Received: from mail.netbsd.org (mail.netbsd.org [199.233.217.200]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client CN "mail.netbsd.org", Issuer "Postmaster NetBSD.org" (verified OK)) by mollari.NetBSD.org (Postfix) with ESMTPS id 372D97A287 for ; Wed, 24 Aug 2016 23:50:14 +0000 (UTC) Received: by mail.netbsd.org (Postfix, from userid 605) id D154585E79; Wed, 24 Aug 2016 23:50:13 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by mail.netbsd.org (Postfix) with ESMTP id 60D2E85E63 for ; Wed, 24 Aug 2016 23:50:13 +0000 (UTC) X-Virus-Scanned: amavisd-new at netbsd.org Received: from mail.netbsd.org ([127.0.0.1]) by localhost (mail.netbsd.org [127.0.0.1]) (amavisd-new, port 10025) with ESMTP id pZ_P_X1HDFZ7 for ; Wed, 24 Aug 2016 23:50:12 +0000 (UTC) Received: from cvs.NetBSD.org (unknown [IPv6:2001:470:a085:999:28c:faff:fe03:5984]) by mail.netbsd.org (Postfix) with ESMTP id AADCD85E1A for ; Wed, 24 Aug 2016 23:50:12 +0000 (UTC) Received: by cvs.NetBSD.org (Postfix, from userid 500) id 9DB97FBC3; Wed, 24 Aug 2016 23:50:12 +0000 (UTC) Content-Transfer-Encoding: 7bit Content-Type: multipart/mixed; boundary="_----------=_1472082612232520" MIME-Version: 1.0 Date: Wed, 24 Aug 2016 23:50:12 +0000 From: "Mark Davies" Subject: CVS commit: pkgsrc/math/py-autograd To: pkgsrc-changes@NetBSD.org Reply-To: markd@netbsd.org X-Mailer: log_accum Message-Id: <20160824235012.9DB97FBC3@cvs.NetBSD.org> Sender: pkgsrc-changes-owner@NetBSD.org List-Id: pkgsrc-changes.NetBSD.org Precedence: bulk This is a multi-part message in MIME format. --_----------=_1472082612232520 Content-Disposition: inline Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset="US-ASCII" Module Name: pkgsrc Committed By: markd Date: Wed Aug 24 23:50:12 UTC 2016 Added Files: pkgsrc/math/py-autograd: DESCR Makefile PLIST distinfo Log Message: Add py-autograd 1.1.5 Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It uses reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments. The main intended application is gradient-based optimization. To generate a diff of this commit: cvs rdiff -u -r0 -r1.1 pkgsrc/math/py-autograd/DESCR \ pkgsrc/math/py-autograd/Makefile pkgsrc/math/py-autograd/PLIST \ pkgsrc/math/py-autograd/distinfo Please note that diffs are not public domain; they are subject to the copyright notices on the relevant files. --_----------=_1472082612232520 Content-Disposition: inline Content-Length: 5680 Content-Transfer-Encoding: binary Content-Type: text/x-diff; charset=us-ascii Added files: Index: pkgsrc/math/py-autograd/DESCR diff -u /dev/null pkgsrc/math/py-autograd/DESCR:1.1 --- /dev/null Wed Aug 24 23:50:12 2016 +++ pkgsrc/math/py-autograd/DESCR Wed Aug 24 23:50:12 2016 @@ -0,0 +1,8 @@ +Autograd can automatically differentiate native Python and Numpy +code. It can handle a large subset of Python's features, including +loops, ifs, recursion and closures, and it can even take derivatives +of derivatives of derivatives. It uses reverse-mode differentiation +(a.k.a. backpropagation), which means it can efficiently take +gradients of scalar-valued functions with respect to array-valued +arguments. The main intended application is gradient-based +optimization. Index: pkgsrc/math/py-autograd/Makefile diff -u /dev/null pkgsrc/math/py-autograd/Makefile:1.1 --- /dev/null Wed Aug 24 23:50:12 2016 +++ pkgsrc/math/py-autograd/Makefile Wed Aug 24 23:50:12 2016 @@ -0,0 +1,15 @@ +# $NetBSD: Makefile,v 1.1 2016/08/24 23:50:12 markd Exp $ + +DISTNAME= autograd-1.1.5 +PKGNAME= ${PYPKGPREFIX}-${DISTNAME} +CATEGORIES= math +MASTER_SITES= ${MASTER_SITE_PYPI:=a/autograd/} + +MAINTAINER= pkgsrc-users@NetBSD.org +HOMEPAGE= https://github.com/HIPS/autograd +COMMENT= Efficiently computes derivatives of numpy code +LICENSE= mit + +.include "../../lang/python/egg.mk" +.include "../../math/py-numpy/buildlink3.mk" +.include "../../mk/bsd.pkg.mk" Index: pkgsrc/math/py-autograd/PLIST diff -u /dev/null pkgsrc/math/py-autograd/PLIST:1.1 --- /dev/null Wed Aug 24 23:50:12 2016 +++ pkgsrc/math/py-autograd/PLIST Wed Aug 24 23:50:12 2016 @@ -0,0 +1,81 @@ +@comment $NetBSD: PLIST,v 1.1 2016/08/24 23:50:12 markd Exp $ +${PYSITELIB}/${EGG_INFODIR}/PKG-INFO +${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt +${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt +${PYSITELIB}/${EGG_INFODIR}/requires.txt +${PYSITELIB}/${EGG_INFODIR}/top_level.txt +${PYSITELIB}/autograd/__init__.py +${PYSITELIB}/autograd/__init__.pyc +${PYSITELIB}/autograd/__init__.pyo +${PYSITELIB}/autograd/container_types.py +${PYSITELIB}/autograd/container_types.pyc +${PYSITELIB}/autograd/container_types.pyo +${PYSITELIB}/autograd/convenience_wrappers.py +${PYSITELIB}/autograd/convenience_wrappers.pyc +${PYSITELIB}/autograd/convenience_wrappers.pyo +${PYSITELIB}/autograd/core.py +${PYSITELIB}/autograd/core.pyc +${PYSITELIB}/autograd/core.pyo +${PYSITELIB}/autograd/numpy/__init__.py +${PYSITELIB}/autograd/numpy/__init__.pyc +${PYSITELIB}/autograd/numpy/__init__.pyo +${PYSITELIB}/autograd/numpy/complex_array_node.py +${PYSITELIB}/autograd/numpy/complex_array_node.pyc +${PYSITELIB}/autograd/numpy/complex_array_node.pyo +${PYSITELIB}/autograd/numpy/fft.py +${PYSITELIB}/autograd/numpy/fft.pyc +${PYSITELIB}/autograd/numpy/fft.pyo +${PYSITELIB}/autograd/numpy/gpu_array_node.py +${PYSITELIB}/autograd/numpy/gpu_array_node.pyc +${PYSITELIB}/autograd/numpy/gpu_array_node.pyo +${PYSITELIB}/autograd/numpy/linalg.py +${PYSITELIB}/autograd/numpy/linalg.pyc +${PYSITELIB}/autograd/numpy/linalg.pyo +${PYSITELIB}/autograd/numpy/numpy_extra.py +${PYSITELIB}/autograd/numpy/numpy_extra.pyc +${PYSITELIB}/autograd/numpy/numpy_extra.pyo +${PYSITELIB}/autograd/numpy/numpy_grads.py +${PYSITELIB}/autograd/numpy/numpy_grads.pyc +${PYSITELIB}/autograd/numpy/numpy_grads.pyo +${PYSITELIB}/autograd/numpy/numpy_wrapper.py +${PYSITELIB}/autograd/numpy/numpy_wrapper.pyc +${PYSITELIB}/autograd/numpy/numpy_wrapper.pyo +${PYSITELIB}/autograd/numpy/random.py +${PYSITELIB}/autograd/numpy/random.pyc +${PYSITELIB}/autograd/numpy/random.pyo +${PYSITELIB}/autograd/numpy/use_gpu_numpy.py +${PYSITELIB}/autograd/numpy/use_gpu_numpy.pyc +${PYSITELIB}/autograd/numpy/use_gpu_numpy.pyo +${PYSITELIB}/autograd/scipy/__init__.py +${PYSITELIB}/autograd/scipy/__init__.pyc +${PYSITELIB}/autograd/scipy/__init__.pyo +${PYSITELIB}/autograd/scipy/linalg.py +${PYSITELIB}/autograd/scipy/linalg.pyc +${PYSITELIB}/autograd/scipy/linalg.pyo +${PYSITELIB}/autograd/scipy/misc.py +${PYSITELIB}/autograd/scipy/misc.pyc +${PYSITELIB}/autograd/scipy/misc.pyo +${PYSITELIB}/autograd/scipy/signal.py +${PYSITELIB}/autograd/scipy/signal.pyc +${PYSITELIB}/autograd/scipy/signal.pyo +${PYSITELIB}/autograd/scipy/special.py +${PYSITELIB}/autograd/scipy/special.pyc +${PYSITELIB}/autograd/scipy/special.pyo +${PYSITELIB}/autograd/scipy/stats/__init__.py +${PYSITELIB}/autograd/scipy/stats/__init__.pyc +${PYSITELIB}/autograd/scipy/stats/__init__.pyo +${PYSITELIB}/autograd/scipy/stats/dirichlet.py +${PYSITELIB}/autograd/scipy/stats/dirichlet.pyc +${PYSITELIB}/autograd/scipy/stats/dirichlet.pyo +${PYSITELIB}/autograd/scipy/stats/multivariate_normal.py +${PYSITELIB}/autograd/scipy/stats/multivariate_normal.pyc +${PYSITELIB}/autograd/scipy/stats/multivariate_normal.pyo +${PYSITELIB}/autograd/scipy/stats/norm.py +${PYSITELIB}/autograd/scipy/stats/norm.pyc +${PYSITELIB}/autograd/scipy/stats/norm.pyo +${PYSITELIB}/autograd/scipy/stats/t.py +${PYSITELIB}/autograd/scipy/stats/t.pyc +${PYSITELIB}/autograd/scipy/stats/t.pyo +${PYSITELIB}/autograd/util.py +${PYSITELIB}/autograd/util.pyc +${PYSITELIB}/autograd/util.pyo Index: pkgsrc/math/py-autograd/distinfo diff -u /dev/null pkgsrc/math/py-autograd/distinfo:1.1 --- /dev/null Wed Aug 24 23:50:12 2016 +++ pkgsrc/math/py-autograd/distinfo Wed Aug 24 23:50:12 2016 @@ -0,0 +1,6 @@ +$NetBSD: distinfo,v 1.1 2016/08/24 23:50:12 markd Exp $ + +SHA1 (autograd-1.1.5.tar.gz) = 1ed7727ac1d634b47b9ebe7244a851e76e3edd81 +RMD160 (autograd-1.1.5.tar.gz) = 27ae3c0ef6a69141c1dddaa5975640f35ad63d94 +SHA512 (autograd-1.1.5.tar.gz) = 4c41363acc2fbddad9bf587b6f6b9dbe151c0c1ef95059b192262f6d4eec2309e69d906f40bb3b39677323735af20ba7706993267e2b91607b251b09ea61aa7c +Size (autograd-1.1.5.tar.gz) = 24986 bytes --_----------=_1472082612232520--