Received: by mail.netbsd.org (Postfix, from userid 605) id E7D9084D99; Thu, 22 Feb 2018 10:50:48 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by mail.netbsd.org (Postfix) with ESMTP id 6FB1584D8F for ; Thu, 22 Feb 2018 10:50:48 +0000 (UTC) X-Virus-Scanned: amavisd-new at netbsd.org Received: from mail.netbsd.org ([IPv6:::1]) by localhost (mail.netbsd.org [IPv6:::1]) (amavisd-new, port 10025) with ESMTP id xQD5PaDXbccp for ; Thu, 22 Feb 2018 10:50:47 +0000 (UTC) Received: from cvs.NetBSD.org (ivanova.netbsd.org [199.233.217.197]) by mail.netbsd.org (Postfix) with ESMTP id AE8AE84D7B for ; Thu, 22 Feb 2018 10:50:47 +0000 (UTC) Received: by cvs.NetBSD.org (Postfix, from userid 500) id A11FEFB40; Thu, 22 Feb 2018 10:50:47 +0000 (UTC) Content-Transfer-Encoding: 7bit Content-Type: multipart/mixed; boundary="_----------=_1519296647153150" MIME-Version: 1.0 Date: Thu, 22 Feb 2018 10:50:47 +0000 From: "Adam Ciarcinski" Subject: CVS commit: pkgsrc/math/py-numpy To: pkgsrc-changes@NetBSD.org Reply-To: adam@netbsd.org X-Mailer: log_accum Message-Id: <20180222105047.A11FEFB40@cvs.NetBSD.org> Sender: pkgsrc-changes-owner@NetBSD.org List-Id: pkgsrc-changes.NetBSD.org Precedence: bulk List-Unsubscribe: This is a multi-part message in MIME format. --_----------=_1519296647153150 Content-Disposition: inline Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset="US-ASCII" Module Name: pkgsrc Committed By: adam Date: Thu Feb 22 10:50:47 UTC 2018 Modified Files: pkgsrc/math/py-numpy: Makefile distinfo Log Message: 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= 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. To generate a diff of this commit: cvs rdiff -u -r1.45 -r1.46 pkgsrc/math/py-numpy/Makefile cvs rdiff -u -r1.26 -r1.27 pkgsrc/math/py-numpy/distinfo Please note that diffs are not public domain; they are subject to the copyright notices on the relevant files. --_----------=_1519296647153150 Content-Disposition: inline Content-Length: 1804 Content-Transfer-Encoding: binary Content-Type: text/x-diff; charset=us-ascii Modified files: Index: pkgsrc/math/py-numpy/Makefile diff -u pkgsrc/math/py-numpy/Makefile:1.45 pkgsrc/math/py-numpy/Makefile:1.46 --- pkgsrc/math/py-numpy/Makefile:1.45 Wed Jan 10 08:31:24 2018 +++ pkgsrc/math/py-numpy/Makefile Thu Feb 22 10:50:47 2018 @@ -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 Index: pkgsrc/math/py-numpy/distinfo diff -u pkgsrc/math/py-numpy/distinfo:1.26 pkgsrc/math/py-numpy/distinfo:1.27 --- pkgsrc/math/py-numpy/distinfo:1.26 Wed Jan 10 08:31:24 2018 +++ pkgsrc/math/py-numpy/distinfo Thu Feb 22 10:50:47 2018 @@ -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 --_----------=_1519296647153150--