mirror of
https://github.com/LorisYounger/VPet.git
synced 2024-08-30 18:42:36 +00:00
222 lines
8.7 KiB
C#
222 lines
8.7 KiB
C#
using LinePutScript.Localization.WPF;
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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 VPet_Simulator.Core;
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using static VPet_Simulator.Core.GraphHelper;
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namespace VPet_Simulator.Windows.Interface
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{
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public static class ExtensionFunction
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{
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/// <summary>
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/// 工作获取效率
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/// </summary>
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/// <param name="work">工作</param>
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/// <returns>工作获取效率</returns>
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public static double Get(this Work work)
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{
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if (work.Type == Work.WorkType.Work)
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return MathPow(Math.Abs(work.MoneyBase) * (1 + work.FinishBonus / 2) + 1, 1.25);
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else
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return MathPow((Math.Abs(work.MoneyBase) * (1 + work.FinishBonus / 2) + 1) / 10, 1.25);
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}
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/// <summary>
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/// 求幂(带符号)
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/// </summary>
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public static double MathPow(double value, double pow)
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{
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return Math.Pow(Math.Abs(value), pow) * Math.Sign(value);
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}
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/// <summary>
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/// 工作花费效率
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/// </summary>
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/// <param name="work">工作</param>
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/// <returns>工作花费效率</returns>
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public static double Spend(this Work work)
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{
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return (MathPow(work.StrengthFood, 1.5) / 3 + MathPow(work.StrengthDrink, 1.5) / 4 + MathPow(work.Feeling, 1.5) / 4 +
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work.LevelLimit / 10.0 + MathPow(work.StrengthFood + work.StrengthDrink + work.Feeling, 1.5) / 10) * 3;
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}
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/// <summary>
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/// 判断这个工作是否超模
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/// </summary>
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/// <param name="work">工作</param>
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/// <returns>是否超模</returns>
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public static bool IsOverLoad(this Work work)
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{//判断这个工作是否超模
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if (work.LevelLimit < 0)
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work.LevelLimit = 0;
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if (work.FinishBonus < 0)
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work.FinishBonus = 0;
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if (work.Type == Work.WorkType.Play && work.Feeling > 0)
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work.Feeling *= -1;//旧版本代码兼容
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if (work.Time < 10)
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work.Time = 10;
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if (work.FinishBonus > 2)
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work.FinishBonus = 2;
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var spend = work.Spend();
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var get = work.Get();
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var rel = get / spend;
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if (rel < 0)
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return true;
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var lvlimit = 1.1 * work.LevelLimit + 10;
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if (work.Type != Work.WorkType.Work)
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lvlimit *= 10;
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if (Math.Abs(work.MoneyBase) > lvlimit) //等级获取速率限制
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return true;
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return rel > 1.4; // 推荐rel为1左右 超过1.3就是超模
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}
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/// <summary>
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/// 数值梯度下降法 修复超模工作
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/// </summary>
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/// <param name="work"></param>
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public static void FixOverLoad(this Work work)
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{
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// 设置梯度下降的步长和最大迭代次数
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double stepSize = 0.01;
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int maxIterations = 100;
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if (work.LevelLimit < 0)
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work.LevelLimit = 0;
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if (work.FinishBonus < 0)
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work.FinishBonus = 0;
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if (work.Type == Work.WorkType.Play && work.Feeling > 0)
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work.Feeling *= -1;//旧版本代码兼容
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if (work.Time < 10)
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work.Time = 10;
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if (work.FinishBonus > 2)
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work.FinishBonus = 2;
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for (int i = 0; i < maxIterations; i++)
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{
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while (Math.Abs(work.Get()) > 1.1 * work.LevelLimit + 10) //等级获取速率限制
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{
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work.MoneyBase /= 2;
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}
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// 判断是否已经合理
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if (!work.IsOverLoad())
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{
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return;
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}
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// 计算当前的Spend和Get
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double currentSpend = work.Spend();
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double currentGet = work.Get();
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// 为每个参数增加一个小的delta值，然后重新计算Spend和Get
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double delta = 0.0001;
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work.MoneyBase += delta;
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double getGradient = (work.Get() - currentGet) / delta;
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work.MoneyBase -= delta; // 还原MoneyBase的值
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work.StrengthFood += delta;
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work.StrengthDrink += delta;
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work.Feeling += delta;
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double spendGradient = (work.Spend() - currentSpend) / delta;
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// 还原所有的值
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work.StrengthFood -= delta;
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work.StrengthDrink -= delta;
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work.Feeling -= delta;
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// 根据梯度更新属性值
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work.MoneyBase += stepSize * getGradient;
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work.StrengthFood -= stepSize * spendGradient;
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work.StrengthDrink -= stepSize * spendGradient;
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work.Feeling -= stepSize * spendGradient;
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}
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// 如果仍然不合理，设定一个默认值
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if (work.IsOverLoad())
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{
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switch (work.Type)
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{
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case Work.WorkType.Play:
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work.MoneyBase = 18;
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work.StrengthFood = 1;
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work.StrengthDrink = 1.5;
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work.Feeling = -1;
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work.LevelLimit = 0;
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break;
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case Work.WorkType.Work:
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work.MoneyBase = 8;
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work.StrengthFood = 3.5;
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work.StrengthDrink = 2.5;
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work.Feeling = 1;
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work.LevelLimit = 0;
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break;
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case Work.WorkType.Study:
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work.MoneyBase = 80;
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work.StrengthFood = 2;
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work.StrengthDrink = 2;
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work.Feeling = 3;
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work.LevelLimit = 0;
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break;
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}
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}
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}
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/// <summary>
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/// 将工作的属性值翻倍
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/// </summary>
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public static Work Double(this Work work, int value)
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{
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if (value == 1) return work;
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Work w = (Work)work.Clone();
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w.MoneyBase *= value;
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w.StrengthFood *= 0.48 + 0.6 * value;
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w.StrengthDrink *= 0.48 + 0.6 * value;
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w.Feeling *= 0.48 + 0.6 * value;
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w.LevelLimit = (work.LevelLimit + 10) * value;
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return w;
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}
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public static string FoodToDescription(this IFood food)
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{
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var dic = new List<Tuple<string, double, string>>()
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{
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new Tuple<string, double, string>(LocalizeCore.Translate("经验值"), food.Exp, ValueToPlusPlus(food.Exp, 1 / 4, 5)),
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new Tuple<string, double, string>(LocalizeCore.Translate("饱腹度"),food.StrengthFood, ValueToPlusPlus(food.StrengthFood, 1 / 2, 5)) ,
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new Tuple<string, double, string>(LocalizeCore.Translate("口渴度"), food.StrengthDrink, ValueToPlusPlus(food.StrengthDrink, 1 / 2.5, 5)),
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new Tuple<string, double, string>(LocalizeCore.Translate("体力"),food.Strength, ValueToPlusPlus(food.Strength, 1 / 4, 5)),
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new Tuple<string, double, string>(LocalizeCore.Translate("心情"), food.Feeling, ValueToPlusPlus(food.Feeling, 1 / 3, 5)),
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new Tuple<string, double, string>(LocalizeCore.Translate("健康"),food.Health, ValueToPlusPlus(food.Health, 1, 5)) ,
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new Tuple<string, double, string>(LocalizeCore.Translate("好感度"),food.Likability, ValueToPlusPlus(food.Likability, 1.5, 5))
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};
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var dic2 = dic.Where(kv => kv.Item2 != 0)
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.Select(x => x.Item1 + x.Item3);
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return string.Join("\n", dic2);
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}
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/// <summary>
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/// 把值变成++
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/// </summary>
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/// <param name="value">值</param>
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/// <param name="magnification">倍率</param>
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/// <returns></returns>
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public static string ValueToPlusPlus(double value, double magnification, int max = 10)
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{
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int v = (int)Math.Abs(value);
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v = (int)(Math.Pow(v, magnification));
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v = Math.Min(Math.Max(v, 0), max);
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if (value < 0)
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return new string('-', v);
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else
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return new string('+', v);
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}
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}
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public static partial class ExtensionValue
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{
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/// <summary>
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/// 当前运行目录
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/// </summary>
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public static string BaseDirectory = new FileInfo(System.Reflection.Assembly.GetExecutingAssembly().Location).DirectoryName;
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}
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}
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