PKHeX/PKHeX.Core/Legality/LearnSource/Group/LearnGroupUtil.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;
using static PKHeX.Core.EntityContext;
namespace PKHeX.Core;
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/// <summary>
/// Logic for fetching a specific <see cref="ILearnGroup"/>.
/// </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 static class LearnGroupUtil
{
/// <summary>
/// Get the <see cref="ILearnGroup"/> for the given <see cref="PKM"/>.
/// </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 static ILearnGroup GetCurrentGroup(PKM pk) => GetCurrentGroup(pk.Context);
/// <summary>
/// Get the <see cref="ILearnGroup"/> for the given <see cref="EntityContext"/>.
/// </summary>
/// <param name="context">Context to get the <see cref="ILearnGroup"/> for.</param>
/// <exception cref="ArgumentOutOfRangeException"></exception>
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 static ILearnGroup GetCurrentGroup(EntityContext context) => context switch
{
Gen1 => LearnGroup1.Instance,
Gen2 => LearnGroup2.Instance,
Gen3 => LearnGroup3.Instance,
Gen4 => LearnGroup4.Instance,
Gen5 => LearnGroup5.Instance,
Gen6 => LearnGroup6.Instance,
Gen7 => LearnGroup7.Instance,
Gen8 => LearnGroup8.Instance,
Gen9 => LearnGroup9.Instance,
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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Gen7b => LearnGroup7b.Instance,
Gen8a => LearnGroup8a.Instance,
Gen8b => LearnGroup8b.Instance,
_ => throw new ArgumentOutOfRangeException(nameof(context), context, null),
};
}