Struct SubmodalityPattern 

pub struct SubmodalityPattern {
    pub brightness: f32,
    pub color_temp: f32,
    pub focal_distance: f32,
    pub volume: f32,
    pub tempo: f32,
    pub pitch: f32,
    pub temperature: f32,
    pub movement: f32,
    pub arousal: f32,
}

A submodality pattern as described in the paper.

This mirrors the SubmodalityPattern pseudo-code and keeps raw values in their natural units. Normalization to [0, 1] is handled separately.

Fields

brightness: f32

Brightness, normalized to [0.0, 1.0].

color_temp: f32

Color temperature in Kelvin (2000–10000).

focal_distance: f32

Focal distance, normalized to [0.0, 1.0].

volume: f32

Volume, normalized to [0.0, 1.0].

tempo: f32

Tempo in BPM (0–300).

pitch: f32

Pitch in Hertz (20–20000).

temperature: f32

Temperature in Celsius.

movement: f32

Movement, normalized to [0.0, 1.0].

arousal: f32

Arousal, normalized to [0.0, 1.0].

Implementations

impl SubmodalityPattern

pub fn zeros() -> Self

Create a neutral baseline pattern for initialization and testing.

“Neutral” means unit-range fields are centered or zeroed, and absolute scale fields are set to commonly used midpoints. This is a placeholder baseline and should be replaced with domain-specific defaults later.

Examples found in repository

examples/demo_offline_matching.rs (line 13)

fn main() {
    let srt = SemanticRendezvousToken::from_hex(
        "000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f",
    )
    .expect("valid hex");
    let target = pattern_from_srt(&srt, b"oracle-state");

    let measured_stream = vec![
        SubmodalityPattern::zeros(),
        SubmodalityPattern {
            brightness: 0.52,
            volume: 0.47,
            ..SubmodalityPattern::zeros()
        },
        SubmodalityPattern {
            brightness: 0.51,
            volume: 0.48,
            ..SubmodalityPattern::zeros()
        },
        SubmodalityPattern {
            brightness: 0.5,
            volume: 0.49,
            ..SubmodalityPattern::zeros()
        },
    ];

    let mut matcher = Matcher::new(MatchingConfig::new(0.2, 2));

    for (index, measured) in measured_stream.iter().enumerate() {
        let matched = matcher.observe(measured, &target);
        if matched {
            println!("rendezvous triggered at index {index}");
        } else {
            println!("no match at index {index}");
        }
    }
}

pub fn normalize(&self) -> NormalizedPattern

Normalize this pattern into [0, 1] ranges for distance calculations.

The normalization uses fixed min/max ranges for each dimension. These ranges are reference defaults and may need tuning or calibration in real deployments based on sensors and user populations.

Temperature normalization assumes a 10..=40 Celsius operating window as a placeholder until domain-specific bounds are defined.

Trait Implementations

impl Clone for SubmodalityPattern

fn clone(&self) -> SubmodalityPattern

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SubmodalityPattern

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for SubmodalityPattern

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for SubmodalityPattern

fn eq(&self, other: &SubmodalityPattern) -> 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.

impl Serialize for SubmodalityPattern

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 SubmodalityPattern