Fix some lint errors

.prettierignore

@@ -1,2 +1,4 @@
+coverage/**
+coverage-gui/**
 lib/model/nns/onnx/onnx_pb.js
 onnx_tmp/**

create_import_list.js

@@ -101,7 +101,7 @@ export default {
 `
 
 	const addExports = (key, names) => {
-		code += '	/**\n	 * @memberof default\n'
+		code += '	/**\n'
 		for (const name of names) {
 			code += `	 * @property {${name.name}} ${name.name}${name.comment}\n`
 		}

lib/model/nns/layer/index.js

@@ -187,7 +187,7 @@ export { default as VarLayer } from './variance.js'
  * { type: 'huber' } |
  * { type: 'identity' } |
  * { type: 'include', net: NeuralNetwork | object[], input_to?: string, train?: boolean } |
- * { type: 'input', name?: string, size?: number[], value?: number | number[] | number[][] | nunber[][][] | number[][][][] | Matrix | Tensor } |
+ * { type: 'input', name?: string, size?: (number | null)[], value?: number | number[] | number[][] | number[][][] | number[][][][] | Matrix | Tensor } |
  * { type: 'is_inf' } |
  * { type: 'is_nan' } |
  * { type: 'isigmoid', a?: number, alpha?: number } |

lib/model/nns/layer/input.js

@@ -9,8 +9,8 @@ export default class InputLayer extends Layer {
 	/**
 	 * @param {object} config object
 	 * @param {string} [config.name] Name of the layer
-	 * @param {number[]} [config.size] Size of the layer
-	 * @param {number | number[] | number[][] | nunber[][][] | number[][][][] | Matrix | Tensor} [config.value] Default value
+	 * @param {(number | null)[]} [config.size] Size of the layer
+	 * @param {number | number[] | number[][] | number[][][] | number[][][][] | Matrix | Tensor} [config.value] Default value
 	 */
 	constructor({ name = null, size = null, value, ...rest }) {
 		super(rest)

lib/model/nns/onnx/layer/reshape.js

@@ -1,5 +1,4 @@
 import { onnx } from '../onnx_exporter.js'
-import { getConstNodeName } from '../utils.js'
 
 /**
  * Handle reshape layer

lib/util/matrix.js

@@ -27,7 +27,7 @@ export class MatrixException extends Error {
 
 /**
  * Matrix class
- * @template [T=number]
+ * @template {*} [T=number] - Element type
  */
 export default class Matrix {
 	/**
@@ -413,7 +413,7 @@ export default class Matrix {
 
 	/**
 	 * Iterate over the elements.
-	 * @returns {Generator<T>}
+	 * @yields {T}
 	 */
 	*[Symbol.iterator]() {
 		yield* this._value
@@ -2043,7 +2043,7 @@ export default class Matrix {
 
 	/**
 	 * Returns diagonal elements.
-	 * @returns {number[]} Diagonal values
+	 * @returns {T[]} Diagonal values
 	 */
 	diag() {
 		let d = []

tests/gui/helper/aimanager.js

@@ -28,7 +28,7 @@ export default (page, option = {}) => {
 				for (const key of propNames) {
 					try {
 						stack.push([obj[key], key, o])
-					} catch (e) {
+					} catch {
 						o[key] = 'error'
 					}
 				}
@@ -43,7 +43,7 @@ export default (page, option = {}) => {
 						if (descriptor.get) {
 							try {
 								stack.push([obj[key], key, o])
-							} catch (e) {
+							} catch {
 								o[key] = 'error'
 							}
 						}

tests/lib/model/n_cubic_interpolation.test.js

@@ -100,36 +100,35 @@ test('interpolation 2d', () => {
 		}
 	}
 	const y0 = model.predict(x0)
-	for (let i = 0, p = 0; i <= (n - 1) * 4; i++) {
+	let p = 0
+	for (let i = 0; i < 4; i++) {
+		for (let j = 0; j <= (n - 1) * 4; j++, p++) {
+			expect(y0[p]).toBeNull()
+		}
+	}
+	for (let i = 4; i <= (n - 2) * 4; i++) {
+		for (let j = 0; j < 4; j++, p++) {
+			expect(y0[p]).toBeNull()
+		}
+		for (let j = 4; j <= (n - 2) * 4; j++, p++) {
+			const ps = [
+				v[Math.floor(i / 4)][Math.floor(j / 4)],
+				v[Math.ceil(i / 4)][Math.floor(j / 4)],
+				v[Math.floor(i / 4)][Math.ceil(j / 4)],
+				v[Math.ceil(i / 4)][Math.ceil(j / 4)],
+			]
+			const l = Math.min(...ps)
+			const h = Math.max(...ps)
+			expect(y0[p]).toBeGreaterThanOrEqual(l - (h - l) / 1.5)
+			expect(y0[p]).toBeLessThanOrEqual(h + (h - l) / 1.5)
+		}
+		for (let j = (n - 2) * 4 + 1; j <= (n - 1) * 4; j++, p++) {
+			expect(y0[p]).toBeNull()
+		}
+	}
+	for (let i = (n - 2) * 4 + 1; i <= (n - 1) * 4; i++) {
 		for (let j = 0; j <= (n - 1) * 4; j++, p++) {
-			if (i / 4 < 1 || i / 4 > n - 2 || j / 4 < 1 || j / 4 > n - 2) {
-				expect(y0[p]).toBeNull()
-			} else if (Number.isInteger(i / 4) && Number.isInteger(j / 4)) {
-				expect(y0[p]).toBeCloseTo(v[i / 4][j / 4])
-			} else if (Number.isInteger(i / 4)) {
-				const ps = [v[i / 4][Math.ceil(j / 4)], v[i / 4][Math.floor(j / 4)]]
-				const l = Math.min(...ps)
-				const h = Math.max(...ps)
-				expect(y0[p]).toBeGreaterThanOrEqual(l - (h - l) / 1.5)
-				expect(y0[p]).toBeLessThanOrEqual(h + (h - l) / 1.5)
-			} else if (Number.isInteger(j / 4)) {
-				const ps = [v[Math.ceil(i / 4)][j / 4], v[Math.floor(i / 4)][j / 4]]
-				const l = Math.min(...ps)
-				const h = Math.max(...ps)
-				expect(y0[p]).toBeGreaterThanOrEqual(l - (h - l) / 1.5)
-				expect(y0[p]).toBeLessThanOrEqual(h + (h - l) / 1.5)
-			} else {
-				const ps = [
-					v[Math.floor(i / 4)][Math.floor(j / 4)],
-					v[Math.ceil(i / 4)][Math.floor(j / 4)],
-					v[Math.floor(i / 4)][Math.ceil(j / 4)],
-					v[Math.ceil(i / 4)][Math.ceil(j / 4)],
-				]
-				const l = Math.min(...ps)
-				const h = Math.max(...ps)
-				expect(y0[p]).toBeGreaterThanOrEqual(l - (h - l) / 1.5)
-				expect(y0[p]).toBeLessThanOrEqual(h + (h - l) / 1.5)
-			}
+			expect(y0[p]).toBeNull()
 		}
 	}
 

tests/lib/model/nns/onnx/layer/const.test.js

@@ -3,7 +3,6 @@ ort.env.wasm.numThreads = 1
 
 import ONNXExporter from '../../../../../../lib/model/nns/onnx/onnx_exporter.js'
 import constant from '../../../../../../lib/model/nns/onnx/layer/const.js'
-import Matrix from '../../../../../../lib/util/matrix.js'
 
 describe('export', () => {
 	test('1d array', () => {

tests/lib/rl/grid.test.js

@@ -57,11 +57,8 @@ describe('map', () => {
 			for (let j = 0; j < 10; j++) {
 				if ((i === 0 && j === 0) || (i === 19 && j === 9)) {
 					continue
-				} else if (wall.reduce((s, v) => s + (v[0] === i && v[1] === j ? 1 : 0), 0) % 2 === 1) {
-					expect(map[i][j]).toBeTruthy()
-				} else {
-					expect(map[i][j]).toBeFalsy()
 				}
+				expect(!!map[i][j]).toBe(wall.reduce((s, v) => s + (v[0] === i && v[1] === j ? 1 : 0), 0) % 2 === 1)
 			}
 		}
 	})

tests/lib/rl/maze.test.js

@@ -44,11 +44,8 @@ describe('map', () => {
 			for (let j = 0; j < 10; j++) {
 				if ((i === 0 && j === 0) || (i === 99 && j === 49)) {
 					continue
-				} else if (wall.reduce((s, v) => s + (v[0] === i && v[1] === j ? 1 : 0), 0) % 2 === 1) {
-					expect(map[i][j]).toBeTruthy()
-				} else {
-					expect(map[i][j]).toBeFalsy()
 				}
+				expect(!!map[i][j]).toBe(wall.reduce((s, v) => s + (v[0] === i && v[1] === j ? 1 : 0), 0) % 2 === 1)
 			}
 		}
 	})