use cuvs::cagra::{Index, IndexParams};
use cuvs::{Resources, Result};
use ndarray_rand::rand_distr::Uniform;
use ndarray_rand::RandomExt;
/// Example showing how to index and search data with CAGRA
fn cagra_example() -> Result<()> {
let res = Resources::new()?;
// Create a new random dataset to index
let n_datapoints = 65536;
let n_features = 512;
let dataset =
ndarray::Array::<f32, _>::random((n_datapoints, n_features), Uniform::new(0., 1.0));
// build the cagra index
let build_params = IndexParams::new()?;
let index = Index::build(&res, &build_params, &dataset)?;
Ok(())
}