diff options
| author | adam <adam@pkgsrc.org> | 2018-09-24 09:01:20 +0000 |
|---|---|---|
| committer | adam <adam@pkgsrc.org> | 2018-09-24 09:01:20 +0000 |
| commit | fc7d69415f812af8e2756f7a221137022701aef4 (patch) | |
| tree | 5a09bd2592611fe356cbaba1981d82e650b38c7d /math | |
| parent | 2cedc1eaa7f3189a6a5dec06cafe36c518f6c6b8 (diff) | |
| download | pkgsrc-fc7d69415f812af8e2756f7a221137022701aef4.tar.gz | |
py-numpy: updated to 1.15.2
NumPy 1.15.2:
This is a bugfix release for bugs and regressions reported following the 1.15.1
release.
* The matrix PendingDeprecationWarning is now suppressed in pytest 3.8.
* The new cached allocations machinery has been fixed to be thread safe.
* The boolean indexing of subclasses now works correctly.
* A small memory leak in PyArray_AdaptFlexibleDType has been fixed.
The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are
linked with OpenBLAS v0.3.0, which should fix some of the linalg problems
reported for NumPy 1.14.
Diffstat (limited to 'math')
| -rw-r--r-- | math/py-numpy/Makefile | 4 | ||||
| -rw-r--r-- | math/py-numpy/distinfo | 10 |
2 files changed, 7 insertions, 7 deletions
diff --git a/math/py-numpy/Makefile b/math/py-numpy/Makefile index 079cf02c066..473a165cc6b 100644 --- a/math/py-numpy/Makefile +++ b/math/py-numpy/Makefile @@ -1,6 +1,6 @@ -# $NetBSD: Makefile,v 1.53 2018/08/27 06:04:35 adam Exp $ +# $NetBSD: Makefile,v 1.54 2018/09/24 09:01:20 adam Exp $ -DISTNAME= numpy-1.15.1 +DISTNAME= numpy-1.15.2 PKGNAME= ${PYPKGPREFIX}-${DISTNAME} CATEGORIES= math python MASTER_SITES= ${MASTER_SITE_PYPI:=n/numpy/} diff --git a/math/py-numpy/distinfo b/math/py-numpy/distinfo index 97ad016fa65..b3cf245b7ff 100644 --- a/math/py-numpy/distinfo +++ b/math/py-numpy/distinfo @@ -1,9 +1,9 @@ -$NetBSD: distinfo,v 1.35 2018/08/27 06:04:35 adam Exp $ +$NetBSD: distinfo,v 1.36 2018/09/24 09:01:20 adam Exp $ -SHA1 (numpy-1.15.1.zip) = 2e7548d4972e5366dd8b30ca3639e243dae96af9 -RMD160 (numpy-1.15.1.zip) = 1eade7058bc7739f2994946e55390587680e3ef2 -SHA512 (numpy-1.15.1.zip) = 9f674fd5944f6a60a41f60c5cd79cc172c621fcf41fe5064f292bee94b16f28de339005d1f1535586d5d3caa6c0d3eb9bb78221d80327e4edec84936f857c59f -Size (numpy-1.15.1.zip) = 4482769 bytes +SHA1 (numpy-1.15.2.zip) = 71404df59f7a07d34274d95febc7bbc0101685bb +RMD160 (numpy-1.15.2.zip) = 22075d72e14f98cd8b25d1c2fa57d62a861741bd +SHA512 (numpy-1.15.2.zip) = 6a2c9c5e67963558749e6468d79c7dc55f13749400640dbb7dea8c87a30c9cadb04df6b3cf3f92ac7d720486ef3f3c248ab4680b954e7adeb44edf2f2a072250 +Size (numpy-1.15.2.zip) = 4484511 bytes SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945 SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed |