CVS commit: pkgsrc/math/py-numba

To: pkgsrc-changes%NetBSD.org@localhost
Subject: CVS commit: pkgsrc/math/py-numba
From: "Min Sik Kim" <minskim%netbsd.org@localhost>
Date: Fri, 18 May 2018 16:08:49 +0000

Module Name:    pkgsrc
Committed By:   minskim
Date:           Fri May 18 16:08:49 UTC 2018

Added Files:
        pkgsrc/math/py-numba: DESCR Makefile PLIST distinfo

Log Message:
math/py-numba: Import version 0.37.0

Numba is an Open Source NumPy-aware optimizing compiler for Python
sponsored by Continuum Analytics, Inc.  It uses the
remarkable LLVM compiler infrastructure to compile Python syntax to
machine code.

It is aware of NumPy arrays as typed memory regions and so can speed-up
code using NumPy arrays.  Other, less well-typed code will be translated
to Python C-API calls effectively removing the "interpreter" but not removing
the dynamic indirection.

Numba is also not a tracing JIT.  It *compiles* your code before it gets
run either using run-time type information or type information you provide
in the decorator.

Numba is a mechanism for producing machine code from Python syntax and typed
data structures such as those that exist in NumPy.

Packaged by Kamil Rytarowski for pkgsrc-wip and updated by me.


To generate a diff of this commit:
cvs rdiff -u -r0 -r1.1 pkgsrc/math/py-numba/DESCR \
    pkgsrc/math/py-numba/Makefile pkgsrc/math/py-numba/PLIST \
    pkgsrc/math/py-numba/distinfo

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

Added files:

Index: pkgsrc/math/py-numba/DESCR
diff -u /dev/null pkgsrc/math/py-numba/DESCR:1.1
--- /dev/null   Fri May 18 16:08:49 2018
+++ pkgsrc/math/py-numba/DESCR  Fri May 18 16:08:49 2018
@@ -0,0 +1,16 @@
+Numba is an Open Source NumPy-aware optimizing compiler for Python
+sponsored by Continuum Analytics, Inc.  It uses the
+remarkable LLVM compiler infrastructure to compile Python syntax to
+machine code.
+
+It is aware of NumPy arrays as typed memory regions and so can speed-up
+code using NumPy arrays.  Other, less well-typed code will be translated
+to Python C-API calls effectively removing the "interpreter" but not removing
+the dynamic indirection.
+
+Numba is also not a tracing JIT.  It *compiles* your code before it gets
+run either using run-time type information or type information you provide
+in the decorator.
+
+Numba is a mechanism for producing machine code from Python syntax and typed
+data structures such as those that exist in NumPy.
Index: pkgsrc/math/py-numba/Makefile
diff -u /dev/null pkgsrc/math/py-numba/Makefile:1.1
--- /dev/null   Fri May 18 16:08:49 2018
+++ pkgsrc/math/py-numba/Makefile       Fri May 18 16:08:49 2018
@@ -0,0 +1,21 @@
+# $NetBSD: Makefile,v 1.1 2018/05/18 16:08:49 minskim Exp $
+
+DISTNAME=      numba-0.37.0
+GITHUB_PROJECT=        numba
+PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
+CATEGORIES=    math
+MASTER_SITES=  ${MASTER_SITE_GITHUB:=numba/}
+
+MAINTAINER=    pkgsrc-users%NetBSD.org@localhost
+HOMEPAGE=      http://numba.pydata.org/
+COMMENT=       NumPy aware dynamic Python compiler using LLVM
+LICENSE=       2-clause-bsd
+
+DEPENDS+=      ${PYPKGPREFIX}-llvmlite>=0.22:../../devel/py-llvmlite
+
+USE_LANGUAGES= c c++
+
+.include "../../math/py-numpy/buildlink3.mk"
+.include "../../lang/python/application.mk"
+.include "../../lang/python/egg.mk"
+.include "../../mk/bsd.pkg.mk"
Index: pkgsrc/math/py-numba/PLIST
diff -u /dev/null pkgsrc/math/py-numba/PLIST:1.1
--- /dev/null   Fri May 18 16:08:49 2018
+++ pkgsrc/math/py-numba/PLIST  Fri May 18 16:08:49 2018
@@ -0,0 +1,1640 @@
+@comment $NetBSD: PLIST,v 1.1 2018/05/18 16:08:49 minskim Exp $
+bin/numba
+bin/pycc
+${PYSITELIB}/${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
+${PYSITELIB}/numba/__init__.py
+${PYSITELIB}/numba/__init__.pyc
+${PYSITELIB}/numba/__init__.pyo
+${PYSITELIB}/numba/_arraystruct.h
+${PYSITELIB}/numba/_dispatcher.c
+${PYSITELIB}/numba/_dispatcher.h
+${PYSITELIB}/numba/_dispatcher.so
+${PYSITELIB}/numba/_dynfunc.c
+${PYSITELIB}/numba/_dynfunc.so
+${PYSITELIB}/numba/_dynfuncmod.c
+${PYSITELIB}/numba/_hashtable.c
+${PYSITELIB}/numba/_hashtable.h
+${PYSITELIB}/numba/_helperlib.c
+${PYSITELIB}/numba/_helperlib.so
+${PYSITELIB}/numba/_helpermod.c
+${PYSITELIB}/numba/_lapack.c
+${PYSITELIB}/numba/_math_c99.c
+${PYSITELIB}/numba/_math_c99.h
+${PYSITELIB}/numba/_npymath_exports.c
+${PYSITELIB}/numba/_numba_common.h
+${PYSITELIB}/numba/_pymodule.h
+${PYSITELIB}/numba/_random.c
+${PYSITELIB}/numba/_typeof.c
+${PYSITELIB}/numba/_typeof.h
+${PYSITELIB}/numba/_version.py
+${PYSITELIB}/numba/_version.pyc
+${PYSITELIB}/numba/_version.pyo
+${PYSITELIB}/numba/analysis.py
+${PYSITELIB}/numba/analysis.pyc
+${PYSITELIB}/numba/analysis.pyo
+${PYSITELIB}/numba/annotations/__init__.py
+${PYSITELIB}/numba/annotations/__init__.pyc
+${PYSITELIB}/numba/annotations/__init__.pyo
+${PYSITELIB}/numba/annotations/template.html
+${PYSITELIB}/numba/annotations/type_annotations.py
+${PYSITELIB}/numba/annotations/type_annotations.pyc
+${PYSITELIB}/numba/annotations/type_annotations.pyo
+${PYSITELIB}/numba/appdirs.py
+${PYSITELIB}/numba/appdirs.pyc
+${PYSITELIB}/numba/appdirs.pyo
+${PYSITELIB}/numba/array_analysis.py
+${PYSITELIB}/numba/array_analysis.pyc
+${PYSITELIB}/numba/array_analysis.pyo
+${PYSITELIB}/numba/bytecode.py
+${PYSITELIB}/numba/bytecode.pyc
+${PYSITELIB}/numba/bytecode.pyo
+${PYSITELIB}/numba/caching.py
+${PYSITELIB}/numba/caching.pyc
+${PYSITELIB}/numba/caching.pyo
+${PYSITELIB}/numba/callwrapper.py
+${PYSITELIB}/numba/callwrapper.pyc
+${PYSITELIB}/numba/callwrapper.pyo
+${PYSITELIB}/numba/capsulethunk.h
+${PYSITELIB}/numba/ccallback.py
+${PYSITELIB}/numba/ccallback.pyc
+${PYSITELIB}/numba/ccallback.pyo
+${PYSITELIB}/numba/cffi_support.py
+${PYSITELIB}/numba/cffi_support.pyc
+${PYSITELIB}/numba/cffi_support.pyo
+${PYSITELIB}/numba/cgutils.py
+${PYSITELIB}/numba/cgutils.pyc
+${PYSITELIB}/numba/cgutils.pyo
+${PYSITELIB}/numba/compiler.py
+${PYSITELIB}/numba/compiler.pyc
+${PYSITELIB}/numba/compiler.pyo
+${PYSITELIB}/numba/config.py
+${PYSITELIB}/numba/config.pyc
+${PYSITELIB}/numba/config.pyo
+${PYSITELIB}/numba/consts.py
+${PYSITELIB}/numba/consts.pyc
+${PYSITELIB}/numba/consts.pyo
+${PYSITELIB}/numba/controlflow.py
+${PYSITELIB}/numba/controlflow.pyc
+${PYSITELIB}/numba/controlflow.pyo
+${PYSITELIB}/numba/ctypes_support.py
+${PYSITELIB}/numba/ctypes_support.pyc
+${PYSITELIB}/numba/ctypes_support.pyo
+${PYSITELIB}/numba/cuda/__init__.py
+${PYSITELIB}/numba/cuda/__init__.pyc
+${PYSITELIB}/numba/cuda/__init__.pyo
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+${PYSITELIB}/numba/cuda/api.pyc
+${PYSITELIB}/numba/cuda/api.pyo
+${PYSITELIB}/numba/cuda/codegen.py
+${PYSITELIB}/numba/cuda/codegen.pyc
+${PYSITELIB}/numba/cuda/codegen.pyo
+${PYSITELIB}/numba/cuda/compiler.py
+${PYSITELIB}/numba/cuda/compiler.pyc
+${PYSITELIB}/numba/cuda/compiler.pyo
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+${PYSITELIB}/numba/cuda/cudadecl.pyo
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+${PYSITELIB}/numba/cuda/cudadrv/__init__.pyc
+${PYSITELIB}/numba/cuda/cudadrv/__init__.pyo
+${PYSITELIB}/numba/cuda/cudadrv/_extras.so
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+${PYSITELIB}/numba/cuda/cudadrv/nvvm.pyo
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+${PYSITELIB}/numba/cuda/cudaimpl.pyo
+${PYSITELIB}/numba/cuda/cudamath.py
+${PYSITELIB}/numba/cuda/cudamath.pyc
+${PYSITELIB}/numba/cuda/cudamath.pyo
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+${PYSITELIB}/numba/utils.py
+${PYSITELIB}/numba/utils.pyc
+${PYSITELIB}/numba/utils.pyo
Index: pkgsrc/math/py-numba/distinfo
diff -u /dev/null pkgsrc/math/py-numba/distinfo:1.1
--- /dev/null   Fri May 18 16:08:49 2018
+++ pkgsrc/math/py-numba/distinfo       Fri May 18 16:08:49 2018
@@ -0,0 +1,6 @@
+$NetBSD: distinfo,v 1.1 2018/05/18 16:08:49 minskim Exp $
+
+SHA1 (numba-0.37.0.tar.gz) = 169064ae9fc9e5f2ea25f4c2f1777c8f9e06b1eb
+RMD160 (numba-0.37.0.tar.gz) = 44aebaf5986cad9a3b6c12a4d7faa0708105a68d
+SHA512 (numba-0.37.0.tar.gz) = 83a4e5a28a43ed1cd6584ccd63aac38a928af48c424ed119bc86487f0a2bfb9875c34f6fe0a03446d8c8e9179be81f831200c12ff31edc22bc4741789095f861
+Size (numba-0.37.0.tar.gz) = 1734667 bytes

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