PKHeX/PKHeX.Core/PersonalInfo/Table/PersonalTable1.cs

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Refactoring: Move Source (Legality) (#3560) Rewrites a good amount of legality APIs pertaining to: * Legal moves that can be learned * Evolution chains & cross-generation paths * Memory validation with forgotten moves In generation 8, there are 3 separate contexts an entity can exist in: SW/SH, BD/SP, and LA. Not every entity can cross between them, and not every entity from generation 7 can exist in generation 8 (Gogoat, etc). By creating class models representing the restrictions to cross each boundary, we are able to better track and validate data. The old implementation of validating moves was greedy: it would iterate for all generations and evolutions, and build a full list of every move that can be learned, storing it on the heap. Now, we check one game group at a time to see if the entity can learn a move that hasn't yet been validated. End result is an algorithm that requires 0 allocation, and a smaller/quicker search space. The old implementation of storing move parses was inefficient; for each move that was parsed, a new object is created and adjusted depending on the parse. Now, move parse results are `struct` and store the move parse contiguously in memory. End result is faster parsing and 0 memory allocation. * `PersonalTable` objects have been improved with new API methods to check if a species+form can exist in the game. * `IEncounterTemplate` objects have been improved to indicate the `EntityContext` they originate in (similar to `Generation`). * Some APIs have been extended to accept `Span<T>` instead of Array/IEnumerable
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using System;
namespace PKHeX.Core;
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/// <summary>
/// Personal Table storing <see cref="PersonalInfo1"/> used in Generation 1 games.
/// </summary>
Refactoring: Move Source (Legality) (#3560) Rewrites a good amount of legality APIs pertaining to: * Legal moves that can be learned * Evolution chains & cross-generation paths * Memory validation with forgotten moves In generation 8, there are 3 separate contexts an entity can exist in: SW/SH, BD/SP, and LA. Not every entity can cross between them, and not every entity from generation 7 can exist in generation 8 (Gogoat, etc). By creating class models representing the restrictions to cross each boundary, we are able to better track and validate data. The old implementation of validating moves was greedy: it would iterate for all generations and evolutions, and build a full list of every move that can be learned, storing it on the heap. Now, we check one game group at a time to see if the entity can learn a move that hasn't yet been validated. End result is an algorithm that requires 0 allocation, and a smaller/quicker search space. The old implementation of storing move parses was inefficient; for each move that was parsed, a new object is created and adjusted depending on the parse. Now, move parse results are `struct` and store the move parse contiguously in memory. End result is faster parsing and 0 memory allocation. * `PersonalTable` objects have been improved with new API methods to check if a species+form can exist in the game. * `IEncounterTemplate` objects have been improved to indicate the `EntityContext` they originate in (similar to `Generation`). * Some APIs have been extended to accept `Span<T>` instead of Array/IEnumerable
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public sealed class PersonalTable1 : IPersonalTable, IPersonalTable<PersonalInfo1>
{
private readonly PersonalInfo1[] Table;
private const int SIZE = PersonalInfo1.SIZE;
private const int MaxSpecies = Legal.MaxSpeciesID_1;
public int MaxSpeciesID => MaxSpecies;
public PersonalTable1(ReadOnlySpan<byte> data)
{
Table = new PersonalInfo1[data.Length / SIZE];
var count = data.Length / SIZE;
for (int i = 0, ofs = 0; i < count; i++, ofs += SIZE)
{
var slice = data.Slice(ofs, SIZE).ToArray();
Table[i] = new PersonalInfo1(slice);
}
}
public PersonalInfo1 this[int index] => Table[(uint)index < Table.Length ? index : 0];
public PersonalInfo1 this[ushort species, int form] => Table[GetFormIndex(species, form)];
public PersonalInfo1 GetFormEntry(ushort species, int form) => Table[GetFormIndex(species, form)];
Refactoring: Move Source (Legality) (#3560) Rewrites a good amount of legality APIs pertaining to: * Legal moves that can be learned * Evolution chains & cross-generation paths * Memory validation with forgotten moves In generation 8, there are 3 separate contexts an entity can exist in: SW/SH, BD/SP, and LA. Not every entity can cross between them, and not every entity from generation 7 can exist in generation 8 (Gogoat, etc). By creating class models representing the restrictions to cross each boundary, we are able to better track and validate data. The old implementation of validating moves was greedy: it would iterate for all generations and evolutions, and build a full list of every move that can be learned, storing it on the heap. Now, we check one game group at a time to see if the entity can learn a move that hasn't yet been validated. End result is an algorithm that requires 0 allocation, and a smaller/quicker search space. The old implementation of storing move parses was inefficient; for each move that was parsed, a new object is created and adjusted depending on the parse. Now, move parse results are `struct` and store the move parse contiguously in memory. End result is faster parsing and 0 memory allocation. * `PersonalTable` objects have been improved with new API methods to check if a species+form can exist in the game. * `IEncounterTemplate` objects have been improved to indicate the `EntityContext` they originate in (similar to `Generation`). * Some APIs have been extended to accept `Span<T>` instead of Array/IEnumerable
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public int GetFormIndex(ushort species, int form) => IsSpeciesInGame(species) ? species : 0;
public bool IsSpeciesInGame(ushort species) => (uint)species <= MaxSpecies;
public bool IsPresentInGame(ushort species, int form) => form == 0 && IsSpeciesInGame(species);
Refactoring: Move Source (Legality) (#3560) Rewrites a good amount of legality APIs pertaining to: * Legal moves that can be learned * Evolution chains & cross-generation paths * Memory validation with forgotten moves In generation 8, there are 3 separate contexts an entity can exist in: SW/SH, BD/SP, and LA. Not every entity can cross between them, and not every entity from generation 7 can exist in generation 8 (Gogoat, etc). By creating class models representing the restrictions to cross each boundary, we are able to better track and validate data. The old implementation of validating moves was greedy: it would iterate for all generations and evolutions, and build a full list of every move that can be learned, storing it on the heap. Now, we check one game group at a time to see if the entity can learn a move that hasn't yet been validated. End result is an algorithm that requires 0 allocation, and a smaller/quicker search space. The old implementation of storing move parses was inefficient; for each move that was parsed, a new object is created and adjusted depending on the parse. Now, move parse results are `struct` and store the move parse contiguously in memory. End result is faster parsing and 0 memory allocation. * `PersonalTable` objects have been improved with new API methods to check if a species+form can exist in the game. * `IEncounterTemplate` objects have been improved to indicate the `EntityContext` they originate in (similar to `Generation`). * Some APIs have been extended to accept `Span<T>` instead of Array/IEnumerable
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PersonalInfo IPersonalTable.this[int index] => this[index];
PersonalInfo IPersonalTable.this[ushort species, int form] => this[species, form];
PersonalInfo IPersonalTable.GetFormEntry(ushort species, int form) => GetFormEntry(species, form);
Refactoring: Move Source (Legality) (#3560) Rewrites a good amount of legality APIs pertaining to: * Legal moves that can be learned * Evolution chains & cross-generation paths * Memory validation with forgotten moves In generation 8, there are 3 separate contexts an entity can exist in: SW/SH, BD/SP, and LA. Not every entity can cross between them, and not every entity from generation 7 can exist in generation 8 (Gogoat, etc). By creating class models representing the restrictions to cross each boundary, we are able to better track and validate data. The old implementation of validating moves was greedy: it would iterate for all generations and evolutions, and build a full list of every move that can be learned, storing it on the heap. Now, we check one game group at a time to see if the entity can learn a move that hasn't yet been validated. End result is an algorithm that requires 0 allocation, and a smaller/quicker search space. The old implementation of storing move parses was inefficient; for each move that was parsed, a new object is created and adjusted depending on the parse. Now, move parse results are `struct` and store the move parse contiguously in memory. End result is faster parsing and 0 memory allocation. * `PersonalTable` objects have been improved with new API methods to check if a species+form can exist in the game. * `IEncounterTemplate` objects have been improved to indicate the `EntityContext` they originate in (similar to `Generation`). * Some APIs have been extended to accept `Span<T>` instead of Array/IEnumerable
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public void LoadValuesFrom(PersonalInfo2[] data)
{
for (int i = MaxSpecies; i >= 0; i--)
Table[i].Gender = data[i].Gender;
}
/// <summary>
/// Checks to see if either of the input type combinations exist in the table.
/// </summary>
/// <remarks>Only useful for checking Generation 1 <see cref="PK1.Type_A"/> and <see cref="PK1.Type_B"/> properties.</remarks>
/// <param name="type1">First type</param>
/// <param name="type2">Second type</param>
/// <returns>Indication that the combination exists in the table.</returns>
public bool IsValidTypeCombination(int type1, int type2)
{
for (int i = 1; i <= MaxSpecies; i++)
{
var pi = Table[i];
if (pi.IsValidTypeCombination(type1, type2))
return true;
}
return false;
}
}