//! TDD tests for tensor min operation workaround
//! Since rtx-tensor doesn't have min(), we need to implement a workaround

use rtx_automeasure::tensor_utils;
use rtx_tensor::{Device, Tensor};

#[test]
fn test_tensor_min_workaround() {
    let device = Device::cpu();
    let data = vec![3.0, 1.0, 4.0, 1.5, 9.0, 2.6];
    let tensor = Tensor::from_slice(&data, &[6], &device).unwrap();

    // Should find minimum value
    let min_val = tensor_utils::find_min(&tensor).unwrap();
    assert_eq!(min_val, 1.0);
}

#[test]
fn test_tensor_min_negative_values() {
    let device = Device::cpu();
    let data = vec![-3.0, 1.0, -4.0, 1.5, 9.0, -2.6];
    let tensor = Tensor::from_slice(&data, &[6], &device).unwrap();

    // Should find minimum value including negatives
    let min_val = tensor_utils::find_min(&tensor).unwrap();
    assert_eq!(min_val, -4.0);
}

#[test]
fn test_tensor_min_single_value() {
    let device = Device::cpu();
    let data = vec![42.0];
    let tensor = Tensor::from_slice(&data, &[1], &device).unwrap();

    // Should return the single value
    let min_val = tensor_utils::find_min(&tensor).unwrap();
    assert_eq!(min_val, 42.0);
}