public static void ForEach <TKey, TValue, TLocal>([NotNull] Dictionary <TKey, TValue> collection, [Pooled] Func <TLocal> initializeLocal, [Pooled] Action <KeyValuePair <TKey, TValue>, TLocal> action, [Pooled] Action <TLocal> finalizeLocal = null)
{
if (MaxDegreeOfParallelism <= 1 || collection.Count <= 1)
{
ExecuteBatch(collection, 0, collection.Count, initializeLocal, action, finalizeLocal);
}
else
{
var state = BatchState.Acquire();
try
{
var batchCount = Math.Min(MaxDegreeOfParallelism, collection.Count);
var batchSize = (collection.Count + (batchCount - 1)) / batchCount;
// Kick off a worker, then perform work synchronously
state.AddReference();
Fork(collection, batchSize, MaxDegreeOfParallelism, initializeLocal, action, finalizeLocal, state);
// Wait for all workers to finish
if (state.ActiveWorkerCount != 0)
{
state.Finished.WaitOne();
}
}
finally
{
state.Release();
}
}
}
public static void ForEach <TKey, TValue, TLocal>([NotNull] Dictionary <TKey, TValue> collection, [Pooled] Func <TLocal> initializeLocal, [Pooled] Action <KeyValuePair <TKey, TValue>, TLocal> action, [Pooled] Action <TLocal> finalizeLocal = null)
{
if (MaxDegreeOfParallelism <= 1 || collection.Count <= 1)
{
ExecuteBatch(collection, 0, collection.Count, initializeLocal, action, finalizeLocal);
}
else
{
var state = BatchState.Acquire();
try
{
var batchCount = Math.Min(MaxDegreeOfParallelism, collection.Count);
var batchSize = (collection.Count + (batchCount - 1)) / batchCount;
// Kick off a worker, then perform work synchronously
state.AddReference();
Fork(collection, batchSize, MaxDegreeOfParallelism, initializeLocal, action, finalizeLocal, state);
// Wait for all workers to finish
state.WaitCompletion(collection.Count);
var ex = Interlocked.Exchange(ref state.ExceptionThrown, null);
if (ex != null)
{
throw ex;
}
}
finally
{
state.Release();
}
}
}
public static void ForEach <TKey, TValue>(Dictionary <TKey, TValue> collection, [Pooled] Action <KeyValuePair <TKey, TValue> > action)
{
if (MaxDregreeOfParallelism <= 1 || collection.Count <= 1)
{
ExecuteBatch(collection, 0, collection.Count, action);
}
else
{
var state = BatchState.Acquire();
try
{
int batchCount = Math.Min(MaxDregreeOfParallelism, collection.Count);
int batchSize = (collection.Count + (batchCount - 1)) / batchCount;
// Kick off a worker, then perform work synchronously
state.AddReference();
Fork(collection, batchSize, MaxDregreeOfParallelism, action, state);
// Wait for all workers to finish
if (state.ActiveWorkerCount != 0)
{
state.Finished.WaitOne();
}
}
finally
{
state.Release();
}
}
}
public static void For <TLocal>(int fromInclusive, int toExclusive, [Pooled] Func <TLocal> initializeLocal, [Pooled] Action <int, TLocal> action, [Pooled] Action <TLocal> finalizeLocal = null)
{
using (Profile(action))
{
if (fromInclusive > toExclusive)
{
var temp = fromInclusive;
fromInclusive = toExclusive + 1;
toExclusive = temp + 1;
}
var count = toExclusive - fromInclusive;
if (count == 0)
{
return;
}
if (MaxDegreeOfParallelism <= 1 || count == 1)
{
ExecuteBatch(fromInclusive, toExclusive, initializeLocal, action, finalizeLocal);
}
else
{
var state = BatchState.Acquire();
state.WorkDone = state.StartInclusive = fromInclusive;
try
{
var batchCount = Math.Min(MaxDegreeOfParallelism, count);
var batchSize = (count + (batchCount - 1)) / batchCount;
// Kick off a worker, then perform work synchronously
state.AddReference();
Fork(toExclusive, batchSize, MaxDegreeOfParallelism, initializeLocal, action, finalizeLocal, state);
// Wait for all workers to finish
if (state.WorkDone < toExclusive)
{
state.Finished.WaitOne();
}
var ex = Interlocked.Exchange(ref state.ExceptionThrown, null);
if (ex != null)
{
throw ex;
}
}
finally
{
state.Release();
}
}
}
}
public static void For(int fromInclusive, int toExclusive, [Pooled] Action <int> action)
{
using (Profile(action))
{
if (fromInclusive > toExclusive)
{
var temp = fromInclusive;
fromInclusive = toExclusive + 1;
toExclusive = temp + 1;
}
var count = toExclusive - fromInclusive;
if (count == 0)
{
return;
}
if (MaxDegreeOfParallelism <= 1 || count == 1)
{
ExecuteBatch(fromInclusive, toExclusive, action);
}
else
{
var state = BatchState.Acquire();
state.StartInclusive = fromInclusive;
try
{
var batchCount = Math.Min(MaxDegreeOfParallelism, count);
var batchSize = (count + (batchCount - 1)) / batchCount;
// Kick off a worker, then perform work synchronously
state.AddReference();
Fork(toExclusive, batchSize, MaxDegreeOfParallelism, action, state);
// Wait for all workers to finish
if (state.ActiveWorkerCount != 0)
{
state.Finished.WaitOne();
}
}
finally
{
state.Release();
}
}
}
}
