svn commit: r421379 - in head/devel: . py-numba

[Kurt Jaeger]

Author: pi
Date: Mon Sep  5 17:19:21 2016
New Revision: 421379
URL: https://svnweb.freebsd.org/changeset/ports/421379

Log:
  New port: devel/py-numba
  
  Numba gives you the power to speed up your applications with high performance
  functions written directly in Python. With a few annotations, array-oriented
  and math-heavy Python code can be just-in-time compiled to native machine
  instructions, similar in performance to C, C++ and Fortran, without having to
  switch languages or Python interpreters.
  
  WWW: http://numba.pydata.org/
  
  PR:		211347
  Submitted by:	David Kalliecharan <dave at dal.ca>

Added:
  head/devel/py-numba/
  head/devel/py-numba/Makefile   (contents, props changed)
  head/devel/py-numba/distinfo   (contents, props changed)
  head/devel/py-numba/pkg-descr   (contents, props changed)
Modified:
  head/devel/Makefile

Modified: head/devel/Makefile
==============================================================================
--- head/devel/Makefile	Mon Sep  5 17:09:18 2016	(r421378)
+++ head/devel/Makefile	Mon Sep  5 17:19:21 2016	(r421379)
@@ -4273,6 +4273,7 @@
     SUBDIR += py-noseofyeti
     SUBDIR += py-notifier
     SUBDIR += py-notify
+    SUBDIR += py-numba
     SUBDIR += py-ocempgui
     SUBDIR += py-ode
     SUBDIR += py-odfpy

Added: head/devel/py-numba/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/devel/py-numba/Makefile	Mon Sep  5 17:19:21 2016	(r421379)
@@ -0,0 +1,33 @@
+# Created by: David Kalliecharan <dave at dal.ca>
+# $FreeBSD$
+
+PORTNAME=	numba
+PORTVERSION=	0.28.1
+CATEGORIES=	devel python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	dave at dal.ca
+COMMENT=	Optimizing compiler for Python using LLVM
+
+LICENSE=	BSD
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>1.7:math/py-numpy
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}llvmlite>=0.12:devel/py-llvmlite \
+		${PYTHON_PKGNAMEPREFIX}argparse>0:devel/py-argparse
+
+# Uses Python 2.7, 3.4+
+USES=		python fortran
+USE_PYTHON=	distutils autoplist
+
+.include <bsd.port.pre.mk>
+
+# Requried for Python 2.7
+.if ${PYTHON_REL} < 3400
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}enum34>0:devel/py-enum34 \
+		${PYTHON_PKGNAMEPREFIX}singledispatch>0:devel/py-singledispatch \
+		${PYTHON_PKGNAMEPREFIX}funcsigs>0:devel/py-funcsigs
+.endif
+
+.include <bsd.port.post.mk>

Added: head/devel/py-numba/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/devel/py-numba/distinfo	Mon Sep  5 17:19:21 2016	(r421379)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1473095923
+SHA256 (numba-0.28.1.tar.gz) = d77d58a60acef5e52fb19c724084307f806e5b66d5a05499ae9f6a348c71ae24
+SIZE (numba-0.28.1.tar.gz) = 1124384

Added: head/devel/py-numba/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/devel/py-numba/pkg-descr	Mon Sep  5 17:19:21 2016	(r421379)
@@ -0,0 +1,7 @@
+Numba gives you the power to speed up your applications with high performance 
+functions written directly in Python. With a few annotations, array-oriented 
+and math-heavy Python code can be just-in-time compiled to native machine 
+instructions, similar in performance to C, C++ and Fortran, without having to 
+switch languages or Python interpreters.
+
+WWW: http://numba.pydata.org/