Struct SizeClassification 

pub struct SizeClassification {
    pub observed_bytes: u64,
    pub duplicated_bytes: u64,
    pub retained_bytes: Option<u64>,
    pub shared_dependency_bytes: Option<u64>,
    pub duplicated_data_bytes: Option<u64>,
    pub upper_bound_savings_bytes: Option<u64>,
    pub estimated_refactor_savings_bytes: Option<EstimatedRefactorSavingsBytes>,
    pub verified_savings_bytes: Option<VerifiedSavingsBytes>,
    pub clone_confidence: EvidenceConfidence,
    pub savings_confidence: EvidenceConfidence,
    pub assumptions: Vec<String>,
}

Size categories kept separate in artifact reports.

A None value means the current parser evidence cannot establish the category. In particular, retained and shared-dependency sizes require a resolved call graph, which not every format backend can provide.

Fields

observed_bytes: u64

Complete byte length observed directly from the input.

duplicated_bytes: u64

Excess bytes in exact duplicate code groups.

retained_bytes: Option<u64>

Bytes retained by call-graph reachability, when calculated.

shared_dependency_bytes: Option<u64>

Bytes shared by several dependency closures, when calculated.

duplicated_data_bytes: Option<u64>

Excess bytes in exact duplicate data groups, when regions were independently established rather than inferred from whole sections.

upper_bound_savings_bytes: Option<u64>

A theoretical maximum from directly observed exact duplication.

This is explicitly not a claim that a linker or refactoring can remove the bytes without changing behaviour or layout.

estimated_refactor_savings_bytes: Option<EstimatedRefactorSavingsBytes>

A source-informed refactoring estimate, unavailable before mapping.

verified_savings_bytes: Option<VerifiedSavingsBytes>

A before/after measured reduction, unavailable for one artifact.

clone_confidence: EvidenceConfidence

Confidence in the duplicate observation. Exact byte equality is a direct observation, while normalized equality stays separate in the duplicate report.

savings_confidence: EvidenceConfidence

Confidence in a possible size reduction. This is unavailable before source mapping and a measured refactoring supply actual evidence.

assumptions: Vec<String>

Conditions and omissions that qualify the derived categories.

Trait Implementations

impl Clone for SizeClassification

fn clone(&self) -> SizeClassification

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SizeClassification

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for SizeClassification

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for SizeClassification

impl PartialEq for SizeClassification

fn eq(&self, other: &SizeClassification) -> bool

Equality operator ==.

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

Inequality operator !=.

impl Serialize for SizeClassification

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for SizeClassification