[Python-checkins] cpython: Issue #14200: Add benchmark results to text flow.
martin.v.loewis
python-checkins at python.org
Tue Mar 6 08:42:23 CET 2012
http://hg.python.org/cpython/rev/d916145b20c3
changeset: 75449:d916145b20c3
user: Martin v. Löwis <martin at v.loewis.de>
date: Tue Mar 06 08:42:17 2012 +0100
summary:
Issue #14200: Add benchmark results to text flow.
files:
Doc/whatsnew/3.3.rst | 23 ++++++++++-------------
1 files changed, 10 insertions(+), 13 deletions(-)
diff --git a/Doc/whatsnew/3.3.rst b/Doc/whatsnew/3.3.rst
--- a/Doc/whatsnew/3.3.rst
+++ b/Doc/whatsnew/3.3.rst
@@ -167,19 +167,16 @@
* non-BMP strings (``U+10000-U+10FFFF``) use 4 bytes per codepoint.
-The net effect is that for most applications, memory usage of string storage
-should decrease significantly - especially compared to former wide unicode
-builds - as, in many cases, strings will be pure ASCII even in international
-contexts (because many strings store non-human language data, such as XML
-fragments, HTTP headers, JSON-encoded data, etc.). We also hope that it
-will, for the same reasons, increase CPU cache efficiency on non-trivial
-applications.
-
-.. The memory usage of Python 3.3 is two to three times smaller than Python 3.2,
- and a little bit better than Python 2.7, on a `Django benchmark
- <http://mail.python.org/pipermail/python-dev/2011-September/113714.html>`_.
- XXX The result should be moved in the PEP and a link to the PEP should
- be added here.
+The net effect is that for most applications, memory usage of string
+storage should decrease significantly - especially compared to former
+wide unicode builds - as, in many cases, strings will be pure ASCII
+even in international contexts (because many strings store non-human
+language data, such as XML fragments, HTTP headers, JSON-encoded data,
+etc.). We also hope that it will, for the same reasons, increase CPU
+cache efficiency on non-trivial applications. The memory usage of
+Python 3.3 is two to three times smaller than Python 3.2, and a little
+bit better than Python 2.7, on a Django benchmark (see the PEP for
+details).
PEP 3151: Reworking the OS and IO exception hierarchy
--
Repository URL: http://hg.python.org/cpython
More information about the Python-checkins
mailing list