diff options
| author | Mikhail Teterin <mi@FreeBSD.org> | 2018-08-13 18:45:25 +0000 |
|---|---|---|
| committer | Mikhail Teterin <mi@FreeBSD.org> | 2018-08-13 18:45:25 +0000 |
| commit | 0dbb8a9c215f5b60500502dd236e9b23043e2de6 (patch) | |
| tree | 9f527cb242dee850286cb21a1d39ff9f2bbe5c3c /devel/dispy | |
| parent | 28882acb2e06cdc469316b20202859ed0e3f9858 (diff) | |
| download | ports-0dbb8a9c215f5b60500502dd236e9b23043e2de6.tar.gz ports-0dbb8a9c215f5b60500502dd236e9b23043e2de6.zip | |
Add port of Distributed Python (dispy) and the pycos, which it requires
Notes
Notes:
svn path=/head/; revision=477104
Diffstat (limited to 'devel/dispy')
| -rw-r--r-- | devel/dispy/Makefile | 20 | ||||
| -rw-r--r-- | devel/dispy/distinfo | 3 | ||||
| -rw-r--r-- | devel/dispy/pkg-descr | 13 |
3 files changed, 36 insertions, 0 deletions
diff --git a/devel/dispy/Makefile b/devel/dispy/Makefile new file mode 100644 index 000000000000..ecb1c2bedab0 --- /dev/null +++ b/devel/dispy/Makefile @@ -0,0 +1,20 @@ +# Created by: Mikhail Teterin +# $FreeBSD$ + +PORTNAME= dispy +PORTVERSION= 4.9.1 +CATEGORIES= devel net +MASTER_SITES= SF +MASTER_SITE_SUBDIR=${PORTNAME} + +MAINTAINER= mi@aldan.algebra.com +COMMENT= Distributed and Parallel Computing with/for Python + +LICENSE= APACHE20 +LICENSE_FILE= ${WRKSRC}/LICENSE.txt + +USES= python +USE_PYTHON= autoplist concurrent distutils +NO_ARCH= yes + +.include <bsd.port.mk> diff --git a/devel/dispy/distinfo b/devel/dispy/distinfo new file mode 100644 index 000000000000..5ddf67f4a724 --- /dev/null +++ b/devel/dispy/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1533922025 +SHA256 (dispy-4.9.1.tar.gz) = c52ee9cfff94803b11a2ac9bad7e73783b04abf6ffe839e09add6e71e281698e +SIZE (dispy-4.9.1.tar.gz) = 282489 diff --git a/devel/dispy/pkg-descr b/devel/dispy/pkg-descr new file mode 100644 index 000000000000..ea4e52e5db29 --- /dev/null +++ b/devel/dispy/pkg-descr @@ -0,0 +1,13 @@ +dispy is a comprehensive, yet easy to use framework for creating +and using compute clusters to execute computations in parallel +across multiple processors in a single machine (SMP), among many +machines in a cluster, grid or cloud. dispy is well suited for data +parallel (SIMD) paradigm where a computation (Python function or +standalone program) is evaluated with different (large) datasets +independently with no communication among computation tasks (except +for computation tasks sending Provisional/Intermediate Results or +Transferring Files to the client). If communication/cooperation +among tasks is needed, Distributed Communicating Processes module +of pycos framework could be used. + +WWW: http://dispy.sourceforge.net/ |