turns-00041.parquet:10668
02235d47d28c4512780f8024degenerate_repetitionAbsentFinal dense release
USER
quero o método que for mais rápido e eficiente, mande tudo novamente para melhorar a performance
ASSISTANT
To achieve the best performance for checking if a string's characters all fall within a specific set, you might avoid LINQ for this particular operation, given the overhead it can introduce, especially for small sequences such as gene sequences. Instead, a straightforward loop with a character set check would typically be the most efficient.
Here's a rewritten version focusing on raw performance without using LINQ for sequence validation:
```csharp
using System;
using System.Collections.Generic;
using UnityEngine;
namespace Oxide.Plugins
{
[Info("GeneticPlanters", "Marte6", "1.0.1")]
[Description("GeneticPlanters")]
public class GeneticPlanters : RustPlugin
{
private const ulong DefaultSkinId = 3356325030;
private readonly Dictionary<string, ulong> GeneToSkinMapping = new Dictionary<string, ulong>
{
{ "GGGYYY", 3356325030 },
{ "YYYGGG", 1234567890 },
{ "YYGGGG", 9876543210 },
{ "GGYYYY", 1928374650 },
};
private readonly Dictionary<ulong, string> SkinToGeneMapping = new Dictionary<ulong, string>();
private void Init()
{
foreach (var entry in GeneToSkinMapping)
{
SkinToGeneMapping[entry.Value] = entry.Key;
}
}
[ChatCommand("plant")]
private void GivePlanter(BasePlayer player, string command, string[] args)
{
if (args.Length == 0 || !GeneToSkinMapping.TryGetValue(args[0], out ulong skinId))
{
player.ChatMessage("Por favor, forneça uma sequência de genes válida. Exemplos: GGGYYY, YYYGGG, YYGGGG, GGYYYY.");
return;
}
string geneSequence = args[0];
var planterItem = ItemManager.CreateByItemID(1581210395, 1, skinId);
planterItem.name = $"Planter {geneSequence}";
player.inventory.GiveItem(planterItem);
player.ChatMessage($"Você recebeu um planter com genes {geneSequence} e skin {skinId}.");
}
private void OnEntityBuilt(Planner planner, GameObject gameObject)
{
var growable = GetGrowableEntity(planner, gameObject);
if (growable != null)
{
var activeItem = planner?.GetOwnerPlayer()?.GetActiveItem();
if (activeItem != null && SkinToGeneMapping.TryGetValue(activeItem.skin, out string geneSequence))
{
if (IsValidGeneSequence(geneSequence))
{
SetGenes(growable, geneSequence);
}
else
{
PrintWarning($"Invalid gene sequence for skin ID: {activeItem.skin}");
}
}
else
{
PrintWarning("Missing or invalid active item with known skin.");
}
}
}
private GrowableEntity GetGrowableEntity(Planner planner, GameObject gameObject)
{
return planner?.GetOwnerPlayer()?.GetActiveItem() != null
? gameObject.ToBaseEntity() as GrowableEntity
: null;
}
private void SetGenes(GrowableEntity growable, string geneSequence)
{
if (IsValidGeneSequence(geneSequence))
{
ApplyGenes(growable, geneSequence);
}
else
{
PrintWarning($"Invalid gene sequence: {geneSequence}");
}
}
private void ApplyGenes(GrowableEntity growable, string geneSequence)
{
for (int i = 0; i < GrowableGenetics.GeneSlotCount; i++)
{
var geneType = GetGeneTypeFromChar(geneSequence[i]);
growable.Genes.Genes[i].Set(geneType);
growable.Genes.Genes[i].SetPrevious(geneType);
}
growable.SendNetworkUpdateImmediate();
}
private GrowableGenetics.GeneType GetGeneTypeFromChar(char geneChar)
{
switch (geneChar)
{
case 'G': return GrowableGenetics.GeneType.GrowthSpeed;
case 'Y': return GrowableGenetics.GeneType.Yield;
case 'W': return GrowableGenetics.GeneType.WaterRequirement;
case 'H': return GrowableGenetics.GeneType.Hardiness;
case 'X': return GrowableGenetics.GeneType.Empty;
default: return GrowableGenetics.GeneType.Empty;
}
}
private bool IsValidGeneSequence(string geneSequence)
{
if (geneSequence.Length != GrowableGenetics.GeneSlotCount)
return false;
foreach (char geneChar in geneSequence)
{
if (geneChar != 'G' && geneChar != 'Y' && geneChar != 'W' && geneChar != 'H' && geneChar != 'X')
return false;
}
return true;
}
}
}
```
### Key Points for Performance:
- **Character Checking Loop**: The `IsValidGeneSequence` method employs a simple `foreach` loop to iterate over the gene sequence, minimizing unnecessary allocations or method calls by directly comparing the characters with known valid options.
- **Switch-Case Optimization**: Uses a switch statement in `GetGeneTypeFromChar` because switch statements are often optimized in compiled code to be as efficient as possible.
- **Dictionary Lookups**: Maintains O(1) complexity for dictionary lookups, which is the most efficient for effectively resolving skin IDs to gene sequences.
This code structure keeps operations simple and efficient, especially for tasks such as validation that can be performance-sensitive due to their potential frequency and necessity in real-time applications like game servers.