Struct BinaryQuantized 

pub struct BinaryQuantized {
    pub bits: Vec<u8>,
    pub dimensions: usize,
}

Binary quantization (32x compression)

Fields

bits: Vec<u8>

Binary representation (1 bit per dimension, packed into bytes)

dimensions: usize

Number of dimensions

Implementations

impl BinaryQuantized

pub fn hamming_distance_fast(a: &[u8], b: &[u8]) -> u32

Fast hamming distance using SIMD-optimized operations

Uses hardware POPCNT on x86_64 or NEON vcnt on ARM64 for optimal performance. Processes 16 bytes at a time on ARM64, 8 bytes at a time on x86_64. Falls back to 64-bit operations for remainders.

pub fn similarity(&self, other: &Self) -> f32

Compute normalized hamming similarity (0.0 to 1.0)

pub fn compression_ratio() -> f32

Get compression ratio (32x for binary)

pub fn to_bytes(&self) -> &[u8]

Convert to bytes for storage

pub fn from_bytes(bits: Vec<u8>, dimensions: usize) -> Self

Create from bytes

Trait Implementations

impl Clone for BinaryQuantized

fn clone(&self) -> BinaryQuantized

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BinaryQuantized

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for BinaryQuantized

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl QuantizedVector for BinaryQuantized

fn quantize(vector: &[f32]) -> Self

Quantize a full-precision vector

fn distance(&self, other: &Self) -> f32

Calculate distance to another quantized vector

fn reconstruct(&self) -> Vec<f32>

Reconstruct approximate full-precision vector

impl Serialize for BinaryQuantized

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

where __S: Serializer,

Serialize this value into the given Serde serializer.