Remove unreachable code and unused variables (#823)

Author: ishii-norimi

lib/model/markov_switching.js

@@ -153,7 +153,7 @@ export default class MarkovSwitching {
 				}
 			}
 		}
-		const [ms, ss, ps, ls] = this._mcmc(x, eps, trial)
+		this._mcmc(x, eps, trial)
 	}
 
 	/**

lib/model/monte_carlo.js

@@ -13,7 +13,7 @@ class MCTable extends QTableBase {
 		let last_g = 0
 		for (let i = actions.length - 1; i >= 0; i--) {
 			const [action, cur_state, reward] = actions[i]
-			const [_, gs] = this._q(this._state_index(cur_state), this._action_index(action))
+			const [, gs] = this._q(this._state_index(cur_state), this._action_index(action))
 			last_g = reward + this._gamma * last_g
 			this._g[gs] = (last_g + this._g[gs] * this._epoch) / (this._epoch + 1)
 			this._table[gs] = this._g[gs]

lib/model/nice.js

@@ -24,9 +24,6 @@ export default class NICE {
 
 		this._model = NeuralNetwork.fromObject(layers, null, optimizer)
 		this._epoch = 0
-		this._p = z => {
-			return Matrix.map(z, v => Math.exp(-(v ** 2) / 2) / Math.sqrt(2 * Math.PI))
-		}
 	}
 
 	/**

lib/model/optics.js

@@ -95,11 +95,6 @@ export default class OPTICS {
 			neighbors.sort((a, b) => a - b)
 			return neighbors[this._minPts]
 		}
-		const reachabilityDist = (o, i) => {
-			const cd = coreDist(i)
-			if (cd === null) return cd
-			return Math.max(cd, d[i][o])
-		}
 
 		const processed = Array(n).fill(false)
 		const rd = Array(n).fill(null)

lib/model/orclus.js

@@ -17,8 +17,6 @@ export default class ORCLUS {
 		this._l = l
 		this._alpha = 0.5
 		this._beta = null
-
-		this._d = (a, b) => Math.sqrt(a.reduce((s, v, i) => s + (v - b[i]) ** 2, 0))
 	}
 
 	_pdist(a, b, e) {

lib/model/smirnov_grubbs.js

@@ -46,8 +46,7 @@ const ibeta = (x, a, b) => {
 	const e = 1.0e-12
 	for (let n = 1; n < 1000; n++) {
 		if (Math.abs(g2 - g0) < e) break
-		const n2 = n * 2,
-			n2a = n * 2 * a
+		const n2a = n * 2 * a
 		c0 = (x * n * (b - n)) / (n2a * (n2a - 1))
 		c1 = (-x * (a + n) * (a + b + n)) / (n2a * (n2a + 1))
 
@@ -115,50 +114,6 @@ const qt = (n, a) => {
 	throw 'qt not converged.'
 }
 
-// https://bellcurve.jp/statistics/course/8970.html
-// http://www.geisya.or.jp/~mwm48961/statistics/sample3.htm
-// https://ai-trend.jp/basic-study/t-distribution/t-table/
-const tTable = [
-	[3.078, 6.314, 12.706, 31.821, 63.657],
-	[1.886, 2.92, 4.303, 6.965, 9.925],
-	[1.638, 2.353, 3.182, 4.541, 5.841],
-	[1.533, 2.132, 2.776, 3.747, 4.604],
-	[1.476, 2.015, 2.571, 3.365, 4.032],
-	[1.44, 1.943, 2.447, 3.143, 3.707],
-	[1.415, 1.895, 2.365, 2.998, 3.499],
-	[1.397, 1.86, 2.306, 2.896, 3.355],
-	[1.383, 1.833, 2.262, 2.821, 3.25],
-	[1.372, 1.812, 2.228, 2.764, 3.169],
-	[1.363, 1.796, 2.201, 2.718, 3.106],
-	[1.356, 1.782, 2.179, 2.681, 3.055],
-	[1.35, 1.771, 2.16, 2.65, 3.012],
-	[1.345, 1.761, 2.145, 2.624, 2.977],
-	[1.341, 1.753, 2.131, 2.602, 2.947],
-	[1.337, 1.746, 2.12, 2.583, 2.921],
-	[1.333, 1.74, 2.11, 2.567, 2.898],
-	[1.33, 1.734, 2.101, 2.552, 2.878],
-	[1.328, 1.729, 2.093, 2.539, 2.861],
-	[1.325, 1.725, 2.086, 2.528, 2.845],
-	[1.323, 1.721, 2.08, 2.518, 2.831],
-	[1.321, 1.717, 2.074, 2.508, 2.819],
-	[1.319, 1.714, 2.069, 2.5, 2.807],
-	[1.318, 1.711, 2.064, 2.492, 2.797],
-	[1.316, 1.708, 2.06, 2.485, 2.787],
-	[1.315, 1.706, 2.056, 2.479, 2.779],
-	[1.314, 1.703, 2.052, 2.473, 2.771],
-	[1.313, 1.701, 2.048, 2.467, 2.763],
-	[1.311, 1.699, 2.045, 2.462, 2.756],
-	[1.31, 1.697, 2.042, 2.457, 2.75],
-]
-const v40 = [1.303, 1.684, 2.021, 2.423, 2.704]
-const v60 = [1.296, 1.671, 2.0, 2.39, 2.66]
-const v80 = [1.292, 1.664, 1.99, 2.374, 2.639]
-const v120 = [1.289, 1.658, 1.98, 2.358, 2.617]
-const v180 = [1.286, 1.653, 1.973, 2.347, 2.603]
-const v240 = [1.285, 1.651, 1.97, 2.342, 2.596]
-const vinf = [1.258, 1.645, 1.96, 2.326, 2.576]
-const p = [0.1, 0.05, 0.025, 0.01, 0.005]
-
 /**
  * SmirnovGrubbs test
  */

lib/model/yinyang_kmeans.js

@@ -155,8 +155,6 @@ export default class YinyangKMeans {
 			}
 		}
 
-		const lb_old = []
-		const b_old = []
 		for (let i = 0; i < n; i++) {
 			this._ub[i] += delta_c[this._b[i]]
 			const lb_old = []

lib/rl/gomoku.js

@@ -257,7 +257,7 @@ class GomokuBoard {
 		}
 	}
 
-	choices(turn) {
+	choices() {
 		const c = []
 		if (this.finish) {
 			return c

lib/util/tensor.js

@@ -1,6 +1,6 @@
 import Matrix, { MatrixException } from './matrix.js'
 
-const normal_random = function (m = 0, s = 1) {
+const normal_random = function (m, s) {
 	const std = Math.sqrt(s)
 	const x = Math.random()
 	const y = Math.random()