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README.rst

PyPy: Python in Python Implementation

Welcome to PyPy!

PyPy is both an implementation of the Python programming language, and an extensive compiler framework for dynamic language implementations. You can build self-contained Python implementations which execute independently from CPython.

The home page is:

http://pypy.org/

The getting-started document will help guide you:

http://doc.pypy.org/en/latest/getting-started.html

It will also point you to the rest of the documentation which is generated from files in the pypy/doc directory within the source repositories. Enjoy and send us feedback!

the pypy-dev team <pypy-dev@python.org>

PyPy-Tainting

This all comes more or less from here:

http://doc.pypy.org/en/latest/getting-started-python.html

There's two ways you'll be interested in running pypy, with and without compiling. Compilation takes a while (~1 hour on my laptop) and requires valid rpython, so to start with, you'll probably just want to run without compilation.

Running without Compilation

You can run pypy in python:

cd pypy
python bin/pyinteractive.py

This will be slow, and a lot of "C modules" won't work.

Compiling PyPy without JIT

This compiles without JIT but with full optimizations:

cd pypy/goal
python ../../rpython/bin/rpython --opt=2 targetpypystandalone.py

Testing it out

Once you have the pypy prompt, you can test out the tainting code by importing __pypy__.taint (this API is implemented in pypy/modules/__pypy__/interp_taint.py)

so you can test out propagation of data-flows as follows:

from __pypy__ import taint as t

a = "A"
t.add_taint(a, 1)
b = a.lower()
t.get_taint(b) # should output [1]

print t.get_control_taint() # should also output []

if a == "A":
   print t.get_control_taint() # should also output [1]

About

Adding taint tracking to PyPy. Used in Passe prototype implementation.

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