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more columns && comparer

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This commit is contained in:
Chika 2020-10-20 17:00:46 +03:00
parent affe9fdded
commit cf8aa960d8
23 changed files with 1397 additions and 434 deletions
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20
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21
EvoCalculator.Core.Calculation/Columns/AcceptInsuranceColumn.cs Normal file
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@ -0,0 +1,21 @@
using System.Linq;
namespace EvoCalculator.Core.Calculation.Columns
{
public class AcceptInsuranceColumn : BaseColumn<double>
{
public AcceptInsuranceColumn(int count) : base(count)
{
}
public void ComputeValues(AcceptKaskoColumn acceptKaskoColumn, AcceptOsagoColumn acceptOsagoColumn)
{
for (var i = 1; i < Values.Length; i++)
{
Values[i] = acceptKaskoColumn.Values[i] + acceptOsagoColumn.Values[i];
}
Values[0] = Values.Skip(1).Sum(x => x);
}
}
}

22
EvoCalculator.Core.Calculation/Columns/AcceptKaskoColumn.cs Normal file
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@ -0,0 +1,22 @@
using System.Linq;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
namespace EvoCalculator.Core.Calculation.Columns
{
public class AcceptKaskoColumn : BaseColumn<double>
{
public AcceptKaskoColumn(int count) : base(count)
{
}
public void ComputeValues(PreparedValues preparedValues)
{
Values[1] = 0;
for (var i = 2; i < Values.Length; i++)
{
Values[i] = preparedValues.InsuranceKaskoNmper / (preparedValues.Nmper - 1);
}
Values[0] = Values.Skip(1).Sum(x => x);
}
}
}

22
EvoCalculator.Core.Calculation/Columns/AcceptOsagoColumn.cs Normal file
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@ -0,0 +1,22 @@
using System.Linq;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
namespace EvoCalculator.Core.Calculation.Columns
{
public class AcceptOsagoColumn : BaseColumn<double>
{
public AcceptOsagoColumn(int count) : base(count)
{
}
public void ComputeValues(PreparedValues preparedValues)
{
for (var i = 0; i < Values.Length; i++)
{
Values[i] = i > 1 && i <= 12 ? preparedValues.InsuranceOsago / 11 : 0;
}
Values[0] = Values.Sum(x => x);
}
}
}

27
EvoCalculator.Core.Calculation/Columns/AcceptSumColumn.cs Normal file
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@ -0,0 +1,27 @@
using System.Linq;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
namespace EvoCalculator.Core.Calculation.Columns
{
public class AcceptSumColumn : BaseColumn<double>
{
public AcceptSumColumn(int count) : base(count)
{
}
public void ComputeValues(
PreparedValues preparedValues
, SumColumn sumColumn
, VATColumn vatColumn
, SumWithVATColumn sumWithVatColumn)
{
for (var i = 1; i < Values.Length; i++)
{
Values[i] = preparedValues.AcceptSum * sumColumn.Values[i] /
(sumWithVatColumn.Values[0] - vatColumn.Values[0]);
}
Values[0] = Values.Sum(x => x);
}
}
}

23
EvoCalculator.Core.Calculation/Columns/DeprecationColumn.cs Normal file
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@ -0,0 +1,23 @@
using System.Linq;
namespace EvoCalculator.Core.Calculation.Columns
{
public class DeprecationColumn : BaseColumn<double>
{
public DeprecationColumn(int count) : base(count)
{
}
public void ComputeValues(DeprecationLPColumn deprecationLpColumn, DeprecationLDColumn deprecationLdColumn)
{
for (var i = 1; i < Values.Length; i++)
{
Values[i] = i < deprecationLpColumn.Values.Length
? deprecationLpColumn.Values[i] + deprecationLdColumn.Values[i]
: 0 + deprecationLdColumn.Values[i];
}
Values[0] = Values.Skip(1).Sum(x => x);
}
}
}

32
EvoCalculator.Core.Calculation/Columns/DeprecationLDColumn.cs Normal file
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@ -0,0 +1,32 @@
using System.Linq;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
namespace EvoCalculator.Core.Calculation.Columns
{
public class DeprecationLDColumn : BaseColumn<double>
{
public DeprecationLDColumn(int count) : base(count)
{
}
public void ComputeValues(PreparedValues preparedValues)
{
Values[1] = 0;
for (var i = 2; i < Values.Length - 1; i++)
{
Values[i] = preparedValues.BalanceHolder == 100000001
? preparedValues.DeprecationTime *
(preparedValues.AcceptSum - Values.Skip(2).Take(i - 1).Sum(x => x)) / 100
: 0;
}
Values[^1] = preparedValues.BalanceHolder == 100000001
? preparedValues.AcceptSum - Values.Skip(2)
.Take(Values.Length - 1)
.Sum(x => x)
: 0;
Values[0] = Values.Skip(1).Sum(x => x);
}
}
}

22
EvoCalculator.Core.Calculation/Columns/DeprecationLPColumn.cs Normal file
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@ -0,0 +1,22 @@
using System.Linq;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
namespace EvoCalculator.Core.Calculation.Columns
{
public class DeprecationLPColumn : BaseColumn<double>
{
public DeprecationLPColumn(int count) : base(count)
{
}
public void ComputeValues(PreparedValues preparedValues, AcceptSumColumn acceptSumColumn)
{
for (var i = 1; i < Values.Length; i++)
{
Values[i] = preparedValues.BalanceHolder == 100000000 ? acceptSumColumn.Values[i] : 0;
}
Values[0] = Values.Skip(1).Sum(x => x);
}
}
}

32
EvoCalculator.Core.Calculation/Columns/NPVBonusExpensesColumn.cs Normal file
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@ -0,0 +1,32 @@
using System.Linq;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
namespace EvoCalculator.Core.Calculation.Columns
{
public class NPVBonusExpensesColumn : BaseColumn<double>
{
public NPVBonusExpensesColumn(int count) : base(count)
{
}
public void ComputeValues(PreparedValues preparedValues)
{
Values[1] = -1 * (preparedValues.RatBonus + preparedValues.NsBonus + preparedValues.NsibBonus) *
(1 + preparedValues.SalaryRate) *
(1 + preparedValues.MarketRate + preparedValues.DistrictRate);
Values[2] = preparedValues.BonusFix > 0
? -preparedValues.BonusFix
: -1 * preparedValues.BonusBase * preparedValues.Bonus * (1 + preparedValues.SalaryRate) *
(1 + preparedValues.MarketRate + preparedValues.DistrictRate);
for (var i = 3; i < Values.Length; i++)
{
Values[i] = 0;
}
Values[0] = Values.Skip(1).Sum(x => x);
}
}
}

295
EvoCalculator.Core.FinanceFormulas/Bisection.cs
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@ -1,295 +0,0 @@
// using System;
// using System.Linq;
// using Money = System.Decimal;
// using Rate = System.Double;
// using System.Collections.Generic;
//
// public
// struct Pair<T, Z>
// {
// public Pair(T first, Z second)
// {
// First = first;
// Second = second;
// }
//
// public readonly T First;
//
// public readonly Z Second;
// }
//
//
// public class CashFlow
// {
// public CashFlow(Money amount, DateTime date)
// {
// Amount = amount;
// Date = date;
// }
//
// public readonly Money Amount;
// public readonly DateTime Date;
// }
//
// public struct AlgorithmResult<TKindOfResult, TValue>
// {
// public AlgorithmResult(TKindOfResult kind, TValue value)
// {
// Kind = kind;
// Value = value;
// }
//
// public readonly TKindOfResult Kind;
// public readonly TValue Value;
// }
//
// public enum ApproximateResultKind
// {
// ApproximateSolution,
// ExactSolution,
// NoSolutionWithinTolerance
// }
//
// public static class Algorithms
// {
// internal static Money CalculateXNPV(IEnumerable<CashFlow> cfs, Rate r)
// {
// if (r <= -1)
// r = -0.99999999; // Very funky ... Better check what an IRR <= -100% means
//
// return (from cf in cfs
// let startDate = cfs.OrderBy(cf1 => cf1.Date).First().Date
// select cf.Amount / (decimal) Math.Pow(1 + r, (cf.Date - startDate).Days / 365.0)).Sum();
// }
//
// internal static Pair<Rate, Rate> FindBrackets(Func<IEnumerable<CashFlow>, Rate, Money> func,
// IEnumerable<CashFlow> cfs)
// {
// // Abracadabra magic numbers ...
// const int maxIter = 100;
// const Rate bracketStep = 0.5;
// const Rate guess = 0.1;
//
// Rate leftBracket = guess - bracketStep;
// Rate rightBracket = guess + bracketStep;
// var iter = 0;
//
// while (func(cfs, leftBracket) * func(cfs, rightBracket) > 0 && iter++ < maxIter)
// {
// leftBracket -= bracketStep;
// rightBracket += bracketStep;
// }
//
// if (iter >= maxIter)
// return new Pair<double, double>(0, 0);
//
// return new Pair<Rate, Rate>(leftBracket, rightBracket);
// }
//
// // From "Applied Numerical Analyis" by Gerald
// internal static AlgorithmResult<ApproximateResultKind, Rate> Bisection(Func<Rate, Money> func,
// Pair<Rate, Rate> brackets, Rate tol, int maxIters)
// {
// int iter = 1;
//
// Money f3 = 0;
// Rate x3 = 0;
// Rate x1 = brackets.First;
// Rate x2 = brackets.Second;
//
// do
// {
// var f1 = func(x1);
// var f2 = func(x2);
//
// if (f1 == 0 && f2 == 0)
// return new AlgorithmResult<ApproximateResultKind, Rate>(ApproximateResultKind.NoSolutionWithinTolerance,
// x1);
//
// if (f1 * f2 > 0)
// throw new ArgumentException("x1 x2 values don't bracket a root");
//
// x3 = (x1 + x2) / 2;
// f3 = func(x3);
//
// if (f3 * f1 < 0)
// x2 = x3;
// else
// x1 = x3;
//
// iter++;
// } while (Math.Abs(x1 - x2) / 2 > tol && f3 != 0 && iter < maxIters);
//
// if (f3 == 0)
// return new AlgorithmResult<ApproximateResultKind, Rate>(ApproximateResultKind.ExactSolution, x3);
//
// if (Math.Abs(x1 - x2) / 2 < tol)
// return new AlgorithmResult<ApproximateResultKind, Rate>(ApproximateResultKind.ApproximateSolution, x3);
//
// if (iter > maxIters)
// return new AlgorithmResult<ApproximateResultKind, Rate>(ApproximateResultKind.NoSolutionWithinTolerance,
// x3);
//
// throw new Exception("It should never get here");
// }
//
// public static AlgorithmResult<ApproximateResultKind, Rate> CalculateXIRR(IEnumerable<CashFlow> cfs, Rate tolerance,
// int maxIters)
// {
// var brackets = FindBrackets(CalculateXNPV, cfs);
//
// if (brackets.First == brackets.Second)
// return new AlgorithmResult<ApproximateResultKind, double>(ApproximateResultKind.NoSolutionWithinTolerance,
// brackets.First);
//
// return Bisection(r => CalculateXNPV(cfs, r), brackets, tolerance, maxIters);
// }
// }
//
// // TESTS
// using Microsoft.VisualStudio.TestTools.UnitTesting;
// using System.Collections.Generic;
// using System;
// using Rate = System.Double;
//
// namespace TimeLineTest
// {
// [TestClass()]
// public class AlgorithmsTest
// {
// IEnumerable<CashFlow> cfs = new CashFlow[]
// {
// new CashFlow(-10000, new DateTime(2008, 1, 1)),
// new CashFlow(2750, new DateTime(2008, 3, 1)),
// new CashFlow(4250, new DateTime(2008, 10, 30)),
// new CashFlow(3250, new DateTime(2009, 2, 15)),
// new CashFlow(2750, new DateTime(2009, 4, 1))
// };
//
// IEnumerable<CashFlow> bigcfs = new CashFlow[]
// {
// new CashFlow(-10, new DateTime(2000, 1, 1)),
// new CashFlow(10, new DateTime(2002, 1, 2)),
// new CashFlow(20, new DateTime(2003, 1, 3))
// };
//
// IEnumerable<CashFlow> negcfs = new CashFlow[]
// {
// new CashFlow(-10, new DateTime(2000, 1, 1)),
// new CashFlow(-1, new DateTime(2002, 1, 2)),
// new CashFlow(1, new DateTime(2003, 1, 3))
// };
//
// IEnumerable<CashFlow> samedaysamecfs = new CashFlow[]
// {
// new CashFlow(-10, new DateTime(2000, 1, 1)),
// new CashFlow(10, new DateTime(2000, 1, 1)),
// };
//
// IEnumerable<CashFlow> samedaydifferentcfs = new CashFlow[]
// {
// new CashFlow(-10, new DateTime(2000, 1, 1)),
// new CashFlow(100, new DateTime(2000, 1, 1)),
// };
//
// IEnumerable<CashFlow> bigratecfs = new CashFlow[]
// {
// new CashFlow(-10, new DateTime(2000, 1, 1)),
// new CashFlow(20, new DateTime(2000, 5, 30)),
// };
//
// IEnumerable<CashFlow> zeroRate = new CashFlow[]
// {
// new CashFlow(-10, new DateTime(2000, 1, 1)),
// new CashFlow(10, new DateTime(2003, 1, 1)),
// };
//
// IEnumerable<CashFlow> doubleNegative = new CashFlow[]
// {
// new CashFlow(-10000, new DateTime(2008, 1, 1)),
// new CashFlow(2750, new DateTime(2008, 3, 1)),
// new CashFlow(-4250, new DateTime(2008, 10, 30)),
// new CashFlow(3250, new DateTime(2009, 2, 15)),
// new CashFlow(2750, new DateTime(2009, 4, 1))
// };
//
// IEnumerable<CashFlow> badDoubleNegative = new CashFlow[]
// {
// new CashFlow(-10000, new DateTime(2008, 1, 1)),
// new CashFlow(2750, new DateTime(2008, 3, 1)),
// new CashFlow(-4250, new DateTime(2008, 10, 30)),
// new CashFlow(3250, new DateTime(2009, 2, 15)),
// new CashFlow(-2750, new DateTime(2009, 4, 1))
// };
//
// double r = 0.09;
// double tolerance = 0.0001;
// int maxIters = 100;
//
// private TestContext testContextInstance;
//
// public TestContext TestContext
// {
// get { return testContextInstance; }
// set { testContextInstance = value; }
// }
//
// [TestMethod()]
// public void CalculateXNPV()
// {
// Assert.AreEqual(2086.6476020315416570634272814M, Algorithms.CalculateXNPV(cfs, r));
// Assert.AreEqual(-10.148147600710372651326920258M, Algorithms.CalculateXNPV(negcfs, 0.5));
// Assert.AreEqual(4.9923725815954514810351876895M, Algorithms.CalculateXNPV(bigcfs, 0.3));
// }
//
// [TestMethod]
// public void FindBrackets()
// {
// var brackets = Algorithms.FindBrackets(Algorithms.CalculateXNPV, cfs);
// Assert.IsTrue(brackets.First < 0.3733 && brackets.Second > 0.3733);
//
// brackets = Algorithms.FindBrackets(Algorithms.CalculateXNPV, bigcfs);
// Assert.IsTrue(brackets.First < 0.5196 && brackets.Second > 0.5196);
//
// brackets = Algorithms.FindBrackets(Algorithms.CalculateXNPV, negcfs);
// Assert.IsTrue(brackets.First < -0.6059 && brackets.Second > -0.6059);
// }
//
// [TestMethod]
// public void XIRRTest()
// {
// var irr = Algorithms.CalculateXIRR(cfs, tolerance, maxIters);
// Assert.AreEqual(0.3733, irr.Value, 0.001);
// Assert.AreEqual(ApproximateResultKind.ApproximateSolution, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(bigcfs, tolerance, maxIters);
// Assert.AreEqual(0.5196, irr.Value, 0.001);
// Assert.AreEqual(ApproximateResultKind.ApproximateSolution, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(negcfs, tolerance, maxIters);
// Assert.AreEqual(-0.6059, irr.Value, 0.001);
// Assert.AreEqual(ApproximateResultKind.ApproximateSolution, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(samedaysamecfs, tolerance, maxIters);
// Assert.AreEqual(ApproximateResultKind.NoSolutionWithinTolerance, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(samedaydifferentcfs, tolerance, maxIters);
// Assert.AreEqual(ApproximateResultKind.NoSolutionWithinTolerance, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(bigratecfs, tolerance, maxIters);
// Assert.AreEqual(4.40140, irr.Value, 0.001);
// Assert.AreEqual(ApproximateResultKind.ApproximateSolution, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(zeroRate, tolerance, maxIters);
// Assert.AreEqual(0, irr.Value, 0.001);
// Assert.AreEqual(ApproximateResultKind.ApproximateSolution, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(doubleNegative, tolerance, maxIters);
// Assert.AreEqual(-0.537055, irr.Value, 0.001);
// Assert.AreEqual(ApproximateResultKind.ApproximateSolution, irr.Kind);
//
// irr = Algorithms.CalculateXIRR(badDoubleNegative, tolerance, maxIters);
// Assert.AreEqual(ApproximateResultKind.NoSolutionWithinTolerance, irr.Kind);
// }
// }
// }

23
EvoCalculator.Core.FinanceFormulas/GoalXIRR.cs
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@ -1,23 +0,0 @@
using TridentGoalSeek;
namespace EvoCalculator.Core.FinanceFormulas
{
public class GoalXIRR : IGoalSeekAlgorithm
{
private readonly int x;
public GoalXIRR(int x)
{
this.x = x;
}
public decimal Calculate(decimal inputVariable)
{
// Value[2]+=10;
// ComputeValues
// XIRR
// return XIRR
return inputVariable * this.x;
}
}
}

2
EvoCalculator.Core.Models/Calculation/Models/Prepared/PreparedParams.cs
View File

@ -70,7 +70,7 @@ namespace EvoCalculator.Core.Models.Calculation.Models.Prepared
public double TransportTaxGr { get; set; }
public double NsibBrutto { get; set; }
public double NsibNetto { get; set; }
public double NmperDeprecation { get; set; }
public int NmperDeprecation { get; set; }
public double DeprecationTime { get; set; }
public double RatBonus { get; set; }
public double NsBonus { get; set; }

136
EvoCalculator.Core.Tests/Calculation/Columns/AcceptInsuranceTests.cs Normal file
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@ -0,0 +1,136 @@
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class AcceptInsuranceTests
{
[Fact]
public void AcceptInsuranceTest1()
{
var preparedValues = new PreparedValues()
{
Nmper = 30,
};
var acceptKaskoColumn = new AcceptKaskoColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
123666.666666667,
0.00,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
}
};
var acceptOsagoColumn = new AcceptOsagoColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
30000,
0.00,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
2727.27272727273,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
}
};
var acceptInsuranceColumn = new AcceptInsuranceColumn(preparedValues.Nmper + 1);
acceptInsuranceColumn.ComputeValues(acceptKaskoColumn, acceptOsagoColumn);
var expected = new[]
{
153666.6666666666,
0.00,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
6991.64054336468,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
4264.36781609195,
};
Assert.Equal(expected, acceptInsuranceColumn.Values);
}
}
}

61
EvoCalculator.Core.Tests/Calculation/Columns/AcceptKaskoTests.cs Normal file
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@ -0,0 +1,61 @@
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class AcceptKaskoTests
{
[Fact]
public void AcceptKaskoTest1()
{
var preparedValues = new PreparedValues()
{
Nmper = 30,
InsuranceKaskoNmper = 123666.666666667
};
var expected = new[]
{
123666.666666667,
0.00,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
4264.367816091965,
};
var acceptKaskoColumn = new AcceptKaskoColumn(preparedValues.Nmper + 1);
acceptKaskoColumn.ComputeValues(preparedValues);
Assert.Equal(expected, acceptKaskoColumn.Values);
}
}
}

61
EvoCalculator.Core.Tests/Calculation/Columns/AcceptOsagoTests.cs Normal file
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@ -0,0 +1,61 @@
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class AcceptOsagoTests
{
[Fact]
public void AcceptOsagoTest1()
{
var preparedValues = new PreparedValues()
{
Nmper = 30,
InsuranceOsago = 30000
};
var expected = new[]
{
30000.000000000004,
0.00,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
2727.2727272727275,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
};
var acceptOsagoColumn = new AcceptOsagoColumn(preparedValues.Nmper + 1);
acceptOsagoColumn.ComputeValues(preparedValues);
Assert.Equal(expected, acceptOsagoColumn.Values);
}
}
}

251
EvoCalculator.Core.Tests/Calculation/Columns/AcceptSumTests.cs Normal file
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@ -0,0 +1,251 @@
using System;
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class AcceptSumTests
{
[Fact]
public void AcceptSumTest1()
{
var preparedValues =
new PreparedValues()
{
Nmper = 30,
AcceptSum = 2500000
};
var dateTempColumn = new DateTempColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
new DateTime(2020, 10, 12),
new DateTime(2020, 10, 12),
new DateTime(2020, 11, 12),
new DateTime(2020, 12, 12),
new DateTime(2021, 1, 12),
new DateTime(2021, 2, 12),
new DateTime(2021, 3, 12),
new DateTime(2021, 4, 12),
new DateTime(2021, 5, 12),
new DateTime(2021, 6, 12),
new DateTime(2021, 7, 12),
new DateTime(2021, 8, 12),
new DateTime(2021, 9, 12),
new DateTime(2021, 10, 12),
new DateTime(2021, 11, 12),
new DateTime(2021, 12, 12),
new DateTime(2022, 1, 12),
new DateTime(2022, 2, 12),
new DateTime(2022, 3, 12),
new DateTime(2022, 4, 12),
new DateTime(2022, 5, 12),
new DateTime(2022, 6, 12),
new DateTime(2022, 7, 12),
new DateTime(2022, 8, 12),
new DateTime(2022, 9, 12),
new DateTime(2022, 10, 12),
new DateTime(2022, 11, 12),
new DateTime(2022, 12, 12),
new DateTime(2023, 1, 12),
new DateTime(2023, 2, 12),
new DateTime(2023, 3, 12),
new DateTime(2023, 4, 12),
new DateTime(2023, 5, 12),
new DateTime(2023, 6, 12),
new DateTime(2023, 7, 12),
new DateTime(2023, 8, 12),
new DateTime(2023, 9, 12),
new DateTime(2023, 10, 12),
new DateTime(2023, 11, 12),
new DateTime(2023, 12, 12),
new DateTime(2024, 1, 12),
new DateTime(2024, 2, 12),
new DateTime(2024, 3, 12),
new DateTime(2024, 4, 12),
new DateTime(2024, 5, 12),
new DateTime(2024, 6, 12),
new DateTime(2024, 7, 12),
new DateTime(2024, 8, 12),
new DateTime(2024, 9, 12),
new DateTime(2024, 10, 12),
new DateTime(2024, 11, 12),
new DateTime(2024, 12, 12),
new DateTime(2025, 1, 12),
new DateTime(2025, 2, 12),
new DateTime(2025, 3, 12),
new DateTime(2025, 4, 12),
new DateTime(2025, 5, 12),
new DateTime(2025, 6, 12),
new DateTime(2025, 7, 12),
new DateTime(2025, 8, 12),
new DateTime(2025, 9, 12),
new DateTime(2025, 10, 12),
new DateTime(2025, 11, 12),
new DateTime(2025, 12, 12),
new DateTime(2026, 1, 12),
new DateTime(2026, 2, 12),
new DateTime(2026, 3, 12),
}
};
var sumColumn = new SumColumn(preparedValues.Nmper + 1, dateTempColumn, null, null)
{
Values = new[]
{
-2542903.66268442,
625000.00,
120000.00,
120000.00,
120000.00,
120000.00,
120000.00,
120000.00,
120000.00,
120000.00,
120000.00,
120000.00,
108000.00,
108000.00,
108000.00,
108000.00,
108000.00,
108000.00,
108000.00,
108000.00,
108000.00,
108000.00,
108000.00,
96000.00,
96000.00,
96000.00,
96000.00,
96000.00,
96000.00,
96000.00,
25000.00,
}
};
var vatColumn = new VATColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
742000.00,
125000.00,
24000.00,
24000.00,
24000.00,
24000.00,
24000.00,
24000.00,
24000.00,
24000.00,
24000.00,
24000.00,
21600.00,
21600.00,
21600.00,
21600.00,
21600.00,
21600.00,
21600.00,
21600.00,
21600.00,
21600.00,
21600.00,
19200.00,
19200.00,
19200.00,
19200.00,
19200.00,
19200.00,
19200.00,
5000.00,
}
};
var sumWithVatColumn = new SumWithVATColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
4452000.00,
750000.00,
144000.00,
144000.00,
144000.00,
144000.00,
144000.00,
144000.00,
144000.00,
144000.00,
144000.00,
144000.00,
129600.00,
129600.00,
129600.00,
129600.00,
129600.00,
129600.00,
129600.00,
129600.00,
129600.00,
129600.00,
129600.00,
115200.00,
115200.00,
115200.00,
115200.00,
115200.00,
115200.00,
115200.00,
30000.00,
}
};
var expected = new[]
{
2500000,
421159.0296495957,
80862.53369272237,
80862.53369272237,
80862.53369272237,
80862.53369272237,
80862.53369272237,
80862.53369272237,
80862.53369272237,
80862.53369272237,
80862.53369272237,
80862.53369272237,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
72776.280323450133,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
16846.361185983827,
};
var acceptSumColumn = new AcceptSumColumn(preparedValues.Nmper + 1);
acceptSumColumn.ComputeValues(preparedValues, sumColumn, vatColumn, sumWithVatColumn);
var values = acceptSumColumn.Values;
Assert.Equal(expected, values);
}
}
}

72
EvoCalculator.Core.Tests/Calculation/Columns/DeprecationLDTests.cs Normal file
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@ -0,0 +1,72 @@
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class DeprecationLDTests
{
[Fact]
public void DeprecationLDTest1()
{
var preparedValues = new PreparedValues()
{
BalanceHolder = 100000001,
NmperDeprecation = 37,
DeprecationTime = 5.60,
AcceptSum = 2500000
};
var deprecationLDColumn = new DeprecationLDColumn(preparedValues.NmperDeprecation + 2);
deprecationLDColumn.ComputeValues(preparedValues);
var expected = new[]
{
2500000.00,
0.00,
140000.00,
132160.00,
124759.04,
117772.53376,
111177.27186944,
104951.344644751,
99074.0693446453,
93525.9214613451,
88288.4698595098,
83344.3155473772,
78677.0338767241,
74271.1199796276,
70111.9372607684,
66185.6687741654,
62479.2713228121,
58980.4321287346,
55677.5279295255,
52559.5863654721,
49616.2495290057,
46837.7395553813,
44214.82614028,
41738.7958764243,
39401.4233073445,
37194.9436021332,
35112.0267604138,
33145.7532618306,
31289.5910791681,
29537.3739787347,
27883.2810359255,
26321.8172979137,
24847.7955292305,
23456.3189795936,
22142.7651167364,
20902.7702701992,
19732.215135068,
18627.2110875042,
314001.558332213,
};
var values = deprecationLDColumn.Values;
Assert.Equal(expected, values, new DoubleArrayComparer());
}
}
}

189
EvoCalculator.Core.Tests/Calculation/Columns/DeprecationLPTests.cs Normal file
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@ -0,0 +1,189 @@
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class DeprecationLPTests
{
[Fact]
public void DeprecationLPTest1()
{
var preparedValues = new PreparedValues()
{
BalanceHolder = 100000001,
Nmper = 30
};
var acceptSumColumn = new AcceptSumColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
2224393.53099731,
421159.029649596,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
16846.3611859838,
}
};
var deprecationLPColumn = new DeprecationLPColumn(preparedValues.Nmper + 1);
deprecationLPColumn.ComputeValues(preparedValues, acceptSumColumn);
var expected = new[]
{
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
};
var values = deprecationLPColumn.Values;
Assert.Equal(expected, values);
}
[Fact]
public void DeprecationLPTest2()
{
var preparedValues = new PreparedValues()
{
BalanceHolder = 100000000,
Nmper = 30
};
var acceptSumColumn = new AcceptSumColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
2224393.53099731,
421159.029649596,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
80862.533692722398,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
72776.280323450104,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
64690.026954177898,
16846.3611859838,
}
};
var deprecationLPColumn = new DeprecationLPColumn(preparedValues.Nmper + 1);
deprecationLPColumn.ComputeValues(preparedValues, acceptSumColumn);
var expected = new[]
{
2500000.00,
421159.029649596,
80862.5336927224,
80862.5336927224,
80862.5336927224,
80862.5336927224,
80862.5336927224,
80862.5336927224,
80862.5336927224,
80862.5336927224,
80862.5336927224,
80862.5336927224,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
72776.2803234501,
64690.0269541779,
64690.0269541779,
64690.0269541779,
64690.0269541779,
64690.0269541779,
64690.0269541779,
64690.0269541779,
16846.3611859838,
};
var values = deprecationLPColumn.Values;
Assert.Equal(expected, values, new DoubleArrayComparer());
}
}
}

153
EvoCalculator.Core.Tests/Calculation/Columns/DeprecationTests.cs Normal file
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@ -0,0 +1,153 @@
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class DeprecationTests
{
[Fact]
public void DepreactionTest1()
{
var preparedValues = new PreparedValues()
{
NmperDeprecation = 37,
Nmper = 30
};
var deprecationLPColumn = new DeprecationLPColumn(preparedValues.Nmper + 1)
{
Values = new[]
{
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
}
};
var deprectionLDColumn = new DeprecationLDColumn(preparedValues.NmperDeprecation + 2)
{
Values = new[]
{
2500000.00,
0.00,
140000.00,
132160.00,
124759.04,
117772.53376,
111177.27186944,
104951.344644751,
99074.0693446453,
93525.9214613451,
88288.4698595098,
83344.3155473772,
78677.0338767241,
74271.1199796276,
70111.9372607684,
66185.6687741654,
62479.2713228121,
58980.4321287346,
55677.5279295255,
52559.5863654721,
49616.2495290057,
46837.7395553813,
44214.82614028,
41738.7958764243,
39401.4233073445,
37194.9436021332,
35112.0267604138,
33145.7532618306,
31289.5910791681,
29537.3739787347,
27883.2810359255,
26321.8172979137,
24847.7955292305,
23456.3189795936,
22142.7651167364,
20902.7702701992,
19732.215135068,
18627.2110875042,
314001.558332213,
}
};
var deprecationColumn = new DeprecationColumn(preparedValues.NmperDeprecation + 2);
deprecationColumn.ComputeValues(deprecationLPColumn, deprectionLDColumn);
var expected = new[]
{
2500000.00,
0.00,
140000.00,
132160.00,
124759.04,
117772.53376,
111177.27186944,
104951.344644751,
99074.0693446453,
93525.9214613451,
88288.4698595098,
83344.3155473772,
78677.0338767241,
74271.1199796276,
70111.9372607684,
66185.6687741654,
62479.2713228121,
58980.4321287346,
55677.5279295255,
52559.5863654721,
49616.2495290057,
46837.7395553813,
44214.82614028,
41738.7958764243,
39401.4233073445,
37194.9436021332,
35112.0267604138,
33145.7532618306,
31289.5910791681,
29537.3739787347,
27883.2810359255,
26321.8172979137,
24847.7955292305,
23456.3189795936,
22142.7651167364,
20902.7702701992,
19732.215135068,
18627.2110875042,
314001.558332213,
};
var values = deprecationColumn.Values;
Assert.Equal(expected, values, new DoubleArrayComparer());
}
}
}

130
EvoCalculator.Core.Tests/Calculation/Columns/NPVBonusExpensesTests.cs Normal file
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@ -0,0 +1,130 @@
using EvoCalculator.Core.Calculation.Columns;
using EvoCalculator.Core.Models.Calculation.Models.Prepared;
using Xunit;
namespace EvoCalculator.Core.Tests.Calculation.Columns
{
public class NPVBonusExpensesTests
{
[Fact]
public void NPVBonusExpensesTest1()
{
var preparedValue = new PreparedValues
{
SalaryRate = 0.3,
MarketRate = 0.01,
DistrictRate = 0.02,
RatBonus = 360.00,
NsBonus = 90.00,
NsibBonus = 97.014,
BonusFix = 0.00,
BonusBase = 2003933.33333333,
Bonus = 0.011,
Nmper = 30
};
var npvBonusExpensesColumn = new NPVBonusExpensesColumn(preparedValue.Nmper + 1);
npvBonusExpensesColumn.ComputeValues(preparedValue);
var expected = new[]
{
-30248.3858126666,
-732.451746,
-29515.9340666666,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
};
Assert.Equal(expected, npvBonusExpensesColumn.Values, new DoubleArrayComparer());
}
[Fact]
public void NPVBonusExpensesTest2()
{
var preparedValue = new PreparedValues
{
SalaryRate = 0.3,
MarketRate = 0.01,
DistrictRate = 0.02,
RatBonus = 360.00,
NsBonus = 90.00,
NsibBonus = 97.014,
BonusFix = 20000.00,
BonusBase = 2003933.33333333,
Bonus = 0.011,
Nmper = 30
};
var npvBonusExpensesColumn = new NPVBonusExpensesColumn(preparedValue.Nmper + 1);
npvBonusExpensesColumn.ComputeValues(preparedValue);
var expected = new[]
{
-20732.451746,
-732.451746,
-20000.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
0.00,
};
Assert.Equal(expected, npvBonusExpensesColumn.Values, new DoubleArrayComparer());
}
}
}

4
EvoCalculator.Core.Tests/Calculation/Columns/SumColumnTest.cs
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@ -176,7 +176,7 @@ namespace EvoCalculator.Core.Tests.Calculation.Columns
, percentPaymentColumn);
sumColumn.ComputeValues(Convert.ToDecimal(preparedValues.IrrExpected));
var values = sumColumn.Values;
Assert.Equal(expected, values);
Assert.Equal(expected, values, new DoubleArrayComparer(100));
}
[Fact]
@ -306,7 +306,7 @@ namespace EvoCalculator.Core.Tests.Calculation.Columns
, percentPaymentColumn);
sumColumn.ComputeValues(Convert.ToDecimal(preparedValues.IrrExpected));
var values = sumColumn.Values;
Assert.Equal(expected, values);
Assert.Equal(expected, values, new DoubleArrayComparer(100));
}
}
}

29
EvoCalculator.Core.Tests/DoubleArrayComparer.cs Normal file
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@ -0,0 +1,29 @@
using System;
using System.Collections.Generic;
namespace EvoCalculator.Core.Tests
{
public class DoubleArrayComparer : IEqualityComparer<double>
{
private double _tolerance = 0.001;
public DoubleArrayComparer(double tolerance)
{
this._tolerance = tolerance;
}
public DoubleArrayComparer()
{
}
public bool Equals(double x, double y)
{
return Math.Abs(x - y) < _tolerance;
}
public int GetHashCode(double obj)
{
return obj.GetHashCode();
}
}
}