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author | V3n3RiX <venerix@redcorelinux.org> | 2017-10-09 18:53:29 +0100 |
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committer | V3n3RiX <venerix@redcorelinux.org> | 2017-10-09 18:53:29 +0100 |
commit | 4f2d7949f03e1c198bc888f2d05f421d35c57e21 (patch) | |
tree | ba5f07bf3f9d22d82e54a462313f5d244036c768 /dev-python/numexpr/metadata.xml |
reinit the tree, so we can have metadata
Diffstat (limited to 'dev-python/numexpr/metadata.xml')
-rw-r--r-- | dev-python/numexpr/metadata.xml | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/dev-python/numexpr/metadata.xml b/dev-python/numexpr/metadata.xml new file mode 100644 index 000000000000..2915727b034f --- /dev/null +++ b/dev-python/numexpr/metadata.xml @@ -0,0 +1,29 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> + <maintainer type="project"> + <email>python@gentoo.org</email> + <name>Python</name> + </maintainer> + <maintainer type="project"> + <email>sci@gentoo.org</email> + <name>Gentoo Science Project</name> + </maintainer> + <longdescription lang="en"> + 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 + to faster Python code on the fly. It's the next best thing to + writing the expression in C and compiling it with a specialized + just-in-time (JIT) compiler, i.e. it does not require a compiler at + runtime. +</longdescription> + <use> + <flag name="mkl">Enable support for Intel Vector Math Library, part of + <pkg>sci-libs/mkl</pkg>.</flag> + </use> + <upstream> + <remote-id type="pypi">numexpr</remote-id> + <remote-id type="github">pydata/numexpr</remote-id> + </upstream> +</pkgmetadata> |