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https://github.com/gentoo-mirror/gentoo.git
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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
20 lines
829 B
XML
20 lines
829 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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HDF5 for Python (h5py) is a general-purpose simple Python interface to the
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Hierarchical Data Format library, version 5. Existing Python and
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Numpy concepts are used for the interface. Almost all HDF5 features
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are available from Python, including things like compound datatypes
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(as used with Numpy recarray types), HDF5 attributes, hyperslab and
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point-based I/O, and more recent features in HDF 1.8 like resizable
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datasets and recursive iteration over entire files.
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</longdescription>
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<upstream>
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<remote-id type="google-code">h5py</remote-id>
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<remote-id type="pypi">h5py</remote-id>
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</upstream>
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</pkgmetadata>
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