diskann-quantization 0.51.0

DiskANN is a fast approximate nearest neighbor search library for high dimensional data
Documentation 
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/*
 * Copyright (c) Microsoft Corporation.
 * Licensed under the MIT license.
 */

use diskann_quantization::multi_vector::{Mat, MatMut, Standard};

// Test that `rows` on MatMut correctly captures an immutable borrow,
// preventing mutation of the MatMut while the iterator is in scope.
fn main() {
    let mut mat: Mat<Standard<f32>> = Mat::new(Standard::new(4, 3).unwrap(), 0.0f32).unwrap();
    let mut view: MatMut<'_, Standard<f32>> = mat.as_view_mut();
    let iter = view.rows();
    // This should fail: we cannot mutably borrow `view` while `iter` exists
    let _ = view.get_row_mut(0);
    for row in iter {
        assert_eq!(row[0], 0.0);
    }
}