public void TestcalRequiredBarCore(double stock, double saw, double[] orderLens, int[] orderNums, int nRequiredBar, double expectedWastedLen, double lossRatio)
{
// Input
double rawBarHeightInput = stock;
double sawWidthInput = saw;
var requiredBarSetInputs = new List <BarSet>();
var expectedTotalBar = 0;
for (int i = 0; i < orderLens.Length; i++)
{
requiredBarSetInputs.Add(new BarSet(orderLens[i], orderNums[i]));
expectedTotalBar += orderNums[i];
}
// Exercise
var ret = CutOptimization.calRequiredBarCore(rawBarHeightInput, sawWidthInput, requiredBarSetInputs);
// Assert
int nTotalBar = UtilStatistics.sumInt(new List <int>(ret.Values));
var wastedLen = UtilStatistics.calWastedLen(ret, stock, 200d);
var totalBar = UtilStatistics.calTotalBar(ret);
Assert.Equal(expectedTotalBar, totalBar);
Assert.Equal(nRequiredBar, nTotalBar);
Assert.Equal(expectedWastedLen, wastedLen);
Assert.InRange(wastedLen / (nTotalBar * stock), lossRatio - 0.01, lossRatio);
}
public void TestcalRequiredBarCoreMinMax(double stock, double saw, double minLeftover, double maxLeftover, double[] orderLens, int[] orderNums, int nRequiredBar, double expectedWastedLen, double lossRatio)
{
// Input
double rawBarHeightInput = stock;
double sawWidthInput = saw;
var requiredBarSetInputs = new List <BarSet>();
var expectedTotalBar = 0;
for (int i = 0; i < orderLens.Length; i++)
{
requiredBarSetInputs.Add(new BarSet(orderLens[i], orderNums[i]));
expectedTotalBar += orderNums[i];
}
// Exercise
var ret = CutOptimization.calRequiredBarCoreMinMax(rawBarHeightInput, sawWidthInput, requiredBarSetInputs, minLeftover, maxLeftover);
// Assert
int nTotalStock = UtilStatistics.sumInt(new List <int>(ret.Values));
var wastedLen = UtilStatistics.calWastedLen(ret, stock, maxLeftover);
var totalBar = UtilStatistics.calTotalBar(ret);
Assert.Equal(expectedTotalBar, totalBar);
Assert.Equal(nRequiredBar, nTotalStock);
Assert.Equal(expectedWastedLen, wastedLen);
Assert.InRange(wastedLen / (nTotalStock * stock), lossRatio - 0.01, lossRatio);
// assert within range
foreach (KeyValuePair <List <BarSet>, int> entry in ret)
{
List <BarSet> barSets = entry.Key;
double leftover = stock - new BarSets(barSets).countTotalLen();
Assert.NotInRange(leftover, minLeftover + 0.001, maxLeftover - 0.001);
}
}
public void TestcalRequiredBarCoreMinMax_WithCantCutAll(double stock, double saw, double minLeftover, double maxLeftover, double[] orderLens, int[] orderNums, int nRequiredBar)
{
// Input
double rawBarHeightInput = stock;
double sawWidthInput = saw;
var requiredBarSetInputs = new List <BarSet>();
for (int i = 0; i < orderLens.Length; i++)
{
requiredBarSetInputs.Add(new BarSet(orderLens[i], orderNums[i]));
}
// Exercise
var ret = CutOptimization.calRequiredBarCoreMinMax(rawBarHeightInput, sawWidthInput, requiredBarSetInputs, minLeftover, maxLeftover);
// Assert
int nTotalStock = UtilStatistics.sumInt(new List <int>(ret.Values));
Assert.Equal(nRequiredBar, nTotalStock);
// assert within range
foreach (KeyValuePair <List <BarSet>, int> entry in ret)
{
List <BarSet> barSets = entry.Key;
double cutLen = new BarSets(barSets).countTotalLen();
Assert.InRange(cutLen, 0, stock);
}
}
public void TestcalRequiredBarCoreMinMax_WithCantCutCondition_ExpectEmptyResult(double stock, double saw, double minLeftover, double maxLeftover, double[] orderLens, int[] orderNums)
{
// Input
double rawBarHeightInput = stock;
double sawWidthInput = saw;
var requiredBarSetInputs = new List <BarSet>();
var expectedTotalBar = 0;
for (int i = 0; i < orderLens.Length; i++)
{
requiredBarSetInputs.Add(new BarSet(orderLens[i], orderNums[i]));
expectedTotalBar += orderNums[i];
}
// Exercise
var ret = CutOptimization.calRequiredBarCoreMinMax(rawBarHeightInput, sawWidthInput, requiredBarSetInputs, minLeftover, maxLeftover);
Assert.Equal(0, ret.Count);
}
