Struct Diagnostics 

pub struct Diagnostics<T> {
    pub algorithm: Algorithm,
    pub non_zero: usize,
    pub dimensions: usize,
    pub significant_values: usize,
    pub transposed: bool,
    pub random_seed: u64,
    pub matvecs: usize,
    pub detail: Detail<T>,
}

What the computation did, for logging and for deciding whether to trust a result.

Fields

algorithm: Algorithm

non_zero: usize

Non-zeros in the input.

dimensions: usize

Dimensions requested by the caller.

significant_values: usize

Dimensions actually returned and considered significant.

transposed: bool

Whether the algorithm worked on the transpose internally.

random_seed: u64

matvecs: usize

Sparse matrix-vector products performed, counting a block product against k dense columns as k. Comparable across algorithms, so it is the honest way to price one method against another.

detail: Detail<T>

Trait Implementations

impl<T: Clone> Clone for Diagnostics<T>

fn clone(&self) -> Diagnostics<T>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug> Debug for Diagnostics<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T: PartialEq> PartialEq for Diagnostics<T>

fn eq(&self, other: &Diagnostics<T>) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl<T: PartialEq> StructuralPartialEq for Diagnostics<T>