//! TDD tests for tensor indexing operations
//! These tests define expected behavior for tensor slicing

use rtx_tensor::{Device, Tensor};

#[test]
fn test_tensor_column_slicing() {
    // We need to slice columns from a 2D tensor
    // In PyTorch: tensor[:, i] gets column i
    // In rtx-tensor: we might need to use slice or index_select

    let device = Device::cpu();
    let tensor = Tensor::zeros(&[10, 5], &device).unwrap();

    // To get column 2 (all rows, column 2):
    // We need to slice dimension 1 from index 2 to 3
    // tensor.slice(1, 2, 3) would give us a [10, 1] tensor

    assert!(true); // Placeholder - actual test would verify slicing
}

#[test]
fn test_tensor_row_slicing() {
    // Test slicing rows from tensor
    let device = Device::cpu();
    let tensor = Tensor::zeros(&[10, 5], &device).unwrap();

    // To get row 3:
    // tensor.slice(0, 3, 4) would give us a [1, 5] tensor

    assert!(true); // Placeholder
}