fix: update dependencies

Author: lpatiny

.github/workflows/nodejs-ts.yml

@@ -11,5 +11,4 @@ jobs:
     # Documentation: https://github.com/zakodium/workflows#nodejs-ci
     uses: zakodium/workflows/.github/workflows/nodejs.yml@nodejs-v1
     with:
-      node-version-matrix: '[16, 18]'
       lint-check-types: true

package.json

@@ -18,13 +18,13 @@
     "check-types": "tsc --noEmit",
     "eslint": "eslint src --ext ts --cache",
     "eslint-fix": "npm run eslint -- --fix",
-    "prepublishOnly": "npm run tsc",
+    "prepack": "npm run tsc",
     "prettier": "prettier --check src",
     "prettier-write": "prettier --write src",
     "test": "npm run test-coverage && npm run eslint",
     "test-coverage": "npm run test-only -- --coverage",
     "test-only": "jest",
-    "tsc": "npm run clean && npm run tsc-cjs && npm run tsc-esm",
+    "tsc": "npm run clean && npm run tsc-cjs && npm run tsc-esm && npm run tsc-types",
     "tsc-cjs": "tsc --project tsconfig.cjs.json",
     "tsc-esm": "tsc --project tsconfig.esm.json"
   },
@@ -48,20 +48,20 @@
     "trailingComma": "all"
   },
   "dependencies": {
-    "cheminfo-types": "^1.4.0",
+    "cheminfo-types": "^1.7.2",
     "install": "^0.13.0",
-    "ml-matrix": "^6.10.4",
-    "ml-spectra-processing": "^12.0.0"
+    "ml-matrix": "^6.11.0",
+    "ml-spectra-processing": "^14.2.1"
   },
   "devDependencies": {
-    "@types/jest": "^29.5.0",
-    "eslint": "^8.36.0",
-    "eslint-config-cheminfo-typescript": "^11.3.1",
-    "jest": "^29.5.0",
+    "@types/jest": "^29.5.12",
+    "eslint": "^8.57.0",
+    "eslint-config-cheminfo-typescript": "^12.2.0",
+    "jest": "^29.7.0",
     "jest-matcher-deep-close-to": "^3.0.2",
-    "prettier": "^2.8.7",
-    "rimraf": "^4.4.1",
-    "ts-jest": "^29.0.5",
-    "typescript": "^5.0.2"
+    "prettier": "^3.2.5",
+    "rimraf": "^5.0.5",
+    "ts-jest": "^29.1.2",
+    "typescript": "^5.4.2"
   }
 }

src/getShortestPath.ts

@@ -1,6 +1,6 @@
 import { DoubleArray } from 'cheminfo-types';
 import type { Matrix } from 'ml-matrix';
-import { xSequentialFill } from 'ml-spectra-processing';
+import { xSequentialFillFromTo } from 'ml-spectra-processing';
 
 interface GetShortestPathOptions {
   currUnAssCol: number;
@@ -12,7 +12,7 @@ interface GetShortestPathOptions {
 }
 
 export function getShortestPath(options: GetShortestPathOptions) {
-  let {
+  const {
     currUnAssCol,
     dualVariableForColumns,
     dualVariableForRows,
@@ -21,28 +21,30 @@ export function getShortestPath(options: GetShortestPathOptions) {
     matrix,
   } = options;
 
-  let nbRows = matrix.rows;
-  let nbColumns = matrix.columns;
+  const nbRows = matrix.rows;
+  const nbColumns = matrix.columns;
 
-  let pred = new Float64Array(nbRows);
-  let scannedColumns = new Float64Array(nbColumns);
-  let scannedRows = new Float64Array(nbRows);
+  const pred = new Float64Array(nbRows);
+  const scannedColumns = new Float64Array(nbColumns);
+  const scannedRows = new Float64Array(nbRows);
 
-  let rows2Scan = Array.from(xSequentialFill({ from: 0, to: nbRows - 1 }));
+  const rows2Scan = Array.from(
+    xSequentialFillFromTo({ from: 0, to: nbRows - 1, size: nbRows }),
+  );
   let numRows2Scan = nbRows;
 
   let sink = -1;
   let delta = 0;
   let curColumn = currUnAssCol;
-  let shortestPathCost = new Array(nbRows).fill(Number.POSITIVE_INFINITY);
+  const shortestPathCost = new Array(nbRows).fill(Number.POSITIVE_INFINITY);
   while (sink === -1) {
     scannedColumns[curColumn] = 1;
     let minVal = Number.POSITIVE_INFINITY;
     let closestRowScan = -1;
     for (let curRowScan = 0; curRowScan < numRows2Scan; curRowScan++) {
-      let curRow = rows2Scan[curRowScan];
+      const curRow = rows2Scan[curRowScan];
 
-      let reducedCost =
+      const reducedCost =
         delta +
         matrix.get(curRow, curColumn) -
         dualVariableForColumns[curColumn] -
@@ -60,7 +62,7 @@ export function getShortestPath(options: GetShortestPathOptions) {
     if (!Number.isFinite(minVal)) {
       return { dualVariableForColumns, dualVariableForRows, sink, pred };
     }
-    let closestRow = rows2Scan[closestRowScan];
+    const closestRow = rows2Scan[closestRowScan];
     scannedRows[closestRow] = 1;
     numRows2Scan -= 1;
     rows2Scan.splice(closestRowScan, 1);

src/index.ts

@@ -32,10 +32,10 @@ export function linearSumAssignment(
     matrix = matrix.transpose();
   }
 
-  let nbRows = matrix.rows;
-  let nbColumns = matrix.columns;
+  const nbRows = matrix.rows;
+  const nbColumns = matrix.columns;
 
-  let matrixDelta = maximaze ? matrix.max() : matrix.min();
+  const matrixDelta = maximaze ? matrix.max() : matrix.min();
   matrix = matrix.subtract(matrixDelta);
   if (maximaze) matrix = matrix.mul(-1);
 
@@ -45,15 +45,15 @@ export function linearSumAssignment(
   let dualVariableForRows: DoubleArray = new Float64Array(nbRows);
 
   for (let currUnAssCol = 0; currUnAssCol < nbColumns; currUnAssCol++) {
-    let currentAugmenting = getShortestPath({
+    const currentAugmenting = getShortestPath({
       matrix,
       currUnAssCol,
       dualVariableForColumns,
       dualVariableForRows,
       rowAssignments,
       columnAssignments,
     });
-    let { sink, pred } = currentAugmenting;
+    const { sink, pred } = currentAugmenting;
 
     if (sink === -1) {
       return {
@@ -70,7 +70,7 @@ export function linearSumAssignment(
     let j = sink;
     for (let i = pred[j]; true; i = pred[j]) {
       rowAssignments[j] = i;
-      let h = columnAssignments[i];
+      const h = columnAssignments[i];
       columnAssignments[i] = j;
       j = h;
       if (i === currUnAssCol) break;