Sun Jan 1 15:31:48 2017 UTC ()
Updated py-numpy to 1.11.3.

==========================
NumPy 1.11.3 Release Notes
==========================

Numpy 1.11.3 fixes a bug that leads to file corruption when very large files
opened in append mode are used in ``ndarray.tofile``. It supports Python
versions 2.6 - 2.7 and 3.2 - 3.5. Wheels for Linux, Windows, and OS X can be
found on PyPI.

Contributors to maintenance/1.11.3
==================================

A total of 2 people contributed to this release.  People with a "+" by their
names contributed a patch for the first time.

- Charles Harris
- Pavel Potocek +

Pull Requests Merged
====================

- `#8341 <https://github.com/numpy/numpy/pull/8341>`__: BUG: Fix ndarray.tofile large file corruption in append mode.
- `#8346 <https://github.com/numpy/numpy/pull/8346>`__: TST: Fix tests in PR #8341 for NumPy 1.11.x


(wiz)
diff -r1.36 -r1.37 pkgsrc/math/py-numpy/Makefile
diff -r1.17 -r1.18 pkgsrc/math/py-numpy/distinfo
cvs diff -r1.36 -r1.37 pkgsrc/math/py-numpy/Makefile (expand / switch to unified diff)

--- pkgsrc/math/py-numpy/Makefile 2016/12/12 14:36:22 1.36
+++ pkgsrc/math/py-numpy/Makefile 2017/01/01 15:31:47 1.37
@@ -1,16 +1,16 @@ @@ -1,16 +1,16 @@
1# $NetBSD: Makefile,v 1.36 2016/12/12 14:36:22 wiz Exp $ 1# $NetBSD: Makefile,v 1.37 2017/01/01 15:31:47 wiz Exp $
2 2
3DISTNAME= numpy-1.11.2 3DISTNAME= numpy-1.11.3
4GITHUB_PROJECT= numpy 4GITHUB_PROJECT= numpy
5PKGNAME= ${PYPKGPREFIX}-${DISTNAME} 5PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
6CATEGORIES= math python 6CATEGORIES= math python
7MASTER_SITES= ${MASTER_SITE_GITHUB:=numpy/} 7MASTER_SITES= ${MASTER_SITE_GITHUB:=numpy/}
8GITHUB_TAG= v${PKGVERSION_NOREV} 8GITHUB_TAG= v${PKGVERSION_NOREV}
9 9
10MAINTAINER= pkgsrc-users@NetBSD.org 10MAINTAINER= pkgsrc-users@NetBSD.org
11HOMEPAGE= http://www.numpy.org/ 11HOMEPAGE= http://www.numpy.org/
12COMMENT= Array processing for numbers, strings, records, and objects 12COMMENT= Array processing for numbers, strings, records, and objects
13LICENSE= modified-bsd 13LICENSE= modified-bsd
14 14
15USE_LANGUAGES= c fortran 15USE_LANGUAGES= c fortran
16MAKE_ENV+= ATLAS=None 16MAKE_ENV+= ATLAS=None
cvs diff -r1.17 -r1.18 pkgsrc/math/py-numpy/distinfo (expand / switch to unified diff)

--- pkgsrc/math/py-numpy/distinfo 2016/10/31 16:26:57 1.17
+++ pkgsrc/math/py-numpy/distinfo 2017/01/01 15:31:47 1.18
@@ -1,14 +1,14 @@ @@ -1,14 +1,14 @@
1$NetBSD: distinfo,v 1.17 2016/10/31 16:26:57 wiz Exp $ 1$NetBSD: distinfo,v 1.18 2017/01/01 15:31:47 wiz Exp $
2 2
3SHA1 (numpy-1.11.2.tar.gz) = 17ea256c912cb3227c3e75c5916b4222d726181e 3SHA1 (numpy-1.11.3.tar.gz) = 872f3dc31cfb168ba3a55c2876eebc0b7b75ccf0
4RMD160 (numpy-1.11.2.tar.gz) = 06eacee90eac54a2c005cfcc08986a721a283044 4RMD160 (numpy-1.11.3.tar.gz) = 2758d91f0ce0f6419a65153a5ffd63340a36c0d3
5SHA512 (numpy-1.11.2.tar.gz) = f45e7496a1366ffdd58f2bf2b6fffffec141230b2d1391ac9380221074a7fd7538d9730ab19708a48e1538c3e4ae746e61fa451f52fcf315414817ea4bfbf2aa 5SHA512 (numpy-1.11.3.tar.gz) = 9383383b2b02ae71e248bc1ed41f0addfa9fc5f068da933e2717631228083fb504844c64d41a61e2722a63ab1e191a4c6764b664e75f00f720fdfd23d5ad40a9
6Size (numpy-1.11.2.tar.gz) = 4386482 bytes 6Size (numpy-1.11.3.tar.gz) = 4386913 bytes
7SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945 7SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945
8SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6 8SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6
9SHA1 (patch-numpy_core_include_numpy___numpyconfig.h.in) = 03abdf987d56076516978658c1c2d8d9ebe3a9a1 9SHA1 (patch-numpy_core_include_numpy___numpyconfig.h.in) = 03abdf987d56076516978658c1c2d8d9ebe3a9a1
10SHA1 (patch-numpy_core_include_numpy_npy__endian.h) = 0dcc33ecf66d71d450ec5d87717f374693ba5691 10SHA1 (patch-numpy_core_include_numpy_npy__endian.h) = 0dcc33ecf66d71d450ec5d87717f374693ba5691
11SHA1 (patch-numpy_core_setup.py) = 1a7799e0cd8f33563074d6bf48000fbbac5e0f5a 11SHA1 (patch-numpy_core_setup.py) = 1a7799e0cd8f33563074d6bf48000fbbac5e0f5a
12SHA1 (patch-numpy_core_src_multiarray_numpyos.c) = acd97c7bae3419be4cb2e706d1989abe7e02c807 12SHA1 (patch-numpy_core_src_multiarray_numpyos.c) = acd97c7bae3419be4cb2e706d1989abe7e02c807
13SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed 13SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed
14SHA1 (patch-numpy_distutils_fcompiler_gnu.py) = 7b4b521471d0c84b06ef0fc900ba9b4613de8432 14SHA1 (patch-numpy_distutils_fcompiler_gnu.py) = 7b4b521471d0c84b06ef0fc900ba9b4613de8432