//! TDD tests for view/reshape operations
//! These tests define expected behavior for tensor reshaping

use rtx_tensor::{Device, Tensor};

#[test]
fn test_tensor_view_with_inferred_dimension() {
    // In PyTorch, -1 means "infer this dimension"
    // In Rust with usize, we need a different approach

    // Option 1: Use 0 to mean "infer"
    // Option 2: Calculate the dimension explicitly
    // Option 3: Use a special constant

    let device = Device::cpu();
    let tensor = Tensor::zeros(&[2, 3, 4], &device).unwrap();

    // If we want to reshape to [2, -1], that means [2, 12]
    // We need to calculate: total_elements / first_dim = 24 / 2 = 12
    let total_elements = 2 * 3 * 4;
    let first_dim = 2;
    let inferred_dim = total_elements / first_dim;

    // The actual view call would be:
    // tensor.view(&[2, inferred_dim])

    assert_eq!(inferred_dim, 12);
}