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Blosc as subtree for merge
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FrancescAlted committed Apr 11, 2013
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2 changes: 1 addition & 1 deletion MANIFEST.in
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Expand Up @@ -3,5 +3,5 @@ include *.txt
include setup.py VERSION

recursive-include blosc *.py *.c
recursive-include c-blosc *.c *.h
recursive-include c-blosc/blosc *.c *.h
recursive-include LICENSES *
41 changes: 41 additions & 0 deletions README.rst
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Expand Up @@ -59,6 +59,47 @@ Also, some examples are available on python-blosc wiki page:

http://github.com/FrancescAlted/python-blosc/wiki

Merging Blosc sources from upstream
===================================

We use the `subtree merge technique
<http://git-scm.com/book/en/Git-Tools-Subtree-Merging>`_ to maintain the
upstream Blosc sources. In case you need to synchronise, the following recipe
may help to get setup the first time.

1) Add the upstream Blosc sources as an additional remote called
``c-blosc-origin``::

$ git remote add -f c-blosc-origin git://github.com/FrancescAlted/blosc.git

2) Checkout the ``master`` branch as ``c-blosc``::

$ git co -b c-blosc c-blosc-origin/master

3) Reset the ``c-blosc`` branch to the desired tag::

$ git reset --hard vX.Y.Z

4) Checkout the branch you want to subtree merge to::

$ git checkout master

5) Actually perform the subtree merge::

$ git merge --squash -s subtree --no-commit c-blosc

6) Finalize the subtree merge with a commit::

$ git commit -m "subtree merge blosc vX.Y.Z"

If you alread have the ``c-blosc-origin`` remote set up and the ``c-blosc``
branch created, you can just update it::

$ git checkout c-blosc
$ git pull

And then proceed with step 3 above.

Mailing list
============

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1 change: 1 addition & 0 deletions c-blosc/.gitignore
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bench/bench
59 changes: 59 additions & 0 deletions c-blosc/ANNOUNCE.rst
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===============================================================
Announcing Blosc 1.1.5
A blocking, shuffling and lossless compression library
===============================================================

What is new?
============

This is maintenance release fixing an issue that avoided compilation
with MSVC.

For more info, please see the release notes in:

https://github.com/FrancescAlted/blosc/wiki/Release-notes

What is it?
===========

Blosc (http://blosc.pytables.org) is a high performance compressor
optimized for binary data. It has been designed to transmit data to
the processor cache faster than the traditional, non-compressed,
direct memory fetch approach via a memcpy() OS call.

Blosc is the first compressor (that I'm aware of) that is meant not
only to reduce the size of large datasets on-disk or in-memory, but
also to accelerate object manipulations that are memory-bound.

It also comes with a filter for HDF5 (http://www.hdfgroup.org/HDF5) so
that you can easily implement support for Blosc in your favourite HDF5
tool.

Download sources
================

Please go to main web site:

http://blosc.pytables.org/sources/

or the github repository:

https://github.com/FrancescAlted/blosc

and download the most recent release from there.

Blosc is distributed using the MIT license, see LICENSES/BLOSC.txt for
details.

Mailing list
============

There is an official Blosc blosc mailing list at:

blosc@googlegroups.com
http://groups.google.es/group/blosc


----

**Enjoy data!**
22 changes: 22 additions & 0 deletions c-blosc/LICENSES/BLOSC.txt
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Blosc - A blocking, shuffling and lossless compression library

Copyright (C) 2009-2010 Francesc Alted (faltet@pytables.org)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

24 changes: 24 additions & 0 deletions c-blosc/LICENSES/FASTLZ.txt
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FastLZ - lightning-fast lossless compression library

Copyright (C) 2007 Ariya Hidayat (ariya@kde.org)
Copyright (C) 2006 Ariya Hidayat (ariya@kde.org)
Copyright (C) 2005 Ariya Hidayat (ariya@kde.org)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

34 changes: 34 additions & 0 deletions c-blosc/LICENSES/H5PY.txt
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Copyright Notice and Statement for the h5py Project

Copyright (c) 2008 Andrew Collette
http://h5py.alfven.org
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

a. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.

b. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the
distribution.

c. Neither the name of the author nor the names of contributors may
be used to endorse or promote products derived from this software
without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

25 changes: 25 additions & 0 deletions c-blosc/LICENSES/STDINT.txt
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Copyright (c) 2006-2008 Alexander Chemeris

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.

3. The name of the author may be used to endorse or promote products
derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED
WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
163 changes: 163 additions & 0 deletions c-blosc/README.rst
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===============================================================
Blosc: A blocking, shuffling and lossless compression library
===============================================================

:Author: Francesc Alted i Abad
:Contact: faltet@pytables.org
:URL: http://blosc.pytables.org

What is it?
===========

Blosc [1]_ is a high performance compressor optimized for binary data.
It has been designed to transmit data to the processor cache faster
than the traditional, non-compressed, direct memory fetch approach via
a memcpy() OS call. Blosc is the first compressor (that I'm aware of)
that is meant not only to reduce the size of large datasets on-disk or
in-memory, but also to accelerate memory-bound computations.

It uses the blocking technique (as described in [2]_) to reduce
activity on the memory bus as much as possible. In short, this
technique works by dividing datasets in blocks that are small enough
to fit in caches of modern processors and perform compression /
decompression there. It also leverages, if available, SIMD
instructions (SSE2) and multi-threading capabilities of CPUs, in order
to accelerate the compression / decompression process to a maximum.

You can see some recent benchmarks about Blosc performance in [3]_

Blosc is distributed using the MIT license, see LICENSES/BLOSC.txt for
details.

.. [1] http://blosc.pytables.org
.. [2] http://www.pytables.org/docs/CISE-12-2-ScientificPro.pdf
.. [3] http://blosc.pytables.org/trac/wiki/SyntheticBenchmarks
Meta-compression and other advantages over existing compressors
===============================================================

Blosc is not like other compressors: it should rather be called a
meta-compressor. This is so because it can use different compressors
and pre-conditioners (programs that generally improve compression
ratio). At any rate, it can also be called a compressor because it
happens that it already integrates one compressor and one
pre-conditioner, so it can actually work like so.

Currently it uses BloscLZ, a compressor heavily based on FastLZ
(http://fastlz.org/), and a highly optimized (it can use SSE2
instructions, if available) Shuffle pre-conditioner. However,
different compressors or pre-conditioners may be added in the future.

Blosc is in charge of coordinating the compressor and pre-conditioners
so that they can leverage the blocking technique (described above) as
well as multi-threaded execution (if several cores are available)
automatically. That makes that every compressor and pre-conditioner
will work at very high speeds, even if it was not initially designed
for doing blocking or multi-threading.

Other advantages of Blosc are:

* Meant for binary data: can take advantage of the type size
meta-information for improved compression ratio (using the
integrated shuffle pre-conditioner).

* Small overhead on non-compressible data: only a maximum of 16
additional bytes over the source buffer length are needed to
compress *every* input.

* Maximum destination length: contrarily to many other
compressors, both compression and decompression routines have
support for maximum size lengths for the destination buffer.

* Replacement for memcpy(): it supports a 0 compression level that
does not compress at all and only adds 16 bytes of overhead. In
this mode Blosc can copy memory usually faster than a plain
memcpy().

When taken together, all these features set Blosc apart from other
similar solutions.

Compiling your application with Blosc
=====================================

Blosc consists of the next files (in blosc/ directory)::

blosc.h and blosc.c -- the main routines
blosclz.h and blosclz.c -- the actual compressor
shuffle.h and shuffle.c -- the shuffle code

Just add these files to your project in order to use Blosc. For
information on compression and decompression routines, see blosc.h.

To compile using GCC (4.4 or higher recommended) on Unix::

gcc -O3 -msse2 -o myprog myprog.c blosc/*.c -lpthread

Using Windows and MINGW::

gcc -O3 -msse2 -o myprog myprog.c blosc\*.c

Using Windows and MSVC (2008 or higher recommended)::

cl /Ox /Femyprog.exe myprog.c blosc\*.c

A simple usage example is the benchmark in the bench/bench.c file.
Also, another example for using Blosc as a generic HDF5 filter is in
the hdf5/ directory.

I have not tried to compile this with compilers other than GCC, MINGW,
Intel ICC or MSVC yet. Please report your experiences with your own
platforms.

Testing Blosc
=============

Go to the test/ directory and issue::

$ make test

These tests are very basic, and only valid for platforms where GNU
make/gcc tools are available. If you really want to test Blosc the
hard way, look at:

http://blosc.pytables.org/trac/wiki/SyntheticBenchmarks

where instructions on how to intensively test (and benchmark) Blosc
are given. If while running these tests you get some error, please
report it back!

Wrapper for Python
==================

Blosc has an official wrapper for Python. See:

https://github.com/FrancescAlted/python-blosc

Filter for HDF5
===============

For those that want to use Blosc as a filter in the HDF5 library,
there is a sample implementation in the hdf5/ directory.

Mailing list
============

There is an official mailing list for Blosc at:

blosc@googlegroups.com
http://groups.google.es/group/blosc

Acknowledgments
===============

I'd like to thank the PyTables community that have collaborated in the
exhaustive testing of Blosc. With an aggregate amount of more than
300 TB of different datasets compressed *and* decompressed
successfully, I can say that Blosc is pretty safe now and ready for
production purposes. Also, Valentin Haenel did a terrific work fixing
typos and improving docs and the plotting script.


----

**Enjoy data!**
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