use crate::{DataFormat, 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 try_from_rows_success() {
let t = Tensor::try_from_rows(vec![vec![1.0, 2.0], vec![3.0, 4.0]]).unwrap();
assert_eq!(t.shape(), &[2, 2]);
assert_eq!(t.as_slice(), &[1.0, 2.0, 3.0, 4.0]);
}
#[test]
fn try_from_rows_rejects_ragged() {
let err = Tensor::try_from_rows(vec![vec![1.0, 2.0], vec![3.0]]).unwrap_err();
assert!(matches!(err, MattenError::Shape { .. }));
assert!(err.to_string().contains("ragged"));
}
#[test]
fn try_from_rows_rejects_empty() {
let err = Tensor::try_from_rows(vec![]).unwrap_err();
assert!(matches!(err, MattenError::Shape { .. }));
}
#[test]
fn from_vec_vec_panics_on_ragged() {
let result = std::panic::catch_unwind(|| {
let _ = Tensor::from(vec![vec![1.0, 2.0], vec![3.0]]);
});
assert!(result.is_err());
}
#[test]
fn from_vec_f64_trait() {
let t: Tensor = vec![1.0_f64, 2.0, 3.0].into();
assert_eq!(t.shape(), &[3]);
}
#[test]
fn from_tensor_for_vec_f64() {
let t = Tensor::new(vec![5.0, 6.0], &[2]);
let v: Vec<f64> = t.into();
assert_eq!(v, vec![5.0, 6.0]);
}
#[test]
fn from_ref_tensor_for_vec_f64() {
let t = Tensor::new(vec![5.0, 6.0], &[2]);
let v: Vec<f64> = Vec::from(&t);
assert_eq!(v, vec![5.0, 6.0]);
assert_eq!(t.len(), 2); }
#[test]
fn try_from_tensor_for_nested_vec() {
let t = Tensor::new(vec![1.0, 2.0, 3.0, 4.0], &[2, 2]);
let rows: Vec<Vec<f64>> = t.try_into().unwrap();
assert_eq!(rows, vec![vec![1.0, 2.0], vec![3.0, 4.0]]);
}
#[test]
fn try_from_tensor_non_2d_is_err() {
let t = Tensor::new(vec![1.0, 2.0, 3.0], &[3]);
let result: Result<Vec<Vec<f64>>, _> = t.try_into();
assert!(matches!(result, Err(MattenError::Shape { .. })));
}
#[test]
fn error_display_and_matching() {
let e = MattenError::Parse {
format: DataFormat::Csv,
message: "row 3, column 2".into(),
};
assert!(matches!(
e,
MattenError::Parse {
format: DataFormat::Csv,
..
}
));
assert_eq!(e.to_string(), "matten csv parse error: row 3, column 2");
}
#[test]
fn data_format_is_copy_eq_display() {
assert_eq!(DataFormat::Json, DataFormat::Json);
assert_ne!(DataFormat::Json, DataFormat::Csv);
assert_eq!(DataFormat::Json.to_string(), "json");
}
#[test]
fn strides_are_row_major() {
use crate::shape::strides_for_shape;
assert_eq!(strides_for_shape(&[2, 3, 4]), vec![12, 4, 1]);
assert_eq!(strides_for_shape(&[5]), vec![1]);
assert_eq!(strides_for_shape(&[]), Vec::<usize>::new());
}
#[test]
fn coord_out_of_bounds_is_none() {
use crate::shape::coord_to_flat;
assert_eq!(coord_to_flat(&[2, 0], &[2, 3]), None);
assert_eq!(coord_to_flat(&[0], &[2, 3]), None); }
#[test]
fn index_round_trip() {
use crate::shape::{coord_to_flat, flat_to_coord};
let shapes: &[&[usize]] = &[&[], &[1], &[5], &[2, 3], &[3, 1, 4], &[2, 2, 2, 2]];
for &shp in shapes {
let len: usize = shp.iter().product();
for flat in 0..len {
let coord = flat_to_coord(flat, shp);
assert_eq!(coord.len(), shp.len());
assert_eq!(
coord_to_flat(&coord, shp),
Some(flat),
"shape {shp:?} flat {flat}"
);
}
}
}