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259 lines (233 loc) · 8.22 KB
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function optimize() {
var errorMessage = ""
var students = parseInt(document.getElementById("students").value)
var t = parseFloat(document.getElementById("t").value)
var ft = parseFloat(document.getElementById("ft").value)
if (ft <= 0)
errorMessage += "f(t) 的值必须大于 0, 否则无法计算。"
var stars = parseFloat(document.getElementById("stars").value)
var adBonus = document.getElementById("adbonus").checked
var ignoreTheories = document.getElementById("ignoretheories").checked
var TheoryBoost = document.getElementById("theoryBoost").checked
var acceleration = document.getElementById("acceleration").checked
var accelerationBonus = parseFloat(document.getElementById("accelmult").value)
if(ignoreTheories && TheoryBoost){
errorMessage += "未解锁理论,无法启用理论加成(研究 9)。请先解锁混沌理论。"
}
else if(students <= 55 && TheoryBoost){
errorMessage += "无法在" + students + " 个学生时解锁理论加成(研究 9)。请先解锁混沌理论。"
}
if(isNaN(accelerationBonus))
accelerationBonus = 2.8538;
var log10dmu = ft
if (ft < 100) {
//More accurate calculations
var db = Math.pow(Math.pow(10,ft),0.8) / 4000000
var log10db = Math.log10(db+10)
var dpsi = Math.pow(2,(ft/25)-1) - 0.5
var log10dpsi = Math.log10(dpsi+10)
} else{
//Less accurate but works for higher ft
var log10db = (ft * 0.8) - Math.log10(4e6)
var log10dpsi = (ft / 25.0 - 1) * Math.log10(2)
}
var dtSpeedUpgrades = ft / (15.0 * Math.log10(2))
var dtSpeed = (dtSpeedUpgrades + 0.1) / 10
var dtLevels = ft / Math.log10(4)
var dt = dtSpeed * dtLevels
if (adBonus) { dt *= 1.5 }
if (acceleration) { dt *= accelerationBonus }
function getCost(num) {
if (num % 2 === 1) {
return (Math.pow(num, 2) - 1) / 4 + (num + 1) / 2
} else {
return (Math.pow(num, 2) + 2 * num) / 4
}
}
function getNextCost(num) {
return getCost(num+1) - getCost(num);
}
function getCostOrder(order) {
cost = 0;
for (var i = 0; i < order.length-1; i++) {
cost += getCost(order[i]);
}
cost += 2*order[6]
return cost
}
if (errorMessage === "") {
var boosts = [
Math.log10(dt),
0.7 * Math.log10(1 + t),
Math.log10(1 + stars),
log10db / Math.sqrt(100 * log10db),
log10dmu / 1300.0,
log10dpsi / 225 * Math.sqrt(log10dpsi),
0.1
]
}
function getTotalBoost(order) {
res = 0
for (var i = 0; i < order.length-1; i++) {
res += order[i]*boosts[i]
}
return (1+order[6]*0.1)*res
}
var order = [0, 0, 0, 0, 0, 0, 0]
if (!ignoreTheories) {
if (students >= 55) {
students -= 55
}
else if (students >= 20) {
students -= 20
while (students >= 5) {
students -= 5
}
}
}
if (TheoryBoost) {
if (students >= 30) {
students -= 30
}
else if (students >= 10) {
while (students >= 10) {
students -= 10
}
}
}
function getBestTotal(order, totalStudents, highest = [0,0,0,0,0,0,0]) {
var remainingStudents = totalStudents - getCostOrder(order)
var bestBoostPerCost = 0
var bestI = -1
for (var i = 0; i < order.length; i++) {
if ((i >= 3 && i < 6 && order[i] === 8) || (i === 6 && order[i] === 6)) {
continue
}
var boostPerCost = 0;
var cost = 0;
if (i === 6) {
bestPerCost = 0.05 * (
order[0] * boosts[0] + order[1] * boosts[1] + order[2] * boosts[2] +
order[3] * boosts[3] + order[4] * boosts[4] + order[5] * boosts[5]
)
cost = 2
}
else {
cost = getNextCost(order[i])
extraBoost = (1 + order[6] * boosts[6]) * boosts[i]
bestPerCost = extraBoost / cost
}
if (bestPerCost > bestBoostPerCost) {
if (cost > remainingStudents) {
continue
}
bestBoostPerCost = bestPerCost
bestI = i
bestCost = cost
}
}
if (bestI !== -1) {
order[bestI] += 1
if (getTotalBoost(order) > getTotalBoost(highest)) {
highest = order.slice()
}
return [order, totalStudents, highest]
}
else {
return [order, 0, highest]
}
}
if (errorMessage === "") {
var tempStudents = students
var highest = order.slice()
while (tempStudents > 0) {
var res = getBestTotal(order, tempStudents, highest)
order = res[0]
tempStudents = res[1]
highest = res[2]
}
}
function contains(arrayOfArrays, searchArray) {
var res = false
for (var i = 0; i < arrayOfArrays.length; i++) {
var array1 = arrayOfArrays[i]
res = array1.length === searchArray.length && array1.every(function(value, index) { return value === searchArray[index]})
if (res) {
return true
}
}
return false
}
function getAllForks(order, students, highest, required = [0,0,0,0,0,0,0]){
var maxBuy = [-1, -1, -1, 8, 8, 8, 6]
var tmp = []
for (var i = 0; i < order.length; i++) {
tmp1 = order.slice()
tmp1[i] = order[i] +1
if (maxBuy[i] > 0) {
tmp1[i] = Math.min(maxBuy[i], tmp1[i])
}
if (getTotalBoost(tmp1) < getTotalBoost(highest)) {
continue
}
tmp2 = required.slice()
tmp2[i] = order[i]+1
if (maxBuy[i] > 0) {
tmp2[i] = Math.min(maxBuy[i], tmp2[i] )
}
if (getCostOrder(tmp2) > students) {
continue
}
if (!contains(tmp,tmp2)) {
tmp.push(tmp2)
}
}
return tmp
}
if (errorMessage === "") {
var possibles = getAllForks(highest, students, highest)
var done_possibles = []
while (possibles.length > 0) {
var possible = possibles.shift()
done_possibles.push(possible.slice())
order = possible.slice()
total_students = students
while (total_students > 0) {
var res = getBestTotal(order, total_students, highest)
order = res[0]
total_students = res[1]
highest = res[2]
}
tmp_possibles = getAllForks(order, students, highest, possible)
for (var tmp_possible_i = 0; tmp_possible_i < tmp_possibles.length; tmp_possible_i++) {
var tmp_possible = tmp_possibles[tmp_possible_i]
if (contains(possibles, tmp_possible) || contains(done_possibles,tmp_possible)) {
continue
}
else {
possibles.push(tmp_possible)
}
}
}
order = highest
var phi = (
(1 + order[6] * boosts[6]) *
(
order[0] * boosts[0] + order[1] * boosts[1] + order[2] * boosts[2] +
order[3] * boosts[3] + order[4] * boosts[4] + order[5] * boosts[5]
)
)
var phiDigits = Math.pow(10, phi - Math.floor(phi))
}
var bonusText = ""
document.getElementById("output").innerHTML = (
/*
"Students: " + students + "<br>t: " + t + "<br>f(t): ee" + ft +
"<br>Stars: " + stars + "<br>Ad-bonus: " + adBonus +
"<br>Acceleration: " + acceleration + " and " + accelerationBonus + "x" +
"<br>" +
*/
errorMessage !== "" ? errorMessage : "dt 的计算值: " + dt.toPrecision(3) + "<br>φ=" + phiDigits.toPrecision(3) + "e" + Math.floor(phi) +
"<br>学生分配:" + order.join(", ") + "<br>研究 1 至 7 使用的学生数量:" + getCostOrder(order) + bonusText
)
}