pymwp¶

Implementation of MWP analysis on C code in Python.

pymwp is a tool for automatically performing static analysis on programs written in C. It is inspired by "A Flow Calculus of mwp-Bounds for Complexity Analysis". It analyzes resource usage and determines if a program's variables growth rates are no more than polynomially related to their inputs sizes. Try our online demo to see it action. For more details on usage and behavior, see pymwp documentation, particularly supported C language features.

Installation¶

Install the latest release from PyPI

pip install pymwp

How to Use¶

To analyze a C file, run in terminal:

pymwp path/to_some_file.c

For all available options and help, run:

pymwp --help

Tool User Guide¶

A comprehensive tool user guide, with detailed examples, is available at: statycc.github.io/.github/pymwp

Use in Python Scripts¶

You can also use pymwp by importing it in a Python script. See modules documentation for available methods.

from pymwp import Polynomial
from pymwp.matrix import identity_matrix, show

matrix = identity_matrix(3)
matrix[0][1] = Polynomial('m')
matrix[1][0] = Polynomial('w')
matrix[2][1] = Polynomial('p')

show(matrix)

Running from source¶

If you want to use the latest stable version (possibly ahead of the latest release), use the version from source following these steps.

Clone the repository

git clone https://github.com/statycc/pymwp.git

Set up Python environment (use venv)

install required packages
```
python -m pip install -r requirements.txt
```
For development and testing, install dev dependencies instead:
```
python -m pip install -r requirements-dev.txt
```

Run the analysis

From project root run:

python -m pymwp path/to_some_file.c

for example:

python -m pymwp c_files/basics/if.c

for all available options and help, run:

python -m pymwp