[74584] users/eborisch/python
eborisch at macports.org
eborisch at macports.org
Wed Dec 22 07:34:04 PST 2010
Revision: 74584
http://trac.macports.org/changeset/74584
Author: eborisch at macports.org
Date: 2010-12-22 07:33:57 -0800 (Wed, 22 Dec 2010)
Log Message:
-----------
py26-h5py, py27-h5py: Updated to 1.3.1 in sandbox.
Modified Paths:
--------------
users/eborisch/python/py26-h5py/Portfile
users/eborisch/python/py27-h5py/Portfile
Added Paths:
-----------
users/eborisch/python/py27-h5py/
Modified: users/eborisch/python/py26-h5py/Portfile
===================================================================
--- users/eborisch/python/py26-h5py/Portfile 2010-12-22 15:30:56 UTC (rev 74583)
+++ users/eborisch/python/py26-h5py/Portfile 2010-12-22 15:33:57 UTC (rev 74584)
@@ -5,28 +5,34 @@
PortGroup python26 1.0
name py26-h5py
-version 1.3.0
-revision 1
+version 1.3.1
platforms darwin
categories python
maintainers macports.org:eborisch \
openmaintainer
description Python Module for working with HDF5 files
-long_description The h5py package provides a simple, Pythonic interface to \
- HDF5. A straightforward high-level interface allows the \
- manipulation of HDF5 files, groups and datasets using \
- established Python and NumPy metaphors. \
- Additionally, the library offers a low-level interface \
- which exposes the majority of the HDF5 C API in a Pythonic,\
- object-oriented fashion.
+long_description HDF5 for Python (h5py) is a general-purpose Python \
+ interface to the Hierarchical Data Format library, \
+ version 5. HDF5 is a versatile, mature scientific \
+ software library designed for the fast, flexible \
+ storage of enormous amounts of data. \n\n\
+ From a Python programmer's perspective, HDF5 provides \
+ a robust way to store data, organized by name in a \
+ tree-like fashion. You can create datasets (arrays on \
+ disk) hundreds of gigabytes in size, and perform \
+ random-access I/O on desired sections. Datasets are \
+ organized in a filesystem-like hierarchy using \
+ containers called 'groups', and accessed using the \
+ tradional POSIX /path/to/resource syntax.
+
homepage http://code.google.com/p/h5py/
master_sites http://h5py.googlecode.com/files/
distname h5py-${version}
-checksums md5 e1ea1c1e4c5b899c44b6fe4cb1eac464 \
- sha1 9398cb3a11ea7f6b62738330206c7dce7c7c2132 \
- rmd160 49e475ca6bf2de375eb98b5c8cca78b534d1ef6f
+checksums md5 cfef84992d33910a06371dc35becb71b \
+ sha1 8cbad11934f14b770613aa33b9a02e756e2d67c0 \
+ rmd160 7c55fc57734857288adc37385ff98f4a17aa4f40
use_configure yes
Modified: users/eborisch/python/py27-h5py/Portfile
===================================================================
--- users/eborisch/python/py26-h5py/Portfile 2010-12-22 14:04:40 UTC (rev 74580)
+++ users/eborisch/python/py27-h5py/Portfile 2010-12-22 15:33:57 UTC (rev 74584)
@@ -2,31 +2,37 @@
# $Id$
PortSystem 1.0
-PortGroup python26 1.0
+PortGroup python27 1.0
-name py26-h5py
-version 1.3.0
-revision 1
+name py27-h5py
+version 1.3.1
platforms darwin
categories python
maintainers macports.org:eborisch \
openmaintainer
description Python Module for working with HDF5 files
-long_description The h5py package provides a simple, Pythonic interface to \
- HDF5. A straightforward high-level interface allows the \
- manipulation of HDF5 files, groups and datasets using \
- established Python and NumPy metaphors. \
- Additionally, the library offers a low-level interface \
- which exposes the majority of the HDF5 C API in a Pythonic,\
- object-oriented fashion.
+long_description HDF5 for Python (h5py) is a general-purpose Python \
+ interface to the Hierarchical Data Format library, \
+ version 5. HDF5 is a versatile, mature scientific \
+ software library designed for the fast, flexible \
+ storage of enormous amounts of data. \n\n\
+ From a Python programmer's perspective, HDF5 provides \
+ a robust way to store data, organized by name in a \
+ tree-like fashion. You can create datasets (arrays on \
+ disk) hundreds of gigabytes in size, and perform \
+ random-access I/O on desired sections. Datasets are \
+ organized in a filesystem-like hierarchy using \
+ containers called 'groups', and accessed using the \
+ tradional POSIX /path/to/resource syntax.
+
homepage http://code.google.com/p/h5py/
master_sites http://h5py.googlecode.com/files/
distname h5py-${version}
-checksums md5 e1ea1c1e4c5b899c44b6fe4cb1eac464 \
- sha1 9398cb3a11ea7f6b62738330206c7dce7c7c2132 \
- rmd160 49e475ca6bf2de375eb98b5c8cca78b534d1ef6f
+checksums md5 cfef84992d33910a06371dc35becb71b \
+ sha1 8cbad11934f14b770613aa33b9a02e756e2d67c0 \
+ rmd160 7c55fc57734857288adc37385ff98f4a17aa4f40
use_configure yes
@@ -36,7 +42,7 @@
configure.args --api=18 --hdf5=${prefix}
build.cmd-delete --no-user-cfg
-depends_lib-append port:py26-numpy port:hdf5-18
+depends_lib-append port:py27-numpy port:hdf5-18
post-destroot {
system "chmod -R a+r ${destroot}${prefix}"
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