use crate::{MattenError, Tensor};
#[test]
fn constructs_and_inspects() {
let t = Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[2, 2]);
assert_eq!(t.shape(), &[2, 2]);
assert_eq!(t.len(), 4);
assert_eq!(t.ndim(), 2);
assert_eq!(t.as_slice(), &[1.0, 2.0, 3.0, 4.0]);
}
#[test]
fn scalar_constructor() {
let s = Tensor::scalar(42.0);
assert!(s.shape().is_empty());
assert_eq!(s.len(), 1);
assert_eq!(s.ndim(), 0);
assert!(s.is_scalar());
assert_eq!(s.as_slice(), &[42.0]);
}
#[test]
fn shape_predicates() {
assert!(Tensor::scalar(1.0).is_scalar());
assert!(Tensor::new(vec![1.0, 2.0], &[2]).is_vector());
assert!(Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[2, 2]).is_matrix());
let t3 = Tensor::new(vec![0.0; 8], &[2, 2, 2]);
assert!(!t3.is_scalar());
assert!(!t3.is_vector());
assert!(!t3.is_matrix());
}
#[test]
fn to_vec_returns_owned_copy() {
let t = Tensor::new(vec![1.0, 2.0, 3.0], &[3]);
assert_eq!(t.to_vec(), vec![1.0, 2.0, 3.0]);
assert_eq!(t.as_slice(), &[1.0, 2.0, 3.0]);
}
#[test]
fn clone_and_partial_eq() {
let a = Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[2, 2]);
let b = a.clone();
assert_eq!(a, b);
assert_ne!(a, Tensor::new(vec![1.0, 2.0, 3.0, 5.0], &[2, 2]));
assert_ne!(a, Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[4]));
}
#[test]
fn debug_is_shape_first() {
let t = Tensor::new(vec![1.0, 2.0], &[2]);
assert_eq!(format!("{t:?}"), "Tensor(shape=[2], data=[1.0, 2.0])");
}
#[test]
fn try_new_rejects_length_mismatch() {
let err = Tensor::try_new(vec![1.0, 2.0, 3.0], &[2, 2]).unwrap_err();
assert!(matches!(err, MattenError::Shape { .. }));
}
#[test]
#[should_panic(expected = "matten shape error")]
fn new_panics_on_mismatch() {
let _ = Tensor::new(vec![1.0], &[2, 2]);
}
#[test]
fn try_new_rejects_shape_overflow() {
let err = Tensor::try_new(vec![], &[usize::MAX, usize::MAX]).unwrap_err();
assert!(matches!(err, MattenError::Allocation { .. }));
}
#[test]
fn rejects_zero_dim() {
assert!(matches!(
Tensor::try_new(vec![], &[0]),
Err(MattenError::Shape { .. })
));
assert!(matches!(
Tensor::try_new(vec![], &[2, 0]),
Err(MattenError::Shape { .. })
));
}
#[test]
#[should_panic(expected = "zero-sized dimensions")]
fn new_panics_on_zero_dim() {
let _ = Tensor::new(vec![], &[0]);
}
#[test]
fn rejects_rank_over_limit() {
let shape = [1usize; 9]; let err = Tensor::try_new(vec![1.0], &shape).unwrap_err();
assert!(matches!(err, MattenError::Shape { .. }));
}
#[test]
fn accepts_rank_8() {
let shape = [1usize; 8];
let t = Tensor::new(vec![1.0], &shape);
assert_eq!(t.ndim(), 8);
assert_eq!(t.len(), 1);
}
#[test]
fn zeros_fills_with_zero() {
let t = Tensor::zeros(&[2, 3]);
assert_eq!(t.shape(), &[2, 3]);
assert!(t.as_slice().iter().all(|&v| v == 0.0));
}
#[test]
fn ones_fills_with_one() {
let t = Tensor::ones(&[4]);
assert_eq!(t.len(), 4);
assert!(t.as_slice().iter().all(|&v| v == 1.0));
}
#[test]
fn full_fills_with_value() {
let t = Tensor::full(&[3, 2], -5.0);
assert_eq!(t.shape(), &[3, 2]);
assert!(t.as_slice().iter().all(|&v| v == -5.0));
}
#[test]
fn from_vec_creates_1d() {
let t = Tensor::from_vec(vec![10.0, 20.0, 30.0]);
assert_eq!(t.shape(), &[3]);
assert!(t.is_vector());
assert_eq!(t.as_slice(), &[10.0, 20.0, 30.0]);
}
#[test]
fn into_vec_consumes_tensor() {
let t = Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[2, 2]);
let v = t.into_vec();
assert_eq!(v, vec![1.0, 2.0, 3.0, 4.0]);
}
#[test]
fn arange_forward() {
let t = Tensor::arange(0.0, 5.0, 1.0);
assert_eq!(t.shape(), &[5]);
assert_eq!(t.as_slice(), &[0.0, 1.0, 2.0, 3.0, 4.0]);
}
#[test]
fn arange_backward() {
let t = Tensor::arange(3.0, 0.0, -1.0);
assert_eq!(t.as_slice(), &[3.0, 2.0, 1.0]);
}
#[test]
fn arange_fractional_step() {
let t = Tensor::arange(0.0, 1.0, 0.5);
assert_eq!(t.len(), 2);
assert!((t.as_slice()[0] - 0.0).abs() < 1e-12);
assert!((t.as_slice()[1] - 0.5).abs() < 1e-12);
}
#[test]
fn try_arange_zero_step_is_err() {
assert!(matches!(
Tensor::try_arange(0.0, 5.0, 0.0),
Err(MattenError::Shape { .. })
));
}
#[test]
fn try_arange_nonfinite_step_is_err() {
assert!(matches!(
Tensor::try_arange(0.0, 5.0, f64::NAN),
Err(MattenError::Shape { .. })
));
assert!(matches!(
Tensor::try_arange(0.0, 5.0, f64::INFINITY),
Err(MattenError::Shape { .. })
));
}
#[test]
fn try_arange_nonfinite_bounds_is_err() {
assert!(matches!(
Tensor::try_arange(f64::NAN, 5.0, 1.0),
Err(MattenError::Shape { .. })
));
assert!(matches!(
Tensor::try_arange(0.0, f64::INFINITY, 1.0),
Err(MattenError::Shape { .. })
));
}
#[test]
fn try_arange_empty_range_is_err() {
assert!(matches!(
Tensor::try_arange(5.0, 3.0, 1.0),
Err(MattenError::Shape { .. })
));
}
#[test]
#[should_panic(expected = "matten shape error")]
fn arange_panics_on_zero_step() {
let _ = Tensor::arange(0.0, 5.0, 0.0);
}
#[test]
fn get_flat_in_bounds() {
let t = Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[2, 2]);
assert_eq!(t.get_flat(0), Some(1.0));
assert_eq!(t.get_flat(1), Some(2.0));
assert_eq!(t.get_flat(3), Some(4.0));
}
#[test]
fn get_flat_out_of_bounds_is_none() {
let t = Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[2, 2]);
assert_eq!(t.get_flat(4), None);
assert_eq!(t.get_flat(100), None);
}
#[test]
fn get_flat_matches_as_slice_order() {
let t = Tensor::new(vec![10.0, 20.0, 30.0], &[3]);
for (i, &v) in t.as_slice().iter().enumerate() {
assert_eq!(t.get_flat(i), Some(v));
}
}
mod limits_tests {
use crate::limits::{MAX_ELEMENTS, MAX_NDIM, MattenLimits};
use crate::{MattenError, Tensor};
#[test]
fn try_zeros_success() {
let t = Tensor::try_zeros(&[3, 4]).unwrap();
assert_eq!(t.shape(), &[3, 4]);
assert_eq!(t.as_slice(), &[0.0f64; 12]);
}
#[test]
fn try_ones_success() {
let t = Tensor::try_ones(&[2, 3]).unwrap();
assert_eq!(t.as_slice(), &[1.0f64; 6]);
}
#[test]
fn try_full_success() {
let t = Tensor::try_full(&[2, 2], 7.0).unwrap();
assert_eq!(t.as_slice(), &[7.0f64; 4]);
}
#[test]
fn try_zeros_shape_error() {
let err = Tensor::try_zeros(&[2, 0]).unwrap_err();
assert!(matches!(err, MattenError::Shape { .. }));
}
#[test]
fn try_ones_rank_too_high() {
let shape = vec![2usize; MAX_NDIM + 1];
let err = Tensor::try_ones(&shape).unwrap_err();
assert!(matches!(err, MattenError::Shape { .. }));
}
#[test]
fn try_full_element_budget_exceeded() {
let limits = MattenLimits {
max_dimensions: 8,
max_elements: 10,
max_parse_bytes: 1024,
};
let err = Tensor::try_full_with_limits(&[100], 0.0, &limits).unwrap_err();
assert!(matches!(err, MattenError::Allocation { .. }));
}
#[test]
fn mattan_limits_default_absorbs_constants() {
let lim = MattenLimits::default();
assert_eq!(lim.max_dimensions, MAX_NDIM);
assert_eq!(lim.max_elements, MAX_ELEMENTS);
}
#[test]
fn zeros_delegates_to_try_zeros() {
let t = Tensor::zeros(&[2, 3]);
assert_eq!(t.len(), 6);
}
#[test]
fn broadcast_output_budget_checked() {
let a = Tensor::try_zeros(&[1024]).unwrap();
let b = Tensor::try_zeros(&[1024]).unwrap();
let _ = &a + &b;
}
}
#[test]
#[should_panic(expected = "matten allocation error")]
fn zeros_panics_when_default_limit_exceeded() {
use crate::limits::MAX_ELEMENTS;
let _ = Tensor::zeros(&[MAX_ELEMENTS + 1]);
}
#[test]
#[should_panic(expected = "matten allocation error")]
fn ones_panics_when_default_limit_exceeded() {
use crate::limits::MAX_ELEMENTS;
let _ = Tensor::ones(&[MAX_ELEMENTS + 1]);
}
#[test]
#[should_panic(expected = "matten allocation error")]
fn full_panics_when_default_limit_exceeded() {
use crate::limits::MAX_ELEMENTS;
let _ = Tensor::full(&[MAX_ELEMENTS + 1], 1.0);
}