Ubuntu
pypy package

pypy 4.0.1+dfsg-1 source package in Ubuntu

Changelog

pypy (4.0.1+dfsg-1) unstable; urgency=medium

  * New upstream patch release.
  * Refresh patches, drop hg-updates.
  * Update copyright.
  * Enable continuation on PPC64 and MIPS64.
  * Switch VCS-Browser to cgit, on https.

 -- Stefano Rivera <email address hidden>  Fri, 20 Nov 2015 11:21:52 -0800

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section

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File Size SHA-256 Checksum
pypy_4.0.1+dfsg-1.dsc 2.2 KiB 8536ddbf8fe0a574321778a98042b2ffe168b5d1ef22edf7ba0ba30cbd212871
pypy_4.0.1+dfsg.orig.tar.xz 11.2 MiB 54543d00e0fd3dee9601e28a7a19a94ab52778d7ff7e08d99ce698c9a1df2c8f
pypy_4.0.1+dfsg-1.debian.tar.xz 63.1 KiB f2c1af73a168ade538201b13ef464929e73922d593e5cadcfc25abc48042cf18

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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).