pypy 4.0.0+dfsg-1 source package in Ubuntu

Changelog

pypy (4.0.0+dfsg-1) unstable; urgency=medium

  * New upstream release. (2.6.x skips to 4.0.x to avoid confusion with
    current cPython releases).
    - Now supports JIT on 64bit PPC (both endians)
  * Refresh patches.
  * valgrind is now available on mips64el.

 -- Stefano Rivera <email address hidden>  Thu, 29 Oct 2015 11:03:32 -0700

Upload details

Uploaded by:
Stefano Rivera
Uploaded to:
Sid
Original maintainer:
Stefano Rivera
Architectures:
kfreebsd-any linux-any all
Section:
python
Urgency:
Medium Urgency

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pypy_4.0.0+dfsg-1.dsc 2.3 KiB 6d574f47e37bcf393a53f9459f16403b831bd893d6f7e508948d772c66fe9c05
pypy_4.0.0+dfsg.orig.tar.xz 11.2 MiB 577572fd2df1b33678c9ed14e9246cc82e6aafc0457c1bfb5ce52a528ee08dee
pypy_4.0.0+dfsg-1.debian.tar.xz 62.4 KiB 43deb3a1ab0088a55bfda44ad6a263dbed53432f7e06e72c2eafed90a5890520

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Binary packages built by this source

pypy: fast alternative implementation of Python - PyPy interpreter

 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7). It has several advantages and distinct features:
  * Speed: thanks to its Just-in-Time compiler (on x86), Python programs often
    run faster on PyPy.
  * Memory usage: large, memory-hungry Python programs might end up taking less
    space than they do in CPython.
  * Compatibility: PyPy is highly compatible with existing Python code.
    It supports ctypes and can run popular Python libraries like twisted and
    django.
  * Stackless: PyPy supports stackless mode on most platforms, providing
    micro-threads for massive concurrency.
 .
 This package contains the PyPy interpreter.

pypy-dbgsym: debug symbols for package pypy

 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7). It has several advantages and distinct features:
  * Speed: thanks to its Just-in-Time compiler (on x86), Python programs often
    run faster on PyPy.
  * Memory usage: large, memory-hungry Python programs might end up taking less
    space than they do in CPython.
  * Compatibility: PyPy is highly compatible with existing Python code.
    It supports ctypes and can run popular Python libraries like twisted and
    django.
  * Stackless: PyPy supports stackless mode on most platforms, providing
    micro-threads for massive concurrency.
 .
 This package contains the PyPy interpreter.

pypy-dev: header files for PyPy (an alternative Python interpreter)

 Header files for compiling cpython C extension modules for use with PyPy.
 Note that pure Python modules will probably perform better.
 .
 PyPy supports a subset of cpython's C API through its CPyExt subsystem.
 .
 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7).

pypy-doc: developer Documentation for PyPy (an alternative Python interpreter)

 The Developer documentation for PyPy. This mostly covers the internals of
 PyPy, and development of PyPy itself.
 .
 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7).

pypy-lib: standard library for PyPy (an alternative Python interpreter)

 The PyPy standard library. This is a combination of modules, copied directly
 from cpython, modified cpython modules, and modules entirely re-implemented
 (usually in pure Python, where they are C extensions in cpython).
 .
 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7).

pypy-lib-testsuite: standard library test suite for PyPy (an alternative Python interpreter)

 The complete test suite for the PyPy standard library.
 .
 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7).

pypy-tk: Tkinter module for PyPy (an alternative Python interpreter)

 A module for writing portable GUI applications with PyPy using Tk.
 Also known as Tkinter.
 .
 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7).

python-pypy.sandbox: sandboxed PyPy interpreter

 A version of PyPy that runs fully "virtualized", where an external process
 controls all input/output. This is a secure sandbox, it is safe to run any
 untrusted Python code with it. The Python code cannot see or modify any local
 file except via interaction with the external process.
 .
 PyPy is a fast, compliant alternative implementation of the Python language
 (2.7).