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<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>b@edevau.net</email>
<name>Andreas Billmeier</name>
</maintainer>
<upstream>
<remote-id type="pypi">numexpr</remote-id>
<remote-id type="github">pydata/numexpr</remote-id>
<maintainer status="unknown">
<email>blosc@blosc.org</email>
<name>Blosc Development Team</name>
</maintainer>
</upstream>
<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>
</pkgmetadata>