delta/python-packages/numpy.git/tools/swig, branch v1.18.4 github.com: numpy/numpy.git Use *sys.version_info[:2] 2019-08-26T18:06:41+00:00 Hugo hugovk@users.noreply.github.com 2019-08-26T18:06:41+00:00 bd59cd437be25443d918ddb558563a1581db8738 






BUG: Fix for Python 3.10
2019-08-26T15:22:55+00:00

Hugo
hugovk@users.noreply.github.com

2019-08-26T14:49:00+00:00

e7c1f8e789d8ccea6034f791393a2122e1237886












Fix deprecated ``assertEquals()``
2019-04-23T10:46:21+00:00

Nicola Soranzo
nicola.soranzo@earlham.ac.uk

2019-04-23T10:46:18+00:00

9ea796e9add2e3a0ffdd2abbea0e552966c10e5b

See https://docs.python.org/2/library/unittest.html#deprecated-aliases





See https://docs.python.org/2/library/unittest.html#deprecated-aliases







BUG: Fix memory leak in pyfragments.swg (#11877)
2018-09-10T16:36:03+00:00

Christopher Pezley
github@pezley.net

2018-09-10T16:36:03+00:00

530ac095504b903d7f87ff635e81935c7c6ee180

* BUG: Fix memory leak in pyfragments.swg

Make sure to Py_DECREF the Py_ArrayDesc created in the definition of
SWIG_CanCastAsInteger for long and unsigned long.

Fixes #11876

* fixup! BUG: Fix memory leak in pyfragments.swg





* BUG: Fix memory leak in pyfragments.swg

Make sure to Py_DECREF the Py_ArrayDesc created in the definition of
SWIG_CanCastAsInteger for long and unsigned long.

Fixes #11876

* fixup! BUG: Fix memory leak in pyfragments.swg







MAINT: Misc small fixes. (#10722)
2018-03-11T02:44:45+00:00

Charles Harris
charlesr.harris@gmail.com

2018-03-11T02:44:45+00:00

055ce3e90b50b5f9ef8cf1b8641c42e391f10735

* MAINT: Replace print statements for Python3.

Updates tools/swig/test/testSuperTensor.py.

* MAINT: Fix deprecated escaped characters for python 3.6+.

Update numpy/linalg/lapack_lite/clapack_scrub.py.





* MAINT: Replace print statements for Python3.

Updates tools/swig/test/testSuperTensor.py.

* MAINT: Fix deprecated escaped characters for python 3.6+.

Update numpy/linalg/lapack_lite/clapack_scrub.py.







White spaces
2018-02-08T22:59:59+00:00

Mathieu Lamarre
mlamarre@ea.com

2018-02-08T22:59:59+00:00

50329041147190643a815ed0006920400048d0c5












Swig tool: Clear CARRAY flag when buffer is not C_CONTIGUOUS
2018-02-08T19:10:58+00:00

Mathieu Lamarre
mlamarre@ea.com

2018-02-08T19:10:58+00:00

a119f03a846e76dcc9aff64ea760b9f128110ea6

Leave the flag if there's only one non unit dim





Leave the flag if there's only one non unit dim







Swig tool: Clear CARRAY flag when setting FARRAY
2018-02-08T16:00:21+00:00

Mathieu Lamarre
mlamarre@ea.com

2018-02-08T16:00:06+00:00

6c4a77bf87b8a6fcadd7a128f73b8f2954642bec

Otherwise the returned array has both flags, which creates all sorts of confusing runtime behaviors.
C_CONTIGUOUS : True
F_CONTIGUOUS : True
Doesn't cause a crash, but some functions like copy() works in F_CONTIGUOUS others like element wise operators assume C_CONTIGUOUS, obviously this becomes a nightmare to debug.





Otherwise the returned array has both flags, which creates all sorts of confusing runtime behaviors.
C_CONTIGUOUS : True
F_CONTIGUOUS : True
Doesn't cause a crash, but some functions like copy() works in F_CONTIGUOUS others like element wise operators assume C_CONTIGUOUS, obviously this becomes a nightmare to debug.







Added types for int and uint with an explicit size.
2018-01-12T17:48:56+00:00

Mark Harfouche
mark.harfouche@gmail.com

2018-01-12T17:48:56+00:00

5dc1f717844723dd2524d318ae7a3ff9da7fe3e7












Avoid NPY_ARRAY_F_CONTIGUOUS for numpy < 1.7
2016-06-18T11:50:56+00:00

Jan David Mol
mol@astron.nl

2016-06-18T11:50:56+00:00

de97bb2ccaa4293632fdd28f6370d63a55d5d538

numpy API < 1.7 does not support NPY_ARRAY_F_CONTIGUOUS.or PyArray_IS_F_CONTIGUOUS. Supporting old APIs is useful as users tend to ship modern numpy.i files to compile against possibly older numpy installations.




numpy API < 1.7 does not support NPY_ARRAY_F_CONTIGUOUS.or PyArray_IS_F_CONTIGUOUS. Supporting old APIs is useful as users tend to ship modern numpy.i files to compile against possibly older numpy installations.