UNFINISHED Implemented procedural dice generation. Way too hard

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Max 2025-02-17 16:51:45 +01:00
parent ea1ca7a0cd
commit 03f0f7859e
43 changed files with 13909 additions and 57 deletions

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using DiceProbabilities;
Console.WriteLine(DiceRollProbability.RollFourPickTwoPickTwoAgainOdds());

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using System;
using System.Collections.Generic;
using System.Text;
namespace DiceProbabilities
{
public static class RollFourSumTwo
{
public static readonly Dictionary<string, float> ResultOddsmapping = new Dictionary<string, float>()
{
{"=", .6296f },
{"2", .1319f},
{"3", .2330f},
{"4", 3557f},
{"5", .4475f},
{"6", .5610f},
{"7", .6435f},
{"8", .5610f},
{"9", .4475f},
{"10", .3557f},
{"11", .2340f},
{"12", .1319f}
};
public static float GetProbalityOfAtleastOneUnlocking(List<string> options)
{
float probabilityNoDiceWillSumToLocks = 1;
foreach (var option in options)
{
if (ResultOddsmapping.TryGetValue(option, out var value))
{
probabilityNoDiceWillSumToLocks *= (1 - value);
}
else
{
throw new ArgumentException($"{option} is not a valid result for the sum of two dice.");
}
}
return 1 - probabilityNoDiceWillSumToLocks;
}
public static string RollFourPickTwoPickTwoAgainOdds()
{
// Total number of rolls (6^4 = 1296 possible outcomes)
int possibleDiceCombosCount = 0;
// Counter for the possible sums
Dictionary<(string, string), int> selectionsCounts = new Dictionary<(string, string), int>();
double diceEqualCount = 0;
// Generate all possible rolls of 4 dice
for (int d1 = 1; d1 <= 6; d1++)
{
for (int d2 = 1; d2 <= 6; d2++)
{
for (int d3 = 1; d3 <= 6; d3++)
{
for (int d4 = 1; d4 <= 6; d4++)
{
// Get all possible pairs of dice
var possibleDiceSlections = new List<((int, int), (int, int))>
{
((d1, d2), (d3, d4)), ((d1, d3), (d2, d4)), ((d1, d4), (d2, d3)),
((d2, d3), (d1, d4)), ((d2, d4), (d1, d3)),
((d3, d4), (d1, d2))
};
foreach (((int, int), (int, int)) selections in possibleDiceSlections)
{
possibleDiceCombosCount++;
var firstSelection = selections.Item1;
var secondSelection = selections.Item2;
string firstSelectionResult;
string secondSelectionResult;
if (firstSelection.Item1 == firstSelection.Item2)
{
firstSelectionResult = "=";
if (secondSelection.Item1 == secondSelection.Item2)
{
secondSelectionResult = "=";
IncrementSelectionsCounts(selectionsCounts, (firstSelectionResult, secondSelectionResult));
}
secondSelectionResult = (secondSelection.Item1 + secondSelection.Item2).ToString();
IncrementSelectionsCounts(selectionsCounts, (firstSelectionResult, secondSelectionResult));
}
firstSelectionResult = (firstSelection.Item1 + firstSelection.Item2).ToString();
if (secondSelection.Item1 == secondSelection.Item2)
{
secondSelectionResult = "=";
IncrementSelectionsCounts(selectionsCounts, (firstSelectionResult, secondSelectionResult));
}
secondSelectionResult = (secondSelection.Item1 + secondSelection.Item2).ToString();
IncrementSelectionsCounts(selectionsCounts, (firstSelectionResult, secondSelectionResult));
}
}
}
}
}
StringBuilder sb = new StringBuilder();
sb.Append("Sum\tProbability (%)" + Environment.NewLine);
// sb.Append($"=\t{diceEqualCount / possibleDiceCombosCount * 100:F2}%{Environment.NewLine}");
foreach (var selections in selectionsCounts.Keys)
{
double probability = (double)selectionsCounts[selections] / possibleDiceCombosCount * 100;
sb.Append($"{selections}\t{probability:F2}%{Environment.NewLine}");
}
return sb.ToString();
}
private static void IncrementSelectionsCounts(Dictionary<(string, string), int> dict, (string, string) key)
{
if (!dict.ContainsKey(key))
{
dict[key] = 0;
}
dict[key]++;
}
}
}

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Sum Probability (%)
= 62.96%
2 13.19%
3 23.30%
4 35.57%
5 44.75%
6 56.10%
7 64.35%
8 56.10%
9 44.75%
10 35.57%
11 23.40%
12 13.19%

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Sum Probability (%)
(=, =) 2.78%
(=, 2) 0.46%
(2, =) 0.46%
(2, 2) 0.08%
(=, 3) 0.93%
(2, 3) 0.15%
(3, =) 0.93%
(3, 2) 0.15%
(=, 4) 1.39%
(2, 4) 0.23%
(4, =) 1.39%
(4, 2) 0.23%
(=, 5) 1.85%
(2, 5) 0.31%
(5, =) 1.85%
(5, 2) 0.31%
(=, 6) 2.31%
(2, 6) 0.39%
(6, =) 2.31%
(6, 2) 0.39%
(=, 7) 2.78%
(2, 7) 0.46%
(7, =) 2.78%
(7, 2) 0.46%
(3, 3) 0.31%
(3, 4) 0.46%
(4, 3) 0.46%
(3, 5) 0.62%
(5, 3) 0.62%
(3, 6) 0.77%
(6, 3) 0.77%
(=, 8) 2.31%
(2, 8) 0.39%
(3, 7) 0.93%
(7, 3) 0.93%
(8, =) 2.31%
(8, 2) 0.39%
(4, 4) 0.69%
(4, 5) 0.93%
(5, 4) 0.93%
(4, 6) 1.16%
(6, 4) 1.16%
(=, 9) 1.85%
(2, 9) 0.31%
(4, 7) 1.39%
(7, 4) 1.39%
(9, =) 1.85%
(9, 2) 0.31%
(5, 5) 1.23%
(5, 6) 1.54%
(6, 5) 1.54%
(=, 10) 1.39%
(2, 10) 0.23%
(5, 7) 1.85%
(7, 5) 1.85%
(10, =) 1.39%
(10, 2) 0.23%
(6, 6) 1.93%
(=, 11) 0.93%
(2, 11) 0.15%
(6, 7) 2.31%
(7, 6) 2.31%
(11, =) 0.93%
(11, 2) 0.15%
(=, 12) 0.46%
(2, 12) 0.08%
(7, 7) 2.78%
(12, =) 0.46%
(12, 2) 0.08%
(3, 8) 0.77%
(8, 3) 0.77%
(3, 9) 0.62%
(4, 8) 1.16%
(8, 4) 1.16%
(9, 3) 0.62%
(3, 10) 0.46%
(5, 8) 1.54%
(8, 5) 1.54%
(10, 3) 0.46%
(3, 11) 0.31%
(6, 8) 1.93%
(8, 6) 1.93%
(11, 3) 0.31%
(3, 12) 0.15%
(7, 8) 2.31%
(8, 7) 2.31%
(12, 3) 0.15%
(4, 9) 0.93%
(9, 4) 0.93%
(4, 10) 0.69%
(5, 9) 1.23%
(9, 5) 1.23%
(10, 4) 0.69%
(4, 11) 0.46%
(6, 9) 1.54%
(9, 6) 1.54%
(11, 4) 0.46%
(4, 12) 0.23%
(7, 9) 1.85%
(9, 7) 1.85%
(12, 4) 0.23%
(5, 10) 0.93%
(10, 5) 0.93%
(5, 11) 0.62%
(6, 10) 1.16%
(10, 6) 1.16%
(11, 5) 0.62%
(5, 12) 0.31%
(7, 10) 1.39%
(10, 7) 1.39%
(12, 5) 0.31%
(6, 11) 0.77%
(11, 6) 0.77%
(6, 12) 0.39%
(7, 11) 0.93%
(11, 7) 0.93%
(12, 6) 0.39%
(7, 12) 0.46%
(12, 7) 0.46%
(8, 8) 1.93%
(8, 9) 1.54%
(9, 8) 1.54%
(8, 10) 1.16%
(10, 8) 1.16%
(8, 11) 0.77%
(11, 8) 0.77%
(8, 12) 0.39%
(12, 8) 0.39%
(9, 9) 1.23%
(9, 10) 0.93%
(10, 9) 0.93%
(9, 11) 0.62%
(11, 9) 0.62%
(9, 12) 0.31%
(12, 9) 0.31%
(10, 10) 0.69%
(10, 11) 0.46%
(11, 10) 0.46%
(10, 12) 0.23%
(12, 10) 0.23%
(11, 11) 0.31%
(11, 12) 0.15%
(12, 11) 0.15%
(12, 12) 0.08%