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| author | adam <adam@pkgsrc.org> | 2018-02-22 10:50:47 +0000 |
|---|---|---|
| committer | adam <adam@pkgsrc.org> | 2018-02-22 10:50:47 +0000 |
| commit | 4fe3f4980d3366750a90e06a94999619bad2d4d1 (patch) | |
| tree | cb9637aaa5b8cf619cf51aeffedb4367cf45807f /math/py-numpy | |
| parent | 2951e89f3aa4d1c937c71948e09f08c9e6caa8d4 (diff) | |
| download | pkgsrc-4fe3f4980d3366750a90e06a94999619bad2d4d1.tar.gz | |
py-numpy: updated to 1.14.1
NumPy 1.14.1 Release Notes
This is a bugfix release for some problems reported following the 1.14.0 release. The major
problems fixed are the following.
Problems with the new array printing, particularly the printing of complex
values, Please report any additional problems that may turn up.
Problems with np.einsum due to the new optimized=True default. Some
fixes for optimization have been applied and optimize=False is now the
default.
The sort order in np.unique when axis=<some-number> will now always
be lexicographic in the subarray elements. In previous NumPy versions there
was an optimization that could result in sorting the subarrays as unsigned
byte strings.
The change in 1.14.0 that multi-field indexing of structured arrays returns a
view instead of a copy has been reverted but remains on track for NumPy 1.15.
Affected users should read the 1.14.1 Numpy User Guide section
"basics/structured arrays/accessing multiple fields" for advice on how to
manage this transition.
Diffstat (limited to 'math/py-numpy')
| -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 f15c1a006fb..5040056fd81 100644 --- a/math/py-numpy/Makefile +++ b/math/py-numpy/Makefile @@ -1,6 +1,6 @@ -# $NetBSD: Makefile,v 1.45 2018/01/10 08:31:24 adam Exp $ +# $NetBSD: Makefile,v 1.46 2018/02/22 10:50:47 adam Exp $ -DISTNAME= numpy-1.14.0 +DISTNAME= numpy-1.14.1 GITHUB_PROJECT= numpy PKGNAME= ${PYPKGPREFIX}-${DISTNAME} CATEGORIES= math python diff --git a/math/py-numpy/distinfo b/math/py-numpy/distinfo index 396827ab027..26a713493df 100644 --- a/math/py-numpy/distinfo +++ b/math/py-numpy/distinfo @@ -1,9 +1,9 @@ -$NetBSD: distinfo,v 1.26 2018/01/10 08:31:24 adam Exp $ +$NetBSD: distinfo,v 1.27 2018/02/22 10:50:47 adam Exp $ -SHA1 (numpy-1.14.0.tar.gz) = 2696bae726d13584a6fd23be8ca9bc6cc17f5a79 -RMD160 (numpy-1.14.0.tar.gz) = 9837f53c5b1e5a1ef9d7e829df9a37ce1415dfb1 -SHA512 (numpy-1.14.0.tar.gz) = 4ebb8d34fefc9043d325b5381c71c0ec437649a9116a4518f0af2d5c9a4d3254073c694aaf1ac02368b263673924fe5234341c7d88dd6032a93ea70cf6c0b8bf -Size (numpy-1.14.0.tar.gz) = 4267900 bytes +SHA1 (numpy-1.14.1.tar.gz) = cf5ee7c523ba025df780dc44bbb0280ad006cbc9 +RMD160 (numpy-1.14.1.tar.gz) = c774ee8dfdbe0281f5104b5af3d4607593bc3752 +SHA512 (numpy-1.14.1.tar.gz) = 8cf537f9d7818840ea4c81d2bdb9e6c90c75385024d0d52eb52578173bee9207b7b4a2e8f4287dee30c00c1cbb7aa52e44dbd73cc581884fb63b79bc4630195d +Size (numpy-1.14.1.tar.gz) = 4276244 bytes SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945 SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed |