Sweet. ^_^ I see the permissions bits look better now too. I miss os.stat().st_rdev though - was it removed for a reason?
On Thu, Aug 18, 2011 at 10:30 AM, Maciej Fijalkowski <fij...@gmail.com>wrote: > ======================== > PyPy 1.6 - kickass panda > ======================== > > We're pleased to announce the 1.6 release of PyPy. This release brings a > lot > of bugfixes and performance improvements over 1.5, and improves support for > Windows 32bit and OS X 64bit. This version fully implements Python 2.7.1 > and > has beta level support for loading CPython C extensions. You can download > it > here: > > http://pypy.org/download.html > > What is PyPy? > ============= > > PyPy is a very compliant Python interpreter, almost a drop-in replacement > for > CPython 2.7.1. It's fast (`pypy 1.5 and cpython 2.6.2`_ performance > comparison) > due to its integrated tracing JIT compiler. > > This release supports x86 machines running Linux 32/64 or Mac OS X. > Windows 32 > is beta (it roughly works but a lot of small issues have not been fixed so > far). Windows 64 is not yet supported. > > The main topics of this release are speed and stability: on average on > our benchmark suite, PyPy 1.6 is between **20% and 30%** faster than PyPy > 1.5, > which was already much faster than CPython on our set of benchmarks. > > The speed improvements have been made possible by optimizing many of the > layers which compose PyPy. In particular, we improved: the Garbage > Collector, > the JIT warmup time, the optimizations performed by the JIT, the quality of > the generated machine code and the implementation of our Python > interpreter. > > .. _`pypy 1.5 and cpython 2.6.2`: http://speed.pypy.org > > > Highlights > ========== > > * Numerous performance improvements, overall giving considerable speedups: > > - better GC behavior when dealing with very large objects and arrays > > - **fast ctypes:** now calls to ctypes functions are seen and optimized > by the JIT, and they are up to 60 times faster than PyPy 1.5 and 10 > times > faster than CPython > > - improved generators(1): simple generators now are inlined into the > caller > loop, making performance up to 3.5 times faster than PyPy 1.5. > > - improved generators(2): thanks to other optimizations, even generators > that are not inlined are between 10% and 20% faster than PyPy 1.5. > > - faster warmup time for the JIT > > - JIT support for single floats (e.g., for ``array('f')``) > > - optimized dictionaries: the internal representation of dictionaries is > now > dynamically selected depending on the type of stored objects, resulting > in > faster code and smaller memory footprint. For example, dictionaries > whose > keys are all strings, or all integers. Other dictionaries are also > smaller > due to bugfixes. > > * JitViewer: this is the first official release which includes the > JitViewer, > a web-based tool which helps you to see which parts of your Python code > have > been compiled by the JIT, down until the assembler. The `jitviewer`_ 0.1 > has > already been release and works well with PyPy 1.6. > > * The CPython extension module API has been improved and now supports many > more extensions. For information on which one are supported, please refer > to > our `compatibility wiki`_. > > * Multibyte encoding support: this was of of the last areas in which we > were > still behind CPython, but now we fully support them. > > * Preliminary support for NumPy: this release includes a preview of a very > fast NumPy module integrated with the PyPy JIT. Unfortunately, this does > not mean that you can expect to take an existing NumPy program and run it > on > PyPy, because the module is still unfinished and supports only some of the > numpy API. However, barring some details, what works should be > blazingly fast :-) > > * Bugfixes: since the 1.5 release we fixed 53 bugs in our `bug tracker`_, > not > counting the numerous bugs that were found and reported through other > channels than the bug tracker. > > Cheers, > > Hakan Ardo, Carl Friedrich Bolz, Laura Creighton, Antonio Cuni, > Maciej Fijalkowski, Amaury Forgeot d'Arc, Alex Gaynor, > Armin Rigo and the PyPy team > > .. _`jitviewer`: > http://morepypy.blogspot.com/2011/08/visualization-of-jitted-code.html > .. _`bug tracker`: https://bugs.pypy.org > .. _`compatibility wiki`: > https://bitbucket.org/pypy/compatibility/wiki/Home > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > http://mail.python.org/mailman/listinfo/pypy-dev >
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