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<title>delta/python-packages/numpy.git/numpy/matrixlib, branch v1.18.0</title>
<subtitle>github.com: numpy/numpy.git
</subtitle>
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<entry>
<title>DOC: convert `None` to bare None or ``None``</title>
<updated>2019-10-15T15:03:11+00:00</updated>
<author>
<name>mattip</name>
<email>matti.picus@gmail.com</email>
</author>
<published>2019-10-15T15:03:11+00:00</published>
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<entry>
<title>MAINT: Convert property to @property</title>
<updated>2019-02-25T02:26:37+00:00</updated>
<author>
<name>Alex Watt</name>
<email>alex@alexcwatt.com</email>
</author>
<published>2019-02-25T01:00:49+00:00</published>
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<entry>
<title>MAINT: Move pickle import to numpy.compat</title>
<updated>2019-02-21T19:49:33+00:00</updated>
<author>
<name>Charles Harris</name>
<email>charlesr.harris@gmail.com</email>
</author>
<published>2019-02-21T19:49:33+00:00</published>
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<content type='text'>
The pickle module was being imported from numpy.core.numeric. It was
defined there in order to use pickle5 when available in Python3 and
cpickle in Python2. The numpy.compat module seems a better place for
that.
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<pre>
The pickle module was being imported from numpy.core.numeric. It was
defined there in order to use pickle5 when available in Python3 and
cpickle in Python2. The numpy.compat module seems a better place for
that.
</pre>
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</content>
</entry>
<entry>
<title>TST, DOC: enable refguide_check</title>
<updated>2018-12-14T18:14:05+00:00</updated>
<author>
<name>Tyler Reddy</name>
<email>tyler.je.reddy@gmail.com</email>
</author>
<published>2018-11-14T19:36:59+00:00</published>
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* ported the refguide_check module from SciPy for usage
in NumPy docstring execution/ verification; added the
refguide_check run to Azure Mac OS CI

* adjusted NumPy docstrings such that refguide_check passes
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* ported the refguide_check module from SciPy for usage
in NumPy docstring execution/ verification; added the
refguide_check run to Azure Mac OS CI

* adjusted NumPy docstrings such that refguide_check passes
</pre>
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</content>
</entry>
<entry>
<title>MAINT: Review F401,F841,F842 flake8 errors (unused variables and imports) (#12448)</title>
<updated>2018-12-06T19:05:08+00:00</updated>
<author>
<name>Roman Yurchak</name>
<email>rth.yurchak@pm.me</email>
</author>
<published>2018-12-06T19:05:08+00:00</published>
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* Review F401,F841,F842 flake8 errors (unused variables, imports)

* Review comments

* More tests in test_installed_npymath_ini

* Review comments
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* Review F401,F841,F842 flake8 errors (unused variables, imports)

* Review comments

* More tests in test_installed_npymath_ini

* Review comments
</pre>
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<entry>
<title>ENH: set correct __module__ for objects in numpy's public API</title>
<updated>2018-11-14T04:24:31+00:00</updated>
<author>
<name>Stephan Hoyer</name>
<email>shoyer@google.com</email>
</author>
<published>2018-11-13T17:38:07+00:00</published>
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<id>4d24bbda32d133d51940b0691bd9b428d4198eaa</id>
<content type='text'>
Fixes GH-12271

Tests verify that everything in ``dir(numpy)`` either has ``__module__`` set to
``'numpy'``, or appears in an explicit whitelist of undocumented functions and
exported bulitins. These should eventually be documented or removed.

I also identified a handful of functions for which I had accidentally not setup
dispatch for with ``__array_function__`` before, because they were listed under
"ndarray methods" in ``_add_newdocs.py``. I guess that should be a lesson in
trusting code comments :).
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Fixes GH-12271

Tests verify that everything in ``dir(numpy)`` either has ``__module__`` set to
``'numpy'``, or appears in an explicit whitelist of undocumented functions and
exported bulitins. These should eventually be documented or removed.

I also identified a handful of functions for which I had accidentally not setup
dispatch for with ``__array_function__`` before, because they were listed under
"ndarray methods" in ``_add_newdocs.py``. I guess that should be a lesson in
trusting code comments :).
</pre>
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</entry>
<entry>
<title>MAINT, TST import pickle from numpy.core.numeric</title>
<updated>2018-10-10T12:53:45+00:00</updated>
<author>
<name>Pierre Glaser</name>
<email>pierreglaser@msn.com</email>
</author>
<published>2018-09-19T15:07:25+00:00</published>
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<content type='text'>
All imports of pickle from numpy modules are now done this way:
&gt;&gt;&gt; from numpy.core.numeric import pickle

Also, some loops on protocol numbers are added over pickle tests that
were not caught from #12090
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All imports of pickle from numpy modules are now done this way:
&gt;&gt;&gt; from numpy.core.numeric import pickle

Also, some loops on protocol numbers are added over pickle tests that
were not caught from #12090
</pre>
</div>
</content>
</entry>
<entry>
<title>reverted to previous array_dump and array_dumps version</title>
<updated>2018-10-05T14:14:20+00:00</updated>
<author>
<name>Pierre Glaser</name>
<email>pierreglaser@msn.com</email>
</author>
<published>2018-10-05T14:02:52+00:00</published>
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<entry>
<title>removed usage of np.ndarray.dump[s]</title>
<updated>2018-10-05T14:01:28+00:00</updated>
<author>
<name>Pierre Glaser</name>
<email>pierreglaser@msn.com</email>
</author>
<published>2018-10-05T14:01:28+00:00</published>
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<entry>
<title>loop over protocol for pickle tests</title>
<updated>2018-10-05T12:12:18+00:00</updated>
<author>
<name>Pierre Glaser</name>
<email>pierreglaser@msn.com</email>
</author>
<published>2018-10-05T11:26:59+00:00</published>
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