delta/python-packages/numpy.git/numpy/matrixlib/tests, branch master github.com: numpy/numpy.git DEP: Deprecate ufunc.outer with matrix inputs 2020-07-16T19:40:20+00:00 Sebastian Berg sebastian@sipsolutions.net 2020-05-13T22:18:02+00:00 4e8e9284719ffc3f2add7ef4e23b33569c223689 Previously we converted matrices to arrays for the user, since `np.outer` does not make sense for matrix. This deprecates that usage (which in almost all cases will result in an error). The main reason for this deprecation is to remove all direct references of matrix from the NumPy codebase, so that it is easier to move it out of NumPy eventually. 
Previously we converted matrices to arrays for the user, since
`np.outer` does not make sense for matrix. This deprecates that
usage (which in almost all cases will result in an error).

The main reason for this deprecation is to remove all direct
references of matrix from the NumPy codebase, so that it is
easier to move it out of NumPy eventually.
Merge pull request #15379 from sethtroisi/misc_cleanups3 2020-01-23T03:28:59+00:00 Matti Picus matti.picus@gmail.com 2020-01-23T03:28:59+00:00 388e8197e15403345950edc23ae5fc7a3cb0f644 MAINT: Python2 Cleanups 
MAINT: Python2 Cleanups
 MAINT: Revise imports from collections.abc module 2020-01-22T09:04:18+00:00 Mike Taves mwtoews@gmail.com 2020-01-22T07:59:58+00:00 1bc1fd6bc2ec9c68997736cec1ce5dd4a625ea2f 






MAINT: Python2 Cleanups
2020-01-21T21:46:27+00:00

Seth Troisi
sethtroisi@google.com

2020-01-21T21:46:27+00:00

6737f241454688f6ea59a883f6c6e3fe8eff8e8b












MAINT: Remove implicit inheritance from object class (#15236)
2020-01-05T05:53:30+00:00

Jon Dufresne
jon.dufresne@gmail.com

2020-01-05T05:53:30+00:00

c31cc36a8a814ed4844a2a553454185601914a5a

Inheriting from object was necessary for Python 2 compatibility to use
new-style classes. In Python 3, this is unnecessary as there are no
old-style classes.

Dropping the object is more idiomatic Python.




Inheriting from object was necessary for Python 2 compatibility to use
new-style classes. In Python 3, this is unnecessary as there are no
old-style classes.

Dropping the object is more idiomatic Python.






MAINT: Remove unnecessary 'from __future__ import ...' statements
2020-01-03T15:48:11+00:00

Jon Dufresne
jon.dufresne@gmail.com

2019-08-27T11:36:38+00:00

ed1e9659f103260a32536b4a7615393e3b1173dc

As numpy is Python 3 only, these import statements are now unnecessary
and don't alter runtime behavior.





As numpy is Python 3 only, these import statements are now unnecessary
and don't alter runtime behavior.







MAINT: Convert property to @property
2019-02-25T02:26:37+00:00

Alex Watt
alex@alexcwatt.com

2019-02-25T01:00:49+00:00

c458774c637c508f4b1e49ebaa2f85083579fa10












MAINT: Move pickle import to numpy.compat
2019-02-21T19:49:33+00:00

Charles Harris
charlesr.harris@gmail.com

2019-02-21T19:49:33+00:00

b6dc039961768bd5f3a3d7f57e8c396f8fa02815

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.





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.







MAINT: Review F401,F841,F842 flake8 errors (unused variables and imports) (#12448)
2018-12-06T19:05:08+00:00

Roman Yurchak
rth.yurchak@pm.me

2018-12-06T19:05:08+00:00

45cef38cda80868355a920b5e94211dcf662ea07

* Review F401,F841,F842 flake8 errors (unused variables, imports)

* Review comments

* More tests in test_installed_npymath_ini

* Review comments





* Review F401,F841,F842 flake8 errors (unused variables, imports)

* Review comments

* More tests in test_installed_npymath_ini

* Review comments







MAINT, TST import pickle from numpy.core.numeric
2018-10-10T12:53:45+00:00

Pierre Glaser
pierreglaser@msn.com

2018-09-19T15:07:25+00:00

7372f8dcc6af4446e502c0daec3199dace27e863

All imports of pickle from numpy modules are now done this way:
>>> from numpy.core.numeric import pickle

Also, some loops on protocol numbers are added over pickle tests that
were not caught from #12090





All imports of pickle from numpy modules are now done this way:
>>> from numpy.core.numeric import pickle

Also, some loops on protocol numbers are added over pickle tests that
were not caught from #12090