[pypy-commit] pypy default: reflow the para and add signature

fijal noreply at buildbot.pypy.org
Fri Feb 10 10:41:34 CET 2012


Author: Maciej Fijalkowski <fijall at gmail.com>
Branch: 
Changeset: r52346:38e0a3ed29c9
Date: 2012-02-10 11:39 +0200
http://bitbucket.org/pypy/pypy/changeset/38e0a3ed29c9/

Log:	reflow the para and add signature

diff --git a/pypy/doc/release-1.8.0.rst b/pypy/doc/release-1.8.0.rst
--- a/pypy/doc/release-1.8.0.rst
+++ b/pypy/doc/release-1.8.0.rst
@@ -3,13 +3,15 @@
 ============================
 
 We're pleased to announce the 1.8 release of PyPy. As habitual this
-release brings a lot of bugfixes, together with performance and memory improvements over
-the 1.7 release. The main highlight of the release is the introduction of
-`list strategies`_ which makes homogenous lists more efficient both in terms
-of performance and memory. This release also upgrades us from Python 2.7.1 compatibility to 2.7.2. Otherwise it's "business as usual" in the sense
-that performance improved roughly 10% on average since the previous release.
+release brings a lot of bugfixes, together with performance and memory
+improvements over the 1.7 release. The main highlight of the release
+is the introduction of `list strategies`_ which makes homogenous lists
+more efficient both in terms of performance and memory. This release
+also upgrades us from Python 2.7.1 compatibility to 2.7.2. Otherwise
+it's "business as usual" in the sense that performance improved
+roughly 10% on average since the previous release.
 
-You can download the PyPy 1.8 release here:
+you can download the PyPy 1.8 release here:
 
     http://pypy.org/download.html
 
@@ -85,6 +87,9 @@
 * It's also probably worth noting, we're considering donations for the
   Software Transactional Memory project. You can read more about `our plans`_
 
+Cheers,
+The PyPy Team
+
 .. _`brief overview`: http://doc.pypy.org/en/latest/jit-hooks.html
 .. _`numpy status page`: http://buildbot.pypy.org/numpy-status/latest.html
 .. _`numpy status update blog report`: http://morepypy.blogspot.com/2012/01/numpypy-status-update.html


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