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<title>delta/python-packages/numpy.git/numpy/lib, branch eric-wieser-patch-1</title>
<subtitle>github.com: numpy/numpy.git
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<entry>
<title>DOC: revert #13058 and fix Makefile</title>
<updated>2019-03-01T07:12:40+00:00</updated>
<author>
<name>mattip</name>
<email>matti.picus@gmail.com</email>
</author>
<published>2019-03-01T07:05:12+00:00</published>
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<entry>
<title>DOC: Update interp docstring</title>
<updated>2019-02-28T17:32:02+00:00</updated>
<author>
<name>euronion</name>
<email>42553970+euronion@users.noreply.github.com</email>
</author>
<published>2019-02-28T17:32:02+00:00</published>
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<content type='text'>
Adding 'strictly' to make the conditions to be met by the `xp` argument even more clear.
Following the suggestion in https://github.com/numpy/numpy/issues/10448#issuecomment-468302058 .</content>
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Adding 'strictly' to make the conditions to be met by the `xp` argument even more clear.
Following the suggestion in https://github.com/numpy/numpy/issues/10448#issuecomment-468302058 .</pre>
</div>
</content>
</entry>
<entry>
<title>Merge pull request #10855 from madphysicist/unpack-count</title>
<updated>2019-02-25T19:48:35+00:00</updated>
<author>
<name>Sebastian Berg</name>
<email>sebastian@sipsolutions.net</email>
</author>
<published>2019-02-25T19:48:35+00:00</published>
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<content type='text'>
ENH: Adding a count parameter to np.unpackbits</content>
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ENH: Adding a count parameter to np.unpackbits</pre>
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</entry>
<entry>
<title>Merge pull request #12989 from eric-wieser/inter-inf-alternative</title>
<updated>2019-02-25T17:01:47+00:00</updated>
<author>
<name>Sebastian Berg</name>
<email>sebastian@sipsolutions.net</email>
</author>
<published>2019-02-25T17:01:47+00:00</published>
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ENH: Correct handling of infinities in np.interp (option B)</content>
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ENH: Correct handling of infinities in np.interp (option B)</pre>
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<entry>
<title>ENH: Added count parameter to unpackbits</title>
<updated>2019-02-25T15:22:27+00:00</updated>
<author>
<name>Joseph Fox-Rabinovitz</name>
<email>joseph.r.fox-rabinovitz@nasa.gov</email>
</author>
<published>2018-04-06T17:53:02+00:00</published>
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Tests are included.

Couple of minor fixes:
- Fixed packbits/unpackbits docs to reflect proper keyword names
- Added .pytest_cache to .gitignore
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<pre>
Tests are included.

Couple of minor fixes:
- Fixed packbits/unpackbits docs to reflect proper keyword names
- Added .pytest_cache to .gitignore
</pre>
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</content>
</entry>
<entry>
<title>ENH: Improve handling of infinities in np.interp</title>
<updated>2019-02-24T23:47:48+00:00</updated>
<author>
<name>Eric Wieser</name>
<email>wieser.eric@gmail.com</email>
</author>
<published>2019-02-17T03:11:38+00:00</published>
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<id>0139a2d118ddfcff5a0139a016be826dbc44854f</id>
<content type='text'>
Alternative to gh-12978, using a method that does not need a lot of special cases.
This is likely more robust in the face of overflow

Fixes gh-12951.
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Alternative to gh-12978, using a method that does not need a lot of special cases.
This is likely more robust in the face of overflow

Fixes gh-12951.
</pre>
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</entry>
<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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</entry>
<entry>
<title>Merge pull request #12965 from Carreau/ogrid-doc</title>
<updated>2019-02-17T08:04:10+00:00</updated>
<author>
<name>Matti Picus</name>
<email>matti.picus@gmail.com</email>
</author>
<published>2019-02-17T08:04:10+00:00</published>
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<id>8063fa6d1b92a755db9727b17428eb19e0ba590f</id>
<content type='text'>
DOC: Properly format Return section of ogrid Docstring,</content>
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DOC: Properly format Return section of ogrid Docstring,</pre>
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<entry>
<title>TST: Improve and refactor tests for numpy.pad</title>
<updated>2019-02-14T19:19:08+00:00</updated>
<author>
<name>Lars Grueter</name>
<email>lagru@users.noreply.github.com</email>
</author>
<published>2019-02-14T19:19:08+00:00</published>
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<content type='text'>
* TST: Move test for negative stat_length

and extend coverage to all modes and more variations of a negative
stat_length.

* TST: Merge tests for pad_width in single class

* TST: Test behavior of pad's kwargs for all modes

* TST: Move test to TestReflect

Can be grouped with already existing test class checking the behavior
for the reflect mode.

* TST: Simplify regression test for object input

* TST: Move testing pad_width as ndarray

Can be grouped in class TestPadWidth as this test checks if an ndarray
is accepted as the value to pad_width

* TST: Remove faulty tests for pad_width's type

These test were ineffective. The TypeError raised in these test was not
actually due to pad_width receiving the wrong type but due to the
missing parameter mode.

Added missing type complex to the appropriate existing test checking for
pad_widths type behavior.

* TST: Move test for pad_width of zero

* TST: Move test for simple stat_length

* TST: Simplify classes with only one test

* TST: Add naive test for non-contiguous arrays

* MAINT: Don't import pad directly

Using np.pad instead of directly importing the function seems to be more
inline with other test modules.

* STY: Make class layout consistent in module

* TST: Fix match-string for missing pad mode error

The CLI fails due to error message containing a reference to
_pad_dispatcher() being returned instead of pad(). For some reason this
test passes when run locally.
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* TST: Move test for negative stat_length

and extend coverage to all modes and more variations of a negative
stat_length.

* TST: Merge tests for pad_width in single class

* TST: Test behavior of pad's kwargs for all modes

* TST: Move test to TestReflect

Can be grouped with already existing test class checking the behavior
for the reflect mode.

* TST: Simplify regression test for object input

* TST: Move testing pad_width as ndarray

Can be grouped in class TestPadWidth as this test checks if an ndarray
is accepted as the value to pad_width

* TST: Remove faulty tests for pad_width's type

These test were ineffective. The TypeError raised in these test was not
actually due to pad_width receiving the wrong type but due to the
missing parameter mode.

Added missing type complex to the appropriate existing test checking for
pad_widths type behavior.

* TST: Move test for pad_width of zero

* TST: Move test for simple stat_length

* TST: Simplify classes with only one test

* TST: Add naive test for non-contiguous arrays

* MAINT: Don't import pad directly

Using np.pad instead of directly importing the function seems to be more
inline with other test modules.

* STY: Make class layout consistent in module

* TST: Fix match-string for missing pad mode error

The CLI fails due to error message containing a reference to
_pad_dispatcher() being returned instead of pad(). For some reason this
test passes when run locally.
</pre>
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</content>
</entry>
<entry>
<title>avoid using math.</title>
<updated>2019-02-14T03:52:18+00:00</updated>
<author>
<name>Matthias Bussonnier</name>
<email>bussonniermatthias@gmail.com</email>
</author>
<published>2019-02-14T03:52:18+00:00</published>
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