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new file: m/mkl/mkl-2017.4.239-GCC-6.3.0-2.27.eb
new file: m/mkl/mkl-2017.4.239.eb modified: n/numpy/numpy-1.13.3-Py-3.6.eb modified: p/Python/Python-3.6.2-base.eb modified: p/Python/Python-3.6.4-base.eb new file: p/pudb/pudb-2017.1.4-Py-2.7.eb new file: p/pudb/pudb-2017.1.4-Py-3.6.eb modified: s/scipy/scipy-1.0.0-Py-3.6.eb deleted: p/Python/.Python-3.6.4-base.eb.swp
This commit is contained in:
Lukáš Krupčík
parent
5727523114
commit
98f117d90d
34
m/mkl/mkl-2017.4.239-GCC-6.3.0-2.27.eb
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34
m/mkl/mkl-2017.4.239-GCC-6.3.0-2.27.eb
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name = 'mkl'
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version = '2017.4.239'
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homepage = 'http://software.intel.com/en-us/intel-mkl/'
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description = """Intel Math Kernel Library is a library of highly optimized,
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extensively threaded math routines for science, engineering, and financial
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applications that require maximum performance. Core math functions include
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BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more."""
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toolchain = {'name': 'GCC', 'version': '6.3.0-2.27'}
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sources = ['l_mkl_%(version)s.tgz']
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checksums = ['3066272dd0ad3da7961b3d782e1fab3b']
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dontcreateinstalldir = 'True'
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interfaces = False
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postinstallcmds = [
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# extract the examples
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'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_mic_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_mic_c.tgz -C %(installdir)s/mkl/examples/',
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]
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modextravars = {
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'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
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}
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moduleclass = 'numlib'
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34
m/mkl/mkl-2017.4.239.eb
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m/mkl/mkl-2017.4.239.eb
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name = 'mkl'
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version = '2017.4.239'
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homepage = 'http://software.intel.com/en-us/intel-mkl/'
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description = """Intel Math Kernel Library is a library of highly optimized,
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extensively threaded math routines for science, engineering, and financial
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applications that require maximum performance. Core math functions include
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BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more."""
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toolchain = {'name': 'dummy', 'version': ''}
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sources = ['l_mkl_%(version)s.tgz']
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checksums = ['3066272dd0ad3da7961b3d782e1fab3b']
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dontcreateinstalldir = 'True'
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interfaces = False
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postinstallcmds = [
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# extract the examples
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'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_mic_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_mic_c.tgz -C %(installdir)s/mkl/examples/',
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]
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modextravars = {
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'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
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}
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moduleclass = 'numlib'
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@ -13,6 +13,10 @@ toolchain = {'name': 'Py', 'version': '3.6'}
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source_urls = ['https://github.com/numpy/numpy/releases/download/v%(version)s']
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sources = ['%(name)s-%(version)s.tar.gz']
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dependencies = [
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('mkl', '2017.4.239', '', True),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.6/site-packages/numpy-%(version)s-py3.6-linux-x86_64.egg/numpy'],
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@ -12,6 +12,10 @@ toolchainopts = {'pic': True, 'opt': True, 'optarch': True}
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source_urls = ['http://www.python.org/ftp/%(namelower)s/%(version)s/']
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sources = [SOURCE_TGZ]
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prebuildopts = 'export CFLAGS="-I${EBROOTXZ}/include" && '
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prebuildopts += 'export LDFLAGS="-L${EBROOTXZ}/lib" && '
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configopts = "--enable-optimizations"
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# python needs bzip2 to build the bz2 package
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dependencies = [
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('bzip2', '1.0.6'),
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@ -13,6 +13,10 @@ toolchainopts = {'pic': True, 'opt': True, 'optarch': True}
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source_urls = ['http://www.python.org/ftp/%(namelower)s/%(version)s/']
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sources = [SOURCE_TGZ]
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prebuildopts = 'export CFLAGS="-I${EBROOTXZ}/include" && '
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prebuildopts += 'export LDFLAGS="-L${EBROOTXZ}/lib" && '
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configopts = "--enable-optimizations"
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# python needs bzip2 to build the bz2 package
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dependencies = [
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('bzip2', '1.0.6'),
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20
p/pudb/pudb-2017.1.4-Py-2.7.eb
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20
p/pudb/pudb-2017.1.4-Py-2.7.eb
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# IT4Innovations 2018
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easyblock = "PythonPackage"
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name = 'pudb'
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version = '2017.1.4'
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homepage = 'https://pypi.python.org/pypi/pudb'
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description = 'PuDB is a full-screen, console-based visual debugger for Python.'
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toolchain = {'name': 'Py', 'version': '2.7'}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python2.7/site-packages/%(name)s-%(version)s-py2.7.egg'],
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}
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moduleclass = 'python'
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20
p/pudb/pudb-2017.1.4-Py-3.6.eb
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20
p/pudb/pudb-2017.1.4-Py-3.6.eb
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# IT4Innovations 2018
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easyblock = "PythonPackage"
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name = 'pudb'
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version = '2017.1.4'
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homepage = 'https://pypi.python.org/pypi/pudb'
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description = 'PuDB is a full-screen, console-based visual debugger for Python.'
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toolchain = {'name': 'Py', 'version': '3.6'}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.6/site-packages/%(name)s-%(version)s-py3.6.egg'],
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}
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moduleclass = 'python'
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40
s/scipy/scipy-1.0.0-Py-3.6-test.eb
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40
s/scipy/scipy-1.0.0-Py-3.6-test.eb
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# IT4Innovations 2018
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easyblock = 'PythonPackage'
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name = 'scipy'
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version = '1.0.0'
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versionsuffix = '-Py-3.6-test'
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homepage = 'http://scipy.org'
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description = """SciPy (pronounced 'Sigh Pie') is open-source software for mathematics, science, and engineering.
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It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and
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image processing, ODE solvers, and more."""
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = ['https://github.com/scipy/scipy/releases/download/v%(version)s']
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sources = [SOURCELOWER_TAR_GZ]
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dependencies = [
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('Py', '3.6'),
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('numpy', '1.13.3', '-Py-3.6-test'),
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]
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builddependencies = [
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('imkl', '2017.1.132', '', ('iimpi', '2017a')),
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]
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prebuildopts = 'echo "[mkl]" > site.cfg && '
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prebuildopts += 'echo "include_dirs = $EBROOTIMKL/mkl/include" >> site.cfg && '
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prebuildopts += 'echo "library_dirs = $EBROOTIMKL/mkl/lib/intel64" >> site.cfg && '
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prebuildopts += 'echo "mkl_libs = mkl_intel_lp64,mkl_intel_thread,mkl_core" >> site.cfg && '
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prebuildopts += 'echo "lapack_libs = mkl_lapack95_lp64" >> site.cfg && '
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.6/site-packages/scipy-1.0.0-py3.6-linux-x86_64.egg/scipy'],
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}
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sanity_check_commands = [('python', '-c "import scipy; assert(scipy.__version__ == \'%(version)s\')"')]
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moduleclass = 'python'
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@ -4,31 +4,24 @@ easyblock = 'PythonPackage'
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name = 'scipy'
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version = '1.0.0'
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versionsuffix = '-Py-3.6'
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homepage = 'http://scipy.org'
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description = """SciPy (pronounced 'Sigh Pie') is open-source software for mathematics, science, and engineering.
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It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and
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image processing, ODE solvers, and more."""
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = ['https://github.com/scipy/scipy/releases/download/v%(version)s']
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toolchain = {'name': 'Py', 'version': '3.6'}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCELOWER_TAR_GZ]
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dependencies = [
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('Py', '3.6'),
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('numpy', '1.13.3', '-Py-3.6'),
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]
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builddependencies = [
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('imkl', '2017.1.132', '', ('iimpi', '2017a')),
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# ('LAPACK', '3.7.1', '', ('gompi', '2017a')),
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# ('OpenBLAS', '0.2.19', '-LAPACK-3.7.0', ('GCC', '6.3.0-2.27')),
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('numpy', '1.13.3'),
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('mkl', '2017.4.239', '', True),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.6/site-packages/scipy-1.0.0-py3.6-linux-x86_64.egg/scipy'],
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'dirs': ['lib/python3.6/site-packages/%(name)s-%(version)s-py3.6-linux-x86_64.egg/scipy'],
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}
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sanity_check_commands = [('python', '-c "import scipy; assert(scipy.__version__ == \'%(version)s\')"')]
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