python_graphs

This package is for computing graph representations of Python programs for machine learning applications. It includes the following modules:

  • control_flow For computing control flow graphs statically from Python
    programs.
  • data_flow For computing data flow analyses of Python programs.
  • program_graph For computing graphs statically to represent arbitrary
    Python programs or functions.
  • cyclomatic_complexity For computing the cyclomatic complexity of a Python function.

Installation

To install python_graphs with pip, run: pip install python_graphs.

To install python_graphs from source, run: python setup.py develop.

Common Tasks

Generate a control flow graph from a function fn:

from python_graphs import control_flow
graph = control_flow.get_control_flow_graph(fn)

Generate a program graph from a function fn:

from python_graphs import program_graph
graph = program_graph.get_program_graph(fn)

Compute the cyclomatic complexity of a function fn:

from python_graphs import control_flow
from python_graphs import cyclomatic_complexity
graph = control_flow.get_control_flow_graph(fn)
value = cyclomatic_complexity.cyclomatic_complexity(graph)

This is not an officially supported Google product.

GitHub

https://github.com/google-research/python-graphs