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
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
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 |
Available diffs
- diff from 2.6.1+dfsg-2 to 4.0.0+dfsg-1 (669.7 KiB)
No changes file available.
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).