FreeBSD Bugzilla – Attachment 172947 Details for
Bug 211347
[NEW PORT] devel/py-numba: LLVM optimizing compiler for python and is numpy aware
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py-numba shar archive
py-numba.shar (text/plain), 1.82 KB, created by
David Kalliecharan
on 2016-07-24 20:11:25 UTC
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Description:
py-numba shar archive
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Creator:
David Kalliecharan
Created:
2016-07-24 20:11:25 UTC
Size:
1.82 KB
patch
obsolete
># This is a shell archive. Save it in a file, remove anything before ># this line, and then unpack it by entering "sh file". Note, it may ># create directories; files and directories will be owned by you and ># have default permissions. ># ># This archive contains: ># ># py-numba ># py-numba/Makefile ># py-numba/distinfo ># py-numba/pkg-descr ># >echo c - py-numba >mkdir -p py-numba > /dev/null 2>&1 >echo x - py-numba/Makefile >sed 's/^X//' >py-numba/Makefile << '7cec429fbe32ef0fd086b0c2eeb5d417' >X# $FreeBSD: $ >X >XPORTNAME= numba >XPORTVERSION= 0.27.0 >XCATEGORIES= devel python >XMASTER_SITES= CHEESESHOP >XPKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} >X >XMAINTAINER= dave@dal.ca >XCOMMENT= Numba is an optimizing compiler for Python, using LLVM >X >XLICENSE= BSD >X >XUSES= fortran python >XUSE_PYTHON= distutils autoplist >X >XBUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}llvmlite>0:${PORTSDIR}/devel/py-llvmlite \ >X ${PYTHON_PKGNAMEPREFIX}numpy>0:${PORTSDIR}/math/py-numpy \ >X ${PYTHON_PKGNAMEPREFIX}funcsigs>0:${PORTSDIR}/devel/py-funcsigs >X >X.include <bsd.port.mk> >7cec429fbe32ef0fd086b0c2eeb5d417 >echo x - py-numba/distinfo >sed 's/^X//' >py-numba/distinfo << 'f797cd4ab57f8ee15d55230f0ebf4cd1' >XSHA256 (numba-0.27.0.tar.gz) = 5fc8069cdc839b8b44ac6c54260902f60cbd77bd027b20999970a81cce7008ba >XSIZE (numba-0.27.0.tar.gz) = 1094160 >f797cd4ab57f8ee15d55230f0ebf4cd1 >echo x - py-numba/pkg-descr >sed 's/^X//' >py-numba/pkg-descr << '437ad8edf45d6b8b7231626ee7f66711' >XNumba 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. >X >XWWW: http://numba.pydata.org/ >437ad8edf45d6b8b7231626ee7f66711 >exit >
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