public VM()
{
_uiUpdater = new Progress <byte[]>(image => RawImages.Add(image));
_uiEffectUpdater = new Progress <byte[]>(image => EffectImages.Add(image));
_downloader = new TransformBlock <string, byte[]>(DownloadAsync,
new ExecutionDataflowBlockOptions {
MaxDegreeOfParallelism = DOWNLOAD_PARALLELISM
});
var broadcast = new BroadcastBlock <byte[]>(i => i);
_downloader.LinkTo(broadcast);
var originPicture = new ActionBlock <byte[]>(m => _uiUpdater.Report(m));
broadcast.LinkTo(originPicture);
var merger = new TransformBlock <byte[][], byte[]>(imgs => MergeImages(imgs, "Sequence"));
var mergerMod = new TransformBlock <byte[][], byte[]>(imgs => MergeImages(imgs, "Mod"));
var reporter = new ActionBlock <byte[]>(m => _uiEffectUpdater.Report(m));
var buffer = new BufferBlock <byte[]>();
broadcast.LinkTo(buffer);
var options = new ExecutionDataflowBlockOptions {
BoundedCapacity = 2
};
var allEffects = (EffectType[])Enum.GetValues(typeof(EffectType));
var nonGreedy = new GroupingDataflowBlockOptions {
Greedy = false
};
var batches = Enumerable.Range(0, allEffects.Length / 3)
.Select(_ => new BatchBlock <byte[]>(3, nonGreedy))
.ToArray();
var batcheMods = Enumerable.Range(0, allEffects.Length / 3)
.Select(_ => new BatchBlock <byte[]>(3, nonGreedy))
.ToArray();
int g = 0;
foreach (EffectType effect in allEffects)
{
var effectTransform = new TransformBlock <byte[], byte[]>(
img => DoEffectAndUpdate(img, effect), options);
buffer.LinkTo(effectTransform);
var batch = batches[g / 3];
var batchMod = batcheMods[g % 3];
g++;
effectTransform.LinkTo(batch);
effectTransform.LinkTo(batchMod);
batch.LinkTo(merger);
batchMod.LinkTo(mergerMod);
merger.LinkTo(reporter);
mergerMod.LinkTo(reporter);
}
for (int i = 0; i < 500; i++)
{
_downloader.Post(URL);
}
}
void Start()
{
// Ambil komponen Raw Image dari GameObject
m_RawImage = GetComponent <RawImage>();
// Ubah Tekstur yang Anda tentukan di Inspector
m_RawImage.texture = m_Texture;
}
/// <summary>
/// 清理视图组件所持有的基础控件列表。
/// </summary>
private void CleanControlList()
{
Images.Clear();
RawImages.Clear();
Buttons.Clear();
InputFields.Clear();
Sliders.Clear();
}
public VM()
{
_uiUpdater = new Progress <byte[]>(image => RawImages.Insert(0, image));
_uiEffectUpdater = new Progress <byte[]>(image => EffectImages.Insert(0, image));
_downloader = new TransformBlock <string, byte[]>(DownloadAsync,
new ExecutionDataflowBlockOptions {
MaxDegreeOfParallelism = DOWNLOAD_PARALLELISM
});
var broadcast = new BroadcastBlock <byte[]>(i => i);
_downloader.LinkTo(broadcast);
var originPicture = new ActionBlock <byte[]>(m => _uiUpdater.Report(m));
broadcast.LinkTo(originPicture);
var reporter = new ActionBlock <byte[]>(m => _uiEffectUpdater.Report(m));
var buffer = new BufferBlock <byte[]>();
broadcast.LinkTo(buffer);
var options = new ExecutionDataflowBlockOptions {
BoundedCapacity = 2
};
foreach (EffectType effect in (EffectType[])Enum.GetValues(typeof(EffectType)))
{
var effectTransform = new TransformBlock <byte[], byte[]>(
img => DoEffectAndUpdate(img, effect), options);
effectTransform.LinkTo(reporter);
buffer.LinkTo(effectTransform);
}
for (int i = 0; i < 500; i++)
{
_downloader.Post(URL);
}
}
