# Copyright 2013-2019 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 * import platform class PyNumpy(PythonPackage): """NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities""" homepage = "http://www.numpy.org/" url = "https://pypi.io/packages/source/n/numpy/numpy-1.15.1.zip" install_time_test_callbacks = ['install_test', 'import_module_test'] import_modules = [ 'numpy', 'numpy.compat', 'numpy.core', 'numpy.distutils', 'numpy.doc', 'numpy.f2py', 'numpy.fft', 'numpy.lib', 'numpy.linalg', 'numpy.ma', 'numpy.matrixlib', 'numpy.polynomial', 'numpy.random', 'numpy.testing', 'numpy.distutils.command', 'numpy.distutils.fcompiler' ] version('1.15.2', sha256='27a0d018f608a3fe34ac5e2b876f4c23c47e38295c47dd0775cc294cd2614bc1') version('1.15.1', '898004d5be091fde59ae353e3008fe9b') version('1.14.3', '97416212c0a172db4bc6b905e9c4634b') version('1.14.2', '080f01a19707cf467393e426382c7619') version('1.14.1', 'b8324ef90ac9064cd0eac46b8b388674') version('1.14.0', 'c12d4bf380ac925fcdc8a59ada6c3298') version('1.13.3', '300a6f0528122128ac07c6deb5c95917') version('1.13.1', '2c3c0f4edf720c3a7b525dacc825b9ae') version('1.13.0', 'fd044f0b8079abeaf5e6d2e93b2c1d03') version('1.12.1', 'c75b072a984028ac746a6a332c209a91') version('1.12.0', '33e5a84579f31829bbbba084fe0a4300') version('1.11.2', '8308cc97be154d2f64a2387ea863c2ac') version('1.11.1', '5caa3428b24aaa07e72c79d115140e46') version('1.11.0', '19ce5c4eb16d663a0713daf0018a3021') version('1.10.4', '510ffc322c635511e7be95d225b6bcbb') version('1.9.2', 'e80c19d2fb25af576460bb7dac31c59a') version('1.9.1', '223532d8e1bdaff5d30936439701d6e1') variant('blas', default=True, description='Build with BLAS support') variant('lapack', default=True, description='Build with LAPACK support') depends_on('python@2.7:2.8,3.4:', type=('build', 'run')) depends_on('py-setuptools', type='build') depends_on('blas', when='+blas') depends_on('lapack', when='+lapack') depends_on('py-nose@1.0.0:', when='@:1.14', type='test') depends_on('py-pytest', when='@1.15:', type='test') def setup_dependent_package(self, module, dependent_spec): python_version = self.spec['python'].version.up_to(2) self.spec.include = join_path( self.prefix.lib, 'python{0}'.format(python_version), 'site-packages', 'numpy/core/include') def patch(self): spec = self.spec def write_library_dirs(f, dirs): f.write('library_dirs=%s\n' % dirs) if not ((platform.system() == "Darwin") and (platform.mac_ver()[0] == '10.12')): f.write('rpath=%s\n' % dirs) # for build notes see http://www.scipy.org/scipylib/building/linux.html blas_info = [] lapack_info = [] lapackblas_info = [] if '+lapack' in spec: lapack_info += spec['lapack'].libs if '+blas' in spec: blas_info += spec['blas'].libs lapackblas_info = lapack_info + blas_info def write_empty_libs(f, provider): f.write('[{0}]\n'.format(provider)) f.write('libraries=\n') write_library_dirs(f, '') if '+blas' in spec or '+lapack' in spec: # note that one should not use [blas_opt] and [lapack_opt], see # https://github.com/numpy/numpy/commit/ffd4332262ee0295cb942c94ed124f043d801eb6 with open('site.cfg', 'w') as f: # Unfortunately, numpy prefers to provide each BLAS/LAPACK # differently. blas_names = ','.join(blas_info.names) blas_dirs = ':'.join(blas_info.directories) lapack_names = ','.join(lapack_info.names) lapack_dirs = ':'.join(lapack_info.directories) lapackblas_names = ','.join(lapackblas_info.names) lapackblas_dirs = ':'.join(lapackblas_info.directories) handled_blas_and_lapack = False # Special treatment for some (!) BLAS/LAPACK. Note that # in this case library_dirs can not be specified within [ALL]. if '^openblas' in spec: f.write('[openblas]\n') f.write('libraries=%s\n' % lapackblas_names) write_library_dirs(f, lapackblas_dirs) handled_blas_and_lapack = True else: write_empty_libs(f, 'openblas') if '^mkl' in spec: # numpy does not expect system libraries needed for MKL # here. # names = [x for x in names if x.startswith('mkl')] # FIXME: as of @1.11.2, numpy does not work with separately # specified threading and interface layers. A workaround is # a terribly bad idea to use mkl_rt. In this case Spack # will no longer be able to guarantee that one and the # same variant of Blas/Lapack (32/64bit, threaded/serial) # is used within the DAG. This may lead to a lot of # hard-to-debug segmentation faults on user's side. Users # may also break working installation by (unconsciously) # setting environment variable to switch between different # interface and threading layers dynamically. From this # perspective it is no different from throwing away RPATH's # and using LD_LIBRARY_PATH throughout Spack. f.write('[mkl]\n') f.write('mkl_libs=%s\n' % 'mkl_rt') write_library_dirs(f, lapackblas_dirs) handled_blas_and_lapack = True else: # Without explicitly setting the search directories to be # an empty list, numpy may retrieve and use mkl libs from # the system. write_empty_libs(f, 'mkl') if '^atlas' in spec: f.write('[atlas]\n') f.write('atlas_libs=%s\n' % lapackblas_names) write_library_dirs(f, lapackblas_dirs) handled_blas_and_lapack = True else: write_empty_libs(f, 'atlas') if '^netlib-lapack' in spec: # netlib requires blas and lapack listed # separately so that scipy can find them if spec.satisfies('+blas'): f.write('[blas]\n') f.write('blas_libs=%s\n' % blas_names) write_library_dirs(f, blas_dirs) if spec.satisfies('+lapack'): f.write('[lapack]\n') f.write('lapack_libs=%s\n' % lapack_names) write_library_dirs(f, lapack_dirs) handled_blas_and_lapack = True if not handled_blas_and_lapack: # The section title for the defaults changed in @1.10, see # https://github.com/numpy/numpy/blob/master/site.cfg.example if spec.satisfies('@:1.9.2'): f.write('[DEFAULT]\n') else: f.write('[ALL]\n') f.write('libraries=%s\n' % lapackblas_names) write_library_dirs(f, lapackblas_dirs) def build_args(self, spec, prefix): args = [] # From NumPy 1.10.0 on it's possible to do a parallel build. if self.version >= Version('1.10.0'): # But Parallel build in Python 3.5+ is broken. See: # https://github.com/spack/spack/issues/7927 # https://github.com/scipy/scipy/issues/7112 if spec['python'].version < Version('3.5'): args = ['-j', str(make_jobs)] return args def setup_environment(self, spack_env, run_env): python_version = self.spec['python'].version.up_to(2) include_path = join_path( self.prefix.lib, 'python{0}'.format(python_version), 'site-packages', 'numpy/core/include') run_env.prepend_path('CPATH', include_path) def test(self): # `setup.py test` is not supported. Use one of the following # instead: # # - `python runtests.py` (to build and test) # - `python runtests.py --no-build` (to test installed numpy) # - `>>> numpy.test()` (run tests for installed numpy # from within an interpreter) pass def install_test(self): # Change directories due to the following error: # # ImportError: Error importing numpy: you should not try to import # numpy from its source directory; please exit the numpy # source tree, and relaunch your python interpreter from there. with working_dir('spack-test', create=True): python('-c', 'import numpy; numpy.test("full", verbose=2)')