scipy/issues/9080
env.set('F90', spack_fc)
@ -104,6 +111,9 @@ def setup_build_environment(self, env):
if self.spec.satisfies('@:1.4 %gcc@10:'):
env.set('FFLAGS', '-fallow-argument-mismatch')
# Pick up Blas/Lapack from numpy
self.spec['py-numpy'].package.setup_build_environment(env)
def install_options(self, spec, prefix):
args = []
if spec.satisfies('%fj'):