opendp 0.14.2-dev.20260401.2

A library of differential privacy algorithms for the statistical analysis of sensitive private data.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33

use super::*;

#[test]
fn test_make_bounded_int_split_sum() -> Fallible<()> {
    let trans = make_bounded_int_split_sum((1i32, 10))?;
    let sum = trans.invoke(&vec![1, 2, 3, 4])?;
    assert_eq!(sum, 10);

    let trans = make_bounded_int_split_sum((1i32, 10))?;
    let sum = trans.invoke(&vec![1, 2, 3, 4])?;
    assert_eq!(sum, 10);

    // test saturation arithmetic
    let trans = make_bounded_int_split_sum((1i8, 127))?;
    let sum = trans.invoke(&vec![-128, 127, 127])?;
    // negative sum is -128, positive sum is 127; they cancel to -1
    assert_eq!(sum, -1);

    Ok(())
}

#[test]
fn test_make_sized_bounded_int_split_sum() -> Fallible<()> {
    let trans = make_sized_bounded_int_split_sum(4, (1i32, 10))?;
    let sum = trans.invoke(&vec![1, 2, 3, 4])?;
    assert_eq!(sum, 10);

    let trans = make_sized_bounded_int_split_sum(4, (1i32, 10))?;
    let sum = trans.invoke(&vec![1, 2, 3, 4])?;
    assert_eq!(sum, 10);

    Ok(())
}