simsimd/javascript/dist/esm/fallback.d.ts

Portable mixed-precision BLAS-like vector math library for x86 and ARM

/**
 * @brief Computes the inner distance of two vectors (same as dot product).
 * @param {Float64Array|Float32Array} a - The first vector.
 * @param {Float64Array|Float32Array} b - The second vector.
 * @returns {number} The inner distance of vectors a and b.
 */
export declare function inner(a: Float64Array | Float32Array, b: Float64Array | Float32Array): number;
/**
 * @brief Computes the inner distance of two vectors (same as inner product).
 * @param {Float64Array|Float32Array} a - The first vector.
 * @param {Float64Array|Float32Array} b - The second vector.
 * @returns {number} The inner distance of vectors a and b.
 */
export declare function dot(a: Float64Array | Float32Array, b: Float64Array | Float32Array): number;
/**
 * @brief Computes the squared Euclidean distance between two vectors.
 * @param {Float64Array|Float32Array|Int8Array|Uint8Array} a - The first vector.
 * @param {Float64Array|Float32Array|Int8Array|Uint8Array} b - The second vector.
 * @returns {number} The squared Euclidean distance between vectors a and b.
 */
export declare function sqeuclidean(a: Float64Array | Float32Array | Int8Array | Uint8Array, b: Float64Array | Float32Array | Int8Array | Uint8Array): number;
/**
 * @brief Computes the L2 Euclidean distance between two vectors.
 * @param {Float64Array|Float32Array|Int8Array | Uint8Array} a - The first vector.
 * @param {Float64Array|Float32Array|Int8Array | Uint8Array} b - The second vector.
 * @returns {number} The L2 euclidean distance between vectors a and b.
 */
export declare function euclidean(a: Float64Array | Float32Array | Int8Array | Uint8Array, b: Float64Array | Float32Array | Int8Array | Uint8Array): number;
/**
 * @brief Computes the cosine distance between two vectors.
 * @param {Float64Array|Float32Array|Int8Array} a - The first vector.
 * @param {Float64Array|Float32Array|Int8Array} b - The second vector.
 * @returns {number} The cosine distance between vectors a and b.
 */
export declare function cosine(a: Float64Array | Float32Array | Int8Array, b: Float64Array | Float32Array | Int8Array): number;
/**
 * @brief Computes the bitwise Hamming distance between two vectors.
 * @param {Uint8Array} a - The first vector.
 * @param {Uint8Array} b - The second vector.
 * @returns {number} The Hamming distance between vectors a and b.
 */
export declare const hamming: (a: Uint8Array, b: Uint8Array) => number;
/**
 * @brief Computes the bitwise Jaccard similarity coefficient between two vectors.
 * @param {Uint8Array} a - The first vector.
 * @param {Uint8Array} b - The second vector.
 * @returns {number} The Jaccard similarity coefficient between vectors a and b.
 */
export declare const jaccard: (a: Uint8Array, b: Uint8Array) => number;
/**
 * @brief Computes the Kullback-Leibler divergence between two probability distributions.
 * @param {Float64Array|Float32Array} a - The first vector.
 * @param {Float64Array|Float32Array} b - The second vector.
 * @returns {number} The Jaccard similarity coefficient between vectors a and b.
 */
export declare const kullbackleibler: (a: Float64Array | Float32Array, b: Float64Array | Float32Array) => number;
/**
 * @brief Computes the Jensen-Shannon distance between two probability distributions.
 * @param {Float64Array|Float32Array} a - The first probability distribution.
 * @param {Float64Array|Float32Array} b - The second probability distribution.
 * @returns {number} The Jensen-Shannon distance between distributions a and b.
 */
export declare const jensenshannon: (a: Float64Array | Float32Array, b: Float64Array | Float32Array) => number;
declare const _default: {
    sqeuclidean: typeof sqeuclidean;
    euclidean: typeof euclidean;
    cosine: typeof cosine;
    inner: typeof inner;
    hamming: (a: Uint8Array, b: Uint8Array) => number;
    jaccard: (a: Uint8Array, b: Uint8Array) => number;
    kullbackleibler: (a: Float64Array | Float32Array, b: Float64Array | Float32Array) => number;
    jensenshannon: (a: Float64Array | Float32Array, b: Float64Array | Float32Array) => number;
};
export default _default;