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<title>delta/python-packages/numpy.git/numpy/core/_methods.py, branch v1.12.0rc1</title>
<subtitle>github.com: numpy/numpy.git
</subtitle>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/'/>
<entry>
<title>Keep the subclass and update the docstring per the comment.</title>
<updated>2016-11-03T17:37:16+00:00</updated>
<author>
<name>Frederic Bastien</name>
<email>nouiz@nouiz.org</email>
</author>
<published>2016-11-03T17:37:16+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=f7378efe8884cf4d79cee1d880f1daf9420bd649'/>
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</entry>
<entry>
<title>Simplify and still reuse out with float16 inputs.</title>
<updated>2016-10-31T15:12:04+00:00</updated>
<author>
<name>Frederic Bastien</name>
<email>nouiz@nouiz.org</email>
</author>
<published>2016-10-31T15:12:04+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=e1e76fefbd5a41ae14308a43245b4ecdf3099252'/>
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</entry>
<entry>
<title>[ENH]Make numpy.mean() do more precise computation without changing the output dtype that stay in float16.</title>
<updated>2016-10-29T01:33:04+00:00</updated>
<author>
<name>Frederic Bastien</name>
<email>nouiz@nouiz.org</email>
</author>
<published>2016-10-29T00:09:45+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=530d67191287b8dc625bfc49664ad08b22e9e4d3'/>
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<pre>
</pre>
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</content>
</entry>
<entry>
<title>ENH: Add stacklevel to all (or almost all) our function calls</title>
<updated>2016-09-02T14:39:17+00:00</updated>
<author>
<name>Sebastian Berg</name>
<email>sebastian@sipsolutions.net</email>
</author>
<published>2016-01-23T14:58:58+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=7884a8c9f5f5c6657413dbeaa59ad969280d38ea'/>
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<pre>
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</entry>
<entry>
<title>STY: PEP8 fixes for numpy/core/*.py</title>
<updated>2015-07-05T18:18:26+00:00</updated>
<author>
<name>Charles Harris</name>
<email>charlesr.harris@gmail.com</email>
</author>
<published>2015-07-05T17:47:29+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=8b3e9ae5262c1da1118370cd6e83db9b2166952e'/>
<id>8b3e9ae5262c1da1118370cd6e83db9b2166952e</id>
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</entry>
<entry>
<title>ENH: avoid keyword arguments for some ufunc.reduce wrappers</title>
<updated>2014-05-15T21:52:43+00:00</updated>
<author>
<name>Julian Taylor</name>
<email>jtaylor.debian@googlemail.com</email>
</author>
<published>2014-01-10T23:41:24+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=f0497eccf273ffa5eae8418d4ca699d85ab7b41e'/>
<id>f0497eccf273ffa5eae8418d4ca699d85ab7b41e</id>
<content type='text'>
PyArg_ParseTupleAndKeywords is pretty slow for keywords as it needs to
create python strings first. Using positional arguments avoids this and
gains 15-20% performance for small reductions.
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PyArg_ParseTupleAndKeywords is pretty slow for keywords as it needs to
create python strings first. Using positional arguments avoids this and
gains 15-20% performance for small reductions.
</pre>
</div>
</content>
</entry>
<entry>
<title>BUG: Fix mean, var, std methods for object arrays.</title>
<updated>2014-02-10T18:07:17+00:00</updated>
<author>
<name>Charles Harris</name>
<email>charlesr.harris@gmail.com</email>
</author>
<published>2014-02-09T02:04:12+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=4ebf25e1e3b3b0c8619cce395a96d0dffa9e4e8a'/>
<id>4ebf25e1e3b3b0c8619cce395a96d0dffa9e4e8a</id>
<content type='text'>
This takes care to preserve the object type for scalar returns and
fixes the error that resulted when the scalar did not have a dtype
attribute.

Closes #4063.
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<pre>
This takes care to preserve the object type for scalar returns and
fixes the error that resulted when the scalar did not have a dtype
attribute.

Closes #4063.
</pre>
</div>
</content>
</entry>
<entry>
<title>MAINT: typo</title>
<updated>2013-10-19T16:35:18+00:00</updated>
<author>
<name>Lars Buitinck</name>
<email>larsmans@gmail.com</email>
</author>
<published>2013-10-19T15:51:10+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=405753a1051d26590b0e8844eb0d42a2e00c4808'/>
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</entry>
<entry>
<title>BUG: Make ndarray.{var, std} work for scalars.</title>
<updated>2013-10-04T22:07:38+00:00</updated>
<author>
<name>Charles Harris</name>
<email>charlesr.harris@gmail.com</email>
</author>
<published>2013-10-04T18:48:24+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=2f77e1e6e6b91a9cd11c422342c69e8fd68ee803'/>
<id>2f77e1e6e6b91a9cd11c422342c69e8fd68ee803</id>
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<pre>
</pre>
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</content>
</entry>
<entry>
<title>STY: Giant whitespace cleanup.</title>
<updated>2013-08-18T17:20:45+00:00</updated>
<author>
<name>Charles Harris</name>
<email>charlesr.harris@gmail.com</email>
</author>
<published>2013-08-18T17:16:06+00:00</published>
<link rel='alternate' type='text/html' href='http://git.baserock.org/cgit/delta/python-packages/numpy.git/commit/?id=8ddb0ce0acafe75d78df528b4d2540dfbf4b364d'/>
<id>8ddb0ce0acafe75d78df528b4d2540dfbf4b364d</id>
<content type='text'>
Now is as good a time as any with open PR's at a low.
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Now is as good a time as any with open PR's at a low.
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