/**
 * Takes distances between points into account and samples at equal intervals along linear distance along the point sequence. Computationally slightly more expensive, but produces very predictable and stable results
 * @param {number[]|Float32Array} result
 * @param {number[]|Float32Array} input
 * @param {number} input_length number of points in the input
 * @param {number} dimensions number of dimensions per vertex
 * @param {number} sample_count number of discrete points to be generated
 * @param {number} [alpha=0.5] parameter for control point weights (see non-parametric catmull-rom for details on "alpha" definition)
 */
export function computeCatmullRomSplineUniformDistance(result: number[] | Float32Array, input: number[] | Float32Array, input_length: number, dimensions: number, sample_count: number, alpha?: number): void;
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