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Merge pull request #33 from migueldiascosta/eb350
prepare release notes for eb350
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easyblock = 'CMakeMake' | ||
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name = 'Blosc' | ||
version = '1.12.1' | ||
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homepage = 'http://www.blosc.org/' | ||
description = "Blosc, an extremely fast, multi-threaded, meta-compressor library" | ||
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toolchain = {'name': 'intel', 'version': '2017a'} | ||
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source_urls = ['https://github.com/Blosc/c-blosc/archive/'] | ||
sources = ['v%(version)s.tar.gz'] | ||
patches = ['Blosc-%(version)s_fix-aligned_alloc.patch'] | ||
checksums = [ | ||
'e04535e816bb942bedc9a0ba209944d1eb34e26e2d9cca37f114e8ee292cb3c8', # v1.12.1.tar.gz | ||
'be2dfd5a96f4293d7be9fab06620a1ef2c3c3100314af9b39b7c6ea1213ee8e5', # Blosc-1.12.1_fix-aligned_alloc.patch | ||
] | ||
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builddependencies = [('CMake', '3.9.1')] | ||
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sanity_check_paths = { | ||
'files': ['include/blosc-export.h', 'include/blosc.h', 'lib/libblosc.a', 'lib/libblosc.%s' % SHLIB_EXT], | ||
'dirs': [], | ||
} | ||
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moduleclass = 'lib' |
13 changes: 13 additions & 0 deletions
13
easybuild/easyconfigs/b/Blosc/Blosc-1.12.1_fix-aligned_alloc.patch
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fix for "undefined reference to `aligned_alloc'" on CentOS 6.x | ||
author: Kenneth Hoste (HPC-UGent) | ||
--- c-blosc-1.12.1/tests/test_common.h.orig 2017-12-08 18:25:53.622934199 +0100 | ||
+++ c-blosc-1.12.1/tests/test_common.h 2017-12-08 18:26:11.973155771 +0100 | ||
@@ -62,7 +62,7 @@ | ||
void *block = NULL; | ||
int32_t res = 0; | ||
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-#if _ISOC11_SOURCE || (__STDC_VERSION__ >= 201112L && !defined(__APPLE__)) | ||
+#if _ISOC11_SOURCE && __STDC_VERSION__ >= 201112L && !defined(__APPLE__) | ||
/* C11 aligned allocation. 'size' must be a multiple of the alignment. */ | ||
block = aligned_alloc(alignment, size); | ||
#elif defined(_WIN32) |
28 changes: 28 additions & 0 deletions
28
easybuild/easyconfigs/n/numexpr/numexpr-2.6.4-intel-2017a-Python-3.6.1.eb
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easyblock = 'PythonPackage' | ||
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name = 'numexpr' | ||
version = '2.6.4' | ||
versionsuffix = '-Python-%(pyver)s' | ||
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homepage = 'http://code.google.com/p/numexpr/' | ||
description = """The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. | ||
It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into | ||
code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a | ||
compiler at runtime.""" | ||
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toolchain = {'name': 'intel', 'version': '2017a'} | ||
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source_urls = ['https://github.com/pydata/numexpr/archive/'] | ||
sources = ['v%(version)s.tar.gz'] | ||
checksums = ['049da1c07bd62d2aba29887130ccc9aff9b90962cb779a7b7ddc15e580368fba'] | ||
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dependencies = [ | ||
('Python', '3.6.1'), | ||
] | ||
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sanity_check_paths = { | ||
'files': [], | ||
'dirs': ['lib/python%(pyshortver)s/site-packages'], | ||
} | ||
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moduleclass = 'math' |
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14 changes: 14 additions & 0 deletions
14
easybuild/easyconfigs/o/Octave/signal-1.3.2_fix-formula.patch
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fix for bug in gausswin making it produce wrong results | ||
see https://savannah.gnu.org/bugs/index.php?51657 | ||
author: Kenneth Hoste (HPC-UGent) | ||
--- signal-1.3.2/inst/gausswin.m.orig 2017-12-11 14:27:49.593981000 +0100 | ||
+++ signal-1.3.2/inst/gausswin.m 2017-12-11 14:30:59.032409000 +0100 | ||
@@ -37,7 +37,7 @@ | ||
a = 2.5; | ||
endif | ||
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- w = exp ( -0.5 * ( a/m * [ -(m-1) : 2 : m-1 ]' ) .^ 2 ); | ||
+ w = exp ( -0.5 * ( a/(m-1) * [ -(m-1) : 2 : m-1 ]' ) .^ 2 ); | ||
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endfunction | ||
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42 changes: 42 additions & 0 deletions
42
easybuild/easyconfigs/p/PyTables/PyTables-3.4.2-intel-2017a-Python-3.6.1.eb
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easyblock = 'PythonPackage' | ||
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name = 'PyTables' | ||
version = '3.4.2' | ||
versionsuffix = '-Python-%(pyver)s' | ||
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homepage = 'http://www.pytables.org' | ||
description = """PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope | ||
with extremely large amounts of data. PyTables is built on top of the HDF5 library, using the Python language and the | ||
NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical | ||
parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively browse, | ||
process and search very large amounts of data. One important feature of PyTables is that it optimizes memory and disk | ||
resources so that data takes much less space (specially if on-flight compression is used) than other solutions such as | ||
relational or object oriented databases.""" | ||
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toolchain = {'name': 'intel', 'version': '2017a'} | ||
toolchainopts = {'usempi': True} | ||
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source_urls = ['https://github.com/PyTables/PyTables/archive/'] | ||
sources = ['v%(version)s.tar.gz'] | ||
patches = ['pyTables-%(version)s-fix-libs.patch'] | ||
checksums = [ | ||
'629a0227bb2b315c5d97629073696609eaee41d0fc89e03f997412613cd46d3a', # v3.4.2.tar.gz | ||
'f34a05573e7843e67dab011bede8436074362041747c028b409fac9f599231a3', # pyTables-3.4.2-fix-libs.patch | ||
] | ||
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dependencies = [ | ||
('Python', '3.6.1'), | ||
('numexpr', '2.6.4', versionsuffix), | ||
('HDF5', '1.8.19'), | ||
('LZO', '2.10'), | ||
('Blosc', '1.12.1'), | ||
] | ||
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sanity_check_paths = { | ||
'files': ['bin/%s' % x for x in ['pt2to3', 'ptdump', 'ptrepack']], | ||
'dirs': ['lib/python%(pyshortver)s/site-packages'], | ||
} | ||
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options = {'modulename': 'tables'} | ||
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moduleclass = 'data' |