Struct MatrixResult 

pub struct MatrixResult {
    pub sboms: Vec<SbomInfo>,
    pub diffs: Vec<Option<DiffResult>>,
    pub similarity_scores: Vec<f64>,
    pub clustering: Option<SbomClustering>,
}

N×N comparison matrix result

Fields

sboms: Vec<SbomInfo>

All SBOMs in comparison

diffs: Vec<Option<DiffResult>>

Upper-triangle matrix of diff results Access with matrix[i * sboms.len() + j] where i < j

similarity_scores: Vec<f64>

Similarity scores (0.0 = completely different, 1.0 = identical) Same indexing as diffs

clustering: Option<SbomClustering>

Optional clustering based on similarity

Implementations

impl MatrixResult

pub fn get_diff(&self, i: usize, j: usize) -> Option<&DiffResult>

Get diff between sboms[i] and sboms[j]

pub fn get_similarity(&self, i: usize, j: usize) -> f64

Get similarity between sboms[i] and sboms[j]

pub fn num_pairs(&self) -> usize

Number of pairs (n choose 2)

Trait Implementations

impl Clone for MatrixResult

fn clone(&self) -> MatrixResult

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MatrixResult

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for MatrixResult

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MatrixResult

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.