fix(xWhittakerSmoother): use correct name to whittaker smoother (#311)

fix(xWhittakerSmoother): ensure baseline is initialized as Float64Array

fix: support TypeScript 5.9 TypedArray changes

Refs: https://devblogs.microsoft.com/typescript/announcing-typescript-5-9/#lib.d.ts-changes
Co-authored-by: Michaël Zasso <targos@protonmail.com>

Author: jobo322

src/__tests__/__snapshots__/index.test.ts.snap

@@ -74,6 +74,7 @@ exports[`test existence of exported functions 1`] = `
   "xSum",
   "xUniqueSorted",
   "xVariance",
+  "xWhittakerSmoother",
   "xWhitakerSmoother",
   "xyReduce",
   "xyAlign",

src/matrix/matrixAutoCorrelation.ts

@@ -4,7 +4,7 @@ import { xCorrelation } from '../x';
 export function matrixAutoCorrelation(
   matrix: DoubleMatrix,
   index = 0,
-): Float64Array {
+): Float64Array<ArrayBuffer> {
   const nbRows = matrix.length;
   const nbColumns = matrix[0].length;
 

src/matrix/matrixCenterZMean.ts

@@ -6,7 +6,9 @@ import { matrixCreateEmpty } from './matrixCreateEmpty';
  * Center mean of matrix columns.
  * @param matrix - matrix [rows][cols]
  */
-export function matrixCenterZMean(matrix: DoubleMatrix): Float64Array[] {
+export function matrixCenterZMean(
+  matrix: DoubleMatrix,
+): Array<Float64Array<ArrayBuffer>> {
   const nbColumns = matrix[0].length;
   const nbRows = matrix.length;
   const newMatrix = matrixCreateEmpty({ nbColumns, nbRows });

src/matrix/matrixColumnsCorrelation.ts

@@ -7,9 +7,11 @@ import { xCorrelation } from '../x';
  * Calculates a correlation matrix based on the columns of the initial matrix.
  * @param A - matrix [rows][cols]
  */
-export function matrixColumnsCorrelation(A: DoubleMatrix): Float64Array[] {
+export function matrixColumnsCorrelation(
+  A: DoubleMatrix,
+): Array<Float64Array<ArrayBuffer>> {
   const B = new Matrix(A).transpose();
-  const result: Float64Array[] = [];
+  const result: Array<Float64Array<ArrayBuffer>> = [];
   for (let i = 0; i < B.rows; i++) {
     result.push(new Float64Array(B.rows));
   }

src/matrix/matrixCuthillMckee.ts

@@ -34,7 +34,7 @@
 export function matrixCuthillMckee(
   list: number[][],
   dimension: number,
-): Float64Array {
+): Float64Array<ArrayBuffer> {
   const adj: number[][] = new Array(dimension);
   const visited: boolean[] = new Array(dimension).fill(false);
   for (let i = 0; i < dimension; ++i) {

src/matrix/matrixToArray.ts

@@ -6,7 +6,7 @@ import { matrixCheck } from './matrixCheck';
  * Convert a matrix to a flat Float64Array.
  * @param matrix
  */
-export function matrixToArray(matrix: DoubleMatrix): Float64Array {
+export function matrixToArray(matrix: DoubleMatrix): Float64Array<ArrayBuffer> {
   matrixCheck(matrix);
 
   const nbColumns = matrix[0].length;

src/matrix/matrixTranspose.ts

@@ -1,6 +1,6 @@
 import type { NumberArrayConstructor } from '../utils';
-import { matrixCheck } from './matrixCheck';
 
+import { matrixCheck } from './matrixCheck';
 import { matrixCreateEmpty } from './matrixCreateEmpty';
 
 export interface MatrixTransposeOptions<

src/matrix/matrixZRescalePerColumn.ts

@@ -24,7 +24,7 @@ export interface MatrixZRescalePerColumnOptions {
 export function matrixZRescalePerColumn(
   matrix: DoubleMatrix,
   options: MatrixZRescalePerColumnOptions = {},
-): Float64Array[] {
+): Array<Float64Array<ArrayBuffer>> {
   const { min = 0, max = 1 } = options;
   const nbColumns = matrix[0].length;
   const nbRows = matrix.length;

src/reim/reimAbsolute.ts

@@ -5,7 +5,7 @@ import type { DataReIm } from '../types';
  * @param data - complex spectrum
  * @returns - reimAbsolute value
  */
-export function reimAbsolute(data: DataReIm): Float64Array {
+export function reimAbsolute(data: DataReIm): Float64Array<ArrayBuffer> {
   const length = data.re.length;
   const re = data.re;
   const im = data.im;

src/reim/reimAutoPhaseCorrection.ts

@@ -207,7 +207,7 @@ function autoPhaseRegion(
  * @param s - Array of float.
  * @returns Array of float.
  */
-function holoborodko(s: DoubleArray): Float64Array {
+function holoborodko(s: DoubleArray): Float64Array<ArrayBuffer> {
   const dk = new Float64Array(s.length);
   for (let i = 5; i < s.length - 5; i++) {
     dk[i] =