use super::super::special::*;
use scirs2_core::ndarray::array;
#[test]
fn test_sigmoid_basic() {
let a = array![[0.0_f64, 1.0], [-1.0, 2.0]];
let result = sigmoid(&a.view()).expect("Test: operation failed");
assert!((result[[0, 0]] - 0.5).abs() < 1e-10);
for i in 0..2 {
for j in 0..2 {
assert!(result[[i, j]] > 0.0 && result[[i, j]] < 1.0);
}
}
}
#[test]
fn test_softmax_basic() {
let a = array![[1.0_f64, 2.0], [3.0, 4.0]];
let result = softmax(&a.view(), Some(1)).expect("Test: operation failed");
for i in 0..2 {
let row_sum: f64 = (0..2).map(|j| result[[i, j]]).sum();
assert!((row_sum - 1.0).abs() < 1e-10);
}
}