Monday, April 3, 2017

PyPy 5.7.1 bugfix released

We have released a bugfix PyPy2.7-v5.7.1 and PyPy3.5-v5.7.1 beta (Linux 64bit), due to the following issues:
  • correctly handle an edge case in dict.pop (issue 2508)
  • fix a regression to correctly handle multiple inheritance in a C-API type where the second base is an app-level class with a __new__ function
  • fix a regression to fill a C-API type’s tp_getattr slot from a __getattr__ method (issue 2523)
Thanks to those who reported issues and helped test out the fixes

You can download the v5.7.1 release here:

What is PyPy?

PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7 and CPython 3.5. It’s fast (PyPy and CPython 2.7.x performance comparison) due to its integrated tracing JIT compiler.
We also welcome developers of other dynamic languages to see what RPython can do for them.
The PyPy 2.7 release supports:
  • x86 machines on most common operating systems (Linux 32/64 bits, Mac OS X 64 bits, Windows 32 bits, OpenBSD, FreeBSD)
  • newer ARM hardware (ARMv6 or ARMv7, with VFPv3) running Linux,
  • big- and little-endian variants of PPC64 running Linux,
  • s390x running Linux
Please update, and continue to help us make PyPy better.

Cheers, The PyPy team

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4 comments:

  1. AnonymousApril 4, 2017 at 3:20 PM

    any chance for a Mac OS X PyPy3 distribution?
    compilation from sources fails …

    thanks for the great work by the way !

    ReplyDelete
  2. aiguyMay 15, 2017 at 12:24 PM

    Tried looking for a pypy wishlist but couldn't find one. So hopefully somebody reads comments.

    My three biggest pypy wishes are for...

    1. faster csv file reading by replacing Python library code with compiled C code which I understand from 4 years ago is still slower than cPython so is still on the todo list.

    2. Update SQLite to latest version in pypy distribution since they have made some great speed enhancements in recent releases.

    3. Create an containerized downloadable Docker distribution for PyPy which allows for easy deployment of PyPy projects to other machines. platforms and thumbs drives. This would also allow easier setup of multiple PyPy microservices and encapsulation of multiple pypy environments on the same machine.

    ReplyDelete
  3. Armin RigoMay 15, 2017 at 5:40 PM

    @aiguy: csv is written in C already nowadays. Please report an issue with reproducible examples if you find that PyPy is still a lot slower than CPython at reading large-ish csv files.

    For SQLite, I guess you're talking about Windows. We have plans to update it at some point.

    For Docker, that's outside the scope of the PyPy team and should be done (or is done already?) by other people.

    ReplyDelete
  4. Carl Friedrich Bolz-TereickMay 15, 2017 at 7:24 PM

    There are maintained Docker files here, IIRC: https://hub.docker.com/_/pypy/

    ReplyDelete

See also PyPy's IRC channel: #pypy at freenode.net, or the pypy-dev mailing list.
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