# python-graphs

**Repository Path**: mirrors_google-research/python-graphs

## Basic Information

- **Project Name**: python-graphs
- **Description**: A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-13
- **Last Updated**: 2026-03-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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`:**

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

**Generate a program graph from a function `fn`:**

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

**Compute the cyclomatic complexity of a function `fn`:**

```python
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)
```

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This is not an officially supported Google product.