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56bd759df1
This commit represents a new era for Gentoo: Storing the gentoo-x86 tree in Git, as converted from CVS. This commit is the start of the NEW history. Any historical data is intended to be grafted onto this point. Creation process: 1. Take final CVS checkout snapshot 2. Remove ALL ChangeLog* files 3. Transform all Manifests to thin 4. Remove empty Manifests 5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$ 5.1. Do not touch files with -kb/-ko keyword flags. Signed-off-by: Robin H. Johnson <robbat2@gentoo.org> X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed
24 lines
900 B
XML
24 lines
900 B
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<herd>python</herd>
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<herd>sci</herd>
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<longdescription lang="en">
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The numexpr package evaluates multiple-operator array expressions
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many times faster than NumPy can. It accepts the expression as a
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string, analyzes it, rewrites it more efficiently, and compiles it
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to faster Python code on the fly. It's the next best thing to
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writing the expression in C and compiling it with a specialized
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just-in-time (JIT) compiler, i.e. it does not require a compiler at
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runtime.
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</longdescription>
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<use>
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<flag name="mkl">Enable support for Intel Vector Math Library, part of
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<pkg>sci-libs/mkl</pkg>.</flag>
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</use>
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<upstream>
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<remote-id type="pypi">numexpr</remote-id>
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<remote-id type="github">pydata/numexpr</remote-id>
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</upstream>
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</pkgmetadata>
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