matten 0.45.0

A family-car multidimensional array (tensor) library for small numerical trials / PoCs.
Documentation 
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#[cfg(feature = "dynamic")]
use crate::{MattenError, Tensor};

// ── dynamic rejection (RFC-055/056) ───────────────────────────────────────

#[cfg(feature = "dynamic")]
#[test]
fn reductions_reject_dynamic_with_unsupported() {
    use crate::dynamic::Element;
    let d = Tensor::from_elements(
        vec![
            Element::Float(1.0),
            Element::Float(2.0),
            Element::Float(3.0),
            Element::Float(4.0),
        ],
        &[2, 2],
    );
    assert!(d.is_dynamic());
    assert!(matches!(
        d.try_sum().unwrap_err(),
        MattenError::Unsupported {
            operation: "sum",
            ..
        }
    ));
    assert!(matches!(
        d.try_mean().unwrap_err(),
        MattenError::Unsupported {
            operation: "mean",
            ..
        }
    ));
    assert!(matches!(
        d.try_min().unwrap_err(),
        MattenError::Unsupported {
            operation: "min",
            ..
        }
    ));
    assert!(matches!(
        d.try_max().unwrap_err(),
        MattenError::Unsupported {
            operation: "max",
            ..
        }
    ));
    assert!(matches!(
        d.try_sum_axis(0).unwrap_err(),
        MattenError::Unsupported {
            operation: "sum_axis",
            ..
        }
    ));
    assert!(matches!(
        d.try_mean_axis(0).unwrap_err(),
        MattenError::Unsupported {
            operation: "mean_axis",
            ..
        }
    ));
    assert!(matches!(
        d.try_min_axis(0).unwrap_err(),
        MattenError::Unsupported {
            operation: "min_axis",
            ..
        }
    ));
    assert!(matches!(
        d.try_max_axis(0).unwrap_err(),
        MattenError::Unsupported {
            operation: "max_axis",
            ..
        }
    ));
    // Precedence: a dynamic tensor with an out-of-range axis still reports the
    // dynamic error first (mirrors try_var_axis / try_std_axis).
    assert!(matches!(
        d.try_sum_axis(99).unwrap_err(),
        MattenError::Unsupported {
            operation: "sum_axis",
            ..
        }
    ));
}

#[cfg(feature = "dynamic")]
#[test]
#[should_panic(expected = "dynamic")]
fn sum_panics_on_dynamic() {
    use crate::dynamic::Element;
    let d = Tensor::from_elements(vec![Element::Float(1.0), Element::Float(2.0)], &[2]);
    let _ = d.sum();
}

#[cfg(feature = "dynamic")]
#[test]
fn try_dot_rejects_dynamic_with_bespoke_message() {
    // Pins dot/matmul's bespoke dynamic-guard message (RFC-099 §5/§6): it is NOT
    // produced by the shared reject_dynamic helper, so nothing else asserts it.
    use crate::dynamic::Element;
    let d = Tensor::from_elements(vec![Element::Float(1.0), Element::Float(2.0)], &[2]);
    let n = Tensor::from_vec(vec![1.0, 2.0]);

    let err = d.try_dot(&n).unwrap_err();
    assert!(matches!(
        err,
        MattenError::Unsupported {
            operation: "dot/matmul",
            ..
        }
    ));
    assert_eq!(
        err.to_string(),
        "matten unsupported error in dot/matmul: not supported on dynamic tensors; \
         call try_numeric() on each operand first"
    );

    // Same guard, other operand dynamic.
    assert!(n.try_dot(&d).is_err());
    // try_matmul delegates to try_dot, so it shares the same guard and message.
    assert_eq!(d.try_matmul(&n).unwrap_err().to_string(), err.to_string());
}

#[cfg(feature = "dynamic")]
#[test]
#[should_panic(
    expected = "matten unsupported error in dot/matmul: not supported on dynamic tensors; call try_numeric() on each operand first"
)]
fn dot_panics_on_dynamic_with_bespoke_message() {
    use crate::dynamic::Element;
    let d = Tensor::from_elements(vec![Element::Float(1.0), Element::Float(2.0)], &[2]);
    let n = Tensor::from_vec(vec![1.0, 2.0]);
    let _ = d.dot(&n);
}

#[cfg(feature = "dynamic")]
#[test]
#[should_panic(expected = "out of range")]
fn sum_axis_panics_on_numeric_bad_axis_after_delegation() {
    // Sanity: panic form of an axis reduction still panics on a bad axis for a
    // numeric tensor, via the try_ delegation.
    let _ = Tensor::ones(&[2, 2]).max_axis(7);
}