Author: Matti Picus <[email protected]>
Branch:
Changeset: r71195:67fb13391dc6
Date: 2014-05-02 12:45 +0000
http://bitbucket.org/pypy/pypy/changeset/67fb13391dc6/
Log: fixup (arigato)
diff --git a/pypy/doc/release-2.3.0.rst b/pypy/doc/release-2.3.0.rst
--- a/pypy/doc/release-2.3.0.rst
+++ b/pypy/doc/release-2.3.0.rst
@@ -18,17 +18,18 @@
http://pypy.org/download.html
We would like to thank our donors for the continued support of the PyPy
-project. We showed quite a bit of progress on all three projects (see below)
-and we're slowly running out of funds.
-Please consider donating more so we can finish those projects! The three
-projects are:
+project, and for those who donate to our three sub-projects.
+We showed quite a bit of progress
+but we're slowly running out of funds.
+Please consider donating more, or even better convince your employer to donate,
+so we can finish those projects! The three sub-projects are:
* `Py3k`_ (supporting Python 3.x): the release PyPy3 2.2 is imminent.
* `STM`_ (software transactional memory): a preview will be released very soon,
once we fix a few bugs
-* `NumPy`_ the work done is included in the PyPy 2.2 release. More details
below.
+* `NumPy`_ which is included in the PyPy 2.3 release. More details below.
.. _`Py3k`: http://pypy.org/py3donate.html
.. _`STM`: http://pypy.org/tmdonate2.html
@@ -44,8 +45,8 @@
=============
PyPy is a very compliant Python interpreter, almost a drop-in replacement for
-CPython 2.7. It's fast (`pypy 2.2 and cpython 2.7.2`_ performance comparison;
-note that the latest cpython is not faster than cpython 2.7.2)
+CPython 2.7. It's fast (`pypy 2.3 and cpython 2.7.x`_ performance comparison;
+note that cpython's speed has not changed since 2.7.2)
due to its integrated tracing JIT compiler.
This release supports x86 machines running Linux 32/64, Mac OS X 64, Windows,
@@ -56,13 +57,13 @@
bit python is still stalling, we would welcome a volunteer
to `handle that`_.
-.. _`pypy 2.2 and cpython 2.7.2`: http://speed.pypy.org
+.. _`pypy 2.3 and cpython 2.7.x`: http://speed.pypy.org
.. _`handle that`:
http://doc.pypy.org/en/latest/windows.html#what-is-missing-for-a-full-64-bit-translation
Highlights
==========
-Bugfixes
+Bugfixes
--------
Many issues were cleaned up after being reported by users to
https://bugs.pypy.org (ignore the bad SSL certificate) or on IRC at #pypy. Note
that we consider
@@ -71,7 +72,7 @@
* The ARM port no longer crashes on unaligned memory access to floats and
doubles,
and singlefloats are supported in the JIT.
-* Generators are faster since they now skip unecessary cleanup
+* Generators are faster since they now skip unnecessary cleanup
* A first time contributor simplified JIT traces by adding integer bound
propagation in indexing and logical operations.
@@ -84,6 +85,8 @@
* Fix a rpython bug with loop-unrolling that appeared in the `HippyVM`_ PHP
port
+* Support for corner cases on objects with __int__ and __float__ methods
+
.. _`HippyVM`: http://www.hippyvm.com
New Platforms and Features
@@ -97,8 +100,6 @@
* Support for precompiled headers in the build process for MSVC
-* Support for objects with __int__ and __float__ methods
-
* Tweak support of errno in cpyext (the PyPy implemenation of the capi)
@@ -127,8 +128,12 @@
* A cffi-based ``numpy.random`` module is available as a branch in the numpy
repository, it will be merged soon after this release.
-* enhancements to the PyPy JIT were made to support virtualizing the
raw_store/raw_load memory operations used in numpy arrays. Further work remains
here in virtualizing the alloc_raw_storage when possible. This will allow
scalars to have storages but still be virtualized when possible in loops.
+* enhancements to the PyPy JIT were made to support virtualizing the
raw_store/raw_load
+ memory operations used in numpy arrays. Further work remains here in
virtualizing the
+ alloc_raw_storage when possible. This will allow scalars to have storages
but still be
+ virtualized when possible in loops.
Cheers
+
The PyPy Team
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