Source

pypy / pypy / doc / faq.rst

The branch 'arm-backed-float' does not exist.

Frequently Asked Questions

General

What is PyPy?

PyPy is both:

  • a reimplementation of Python in Python, and
  • a framework for implementing interpreters and virtual machines for programming languages, especially dynamic languages.

PyPy tries to find new answers about ease of creation, flexibility, maintainability and speed trade-offs for language implementations. For further details see our goal and architecture document .

Is PyPy a drop in replacement for CPython?

Almost!

The mostly likely stumbling block for any given project is support for extension modules. PyPy supports a continually growing number of extension modules, but so far mostly only those found in the standard library.

The language features (including builtin types and functions) are very complete and well tested, so if your project does not use many extension modules there is a good chance that it will work with PyPy.

We list the differences we know about in cpython differences.

Do CPython Extension modules work with PyPy?

We have experimental support for CPython extension modules, so they run with minor changes. This has been a part of PyPy since the 1.4 release, but support is still in beta phase. CPython extension modules in PyPy are often much slower than in CPython due to the need to emulate refcounting. It is often faster to take out your CPython extension and replace it with a pure python version that the JIT can see.

We fully support ctypes-based extensions.

For information on which third party extensions work (or do not work) with PyPy see the compatibility wiki.

On which platforms does PyPy run?

PyPy is regularly and extensively tested on Linux machines and on Mac OS X and mostly works under Windows too (but is tested there less extensively). PyPy needs a CPython running on the target platform to bootstrap, as cross compilation is not really meant to work yet. At the moment you need CPython 2.5 - 2.7 for the translation process. PyPy's JIT requires an x86 or x86_64 CPU.

Which Python version (2.x?) does PyPy implement?

PyPy currently aims to be fully compatible with Python 2.7. That means that it contains the standard library of Python 2.7 and that it supports 2.7 features (such as set comprehensions).

Does PyPy have a GIL? Why?

Yes, PyPy has a GIL. Removing the GIL is very hard. The first problem is that our garbage collectors are not re-entrant.

How fast is PyPy?

This really depends on your code. For pure Python algorithmic code, it is very fast. For more typical Python programs we generally are 3 times the speed of Cpython 2.6 . You might be interested in our benchmarking site and our jit documentation.

Can I use PyPy's translation toolchain for other languages besides Python?

Yes. The toolsuite that translates the PyPy interpreter is quite general and can be used to create optimized versions of interpreters for any language, not just Python. Of course, these interpreters can make use of the same features that PyPy brings to Python: translation to various languages, stackless features, garbage collection, implementation of various things like arbitrarily long integers, etc.

Currently, we have preliminary versions of a JavaScript interpreter (Leonardo Santagada as his Summer of PyPy project), a Prolog interpreter (Carl Friedrich Bolz as his Bachelor thesis), and a SmallTalk interpreter (produced during a sprint). On the PyPy bitbucket page there is also a Scheme and an Io implementation; both of these are unfinished at the moment.

Development

How do I get into PyPy development? Can I come to sprints?

Certainly you can come to sprints! We always welcome newcomers and try to help them as much as possible to get started with the project. We provide tutorials and pair them with experienced PyPy developers. Newcomers should have some Python experience and read some of the PyPy documentation before coming to a sprint.

Coming to a sprint is usually the best way to get into PyPy development. If you get stuck or need advice, contact us. IRC is the most immediate way to get feedback (at least during some parts of the day; most PyPy developers are in Europe) and the mailing list is better for long discussions.

OSError: ... cannot restore segment prot after reloc... Help?

On Linux, if SELinux is enabled, you may get errors along the lines of "OSError: externmod.so: cannot restore segment prot after reloc: Permission denied." This is caused by a slight abuse of the C compiler during configuration, and can be disabled by running the following command with root privileges:

# setenforce 0

This will disable SELinux's protection and allow PyPy to configure correctly. Be sure to enable it again if you need it!

The PyPy translation tool chain

Can PyPy compile normal Python programs to C?

No, PyPy is not a Python compiler.

In Python, it is mostly impossible to prove anything about the types that a program will manipulate by doing a static analysis. It should be clear if you are familiar with Python, but if in doubt see [BRETT].

If you want a fast Python program, please use our JIT instead.

[BRETT]Brett Cannon, Localized Type Inference of Atomic Types in Python, http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.3231

What is this RPython language?

RPython is a restricted subset of the Python language. It is used for implementing dynamic language interpreters within the PyPy toolchain. The restrictions ensure that type inference (and so, ultimately, translation to other languages) of RPython programs is possible.

The property of "being RPython" always applies to a full program, not to single functions or modules (the translation toolchain does a full program analysis). The translation toolchain follows all calls recursively and discovers what belongs to the program and what does not.

RPython program restrictions mostly limit the ability to mix types in arbitrary ways. RPython does not allow the binding of two different types in the same variable. In this respect (and in some others) it feels a bit like Java. Other features not allowed in RPython are the use of special methods (__xxx__) except __init__ and __del__, and the use of reflection capabilities (e.g. __dict__).

You cannot use most existing standard library modules from RPython. The exceptions are some functions in os, math and time that have native support.

To read more about the RPython limitations read the RPython description.

Does RPython have anything to do with Zope's Restricted Python?

No. Zope's RestrictedPython aims to provide a sandboxed execution environment for CPython. PyPy's RPython is the implementation language for dynamic language interpreters. However, PyPy also provides a robust sandboxed Python Interpreter.

What's the "NOT_RPYTHON" I see in some docstrings?

If you put "NOT_RPYTHON" into the docstring of a function and that function is found while trying to translate an RPython program, the translation process stops and reports this as an error. You can therefore mark functions as "NOT_RPYTHON" to make sure that they are never analyzed.

Couldn't we simply take a Python syntax tree and turn it into Lisp?

It's not necessarily nonsense, but it's not really The PyPy Way. It's pretty hard, without some kind of type inference, to translate this Python:

a + b

into anything significantly more efficient than this Common Lisp:

(py:add a b)

And making type inference possible is what RPython is all about.

You could make #'py:add a generic function and see if a given CLOS implementation is fast enough to give a useful speed (but I think the coercion rules would probably drive you insane first). -- mwh

Do I have to rewrite my programs in RPython?

No. And you shouldn't try. PyPy always runs your code in its own interpreter, which is a full and compliant Python 2.7 interpreter. RPython is only the language in which parts of PyPy itself are written and extension modules for it. Not only is it not necessary for you to rewrite your code in RPython, it probably won't give you any speed improvements if you try.

Which backends are there for the RPython toolchain?

Currently, there are backends for C, the CLI, and the JVM. All of these can translate the entire PyPy interpreter. To learn more about backends take a look at the translation document.