public void TestMethodGreedy()
{
//Act
//Note: KPGreedyAlg.Solve() is returning Tuple<int[], int>.
//Note: Same test cases as before but were testing the greedy algorithm instead.
//Obviously, the greedy algorithm will return a different answer.
var t1 = KPGreedyAlg.Solve(new int[0], new int[0], 0, 0);
var t2 = KPGreedyAlg.Solve(new int[2] {
2, 3
}, new int[2] {
3, 4
}, 0, 2);
var t3 = KPGreedyAlg.Solve(new int[0], new int[0], 3, 0);
var t4 = KPGreedyAlg.Solve(new int[1] {
3
}, new int[1] {
2
}, 3, 1);
var t5 = KPGreedyAlg.Solve(new int[1] {
3
}, new int[1] {
2
}, 1, 1);
var t6 = KPGreedyAlg.Solve(
new int[6] {
10, 12, 3, 7, 20, 7
},
new int[6] {
3, 6, 2, 4, 13, 1
}, 15, 6);
var t7 = KPGreedyAlg.Solve(
new int[7] {
4, 7, 1, 9, 3, 7, 10
},
new int[7] {
2, 3, 9, 1, 3, 7, 6
}, 25, 7);
var t8 = KPGreedyAlg.Solve(
new int[6] {
1, 2, 4, 2, 11, 8
},
new int[6] {
1, 2, 2, 6, 4, 3
}, 10, 6);
var t9 = KPGreedyAlg.Solve(
new int[7] {
2, 6, 2, 7, 11, 12, 1000
},
new int[7] {
5, 15, 1, 3, 8, 5, 30
}, 30, 7);
var t10 = KPGreedyAlg.Solve(
new int[10] {
1, 2, 4, 7, 2, 9, 6, 7, 10, 15
},
new int[10] {
2, 3, 5, 2, 8, 4, 3, 2, 9, 15
}, 25, 10);
var t11 = KPGreedyAlg.Solve(
new int[5] {
4, 6, 1, 9, 15
},
new int[5] {
3, 2, 11, 4, 7
}, 10, 5);
var t12 = KPGreedyAlg.Solve(
new int[5] {
1, 2, 3, 4, 100
},
new int[5] {
5, 5, 5, 5, 5
}, 5, 5);
var t13 = KPGreedyAlg.Solve(
new int[10] {
5, 8, 5, 3, 16, 8, 100, 1, 6, 7
},
new int[10] {
2, 3, 8, 2, 4, 8, 16, 15, 2, 3
}, 15, 10);
var t14 = KPGreedyAlg.Solve(
new int[6] {
10, 10, 10, 10, 10, 10
},
new int[6] {
3, 3, 3, 3, 3, 3
}, 18, 6);
var t15 = KPGreedyAlg.Solve(
new int[6] {
1, 2, 3, 6, 3, 4
},
new int[6] {
200, 500, 400, 350, 300, 300
}, 1000, 6);
var t16 = KPGreedyAlg.Solve(
new int[10] {
19, 29, 4, 16, 24, 4, 17, 6, 34, 14
},
new int[10] {
14, 20, 4, 15, 17, 3, 17, 6, 25, 25
}, 100, 10);
var t17 = KPGreedyAlg.Solve(
new int[10] {
8, 7, 20, 16, 8, 26, 8, 4, 18, 6
},
new int[10] {
9, 8, 15, 15, 13, 20, 6, 3, 19, 11
}, 100, 10);
//Assert
Assert.AreEqual(0, t1.Item2);
Assert.AreEqual(0, t2.Item2);
Assert.AreEqual(0, t3.Item2);
Assert.AreEqual(3, t4.Item2);
Assert.AreEqual(0, t5.Item2);
Assert.AreEqual(36, t6.Item2); //Optimal
CollectionAssert.AreEqual(new int[6] {
1, 1, 0, 1, 0, 1
}, t6.Item1);
Assert.AreEqual(40, t7.Item2); //Optimal
CollectionAssert.AreEqual(new int[7] {
1, 1, 0, 1, 1, 1, 1
}, t7.Item1);
Assert.AreEqual(24, t8.Item2); //Optimal
CollectionAssert.AreEqual(new int[6] {
1, 0, 1, 0, 1, 1
}, t8.Item1);
Assert.AreEqual(1000, t9.Item2); //Optimal
CollectionAssert.AreEqual(new int[7] {
0, 0, 0, 0, 0, 0, 1
}, t9.Item1);
Assert.AreEqual(43, t10.Item2); //Optimal
CollectionAssert.AreEqual(new int[10] {
0, 0, 1, 1, 0, 1, 1, 1, 1, 0
}, t10.Item1);
Assert.AreEqual(19, t11.Item2); //Not Optimal, Off by 2
CollectionAssert.AreEqual(new int[5] {
1, 1, 0, 1, 0
}, t11.Item1);
Assert.AreEqual(100, t12.Item2); //Optimal
CollectionAssert.AreEqual(new int[5] {
0, 0, 0, 0, 1
}, t12.Item1);
Assert.AreEqual(42, t13.Item2); //Optimal
CollectionAssert.AreEqual(new int[10] {
1, 1, 0, 0, 1, 0, 0, 0, 1, 1
}, t13.Item1);
Assert.AreEqual(60, t14.Item2); //Optimal
CollectionAssert.AreEqual(new int[6] {
1, 1, 1, 1, 1, 1
}, t14.Item1);
Assert.AreEqual(13, t15.Item2); //Optimal
CollectionAssert.AreEqual(new int[6] {
0, 0, 0, 1, 1, 1
}, t15.Item1);
Assert.AreEqual(130, t16.Item2); //Not Optimal, Off by 2
CollectionAssert.AreEqual(new int[10] {
1, 1, 1, 1, 1, 1, 0, 0, 1, 0
}, t16.Item1);
Assert.AreEqual(107, t17.Item2); //Not Optimal, Off by 1
CollectionAssert.AreEqual(new int[10] {
1, 1, 1, 1, 0, 1, 1, 1, 1, 0
}, t17.Item1);
}
static void Main(string[] args)
{
//Vars
long worstCaseTime = 0;
long avgCaseTime = 0;
long bestCaseTime = 0;
long capAvg = 0;
int numItems;
int numberOfItemsIncluded = 0;
double percentOfItemsIncluded = 0.0;
Stopwatch sw = new Stopwatch();
Tuple <int[], int> solution;
//Prompt user for number of problems
Console.Write("How many problems? ");
numItems = Convert.ToInt32(Console.ReadLine());
Console.WriteLine("Generating Items.");
//Generate items
List <string> linesOfFile = new List <string>(File.ReadAllLines("..//Problems//PROBLEM_SIZE_5.txt"));
Tuple <int[], int[]> problem = ItemPicker.PickItems(linesOfFile, numItems);
Console.WriteLine("Done Generating Items. Doing WC Time.");
//Get Worst Case Time
//Note: Cap = 8_000_000_000 so everything will fit in knapsack
sw.Start();
KPGreedyAlg.Solve(problem.Item2, problem.Item1, 8_000_000_000, numItems);
sw.Stop();
worstCaseTime = sw.ElapsedMilliseconds;
sw.Reset();
Console.WriteLine("Done. Doing BC Time.");
//Get Best Case Time
//Note: Cap = 0 so nothing will fit in knapsack
sw.Start();
KPGreedyAlg.Solve(problem.Item2, problem.Item1, 0, numItems);
sw.Stop();
bestCaseTime = sw.ElapsedMilliseconds;
sw.Reset();
Console.WriteLine("Done. Doing AVG Case time.");
//Get Average Case Time
capAvg = numItems * 25;
sw.Start();
KPGreedyAlg.Solve(problem.Item2, problem.Item1, capAvg, numItems);
sw.Stop();
avgCaseTime = sw.ElapsedMilliseconds;
Console.WriteLine("Done. Wrapping up.");
//Calculate percentage of items included for average case
solution = KPGreedyAlg.Solve(problem.Item2, problem.Item1, capAvg, numItems);
for (int i = 0; i < solution.Item1.Length; i++)
{
if (solution.Item1[i] == 1)
{
++numberOfItemsIncluded;
}
}
percentOfItemsIncluded = (Convert.ToDouble(numberOfItemsIncluded)) / numItems;
//Display results on screen
Console.WriteLine($"Number of Items: {numItems}");
Console.WriteLine($"Worst Case Time: {worstCaseTime}");
Console.WriteLine($"Average Case Time: {avgCaseTime}");
Console.WriteLine($"Best Case Time: {bestCaseTime}");
Console.WriteLine($"Average Capacity: {capAvg}");
Console.WriteLine($"Percent Included: {percentOfItemsIncluded}");
Console.WriteLine($"Number of Items Included: {numberOfItemsIncluded}");
Console.ReadLine();
}