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File scoped namespaces for all lib projects netstandard2.0 => net6; now uniform. bye netframework!
455 lines
14 KiB
C#
455 lines
14 KiB
C#
using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using pkNX.Structures;
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namespace pkNX.Randomization;
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public class PersonalRandomizer : Randomizer
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{
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private const int tmcount = 100;
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private const int eggGroupCount = 16;
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private const int TypeCount = 18;
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private readonly GameInfo Game;
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private readonly IPersonalTable Table;
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private readonly EvolutionSet[] Evolutions;
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public PersonalRandSettings Settings { get; set; } = new();
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public PersonalRandomizer(IPersonalTable table, GameInfo game, EvolutionSet[] evolutions)
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{
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Game = game;
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Table = table;
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Evolutions = evolutions;
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if (File.Exists("bannedabilites.txt"))
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{
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var data = File.ReadAllLines("bannedabilities.txt");
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var list = new List<int>(BannedAbilities);
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list.AddRange(data.Select(z => Convert.ToInt32(z)));
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BannedAbilities = list;
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}
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}
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public override void Execute()
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{
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if (Settings.ModifyByEvolutions)
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RandomizeChains();
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else
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RandomizeAllSpecies();
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}
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private void RandomizeAllSpecies()
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{
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for (ushort species = 0; species <= Game.MaxSpeciesID; species++)
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RandomizeSpecies(species);
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}
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private bool[] processed = Array.Empty<bool>();
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private void RandomizeChains()
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{
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processed = new bool[Table.Table.Length];
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for (ushort species = 0; species <= Game.MaxSpeciesID; species++)
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{
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for (byte f = 0; f <= Table[species].FormCount; f++)
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RandomizeChain(species, f);
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}
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}
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private bool AlreadyProcessed(int index)
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{
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var p = processed;
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if (p.Length <= index)
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return false;
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if (p[index])
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return true;
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p[index] = true;
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return false;
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}
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private void RandomizeChain(ushort species, byte form)
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{
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var index = Table.GetFormIndex(species, form);
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if (AlreadyProcessed(index))
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return;
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processed[index] = true;
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var entry = Table[index];
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Randomize(entry, species);
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ProcessEvolutions(species, form, index);
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}
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private void ProcessEvolutions(int species, int form, int devolvedIndex)
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{
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var evoindex = GetEvolutionEntry((ushort)species, (byte)form);
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var evos = Evolutions[evoindex];
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if (evos.PossibleEvolutions.Length == 1)
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{
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var evo = evos.PossibleEvolutions[0];
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var ei = Table.GetFormIndex(evo.Species, evo.Form);
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if (AlreadyProcessed(ei))
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return;
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RandomizeSingleChain(evo, devolvedIndex);
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ProcessEvolutions(evo.Species, evo.Form, ei);
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}
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else
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{
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foreach (var evo in evos.PossibleEvolutions)
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{
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var ei = Table.GetFormIndex(evo.Species, evo.Form);
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if (AlreadyProcessed(ei))
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return;
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RandomizeSplitChain(evo, devolvedIndex);
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ProcessEvolutions(evo.Species, evo.Form, ei);
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}
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}
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}
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private void RandomizeSingleChain(EvolutionMethod evo, int devolvedIndex)
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{
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var child = Table[devolvedIndex];
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var z = Table.GetFormEntry(evo.Species, evo.Form);
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RandomizeFrom(z, child, evo.Species);
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}
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private void RandomizeSplitChain(EvolutionMethod evo, int devolvedIndex)
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{
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var child = Table[devolvedIndex];
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var z = Table.GetFormEntry(evo.Species, evo.Form);
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RandomizeFrom(z, child, evo.Species);
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}
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private int GetEvolutionEntry(ushort species, byte form)
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{
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if (Game.Generation < 7)
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return species;
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return Table.GetFormIndex(species, form);
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}
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private void RandomizeSpecies(ushort species)
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{
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var entry = Table[species];
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Randomize(entry, species);
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var formCount = entry.FormCount;
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for (byte form = 1; form <= formCount; form++)
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{
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entry = Table.GetFormEntry(species, form);
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Randomize(entry, species);
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}
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}
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public void RandomizeFrom(IPersonalInfo z, IPersonalInfo child, int species)
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{
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if (Settings.ModifyStats)
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RandomizeStats(z);
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if (Settings.ShuffleStats)
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RandomShuffledStats(z);
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if (Settings.ModifyTypes)
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{
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if (Settings.InheritType && Settings.InheritTypeSetting != ModifyState.All)
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{
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switch (Settings.InheritTypeSetting)
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{
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case ModifyState.Shared:
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default:
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z.Type1 = child.Type1;
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z.Type2 = child.Type2;
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break;
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case ModifyState.Two when Rand.Next(100) < Settings.InheritTypeOnlyOneChance:
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case ModifyState.One when Rand.Next(100) < Settings.InheritTypeOnlyOneChance:
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switch (Rand.Next(2))
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{
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case 0:
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z.Type1 = (Types)GetRandomType();
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z.Type2 = child.Type2;
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break;
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case 1:
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z.Type1 = child.Type1;
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z.Type2 = (Types)GetRandomType();
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break;
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}
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break;
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case ModifyState.Two when Rand.Next(100) < Settings.InheritTypeNeitherChance:
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RandomizeTypes(z);
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break;
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}
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}
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else
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{
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RandomizeTypes(z);
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}
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}
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if (Settings.ModifyAbility)
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{
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if (Settings.InheritAbility)
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{
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Span<int> abils = stackalloc int[3];
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child.GetAbilities(abils);
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GetRandomAbilities(abils, Settings.InheritAbilitySetting);
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z.SetAbilities(abils);
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}
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else
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{
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RandomizeAbilities(z);
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}
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}
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if (z is IMovesInfo_1 mi)
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{
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if (Settings.ModifyLearnsetTM || Settings.ModifyLearnsetHM)
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{
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if (Settings.InheritChildTM)
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mi.TMHM = ((IMovesInfo_1)child).TMHM;
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else
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RandomizeTMHM(mi);
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}
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if (Settings.ModifyLearnsetTypeTutors)
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{
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if (Settings.InheritChildSpecial)
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mi.TypeTutors = ((IMovesInfo_1)child).TypeTutors;
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else
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RandomizeTypeTutors(mi, species);
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}
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}
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if (Settings.ModifyLearnsetMoveTutors && z is IMovesInfo_2 mi2)
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{
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if (Settings.InheritChildTutor)
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mi2.SpecialTutors = ((IMovesInfo_2)child).SpecialTutors;
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else
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RandomizeSpecialTutors(mi2);
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}
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if (Settings.ModifyEgg)
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{
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z.EggGroup1 = child.EggGroup1;
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z.EggGroup2 = child.EggGroup2;
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}
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if (Settings.ModifyHeldItems)
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{
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if (Settings.InheritHeldItem)
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{
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z.Item1 = child.Item1;
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z.Item2 = child.Item2;
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z.Item3 = child.Item3;
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}
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else
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{
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RandomizeHeldItems(z);
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}
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}
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ExecuteCatchRate(z);
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}
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private void GetRandomAbilities(Span<int> abils, ModifyState setting)
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{
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switch (setting)
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{
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case ModifyState.Shared:
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return;
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case ModifyState.Two when Rand.Next(100) < Settings.InheritAbilityNeitherChance:
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GetRandomAbilities(abils, 1);
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break;
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case ModifyState.Two when Rand.Next(100) < Settings.InheritAbilityOnlyOneChance:
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case ModifyState.One when Rand.Next(100) < Settings.InheritAbilityOnlyOneChance:
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GetRandomAbilities(abils, 2);
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break;
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case ModifyState.All:
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GetRandomAbilities(abils);
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if (Rand.Next(100) < Settings.SameAbilityChance)
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{
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int index = Rand.Next(2);
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abils[index ^ 1] = abils[index];
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}
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break;
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}
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}
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public void Randomize(IPersonalInfo z, int species)
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{
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if (Settings.ModifyStats)
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RandomizeStats(z);
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if (Settings.ShuffleStats)
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RandomShuffledStats(z);
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if (Settings.ModifyTypes)
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RandomizeTypes(z);
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if (Settings.ModifyAbility)
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RandomizeAbilities(z);
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if (z is IMovesInfo_1 mi)
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{
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if (Settings.ModifyLearnsetTM || Settings.ModifyLearnsetHM)
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RandomizeTMHM(mi);
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if (Settings.ModifyLearnsetTypeTutors)
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RandomizeTypeTutors(mi, species);
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}
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if (Settings.ModifyLearnsetMoveTutors && z is IMovesInfo_2 mi2)
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RandomizeSpecialTutors(mi2);
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if (Settings.ModifyEgg)
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RandomizeEggGroups(z);
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if (Settings.ModifyHeldItems)
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RandomizeHeldItems(z);
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ExecuteCatchRate(z);
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}
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private void ExecuteCatchRate(IPersonalInfo z)
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{
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if (Settings.CatchRate == CatchRate.Random)
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z.CatchRate = Rand.Next(3, 251); // Random Catch Rate between 3 and 250.
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else if (Settings.CatchRate == CatchRate.BSTScaled)
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z.CatchRate = GetBSTCatchRate(z.GetBaseStatTotal());
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}
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private static int GetBSTCatchRate(int BST)
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{
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var c = 11 * (Math.Sqrt(Math.Max(0, 600 - BST)));
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const int min = 3;
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return (int)Math.Min(255, min + c);
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}
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private void RandomizeTMHM(IMovesInfo_1 z)
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{
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var tms = z.TMHM;
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if (Settings.ModifyLearnsetTM)
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{
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for (int j = 0; j < tmcount; j++)
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tms[j] = Rand.Next(100) < Settings.LearnTMPercent;
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}
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if (Settings.ModifyLearnsetHM)
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{
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for (int j = tmcount; j < tms.Length; j++)
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tms[j] = Rand.Next(100) < Settings.LearnTMPercent;
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}
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z.TMHM = tms;
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}
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private void RandomizeTypeTutors(IMovesInfo_1 z, int species)
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{
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var t = z.TypeTutors;
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for (int i = 0; i < t.Length; i++)
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t[i] = Rand.Next(100) < Settings.LearnTypeTutorPercent;
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// Make sure Rayquaza can learn Dragon Ascent.
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if (!Game.XY && species == (int)Species.Rayquaza)
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t[7] = true;
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z.TypeTutors = t;
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}
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private void RandomizeSpecialTutors(IMovesInfo_2 z)
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{
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var tutors = z.SpecialTutors;
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foreach (bool[] tutor in tutors)
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{
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for (int i = 0; i < tutor.Length; i++)
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tutor[i] = Rand.Next(100) < Settings.LearnMoveTutorPercent;
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}
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z.SpecialTutors = tutors;
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}
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private void RandomizeAbilities(IPersonalAbility z)
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{
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Span<int> abils = stackalloc int[3];
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z.GetAbilities(abils);
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GetRandomAbilities(abils, Settings.Ability);
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z.SetAbilities(abils);
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}
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private void GetRandomAbilities(Span<int> abils, int skip = 0)
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{
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for (int i = 0; i < abils.Length - skip; i++)
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abils[i] = GetRandomAbility();
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}
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private void RandomizeEggGroups(IPersonalEgg z)
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{
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z.EggGroup1 = GetRandomEggGroup();
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z.EggGroup2 = Rand.Next(100) < Settings.SameEggGroupChance ? z.EggGroup1 : GetRandomEggGroup();
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}
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private void RandomizeHeldItems(IPersonalItems z)
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{
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for (int j = 0; j < z.GetNumItems(); j++)
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z.SetItemAtIndex(j, GetRandomHeldItem());
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}
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private void RandomizeTypes(IPersonalType z)
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{
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z.Type1 = (Types)GetRandomType();
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z.Type2 = Rand.Next(0, 100) < Settings.SameTypeChance ? z.Type1 : (Types)GetRandomType();
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}
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private void RandomizeStats(IBaseStat z)
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{
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// Fiddle with Base Stats, don't muck with Shedinja.
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if (z.GetBaseStatValue(0) == 1)
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return;
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int RandDeviation() => Rand.Next(Settings.StatDeviationMin, Settings.StatDeviationMax);
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for (int i = 0; i < z.GetNumBaseStats(); i++)
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{
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if (!Settings.StatsToRandomize[i])
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continue;
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var val = z.GetBaseStatValue(i) * RandDeviation() / 100;
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z.SetBaseStatValue(i, Math.Max(1, Math.Min(255, val)));
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}
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}
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private static void RandomShuffledStats(IBaseStat z)
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{
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// Fiddle with Base Stats, don't muck with Shedinja.
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if (z.GetBaseStatValue(0) == 1)
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return;
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var stats = new int[z.GetNumBaseStats()];
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for (int i = 0; i < z.GetNumBaseStats(); i++)
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stats[i] = z.GetBaseStatValue(i);
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Util.Shuffle(stats);
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for (int i = 0; i < z.GetNumBaseStats(); i++)
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z.SetBaseStatValue(i, stats[i]);
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}
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private int GetRandomType() => Rand.Next(0, TypeCount);
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private int GetRandomEggGroup() => Rand.Next(1, eggGroupCount);
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private int GetRandomHeldItem() => Game.HeldItems.Length > 1 ? Game.HeldItems[Rand.Next(1, Game.HeldItems.Length)] : 0;
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private readonly IList<int> BannedAbilities = Array.Empty<int>();
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private int GetRandomAbility()
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{
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const int WonderGuard = 25;
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while (true)
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{
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int newabil = Rand.Next(1, Game.MaxAbilityID + 1);
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if (newabil == WonderGuard && Settings.WonderGuard == Permissive.No)
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continue;
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if (BannedAbilities.Contains(newabil))
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continue;
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return newabil;
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}
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}
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}
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