//-1 - greater, 1 - smaller, 0 - error(equal)
public int CompareTo(object obj)
{
Litemset litemset = (Litemset)obj;
if (items.Count > litemset.items.Count)
{
return(1);
}
else if (items.Count < litemset.items.Count)
{
return(-1);
}
else
{
for (int i = 0; i < items.Count; i++)
{
if (items[i].CompareTo(litemset.items[i]) == 0) // equal
{
continue;
}
else
{
return(items[i].CompareTo(litemset.items[i]));
}
}
return(0);
}
}
/// <summary>
/// Выполняет параллельную версию алгоритма Apriori.
/// </summary>
/// <param name="minimalSupport"></param>
/// <param name="progressOutput">если это правда, информация о прогрессе отправляется на стандартный вывод</param>
/// <returns>Список L-элементов с поддержкой> = minimumSupport</returns>
public List <ILitemset> RunParallelApriori(double minimalSupport, bool progressOutput)
{
if (Platforms.InitializeAll().Length == 0)
{
return(RunApriori(minimalSupport, progressOutput));
}
if (minimalSupport > 1 || minimalSupport <= 0)
{
return(null);
}
if (customerList == null)
{
return(null);
}
if (this.customersCount == 0)
{
return(new List <ILitemset>());
}
int minSupport = (int)Math.Ceiling((double)this.customersCount * minimalSupport);
Stopwatch watch = null;
if (progressOutput)
{
watch = new Stopwatch();
watch.Start();
}
#region conversion of input to int[]
int itemsCountInt = 0;
int transactionsCountInt = 0;
int customersCountInt = 0;
foreach (ICustomer c in customerList)
{
++customersCountInt;
foreach (ITransaction t in c.GetTransactions())
{
++transactionsCountInt;
foreach (IItem item in t.GetItems())
{
++itemsCountInt;
}
}
}
uint itemsCountUInt = (uint)itemsCountInt;
uint transactionsCountUInt = (uint)transactionsCountInt;
uint customersCountUInt = (uint)customersCountInt;
int[] items = new int[itemsCountInt];
int[] itemsTransactions = new int[itemsCountInt];
int[] itemsCustomers = new int[itemsCountInt];
int[] transactionsStarts = new int[transactionsCountInt];
int[] transactionsLengths = new int[transactionsCountInt];
int[] customersStarts = new int[customersCountInt]; // с точки зрения транзакций!
int[] customersLengths = new int[customersCountInt]; // с точки зрения транзакций!
{
int currItem = 0;
int currTransaction = 0;
int currCustomer = 0;
int currTransactionLenth = 0;
int currCustomerLength = 0;
foreach (ICustomer c in customerList)
{
currCustomerLength = 0;
customersStarts[currCustomer] = currTransaction;
foreach (ITransaction t in c.GetTransactions())
{
currTransactionLenth = 0;
transactionsStarts[currTransaction] = currItem;
foreach (IItem item in t.GetItems())
{
items[currItem] = item.GetId();
itemsTransactions[currItem] = currTransaction;
itemsCustomers[currItem] = currCustomer;
++currItem;
++currTransactionLenth;
}
++currCustomerLength;
transactionsLengths[currTransaction] = currTransactionLenth;
++currTransaction;
}
customersLengths[currCustomer] = currCustomerLength;
++currCustomer;
}
}
#endregion
if (progressOutput)
{
watch.Stop();
Log.WriteLine("преобразованный вход @ {0} мс", watch.ElapsedMilliseconds);
watch.Start();
}
//Abstract.Diagnostics = true;
uint localSize = 32;
InitOpenCL(progressOutput);
CommandQueue queue = new CommandQueue(device, context);
#region input buffers allocation and initialization
Buffer <int> itemsBuf = new Buffer <int>(context, queue, items);
Buffer <int> transactionsStartsBuf = new Buffer <int>(context, queue, transactionsStarts);
Buffer <int> customersStartsBuf = new Buffer <int>(context, queue, customersStarts);
int[] itemsCount = new int[] { itemsCountInt };
Buffer <int> itemsCountBuf = new Buffer <int>(context, queue, itemsCount);
int[] transactionsCount = new int[] { transactionsCountInt };
Buffer <int> transactionsCountBuf = new Buffer <int>(context, queue, transactionsCount);
int[] customersCount = new int[] { customersCountInt };
Buffer <int> customersCountBuf = new Buffer <int>(context, queue, customersCount);
#endregion
if (progressOutput)
{
watch.Stop();
Log.WriteLine("буферы, написанные @ {0} мс", watch.ElapsedMilliseconds);
watch.Start();
}
InitOpenCLPrograms(false, progressOutput);
if (progressOutput)
{
watch.Stop();
Log.WriteLine("программы построены @ {0} мс", watch.ElapsedMilliseconds);
watch.Start();
}
#region empty buffers allocation and initialization
Buffer <int> Zero = new Buffer <int>(context, queue, new int[] { 0 });
Zero.Write(false);
Buffer <int> One = new Buffer <int>(context, queue, new int[] { 1 });
One.Write(false);
Buffer <int> tempItemsBuf = new Buffer <int>(context, queue, itemsCountUInt);
itemsBuf.Copy(0, itemsCountUInt, tempItemsBuf, 0);
#endregion
if (progressOutput)
{
watch.Stop();
Log.WriteLine("Initialized OpenCL in {0}ms.", watch.ElapsedMilliseconds);
watch.Restart();
}
// time: n*log^2(n)
#region finding empty id
int[] tempValue = new int[] { -1 };
kernelMax.SetArgument(0, tempItemsBuf);
kernelMax.SetArguments(null, itemsCountInt, 0, itemsCountInt);
uint globalSize = itemsCountUInt;
for (int scaling = 1; scaling < itemsCountInt; scaling *= (int)localSize)
{
kernelMax.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelMax.Launch1D(queue, globalSize, localSize);
globalSize /= localSize;
}
//tempItemsBuf.Read(tempValue, 0, 1); // debug
int emptyId = -1;
Buffer <int> emptyIdBuf = new Buffer <int>(context, queue, 1);
kernelIncrement.SetArgument(0, tempItemsBuf);
kernelIncrement.SetArguments(null, 1, 0, 1);
kernelIncrement.Launch1D(queue, 1, 1);
tempItemsBuf.Copy(0, 1, emptyIdBuf, 0);
#endregion
if (progressOutput)
{
watch.Stop();
Log.WriteLine("empty id @ {0}ms", watch.ElapsedMilliseconds);
watch.Start();
}
// time: 3n + n * ( 1.5n + log^2(n) ) == O(n^2)
#region finding distinct item ids
Buffer <int> itemsRemainingBuf = new Buffer <int>(context, queue, itemsCountUInt);
itemsBuf.Copy(itemsRemainingBuf);
itemsBuf.Copy(tempItemsBuf);
int uniqueItemsCount = 0;
int[] uniqueItems = new int[itemsCountInt];
Buffer <int> uniqueItemsBuf = new Buffer <int>(context, queue, uniqueItems);
kernelZero.SetArgument(0, uniqueItemsBuf);
kernelZero.SetArguments(null, itemsCountInt, 0, itemsCountInt);
kernelZero.Launch1D(queue, Kernels.GetOptimalGlobalSize(localSize, itemsCountUInt), localSize);
kernelMin.SetArgument(0, tempItemsBuf);
kernelMin.SetArguments(null, itemsCountInt, 0, itemsCountInt);
kernelSubstitute.SetArgument(0, itemsRemainingBuf);
kernelSubstitute.SetArguments(null, itemsCountInt, 0, itemsCountInt);
kernelSubstitute.SetArgument(4, emptyIdBuf);
kernelSubstitute.SetArgument(5, tempItemsBuf);
while (true)
{
globalSize = itemsCountUInt;
for (int scaling = 1; scaling < itemsCountInt; scaling *= (int)localSize)
{
kernelMin.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelMin.Launch1D(queue, globalSize, localSize);
globalSize /= localSize;
}
if (emptyId == -1)
{
emptyIdBuf.Read();
emptyId = emptyIdBuf.Value;
}
tempItemsBuf.Read(tempValue, 0, 1);
if (tempValue[0] == emptyId)
{
break; // достигнут конец вычисления
}
uniqueItems[uniqueItemsCount] = tempValue[0];
uniqueItemsCount += 1;
uniqueItemsBuf.Write(false, 0, (uint)uniqueItemsCount);
kernelSubstitute.Launch1D(queue, Kernels.GetOptimalGlobalSize(localSize, itemsCountUInt), localSize);
itemsRemainingBuf.Copy(0, itemsCountUInt, tempItemsBuf, 0);
}
uint uniqueItemsCountUInt = (uint)uniqueItemsCount;
#endregion
if (progressOutput)
{
watch.Stop();
Log.WriteLine("distinct items @ {0}ms", watch.ElapsedMilliseconds);
watch.Start();
}
// time: 2n + n^2 * log^2(n) == O(n^2 * log^2(n))
#region finding supports for items
int itemsSupportsCountInt = itemsCountInt * uniqueItemsCount;
uint itemsSupportsCountUInt = (uint)itemsSupportsCountInt;
int[] itemsSupportsCount = new int[] { itemsSupportsCountInt };
Buffer <int> itemsSupportsCountBuf = new Buffer <int>(context, queue, itemsSupportsCount);
int[] itemsSupports = new int[itemsSupportsCountInt];
Buffer <int> itemsSupportsBuf = new Buffer <int>(context, queue, itemsSupports);
kernelZero.SetArgument(0, itemsSupportsBuf);
kernelZero.SetArguments(null, itemsSupportsCountInt, null, itemsSupportsCountInt);
kernelZero.Launch1D(queue, Kernels.GetOptimalGlobalSize(localSize, itemsSupportsCountUInt), localSize);
Buffer <int> uniqueItemBuf = new Buffer <int>(context, queue, 1);
kernelCopyIfEqual.SetArgument(0, itemsBuf);
kernelCopyIfEqual.SetArgument(4, itemsSupportsBuf);
kernelCopyIfEqual.SetArguments(null, itemsCountInt, 0, itemsCountInt,
null, itemsSupportsCountInt, null, itemsCountInt);
kernelCopyIfEqual.SetArgument(8, uniqueItemBuf);
int uniqueItemIndex = 0;
for (int supportsOffset = 0; supportsOffset < itemsSupports.Length; supportsOffset += items.Length)
{
uniqueItemBuf.Value = uniqueItems[uniqueItemIndex];
uniqueItemBuf.Write();
kernelCopyIfEqual.SetArgument(6, supportsOffset);
kernelCopyIfEqual.Launch1D(queue, Kernels.GetOptimalGlobalSize(localSize, itemsCountUInt), localSize);
++uniqueItemIndex;
}
kernelSubstituteIfNotEqual.SetArgument(0, itemsSupportsBuf);
kernelSubstituteIfNotEqual.SetArguments(null, itemsSupportsCountInt, 0, itemsSupportsCountInt);
kernelSubstituteIfNotEqual.SetArgument(4, One);
kernelSubstituteIfNotEqual.SetArgument(5, Zero);
kernelSubstituteIfNotEqual.Launch1D(queue, Kernels.GetOptimalGlobalSize(localSize, itemsSupportsCountUInt), localSize);
#endregion
// time: 2n + n^2 * log^2(n) == O(n^2 * log^2(n))
#region finding supports for transactions
int transactionsSupportsCountInt = transactionsCountInt * uniqueItemsCount;
uint transactionsSupportsCountUInt = (uint)transactionsSupportsCountInt;
int[] transactionsSupportsCount = new int[] { transactionsSupportsCountInt };
Buffer <int> transactionsSupportsCountBuf = new Buffer <int>(context, queue, transactionsSupportsCount);
int[] transactionsSupports = new int[transactionsSupportsCountInt];
Buffer <int> transactionsSupportsBuf = new Buffer <int>(context, queue, transactionsSupports);
kernelZero.SetArgument(0, transactionsSupportsBuf);
kernelZero.SetArguments(null, transactionsSupportsCountInt, null, transactionsSupportsCountInt);
kernelZero.Launch1D(queue, Kernels.GetOptimalGlobalSize(localSize, transactionsSupportsCountUInt), localSize);
Buffer <int> itemsSupportsBufCopy = new Buffer <int>(context, queue, itemsSupports);
itemsSupportsBuf.Copy(0, itemsSupportsCountUInt, itemsSupportsBufCopy, 0);
kernelSegmentedOr.SetArgument(0, itemsSupportsBufCopy);
kernelSegmentedOr.SetArguments(null, itemsSupportsCountInt, null, null,
null, itemsCountInt);
for (int tn = 0; tn < transactionsCountInt; ++tn)
{
kernelSegmentedOr.SetArgument(2, transactionsStarts[tn]);
kernelSegmentedOr.SetArgument(3, transactionsLengths[tn]);
globalSize = (uint)transactionsLengths[tn];
for (int scaling = 1; scaling < transactionsLengths[tn]; scaling *= (int)localSize)
{
kernelSegmentedOr.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelSegmentedOr.Launch2D(queue, globalSize, localSize, uniqueItemsCountUInt, 1);
globalSize /= localSize;
}
int offset = transactionsStarts[tn];
int outputOffset = tn;
for (int i = 0; i < uniqueItemsCount; ++i)
{
itemsSupportsBufCopy.Copy((uint)offset, 1, transactionsSupportsBuf, (uint)outputOffset);
if (i == uniqueItemsCount - 1)
{
break;
}
offset += itemsCountInt;
outputOffset += transactionsCountInt;
}
}
#endregion
// time: 2n + n^2 * log^2(n) == O(n^2 * log^2(n))
#region finding supports for customers
int customersSupportsCountInt = customersCountInt * uniqueItemsCount;
uint customersSupportsCountUInt = (uint)customersSupportsCountInt;
int[] customersSupportsCount = new int[] { customersSupportsCountInt };
Buffer <int> customersSupportsCountBuf = new Buffer <int>(context, queue, customersSupportsCount);
int[] customersSupports = new int[customersSupportsCountInt];
Buffer <int> customersSupportsBuf = new Buffer <int>(context, queue, customersSupports);
kernelZero.SetArgument(0, customersSupportsBuf);
kernelZero.SetArguments(null, customersSupportsCountInt, null, customersSupportsCountInt);
kernelZero.Launch1D(queue, Kernels.GetOptimalGlobalSize(localSize, customersSupportsCountUInt), localSize);
Buffer <int> transactionsSupportsBufCopy = new Buffer <int>(context, queue, transactionsSupports);
transactionsSupportsBuf.Copy(0, transactionsSupportsCountUInt, transactionsSupportsBufCopy, 0);
kernelSegmentedOr.SetArgument(0, transactionsSupportsBufCopy);
kernelSegmentedOr.SetArguments(null, transactionsSupportsCountInt, null, null,
null, transactionsCountInt);
for (int cn = 0; cn < customersCountInt; ++cn)
{
kernelSegmentedOr.SetArgument(2, customersStarts[cn]);
kernelSegmentedOr.SetArgument(3, customersLengths[cn]);
globalSize = (uint)customersLengths[cn];
for (int scaling = 1; scaling < customersLengths[cn]; scaling *= (int)localSize)
{
kernelSegmentedOr.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelSegmentedOr.Launch2D(queue, globalSize, localSize, uniqueItemsCountUInt, 1);
globalSize /= localSize;
}
int offset = customersStarts[cn];
int outputOffset = cn;
for (int i = 0; i < uniqueItemsCount; ++i)
{
transactionsSupportsBufCopy.Copy((uint)offset, 1, customersSupportsBuf, (uint)outputOffset);
if (i == uniqueItemsCount - 1)
{
break;
}
offset += transactionsCountInt;
outputOffset += customersCountInt;
}
}
#endregion
// time: n + n * ( n*log^2(n) + n ) == O(n^2 * log^2(n))
#region litemsets of size 1
Buffer <int> customersSupportsBufCopy = new Buffer <int>(context, queue, customersSupports);
customersSupportsBuf.Copy(0, customersSupportsCountUInt, customersSupportsBufCopy, 0);
kernelSum.SetArgument(0, customersSupportsBufCopy);
kernelSum.SetArguments(null, customersSupportsCountInt, null, customersCountInt);
var litemsets = new List <ILitemset>();
var supportedLocations = new List <int>();
for (int un = 0; un < uniqueItemsCount; ++un)
{
int offset = un * customersCountInt;
kernelSum.SetArgument(2, offset);
globalSize = customersCountUInt;
for (int scaling = 1; scaling < customersCountInt; scaling *= (int)localSize)
{
kernelSum.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelSum.Launch1D(queue, globalSize, localSize);
globalSize /= localSize;
}
customersSupportsBufCopy.Read(tempValue, (uint)offset, 1);
int support = tempValue[0];
if (support < 0 || support > customersCountInt)
{
Zero.Read();
One.Read();
emptyIdBuf.Read();
itemsSupportsBuf.Read();
transactionsSupportsBufCopy.Read();
customersSupportsBufCopy.Read();
itemsSupportsBuf.Read();
transactionsSupportsBuf.Read();
customersSupportsBuf.Read();
throw new Exception(String.Format("support = {0} не имеет теоретических границ [0, {1}]!",
support, customersCountInt));
}
if (support < minSupport)
{
continue;
}
litemsets.Add(new Litemset(support, uniqueItems[un]));
supportedLocations.Add(un);
}
#endregion
if (progressOutput)
{
watch.Stop();
Log.WriteLine("отдельные элементы @ {0} мс", watch.ElapsedMilliseconds);
watch.Start();
}
// time: n*log^2(n) + n + n * ( 0.5n + n^2 + 0.5n * n^2 * log^2(n) + n*log^2(n) ) == O(n^4 * log^2(n))
#region litemsets of size 2 and above
bool moreCanBeFound = true;
kernelMax.SetArgument(0, customersSupportsBufCopy);
kernelMax.SetArguments(null, customersSupportsCountInt, null, customersSupportsCountInt);
globalSize = customersSupportsCountUInt;
for (int scaling = 1; scaling < customersSupportsCountInt; scaling *= (int)localSize)
{
kernelMax.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelMax.Launch1D(queue, globalSize, localSize);
globalSize /= localSize;
}
bool[] newSupportedLocations = new bool[uniqueItemsCount];
for (int i = 0; i < uniqueItemsCount; ++i)
{
newSupportedLocations[i] = false;
}
customersSupportsBufCopy.Read(tempValue, 0, 1);
if (tempValue[0] < minSupport)
{
moreCanBeFound = false;
}
else if (supportedLocations.Count == 1)
{
moreCanBeFound = false;
}
if (moreCanBeFound)
{
int[] indices = new int[uniqueItemsCount];
int[] locations = new int[uniqueItemsCount];
Buffer <int> locationsBuf = new Buffer <int>(context, queue, locations);
int currLength = 1;
Buffer <int> currLengthBuf = new Buffer <int>(context, queue, 1);
kernelMulitItemSupport.SetArgument(0, transactionsSupportsBufCopy);
kernelMulitItemSupport.SetArguments(null, transactionsSupportsCountInt,
transactionsCountInt);
kernelMulitItemSupport.SetArgument(3, locationsBuf);
kernelMulitItemSupport.SetArgument(4, currLengthBuf);
kernelOr.SetArgument(0, transactionsSupportsBufCopy);
kernelOr.SetArguments(null, transactionsSupportsCountInt, null, null);
while (moreCanBeFound)
{
++currLength;
currLengthBuf.Value = currLength;
currLengthBuf.Write(false);
uint litemsetOffset = (uint)litemsets.Count;
for (int i = 0; i < currLength; ++i)
{
indices[i] = i;
}
int currIndex = currLength - 1;
while (true)
{
#region initialization of int[] locations
for (int i = 0; i < currLength; ++i)
{
locations[i] = supportedLocations[indices[i]];
}
locationsBuf.Write(false, 0, (uint)currLength);
#endregion
#region copying of relevant parts of int[] transactionsSupports
for (int i = 0; i < currLength; ++i)
{
#region debugging
//if (currLength == 2
// && uniqueItems[supportedLocations[indices[0]]] == 2
// && uniqueItems[supportedLocations[indices[1]]] == 3)
//{
// // debug only
// queue.Finish();
// transactionsSupportsBufCopy.Read();
// //transactionsSupportsBuf.Read();
//}
#endregion
int offset = supportedLocations[indices[i]] * transactionsCountInt;
transactionsSupportsBuf.Copy((uint)offset, transactionsCountUInt,
transactionsSupportsBufCopy, (uint)offset);
}
#endregion
int stepNo = 1;
while (stepNo < currLength)
{
kernelMulitItemSupport.SetArgument(5, stepNo);
kernelMulitItemSupport.Launch2D(queue, transactionsCountUInt, 1, (uint)currLength, 1);
stepNo *= 2;
queue.Finish();
}
for (int cn = 0; cn < customersCountInt; ++cn)
{
kernelOr.SetArgument(2, supportedLocations[indices[0]] * transactionsCountInt + customersStarts[cn]);
kernelOr.SetArgument(3, customersLengths[cn]);
globalSize = (uint)customersLengths[cn];
for (int scaling = 1; scaling < customersLengths[cn]; scaling *= (int)localSize)
{
kernelOr.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelOr.Launch1D(queue, globalSize, localSize);
globalSize /= localSize;
}
}
kernelSum.SetArgument(0, transactionsSupportsBufCopy);
kernelSum.SetArguments(null, transactionsSupportsCountInt, null, transactionsCountInt);
int offset2 = supportedLocations[indices[0]] * transactionsCountInt;
kernelSum.SetArgument(2, offset2);
globalSize = transactionsCountUInt;
for (int scaling = 1; scaling < transactionsCountInt; scaling *= (int)localSize)
{
kernelSum.SetArgument(4, scaling);
globalSize = Kernels.GetOptimalGlobalSize(localSize, globalSize);
kernelSum.Launch1D(queue, globalSize, localSize);
globalSize /= localSize;
}
transactionsSupportsBufCopy.Read(tempValue, (uint)offset2, 1);
if (tempValue[0] > transactionsSupportsCountInt)
{
// это означает, что данные были повреждены из-за:
// a) некоторая ошибка памяти gpu,
// б) плохая синхронизация,
// c) или какая-то другая неизвестная вещь
// эта ситуация встречается редко, только с очень большими данными
// Неизвестная причина неизвестна
itemsSupportsBufCopy.Read();
transactionsSupportsBufCopy.Read();
customersSupportsBufCopy.Read();
itemsSupportsBuf.Read();
transactionsSupportsBuf.Read();
customersSupportsBuf.Read();
// эта ошибка является серьезной: она предотвращает продолжение алгоритма
throw new Exception(String.Format("{0} больше {1}, невозможно!\n {2}",
tempValue[0], transactionsSupportsCountInt, String.Join(",", transactionsSupports)));
}
if (tempValue[0] >= minSupport)
{
ILitemset l = new Litemset(new List <IItem>());
l.SetSupport(tempValue[0]);
for (int i = 0; i < currLength; ++i)
{
int index = indices[i];
int spprtd = supportedLocations[index];
l.AddItem(new Item(uniqueItems[spprtd]));
newSupportedLocations[spprtd] = true;
}
litemsets.Add(l);
}
#region selecting new indices (from supportedLocations) to analyze
if ((currIndex == 0 && indices[currIndex] == supportedLocations.Count - currLength) ||
currLength == supportedLocations.Count)
{
break;
}
if (indices[currIndex] == supportedLocations.Count - currLength + currIndex)
{
++indices[currIndex - 1];
if (indices[currIndex - 1] + 1 < indices[currIndex])
{
while (currIndex < currLength - 1)
{
indices[currIndex] = indices[currIndex - 1] + 1;
++currIndex;
}
indices[currIndex] = indices[currIndex - 1] + 1;
}
else
{
--currIndex;
}
continue;
}
indices[currIndex] += 1;
#endregion
}
if (progressOutput)
{
Log.WriteLine("наконец, {0}, до настоящего времени найдено {1} l-itemsets", currLength, litemsets.Count);
}
if (litemsets.Count <= litemsetOffset || currLength >= uniqueItemsCount)
{
moreCanBeFound = false;
break;
}
supportedLocations.Clear();
for (int i = 0; i < uniqueItemsCount; ++i)
{
if (newSupportedLocations[i])
{
supportedLocations.Add(i);
newSupportedLocations[i] = false;
}
}
if (currLength >= supportedLocations.Count)
{
// слишком мало поддерживаемых отдельных элементов, чтобы сделать кандидата требуемой длины
moreCanBeFound = false;
break;
}
}
queue.Finish();
currLengthBuf.Dispose();
locationsBuf.Dispose();
}
#endregion
if (progressOutput)
{
watch.Stop();
Log.WriteLine("Сгенерировал все l-itemsets, нашел {0} в {1} мс.", litemsets.Count, watch.ElapsedMilliseconds);
}
queue.Finish();
#region disposing of buffers
// входные буферы
itemsBuf.Dispose();
transactionsStartsBuf.Dispose();
customersStartsBuf.Dispose();
itemsCountBuf.Dispose();
transactionsCountBuf.Dispose();
customersCountBuf.Dispose();
// создание элементовПоддержка
emptyIdBuf.Dispose();
// хранение уникальных предметов
uniqueItemBuf.Dispose();
uniqueItemsBuf.Dispose();
// поддерживает хранение
itemsSupportsBuf.Dispose();
itemsSupportsCountBuf.Dispose();
itemsSupportsBufCopy.Dispose();
transactionsSupportsBuf.Dispose();
transactionsSupportsCountBuf.Dispose();
transactionsSupportsBufCopy.Dispose();
customersSupportsBuf.Dispose();
customersSupportsCountBuf.Dispose();
customersSupportsBufCopy.Dispose();
// временная память
tempItemsBuf.Dispose();
itemsRemainingBuf.Dispose();
// константы
Zero.Dispose();
One.Dispose();
#endregion
queue.Dispose();
Kernels.Dispose();
return(litemsets);
}