给定 X 个骰子输入,生成特定数字
Generate a specific number given X inputs of dice rolls
我正在尝试想出一个解决方案,我需要掷一些骰子(所有骰子大小相同)并达到指定的数字。如果我有所有的验证以确保数字有效并且理论上可以达到预期的结果,有没有人有解决这个问题的好算法?请注意,它应该是随机出现的,而不仅仅是一条直线。
一些例子
roll 3 d6 and get 14 -> so it could output 5,3,6 or 6,6,2
roll 4 d20 and get 66 -> so it could output 16,14,19,17
我需要一个通用函数,它可以接受任意大小的骰子、任意数量的骰子以及所需的结果。
我最初的尝试如下,虽然这不会产生所需的输出(您现在可以忽略 mod
,这也是为了允许修饰符)。此示例也缺少可实现所需输出的验证,但这不是问题的一部分。
let desired = 19
let mod = 0
let dm = desired - mod
let n = 5;// number of dice
let d = 6 // dice sides
let nums = []
for(i =0; i< n; i++) {
nums.push(Math.round(Math.random() * Math.round(d)) + 1)
}
let sum = nums.reduce((acc,val) => acc + val)
nums = nums.map(a => Math.round((a/sum) * dm))
let diff = dm - (nums.reduce((acc,val) => acc + val))
function recursive(diff) {
let ran = nums[Math.random() * Math.round(nums.length -1)]
if(nums[ran] + diff > d || nums[ran] + diff < 1) {
recursive(diff)
} else {
nums[ran] += diff
}
}
while(diff != 0) {
recursive(diff)
diff += diff < 0 ? 1 : -1;
}
alert(nums)
ruby 中的解决方案:
def foo(count, dim, desired, results = [])
return results if count == 0
raise ArgumentError if count > desired
raise ArgumentError if count * dim < desired
max_roll = (dim <= desired - count) ? dim : desired - count + 1
min_roll = [(desired - (count-1) * dim), 1].max
roll = (rand(min_roll..max_roll))
results << roll
foo(count - 1, dim, desired - roll, results)
results
end
puts foo(3, 6, 11).inspect
puts foo(2, 6, 11).inspect
puts foo(4, 4, 11).inspect
结果:
[3, 4, 4]
[5, 6]
[2, 3, 4, 2]
所以基本上就是递归函数。每一步:
- 掷骰子(在允许的范围内min_roll..max_roll)
- 调用相同的函数,但将计数减去骰子已经消耗的数量,并根据掷骰子的值扩展结果数组
请注意一件事:使用这种行为,结果的开头可能会有更大的数字。为避免这种情况,只需在函数末尾随机播放函数结果
递归:
function foo(desired, rolls, sides, current) {
if (rolls === 0) {
return current.reduce((s, c) => s + c) === desired ? current : null;
}
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1))
random.splice(randomIndex, 0, i);
}
for (const n of random) {
const result = foo(desired, rolls - 1, sides, [...current, n]);
if (result) {
return result;
}
}
}
console.log(foo(14, 3, 6, []))
非递归:
function foo(desired, rolls, sides) {
const stack = [[]];
while (stack.length) {
const current = stack.pop();
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1));
random.splice(randomIndex, 0, i);
}
for (const n of random) {
if (current.length === rolls - 1) {
if (current.reduce((s, c) => s + c + n) === desired) {
return [...current, n];
}
} else {
stack.push([...current, n]);
}
}
}
}
console.log(foo(14, 3, 6));
具有最小内存消耗的非递归:
function foo(desired, rolls, sides) {
const currentIndexes = Array(rolls).fill(0);
const randoms = Array.from({ length: rolls }, () => {
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1));
random.splice(randomIndex, 0, i);
}
return random;
})
while (true) {
if (currentIndexes.reduce((s, idx, i) => s + randoms[i][idx], 0) === desired) {
return currentIndexes.map((idx, i) => randoms[i][idx]);
}
for (let i = currentIndexes.length - 1; i >= 0; i--) {
if (currentIndexes[i] < sides - 1) {
currentIndexes[i] += 1;
break;
}
currentIndexes[i] = 0;
}
}
}
console.log(foo(14, 3, 6));
非递归解决方案,内存消耗最小,通过根据之前的滚动计算最后一次滚动来提高性能。
function foo(desired, rolls, sides) {
const currentIndexes = Array(rolls - 1).fill(0);
const randoms = Array.from({ length: rolls - 1 }, () => {
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1));
random.splice(randomIndex, 0, i);
}
return random;
})
while (true) {
const diff = desired - currentIndexes.reduce((s, idx, i) => s + randoms[i][idx], 0);
if (diff > 0 && diff <= sides) {
return [...currentIndexes.map((idx, i) => randoms[i][idx]), diff];
}
for (let i = currentIndexes.length - 1; i >= 0; i--) {
if (currentIndexes[i] < sides - 1) {
currentIndexes[i] += 1;
break;
}
currentIndexes[i] = 0;
}
}
}
console.log(foo(66, 4, 20));
我正在尝试想出一个解决方案,我需要掷一些骰子(所有骰子大小相同)并达到指定的数字。如果我有所有的验证以确保数字有效并且理论上可以达到预期的结果,有没有人有解决这个问题的好算法?请注意,它应该是随机出现的,而不仅仅是一条直线。
一些例子
roll 3 d6 and get 14 -> so it could output 5,3,6 or 6,6,2
roll 4 d20 and get 66 -> so it could output 16,14,19,17
我需要一个通用函数,它可以接受任意大小的骰子、任意数量的骰子以及所需的结果。
我最初的尝试如下,虽然这不会产生所需的输出(您现在可以忽略 mod
,这也是为了允许修饰符)。此示例也缺少可实现所需输出的验证,但这不是问题的一部分。
let desired = 19
let mod = 0
let dm = desired - mod
let n = 5;// number of dice
let d = 6 // dice sides
let nums = []
for(i =0; i< n; i++) {
nums.push(Math.round(Math.random() * Math.round(d)) + 1)
}
let sum = nums.reduce((acc,val) => acc + val)
nums = nums.map(a => Math.round((a/sum) * dm))
let diff = dm - (nums.reduce((acc,val) => acc + val))
function recursive(diff) {
let ran = nums[Math.random() * Math.round(nums.length -1)]
if(nums[ran] + diff > d || nums[ran] + diff < 1) {
recursive(diff)
} else {
nums[ran] += diff
}
}
while(diff != 0) {
recursive(diff)
diff += diff < 0 ? 1 : -1;
}
alert(nums)
ruby 中的解决方案:
def foo(count, dim, desired, results = [])
return results if count == 0
raise ArgumentError if count > desired
raise ArgumentError if count * dim < desired
max_roll = (dim <= desired - count) ? dim : desired - count + 1
min_roll = [(desired - (count-1) * dim), 1].max
roll = (rand(min_roll..max_roll))
results << roll
foo(count - 1, dim, desired - roll, results)
results
end
puts foo(3, 6, 11).inspect
puts foo(2, 6, 11).inspect
puts foo(4, 4, 11).inspect
结果:
[3, 4, 4]
[5, 6]
[2, 3, 4, 2]
所以基本上就是递归函数。每一步:
- 掷骰子(在允许的范围内min_roll..max_roll)
- 调用相同的函数,但将计数减去骰子已经消耗的数量,并根据掷骰子的值扩展结果数组
请注意一件事:使用这种行为,结果的开头可能会有更大的数字。为避免这种情况,只需在函数末尾随机播放函数结果
递归:
function foo(desired, rolls, sides, current) {
if (rolls === 0) {
return current.reduce((s, c) => s + c) === desired ? current : null;
}
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1))
random.splice(randomIndex, 0, i);
}
for (const n of random) {
const result = foo(desired, rolls - 1, sides, [...current, n]);
if (result) {
return result;
}
}
}
console.log(foo(14, 3, 6, []))
非递归:
function foo(desired, rolls, sides) {
const stack = [[]];
while (stack.length) {
const current = stack.pop();
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1));
random.splice(randomIndex, 0, i);
}
for (const n of random) {
if (current.length === rolls - 1) {
if (current.reduce((s, c) => s + c + n) === desired) {
return [...current, n];
}
} else {
stack.push([...current, n]);
}
}
}
}
console.log(foo(14, 3, 6));
具有最小内存消耗的非递归:
function foo(desired, rolls, sides) {
const currentIndexes = Array(rolls).fill(0);
const randoms = Array.from({ length: rolls }, () => {
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1));
random.splice(randomIndex, 0, i);
}
return random;
})
while (true) {
if (currentIndexes.reduce((s, idx, i) => s + randoms[i][idx], 0) === desired) {
return currentIndexes.map((idx, i) => randoms[i][idx]);
}
for (let i = currentIndexes.length - 1; i >= 0; i--) {
if (currentIndexes[i] < sides - 1) {
currentIndexes[i] += 1;
break;
}
currentIndexes[i] = 0;
}
}
}
console.log(foo(14, 3, 6));
非递归解决方案,内存消耗最小,通过根据之前的滚动计算最后一次滚动来提高性能。
function foo(desired, rolls, sides) {
const currentIndexes = Array(rolls - 1).fill(0);
const randoms = Array.from({ length: rolls - 1 }, () => {
const random = [];
for (let i = 1; i <= sides; i++) {
const randomIndex = Math.floor(Math.random() * (random.length + 1));
random.splice(randomIndex, 0, i);
}
return random;
})
while (true) {
const diff = desired - currentIndexes.reduce((s, idx, i) => s + randoms[i][idx], 0);
if (diff > 0 && diff <= sides) {
return [...currentIndexes.map((idx, i) => randoms[i][idx]), diff];
}
for (let i = currentIndexes.length - 1; i >= 0; i--) {
if (currentIndexes[i] < sides - 1) {
currentIndexes[i] += 1;
break;
}
currentIndexes[i] = 0;
}
}
}
console.log(foo(66, 4, 20));