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<title>delta/python-packages/numpy.git/numpy, branch issue_20025</title>
<subtitle>github.com: numpy/numpy.git
</subtitle>
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<entry>
<title>BUG, SIMD: Fix unsigned 8-bit integer divison by a scalar</title>
<updated>2021-10-23T06:13:42+00:00</updated>
<author>
<name>Sayed Adel</name>
<email>seiko@imavr.com</email>
</author>
<published>2021-10-23T05:56:29+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=4682087b93294a90f0e540ab0d8fd7e6e5afdd09'/>
<id>4682087b93294a90f0e540ab0d8fd7e6e5afdd09</id>
<content type='text'>
  Same as 64-bit divistion, except quad wide divison leads
  to inaccurate multiplier in certain cases when the log2 of
  the divisor overflow to zero.
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<pre>
  Same as 64-bit divistion, except quad wide divison leads
  to inaccurate multiplier in certain cases when the log2 of
  the divisor overflow to zero.
</pre>
</div>
</content>
</entry>
<entry>
<title>TST, SIMD: Enhance the test case for SIMD integer division by adding several data ranges</title>
<updated>2021-10-23T06:13:37+00:00</updated>
<author>
<name>Sayed Adel</name>
<email>seiko@imavr.com</email>
</author>
<published>2021-10-23T05:55:22+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=437a249250248b2cbf7acd8a2a0f836e3b98a547'/>
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<pre>
</pre>
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</entry>
<entry>
<title>BUG, SIMD: Fix 64-bit integer divison by a scalar on MSVC &lt;= 2017</title>
<updated>2021-10-21T13:05:17+00:00</updated>
<author>
<name>Sayed Adel</name>
<email>seiko@imavr.com</email>
</author>
<published>2021-10-21T13:05:17+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=db6e91eca062098af0a150ccb4542eb1be972c99'/>
<id>db6e91eca062098af0a150ccb4542eb1be972c99</id>
<content type='text'>
  The multiplier factor that used for integer division wasn't correctly
  calculated due inaccurate implementation of the emulated version
  of intrinsic `_udiv128`.
</content>
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<pre>
  The multiplier factor that used for integer division wasn't correctly
  calculated due inaccurate implementation of the emulated version
  of intrinsic `_udiv128`.
</pre>
</div>
</content>
</entry>
<entry>
<title>MAINT: core: Update the comment about _parse_signature with more complete info.</title>
<updated>2021-10-20T03:30:04+00:00</updated>
<author>
<name>Warren Weckesser</name>
<email>warren.weckesser@gmail.com</email>
</author>
<published>2021-10-20T03:27:42+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=d9f8333fc8fb0b1de88df7864c9f29a47eece3e6'/>
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<pre>
</pre>
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</entry>
<entry>
<title>BUG: core: Fix incorrect check of NpyIter_Deallocate return value.</title>
<updated>2021-10-19T16:50:17+00:00</updated>
<author>
<name>warren</name>
<email>warren.weckesser@gmail.com</email>
</author>
<published>2021-10-19T15:44:05+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=8e3f1ac0d4b44750f9c83ff74ed7f29dc6182196'/>
<id>8e3f1ac0d4b44750f9c83ff74ed7f29dc6182196</id>
<content type='text'>
NpyIter_Deallocate returns 0 for failure and 1 for success,
so the check `NpyIter_Deallocate(iter) &lt; 0` is not correct.

(See relevant comments in gh-20069.)
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<pre>
NpyIter_Deallocate returns 0 for failure and 1 for success,
so the check `NpyIter_Deallocate(iter) &lt; 0` is not correct.

(See relevant comments in gh-20069.)
</pre>
</div>
</content>
</entry>
<entry>
<title>Merge pull request #18905 from seberg/ufunc-refactor-2021</title>
<updated>2021-10-19T14:48:35+00:00</updated>
<author>
<name>Matti Picus</name>
<email>matti.picus@gmail.com</email>
</author>
<published>2021-10-19T14:48:35+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=405c6eec7937721bd2e284dceaf4f49d5e6e39e8'/>
<id>405c6eec7937721bd2e284dceaf4f49d5e6e39e8</id>
<content type='text'>
MAINT: Refactor reductions to use NEP 43 style dispatching/promotion</content>
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MAINT: Refactor reductions to use NEP 43 style dispatching/promotion</pre>
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</entry>
<entry>
<title>ENH: Create an experimental export of the new DType API (#19919)</title>
<updated>2021-10-18T18:10:42+00:00</updated>
<author>
<name>Sebastian Berg</name>
<email>sebastian@sipsolutions.net</email>
</author>
<published>2021-10-18T18:10:42+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=23dfdfcfe55d5e9c34dafdc25cfef21475b309ab'/>
<id>23dfdfcfe55d5e9c34dafdc25cfef21475b309ab</id>
<content type='text'>
* ENH: Create an experimental export of the new DType API

This expposes an experimental DType and ufunc API.
It can be used by including the experimental header AND
setting the `NUMPY_EXPERIMENTAL_DTYPE_API=1` environment variable.

A user must further call:

    if (import_experimental_dtype_api(version) &lt; 0) {
        return NULL;
    }

with a strict version check that will error on any mismatch.

At this time, I _know_ that some changes will happen, but it feels like
it may be a good idea to make this public anyway, with all the problems
attached...  (e.g. as of now ufunc reductions will just not work, since
that PR is not yet merged.)

Co-authored-by: Ross Barnowski &lt;rossbar@berkeley.edu&gt;</content>
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<pre>
* ENH: Create an experimental export of the new DType API

This expposes an experimental DType and ufunc API.
It can be used by including the experimental header AND
setting the `NUMPY_EXPERIMENTAL_DTYPE_API=1` environment variable.

A user must further call:

    if (import_experimental_dtype_api(version) &lt; 0) {
        return NULL;
    }

with a strict version check that will error on any mismatch.

At this time, I _know_ that some changes will happen, but it feels like
it may be a good idea to make this public anyway, with all the problems
attached...  (e.g. as of now ufunc reductions will just not work, since
that PR is not yet merged.)

Co-authored-by: Ross Barnowski &lt;rossbar@berkeley.edu&gt;</pre>
</div>
</content>
</entry>
<entry>
<title>Add note to iterable docstring about 0d arrays.</title>
<updated>2021-10-16T05:50:43+00:00</updated>
<author>
<name>Ross Barnowski</name>
<email>rossbar@berkeley.edu</email>
</author>
<published>2021-10-16T05:49:48+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=3b57355559357460d31862299829536f065e7a8b'/>
<id>3b57355559357460d31862299829536f065e7a8b</id>
<content type='text'>
Co-authored-by: Sebastian Berg &lt;sebastian@sipsolutions.net&gt;
</content>
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<pre>
Co-authored-by: Sebastian Berg &lt;sebastian@sipsolutions.net&gt;
</pre>
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</content>
</entry>
<entry>
<title>fix minor typo in comment</title>
<updated>2021-10-13T14:44:51+00:00</updated>
<author>
<name>Kent R. Spillner</name>
<email>kspillner@acm.org</email>
</author>
<published>2021-10-13T14:44:51+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=1c2212501798ad5c011dfef0503a6f206600cf0e'/>
<id>1c2212501798ad5c011dfef0503a6f206600cf0e</id>
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<pre>
</pre>
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</entry>
<entry>
<title>Merge pull request #20105 from BvB93/matrix</title>
<updated>2021-10-12T23:08:29+00:00</updated>
<author>
<name>Charles Harris</name>
<email>charlesr.harris@gmail.com</email>
</author>
<published>2021-10-12T23:08:29+00:00</published>
<link rel='alternate' type='text/html' href='http://91.123.203.49/cgit/delta/python-packages/numpy.git/commit/?id=6c38e056d702202167e6de6ab6e2aa02cc26d850'/>
<id>6c38e056d702202167e6de6ab6e2aa02cc26d850</id>
<content type='text'>
ENH: Add annotations for `np.matrix`</content>
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<pre>
ENH: Add annotations for `np.matrix`</pre>
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