Struct LabyrinthStructure 

pub struct LabyrinthStructure {
    pub embedding_dimension: u8,
    pub time_delay: u16,
    pub attractor_points: Vec<Vec<f64>>,
    pub betti_numbers: Vec<u32>,
    pub lyapunov_exponent: Option<f64>,
    pub correlation_dimension: f64,
}

Detects characteristic attractors in human typing via Takens’ embedding.

labyrinth-structure = {
  1: uint,                    ; Embedding dimension (typically 3-5)
  2: uint,                    ; Time delay (samples)
  3: [[* float64]],           ; Attractor points (sampled)
  4: [* uint],                ; Betti numbers [β₀, β₁, β₂, ...]
  5: float64,                 ; Lyapunov exponent estimate
  6: float64                  ; Correlation dimension
}

Fields

embedding_dimension: u8

time_delay: u16

attractor_points: Vec<Vec<f64>>

Each inner vec has length embedding_dimension.

betti_numbers: Vec<u32>

β₀=components, β₁=loops, β₂=voids.

lyapunov_exponent: Option<f64>

Positive = chaotic (human-like), non-positive = periodic. None when not computed from source data.

correlation_dimension: f64

Non-integer values suggest fractal attractor.

Trait Implementations

impl Clone for LabyrinthStructure

fn clone(&self) -> LabyrinthStructure

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LabyrinthStructure

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for LabyrinthStructure

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for LabyrinthStructure

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

where __S: Serializer,

Serialize this value into the given Serde serializer.