# flopsearch
Python package providing an implementation of the FLOP causal discovery algorithm for linear additive noise models.
## Installation
flopsearch can be installed via pip:
```bash
pip install flopsearch
```
## Citing FLOP
If you use FLOP in your scientific work, please cite this paper:
```bibtex
@article{cifly2025,
author = {Marcel Wien{"{o}}bst and Leonard Henckel and Sebastian Weichwald},
title = {{Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning}},
journal = {{arXiv preprint arXiv:2510.04970}},
year = {2025}
}
```
## Example
A simple example run of the FLOP algorithm provided by flopsearch.
``` py
import flopsearch
import numpy as np
from scipy import linalg
p = 10
W = np.diag(np.ones(p - 1), 1)
X = np.random.randn(10000, p).dot(linalg.inv(np.eye(p) - W))
X_std = (X - np.mean(X, axis=0)) / np.std(X, axis=0)
flopsearch.flop(X_std, 2.0, restarts=20)
```
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