rosa 0.1.0

Audio feature extraction library matching librosa output
Documentation 
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mod common;

use rosa::matrix::Matrix;
use rosa::spectral::DeltaParams;

#[test]
fn test_delta_order1_matches_librosa() {
    let ref_data = common::load_audio_reference("delta.json");

    let rows = ref_data["input_rows"].as_u64().unwrap() as usize;
    let cols = ref_data["input_cols"].as_u64().unwrap() as usize;
    let input_flat: Vec<f64> = serde_json::from_value(ref_data["input"].clone()).unwrap();
    let input = Matrix::from_vec(input_flat, rows, cols);

    let expected_rows = ref_data["delta1_rows"].as_u64().unwrap() as usize;
    let expected_cols = ref_data["delta1_cols"].as_u64().unwrap() as usize;
    let expected: Vec<f64> = serde_json::from_value(ref_data["delta1"].clone()).unwrap();

    let result = rosa::spectral::delta(&input, &DeltaParams { width: 9, order: 1 });
    assert_eq!(
        result.shape(),
        (expected_rows, expected_cols),
        "delta1 shape mismatch"
    );
    common::assert_approx_eq(result.as_slice(), &expected, 1e-8, "delta1");
}

#[test]
fn test_delta_order2_matches_librosa() {
    let ref_data = common::load_audio_reference("delta.json");

    let rows = ref_data["input_rows"].as_u64().unwrap() as usize;
    let cols = ref_data["input_cols"].as_u64().unwrap() as usize;
    let input_flat: Vec<f64> = serde_json::from_value(ref_data["input"].clone()).unwrap();
    let input = Matrix::from_vec(input_flat, rows, cols);

    let expected_rows = ref_data["delta2_rows"].as_u64().unwrap() as usize;
    let expected_cols = ref_data["delta2_cols"].as_u64().unwrap() as usize;
    let expected: Vec<f64> = serde_json::from_value(ref_data["delta2"].clone()).unwrap();

    let result = rosa::spectral::delta(&input, &DeltaParams { width: 9, order: 2 });
    assert_eq!(
        result.shape(),
        (expected_rows, expected_cols),
        "delta2 shape mismatch"
    );
    common::assert_approx_eq(result.as_slice(), &expected, 1e-8, "delta2");
}