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e5b9f41
汉化 2022-9-25
RichardLingo Sep 25, 2022
0a1d916
2022-9-27 修复上一次汉化造成的程序错误
RichardLingo Sep 26, 2022
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2 changes: 1 addition & 1 deletion BrainSimulator/MainWindow.xaml.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -397,7 +397,7 @@ private void MainMenu_MouseEnter(object sender, MouseEventArgs e)

if (此神经元数组 != null && !useServers) ThreadCount.Text = 此神经元数组.获取线程数().ToString();
else ThreadCount.Text = "";
if (此神经元数组 != null) Refractory.Text = 此神经元数组.GetRefractoryDelay().ToString();
if (此神经元数组 != null) Refractory.Text = 此神经元数组.GetRefractoryDelay获取耐火材料延迟().ToString();
else Refractory.Text = "";

if (currentFileName != "" &&
Expand Down
4 changes: 2 additions & 2 deletions BrainSimulator/Module/ModuleBoundary.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -111,7 +111,7 @@ public override void Fire()
for (int i = 0; i < source.Width; i++)
{
int index = source.GetNeuronIndexAt(i, j);
neuronValues[i, j] = MainWindow.此神经元数组.GetNeuronLastCharge(index);
neuronValues[i, j] = MainWindow.此神经元数组.GetNeuronLastCharge获取神经元上一次的脉冲(index);
neuronValuesI[i, j] = (int)neuronValues[i, j];
}

Expand Down Expand Up @@ -165,7 +165,7 @@ public override void Fire()
int index = mv.GetNeuronIndexAt(i, j);
float lastCharge = boundaryValues[i, j];
if (cornerValues[i, j] != 0) lastCharge = 0.99f;
MainWindow.此神经元数组.SetNeuronLastCharge(index, lastCharge);
MainWindow.此神经元数组.SetNeuronLastCharge设置神经元上一次的脉冲(index, lastCharge);
}
}
//if you want the dlg to update, use the following code whenever any parameter changes
Expand Down
2 changes: 1 addition & 1 deletion BrainSimulator/Module/ModuleBoundarySegments.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -199,7 +199,7 @@ void FindSegments()
for (int i = 0; i < naSource.Width; i++)
{
int index = naSource.GetNeuronIndexAt(i, j);
float lastCharge = MainWindow.此神经元数组.GetNeuronLastCharge(index);
float lastCharge = MainWindow.此神经元数组.GetNeuronLastCharge获取神经元上一次的脉冲(index);
if (lastCharge > 0.1f)
{
firingPoints.Add(new Point(i, j));
Expand Down
12 changes: 6 additions & 6 deletions BrainSimulator/神经元处理.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -35,10 +35,10 @@ public void 设置所有神经元( 神经元 n)
else
{
int i = n.id;
SetNeuronCurrentCharge(i, n.当前更改);
SetNeuronLastCharge(i, n.最后更改);
SetNeuronCurrentCharge设置神经元当前的脉冲(i, n.当前更改);
SetNeuronLastCharge设置神经元上一次的脉冲(i, n.最后更改);
设置神经元标签(i, n.标签);
SetNeuronLeakRate(i, n.leakRate泄露速度);
SetNeuronLeakRate设置神经元释放率(i, n.leakRate泄露速度);
设置神经元模型(i, (int)n.模型字段);
SetNeuronAxonDelay(i, n.突触延迟);
}
Expand All @@ -54,11 +54,11 @@ public 神经元 获取用于绘图的神经元(int i)
{
神经元 retVal = new 神经元();
retVal.id = i;
retVal.LastCharge = GetNeuronLastCharge(i);
retVal.LastCharge = GetNeuronLastCharge获取神经元上一次的脉冲(i);
retVal.是否使用 = 获取神经元是否使用中(i);
retVal.标签 = 获取神经元标签(i);
retVal.模型字段 = (神经元.模型类型)获取神经元模型(i);
retVal.leakRate泄露速度 = GetNeuronLeakRate(i);
retVal.leakRate泄露速度 = GetNeuronLeakRate获取神经元释放率(i);
retVal.突触延迟 = GetNeuronAxonDelay(i);
return retVal;
}
Expand Down Expand Up @@ -111,7 +111,7 @@ public List<突触> 获取突触列表(int i)
}
public List<突触> 从列表中获取突触(int i)
{
return 变换为突触列表(GetSynapsesFrom(i));
return 变换为突触列表(GetSynapsesFrom获取突触源(i));
}
List<突触> 变换为突触列表(byte[] input)
{
Expand Down
10 changes: 5 additions & 5 deletions CSEngineTest/MainWindow.xaml.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -33,11 +33,11 @@ private void Button_Click(object sender, RoutedEventArgs e)
theNeuronArray.设置线程数量(16);
threads = theNeuronArray.获取线程数();

theNeuronArray.SetNeuronCurrentCharge(1, 1.4f);
theNeuronArray.SetNeuronCurrentCharge(2, 0.9f);
theNeuronArray.SetNeuronCurrentCharge设置神经元当前的脉冲(1, 1.4f);
theNeuronArray.SetNeuronCurrentCharge设置神经元当前的脉冲(2, 0.9f);
theNeuronArray.Fire(); //should transfer current chargest to last
float a = theNeuronArray.GetNeuronLastCharge(1);
float b = theNeuronArray.GetNeuronLastCharge(2);
float a = theNeuronArray.GetNeuronLastCharge获取神经元上一次的脉冲(1);
float b = theNeuronArray.GetNeuronLastCharge获取神经元上一次的脉冲(2);

string s0 = theNeuronArray.获取神经元标签(1);
theNeuronArray.设置神经元标签(1, "Fred");
Expand Down Expand Up @@ -83,7 +83,7 @@ private void Button_Click(object sender, RoutedEventArgs e)
}
});
for (int i = 0; i < neuronCount / 100; i++)
theNeuronArray.SetNeuronCurrentCharge(100 * i, 1);
theNeuronArray.SetNeuronCurrentCharge设置神经元当前的脉冲(100 * i, 1);
MessageBox.Show("突触和充电完成");
Stopwatch sw = new Stopwatch();
string msg = "";
Expand Down
4 changes: 2 additions & 2 deletions CSEngineTest/XmlFile.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -91,11 +91,11 @@ public static bool Load(ref NeuronHandler theNeuronArray, string fileName)
if (n != null)
{
int id = n.Id;
theNeuronArray.SetNeuronCurrentCharge(id, n.CurrentCharge);
theNeuronArray.SetNeuronCurrentCharge设置神经元当前的脉冲(id, n.CurrentCharge);
if (n.Label != "")
theNeuronArray.设置神经元标签(id, n.Label);
if (n.LeakRate != 0.1f)
theNeuronArray.SetNeuronLeakRate(id, n.LeakRate);
theNeuronArray.SetNeuronLeakRate设置神经元释放率(id, n.LeakRate);
if (n.Model != modelType.Std)
theNeuronArray.设置神经元模型(id, (int)n.Model);
foreach (S s in n.Synapses)
Expand Down
110 changes: 55 additions & 55 deletions NeuronEngineWrapper/神经元引擎包装器.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -19,120 +19,120 @@ namespace NeuronEngine
}
��Ԫ�б�Base::~��Ԫ�б�Base()
{
delete theNeuronArray;
delete theNeuronArray����Ԫ�б�;
}
void ��Ԫ�б�Base::Initialize(int neuronCount)
void ��Ԫ�б�Base::Initialize(int ��Ԫ����)
{
if (theNeuronArray != NULL)
delete theNeuronArray;
theNeuronArray = new NeuronEngine::��Ԫ�б�Base();
theNeuronArray->Initialize(neuronCount);
if (theNeuronArray����Ԫ�б� != NULL)
delete theNeuronArray����Ԫ�б�;
theNeuronArray����Ԫ�б� = new NeuronEngine::��Ԫ�б�Base();
theNeuronArray����Ԫ�б�->Initialize(��Ԫ����);
}
void ��Ԫ�б�Base::Fire()
{
theNeuronArray->Fire();
theNeuronArray����Ԫ�б�->Fire();
}
int ��Ԫ�б�Base::��ȡ�����С()
{
return theNeuronArray->��ȡ�����С();
return theNeuronArray����Ԫ�б�->��ȡ�����С();
}
long long ��Ԫ�б�Base::��ȡ�δ�()
{
return theNeuronArray->��ȡ�δ�();
return theNeuronArray����Ԫ�б�->��ȡ�δ�();
}
void ��Ԫ�б�Base::���ôδ�(long long i)
{
theNeuronArray->���ôδ�(i);
theNeuronArray����Ԫ�б�->���ôδ�(i);
}
int ��Ԫ�б�Base::��ȡ�������Ԫ����()
{
return theNeuronArray->��ȡ��������();
return theNeuronArray����Ԫ�б�->��ȡ��������();
}
void ��Ԫ�б�Base::�����߳�����(int theCount)
{
theNeuronArray->�����߳�����(theCount);
theNeuronArray����Ԫ�б�->�����߳�����(theCount);
}
int ��Ԫ�б�Base::��ȡ�߳���()
{
return theNeuronArray->��ȡ�߳�����();
return theNeuronArray����Ԫ�б�->��ȡ�߳�����();
}
void ��Ԫ�б�Base::SetRefractoryDelay(int i)
{
theNeuronArray->SetRefractoryDelay(i);
theNeuronArray����Ԫ�б�->SetRefractoryDelay(i);
}
int ��Ԫ�б�Base::GetRefractoryDelay()
int ��Ԫ�б�Base::GetRefractoryDelay��ȡ�ͻ�����ӳ�()
{
return theNeuronArray->GetRefractoryDelay();
return theNeuronArray����Ԫ�б�->GetRefractoryDelay();
}
float ��Ԫ�б�Base::GetNeuronLastCharge(int i)
float ��Ԫ�б�Base::GetNeuronLastCharge��ȡ��Ԫ��һ�ε�����(int i)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
return n->GetLastCharge();
}
void ��Ԫ�б�Base::SetNeuronLastCharge(int i, float value)
void ��Ԫ�б�Base::SetNeuronLastCharge������Ԫ��һ�ε�����(int i, float value)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
n->SetLastCharge(value);
}
void ��Ԫ�б�Base::SetNeuronCurrentCharge(int i, float value)
void ��Ԫ�б�Base::SetNeuronCurrentCharge������Ԫ��ǰ������(int i, float value)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
n->SetCurrentCharge(value);
}
void ��Ԫ�б�Base::AddToNeuronCurrentCharge(int i, float value)
void ��Ԫ�б�Base::AddToNeuronCurrentCharge������Ԫ��ǰ������(int i, float value)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
n->AddToCurrentValue(value);
}
float ��Ԫ�б�Base::GetNeuronLeakRate(int i)
float ��Ԫ�б�Base::GetNeuronLeakRate��ȡ��Ԫ�ͷ���(int i)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
return n->��ȡй¶��();
}
void ��Ԫ�б�Base::SetNeuronLeakRate(int i, float value)
void ��Ԫ�б�Base::SetNeuronLeakRate������Ԫ�ͷ���(int i, float value)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
n->������(value);
}
int ��Ԫ�б�Base::GetNeuronAxonDelay(int i)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
return n->GetAxonDelay();
}
void ��Ԫ�б�Base::SetNeuronAxonDelay(int i, int value)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
n->SetAxonDelay(value);
}
long long ��Ԫ�б�Base::GetNeuronLastFired(int i)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
return n->GetLastFired();
}
int ��Ԫ�б�Base::��ȡ��Ԫģ��(int i)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
return (int)n->��ȡģ��();
}
void ��Ԫ�б�Base::������Ԫģ��(int i, int model)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
n->����ģ��((��ԪBase::modelType) model);
}
bool ��Ԫ�б�Base::��ȡ��Ԫ�Ƿ�ʹ����(int i)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(i);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i);
return n->GetInUse();
}
void ��Ԫ�б�Base::������Ԫ��ǩ(int i, String^ newLabel)
{
const wchar_t* chars = (const wchar_t*)(Marshal::StringToHGlobalAuto(newLabel)).ToPointer();
theNeuronArray->��ȡ��Ԫ(i)->���ñ�ǩ(chars);
theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i)->���ñ�ǩ(chars);
Marshal::FreeHGlobal(IntPtr((void*)chars));
}
String^ ��Ԫ�б�Base::��ȡ��Ԫ��ǩ(int i)
{
wchar_t* labelChars = theNeuronArray->��ȡ��Ԫ(i)->��ȡ��ǩ();
wchar_t* labelChars = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(i)->��ȡ��ǩ();
if (labelChars != NULL)
{
std::wstring label(labelChars);
Expand All @@ -145,74 +145,74 @@ namespace NeuronEngine
return str;
}
}
String^ ��Ԫ�б�Base::GetRemoteFiring()
String^ ��Ԫ�б�Base::GetRemoteFiring��ȡԶ�̼���()
{
std::string remoteFiring = theNeuronArray->GetRemoteFiringString();
std::string remoteFiring = theNeuronArray����Ԫ�б�->GetRemoteFiringString();
String^ str = gcnew String(remoteFiring.c_str());
return str;
}
cli::array<byte>^ ��Ԫ�б�Base::GetRemoteFiringSynapses()
cli::array<byte>^ ��Ԫ�б�Base::GetRemoteFiringSynapses��ȡԶ�̼���ͻ��()
{
std::vector<ͻ��Base> tempVec;
ͻ��Base s1 = theNeuronArray->GetRemoteFiringSynapse();
ͻ��Base s1 = theNeuronArray����Ԫ�б�->GetRemoteFiringSynapse();
while (s1.��ȡĿ����Ԫ() != NULL)
{
tempVec.push_back(s1);
s1 = theNeuronArray->GetRemoteFiringSynapse();
s1 = theNeuronArray����Ԫ�б�->GetRemoteFiringSynapse();
}
return ReturnArray(tempVec);
}

void ��Ԫ�б�Base::����ͻ��(int src, int dest, float weight, int model, bool noBackPtr)
{
if (src < 0)return;
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(src);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(src);
if (dest < 0)
n->����ͻ��((��ԪBase*)(long long)dest, weight, (ͻ��Base::modelType) model, noBackPtr);
else
n->����ͻ��(theNeuronArray->��ȡ��Ԫ(dest), weight, (ͻ��Base::modelType)model, noBackPtr);
n->����ͻ��(theNeuronArray����Ԫ�б�->��ȡ��Ԫ(dest), weight, (ͻ��Base::modelType)model, noBackPtr);
}
void ��Ԫ�б�Base::��������ͻ��(int src, int dest, float weight, int model)
{
if (dest < 0)return;
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(dest);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(dest);
if (src < 0)
n->AddSynapseFrom((��ԪBase*)(long long)src, weight, (ͻ��Base::modelType)model);
else
n->AddSynapseFrom(theNeuronArray->��ȡ��Ԫ(src), weight, (ͻ��Base::modelType)model);
n->AddSynapseFrom(theNeuronArray����Ԫ�б�->��ȡ��Ԫ(src), weight, (ͻ��Base::modelType)model);
}
void ��Ԫ�б�Base::ɾ��ͻ��(int src, int dest)
{
if (src < 0) return;
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(src);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(src);
if (dest < 0)
n->ɾ��ͻ��((��ԪBase*)(long long)dest);
else
n->ɾ��ͻ��(theNeuronArray->��ȡ��Ԫ(dest));
n->ɾ��ͻ��(theNeuronArray����Ԫ�б�->��ȡ��Ԫ(dest));
}
void ��Ԫ�б�Base::ɾ������ͻ��(int src, int dest)
{
if (dest < 0)return;
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(dest);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(dest);
if (src < 0)
n->ɾ��ͻ��((��ԪBase*)(long long)src);
else
n->ɾ��ͻ��(theNeuronArray->��ȡ��Ԫ(src));
n->ɾ��ͻ��(theNeuronArray����Ԫ�б�->��ȡ��Ԫ(src));
}


cli::array<byte>^ ��Ԫ�б�Base::��ȡͻ������(int src)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(src);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(src);
n->GetLock();
std::vector<ͻ��Base> tempVec = n->��ȡͻ������();
n->ClearLock();
return ReturnArray(tempVec);

}
cli::array<byte>^ ��Ԫ�б�Base::GetSynapsesFrom(int src)
cli::array<byte>^ ��Ԫ�б�Base::GetSynapsesFrom��ȡͻ��Դ(int src)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(src);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(src);
n->GetLock();
std::vector<ͻ��Base> tempVec = n->GetSynapsesFrom();
n->ClearLock();
Expand Down Expand Up @@ -257,7 +257,7 @@ namespace NeuronEngine
};
cli::array<byte>^ ��Ԫ�б�Base::��ȡ��Ԫ(int src)
{
��ԪBase* n = theNeuronArray->��ȡ��Ԫ(src);
��ԪBase* n = theNeuronArray����Ԫ�б�->��ȡ��Ԫ(src);
const int byteCount = sizeof(Neuron);
cli::array<byte>^ tempArr = gcnew cli::array<byte>(byteCount);
Neuron n1;
Expand All @@ -279,11 +279,11 @@ namespace NeuronEngine
}
long long ��Ԫ�б�Base::��ȡ��ͻ����()
{
return theNeuronArray->GetTotalSynapseCount();
return theNeuronArray����Ԫ�б�->GetTotalSynapseCount();
}
long ��Ԫ�б�Base::��ȡʹ���е���Ԫ����()
{
return theNeuronArray->��ȡʹ������Ԫ����();
return theNeuronArray����Ԫ�б�->��ȡʹ������Ԫ����();
}
}
}
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