计算投掷多个骰子的骰子赔率的函数

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英文:

Function for calculating dice odds when rolling multiple die

问题

我正在努力开发一种显示骰子统计信息的方法,就像您可以在网站https://anydice.com/上看到的那样。我已经花了一些时间浏览源代码,但总体来说它相当复杂,所以我决定在这里提问。基本上,我只需要帮助制作一个函数,该函数可以:

  • 允许您选择一个具有特定面数的骰子,例如:6。
  • 允许您选择要掷这个骰子的次数。
  • 返回使用该骰子掷出每个可能数字的百分比。

我知道这个问题可能有点烂,但这是我最后的办法。

到目前为止,我尝试过找到函数,并偶然发现了这篇中等博客,但我想知道是否可以使用百分比来完成这个任务。

英文:

I'm working on a way to display dice statistics like you can see at the site https://anydice.com/ , I've spent a bit looking through the source code but it's pretty thick alltogether so i decided to ask here. Basically, all i need help with is making a function that:

  • Lets you pick a dice with a certain amount sides, for example: 6.
  • Lets you pick how many times you want to roll this dice.
  • Returns the percentages of rolling each possible number with said dice.

I know the question might be a bit shitty, but this is kind of my last resort.

So far, I've tried finding the functions and stumbled upon this medium blog however I was wondering if it could maybe be done with percentages.

答案1

得分: 1

以下是代码的翻译部分:

// 两个六面骰子和一个八面骰子
const dice = [
  [1, 2, 3, 4, 5, 6],
  [1, 2, 3, 4, 5, 6],
  [1, 2, 3, 4, 5, 6, 7, 8],
];

// 获取两个数组的所有组合的函数
function cartesianProduct(a, b) {
  return a.flatMap(c => b.map(d => [c, d].flat()));
}

// 获取两个数字的和的函数
function sum(a, b) { return a + b; }

// 所有骰子的所有组合
const allPossibleRolls = dice.reduce(cartesianProduct);

// 每组骰子的和
const sums = allPossibleRolls.map(rolls => rolls.reduce(sum));

// 统计每个和出现的次数
const counts = sums.reduce((acc, n) => Object.assign(acc, {
  [n]: (acc[n] || 0) + 1
}), {});

// 将每个计数转换为百分比,除以 allPossibleRolls 的长度
const percents = Object.fromEntries(Object.entries(counts).map(
  ([sum, count]) => [sum, count / allPossibleRolls.length]));

Object.entries(percents).forEach(([k,v]) => {
  console.log(`${k} = ${(v * 100).toFixed(5)}%`);
});

这是您提供的代码的翻译部分。如果您有任何其他问题或需要进一步帮助,请随时提出。

英文:

Here's a way.

<!-- begin snippet: js hide: false console: true babel: false -->

<!-- language: lang-js -->

// Two 6-sided dice, one 8-sided
const dice = [
[1, 2, 3, 4, 5, 6],
[1, 2, 3, 4, 5, 6],
[1, 2, 3, 4, 5, 6, 7, 8],
];

// Function to get all combinations of two arrays
function cartesianProduct(a, b) {
return a.flatMap(c => b.map(d => [c, d].flat()));
}

// Function to get sum of two numbers
function sum(a, b) { return a + b; }

// All combinations of all dice
const allPossibleRolls = dice.reduce(cartesianProduct);

// Sum for each set of rolls
const sums = allPossibleRolls.map(rolls => rolls.reduce(sum));

// Count how many times each sum appears
const counts = sums.reduce((acc, n) => Object.assign(acc, {
[n]: (acc[n] || 0) + 1
}), {});

// Convert each count into a percent by dividing by length of allPossibleRolls
const percents = Object.fromEntries(Object.entries(counts).map(
([sum, count]) => [sum, count / allPossibleRolls.length]));

Object.entries(percents).forEach(([k,v]) => {
console.log(${k} = ${(v * 100).toFixed(5)}%);
});

<!-- end snippet -->

Doesn't dedupe equivalent rolls like the Medium post you linked to mentions, so the rolls [1, 2] and [2, 1] and treated as separate possibilites. Not sure if that throws off the math. But this returns the same answer as AnyDice.

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  • 本文由 发表于 2023年2月8日 20:55:38
  • 转载请务必保留本文链接:https://go.coder-hub.com/75386125.html
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