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Merge pull request numpy#1 from charris/initial-stuff
Initial stuff
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‎npytypes/rational/LICENSE‎

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Copyright 2011, Geoffrey Irving, Eugene d'Eon.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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1. Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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3. The name of the author may not be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
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IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
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OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
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NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
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TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

‎npytypes/rational/Makefile‎

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all: rational.so
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rational.so: rational.c
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python setup.py build
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cp build/lib.*/rational.so .
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.PHONY: clean test
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clean:
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rm -f *.o *.E *.so

‎npytypes/rational/README.md‎

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Test code for user defined types in Numpy
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=========================================
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This code implements fixed precision rational numbers exposed to Python as
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a test of user-defined type support in Numpy.
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### Dependencies
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* [python](http://python.org)
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* [numpy](http://numpy.scipy.org): Requires a patched version (see below)
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* [py.test](http://pytest.org): To run tests
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On a Mac, these can be obtained through [MacPorts](http://www.macports.org) via
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sudo port install py26-numpy py26-py
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The original version of this code exposed several bugs in the (hopefully) old
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version of numpy, so if it fails try upgrading numpy. My branch which fixed
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all but one of the bugs uncovered is here:
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https://github.com/girving/numpy/tree/fixuserloops
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These changes should be incorporated in the main numpy git repo fairly soon.
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### Usage
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To build and run the tests, do
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make
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py.test

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