Struct FuzzyScore 

pub struct FuzzyScore { /* private fields */ }

A normalised similarity score in the range [0.0, 1.0].

• 1.0 means an exact match.
• 0.0 means completely dissimilar.

Implementations

impl FuzzyScore

pub fn new(value: f64) -> Self

Create a new score, clamping to [0.0, 1.0].

pub fn value(self) -> f64

Return the score value.

pub fn meets_threshold(self, threshold: f64) -> bool

Check whether the score meets a given threshold.

pub fn is_exact(self) -> bool

Exact match (score == 1.0).

pub fn average(self, other: Self) -> Self

Combine two scores by averaging.

pub fn weighted_average(scores: &[(Self, f64)]) -> Self

Combine two scores using a weighted average.

Trait Implementations

impl Clone for FuzzyScore

fn clone(&self) -> FuzzyScore

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for FuzzyScore

impl Debug for FuzzyScore

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

Formats the value using the given formatter.

impl Display for FuzzyScore

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

Formats the value using the given formatter.

impl PartialEq for FuzzyScore

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.