/// <summary>
/// Write an internal error to the log. Also prints stack trace along with the message
/// </summary>
/// <param name="msg">the message to write to the log</param>
public void WriteExceptionToLog(String msg)
{
WriteToLog("ERROR: " + msg + OSEnvironment.getStackTrace(), true);
//Product #178, Topic #61: beep on the client side only upon user errors (e.g. duplicate record), otherwise only if started from the studio (F7)
if (ShouldBeep)
{
SoundBeep();
}
}
/// <summary>Get temp folder on the system</summary>
/// <returns></returns>
private static String GetEnvTempFolder()
{
String tempFolder;
#if !PocketPC
tempFolder = OSEnvironment.get("TEMP");
#else
tempFolder = OSEnvironment.getTempFolder();
#endif
return(tempFolder);
}
/// <summary>
/// CTOR
/// </summary>
private EnvControlsPersistencyPath()
{
#if PocketPC
_defaultPath = OSEnvironment.getAssemblyFolder();
#else
//1. If the path is not defined (default) then the files will be created in the (same folder as the form state persistency file.)
//• In xp: C:\Documents and Settings\<user>\Application Data\MSE\<APP GUI ID>\
//• In Win 7 and Win 8: C:\Users\<user>\AppData\Roaming\MSE\<APP GUI ID>
_defaultPath = OSEnvironment.get("APPDATA")
+ Path.DirectorySeparatorChar
+ (UtilStrByteMode.isLocaleDefLangJPN()
? "MSJ"
: "MSE")
+ Path.DirectorySeparatorChar;
#endif
}
/// <summary>
/// CTOR
/// </summary>
private FormUserState()
{
IsDisabled = false;
#if PocketPC
_dirPath = OSEnvironment.getAssemblyFolder();
#else
_dirPath = OSEnvironment.get("APPDATA")
+ Path.DirectorySeparatorChar
+ (UtilStrByteMode.isLocaleDefLangJPN()
? "MSJ"
: "MSE")
+ Path.DirectorySeparatorChar
+ Manager.Environment.GetGUID()
+ Path.DirectorySeparatorChar;
#endif
}
/// <summary>Initialize StudioLauncher error log --> %TEMP%\RCLauncherError.log</summary>
private void InitLogWriter()
{
String logTarget = OSEnvironment.get("TEMP") + @"\RCLauncherError.log";
try
{
_logWriter = new StreamWriter(new FileStream(logTarget, FileMode.Append, FileAccess.Write, FileShare.Read));
}
catch (IOException)
{
// if the log file is in use, insert the current process ID into the name: *.pid.suffix
logTarget = logTarget.Insert(logTarget.LastIndexOf('.'), "." + System.Diagnostics.Process.GetCurrentProcess().Id.ToString());
try
{
_logWriter = new StreamWriter(new FileStream(logTarget, FileMode.Append, FileAccess.Write, FileShare.Read));
}
catch { }
}
catch { }
if (_logWriter != null)
{
_logWriter.AutoFlush = true;
}
}
static void DoExperiment(
int EXP_ID,
string algoStr,
string netStr,
int size,
double h_trg,
int expd,
int envSeed, //環境のシード
int linkNum,
double cluster, //クラスタ係数
string dirname
)
{
//ディレクトリを作成
L.gDirectory(dirname);
//出力するファイルを宣言
L.gDefine("roundacc,aveacc");
//条件を表示
{
L.g("all").WriteLine("");
L.g("all").Write("envSeed: " + envSeed);
L.g("all").Write(" EXP_ID: " + EXP_ID); //実験IDを
L.g("all").Write(" Algo: " + algoStr); //アルゴリズムの名前を表示
L.g("all").Write(" agentnum: " + size);
L.g("all").Write(" linkNum: " + linkNum);
L.g("all").Write(" cluster: " + cluster);//クラスタ係数
L.g("all").Write(" h_trg: " + h_trg);
L.g("all").Write(" expd: " + expd);
L.g("roundacc").WriteLine("");
}
{ //実験一回し
Experiment exp = new Experiment(150, 2000); //150ラウンド，2000ステップの実験
exp.SetEnvsetSeed(envSeed);
exp.SetFactSeed(0);
NetworkGenerator generator = null;
//環境を作る
if (netStr == "WS")
{
generator = new WSmodelNetworkGenerator(size, expd, 0.12);
}
else if (netStr == "BA")
{
generator = new BAModelNetworkGenerator(size, 4, 2);
}
else if (netStr == "Random")
{
generator = new RandomNetworkGenerator(size, 16);
}
//リーダーネットワークの導入 2014_0707追加
else if (netStr == "Leader")
{
generator = new LeaderNetworkGenerator(size, expd, 0.12, linkNum);
}
//シェルを作る
generator.NodeCreate += () => new AgentIO();
//generateしてくれる。
OSEnvironment env = new OSEnvironment(generator, (int)(size * 0.05));
//エージェントに脳みそをいれてやる
foreach (AgentIO agentIO in env.Network.Nodes)
{
agentIO.Algorithm = (AlgorithmFactory.CreateAlgorithm(algoStr, h_trg));
}
//ファイルにネットワークの情報を表示
L.g("env").WriteLine("" + env);
L.g("env").Flush();
exp.Environment = env;
//実験を実行
var expResult = exp.Run();
}
//ファイルに書き込み
L.Flush();
}
static void AutoExperiment()
{
//ディレクトリを作成
L.gDirectory(DateTime.Now.ToString("yyyyMMdd_HHmmss"));
L.gDefine("stepbelief,roundacc,aveacc,time,env");
//集団規模のリスト
//int[] sizeList = { 100, 250, 500, 750, 1000, 1500, 2000, 2500 };
int[] sizeList = { 100, 1000 };
//h_trgの種類
double[] h_trgList = { 0.9, 0.94, 0.98, 1.0 };
//expected d <d>
double[] expdList = { 4, 6, 8, 10, 12 };
//シードの種類の個数
int envSeedNum = 10;
var envSeedList = Enumerable.Range(0, envSeedNum);
NodeCreaterCreater AATCC = (double h_trg) => (() => new AAT(h_trg));
NodeCreaterCreater DontReplyCC = (double h_trg) => (() => new DontReply(h_trg));
NodeCreaterCreater NoMoreBeliefCC = (double h_trg) => (() => new NoMoreBelief(h_trg));
NodeCreaterCreater EatingWordsCC = (double h_trg) => (() => new EatingWords(h_trg));
NodeCreaterCreater BelieveOnlySensorCC = (double h_trg) => (() => new BelieveOnlySensor(h_trg));
Dictionary <string, NodeCreaterCreater> creatorList = new Dictionary <string, NodeCreaterCreater> {
//{"AAT", AATCC },
{ "NewDontReply", DontReplyCC },
//{"NoMoreBelief", NoMoreBeliefCC },
//{"BelieveOnlySensor", BelieveOnlySensorCC},
//{"EatingWords", EatingWordsCC },
};
//**************実験条件を表示***************
{
var logAll = L.g("all");
logAll.WriteLine("////////////////////experimental condition ////////////////////");
var dt = DateTime.Now;
string routeDir = dt.ToString("yyyy/MM/dd HH:mm:ss\n");
logAll.WriteLine("Date: " + routeDir);
logAll.WriteLine("AgentNum");
foreach (int size in sizeList)
{
logAll.Write(size + ", ");
}
logAll.WriteLine("\n");
logAll.WriteLine("h_trg");
foreach (double h_trg in h_trgList)
{
logAll.Write(h_trg + ", ");
}
logAll.WriteLine("\n");
logAll.WriteLine("expd");
foreach (int expd in expdList)
{
logAll.Write(expd + ", ");
}
logAll.WriteLine("\n");
logAll.WriteLine("algorithm");
foreach (string creatorName in creatorList.Keys)
{
logAll.Write(creatorName + ", ");
}
logAll.WriteLine("\n");
logAll.WriteLine("envSeedNum: " + envSeedNum);
logAll.WriteLine("\n");
}
//じっけんID
int EXP_ID = 0;
//時間をはかるよ
DateTime prevTime = DateTime.Now;
DateTime startTime = DateTime.Now;
//それぞれのアルゴリズムについて
foreach (var creator in creatorList)
{
//それぞれのサイズについて
foreach (int size in sizeList)
{
//それぞれのh_trgについて
foreach (double h_trg in h_trgList)
{
//それぞれのdについて
foreach (int expd in expdList)
{
//条件を表示
{
L.g("all").WriteLine("");
L.g("all").Write(string.Format("EXP_ID: {0}", EXP_ID++)); //実験IDを
L.g("all").Write(" Algo: " + creator.Key); //アルゴリズムの名前を表示
L.g("all").Write(" agentnum: " + size);
L.g("all").Write(" h_trg: " + h_trg);
L.g("all").Write(" expd: " + expd);
L.g("all").Write(" envSdN: " + envSeedNum);
L.g("all").WriteLine("");
}
//シードの平均をとるため
double[] aveSeedResult = new double[3];
foreach (int envSeed in envSeedList)//環境のシード
{
L.g("roundacc,time,console,stepbelief").Write("\nenvSeed: " + envSeed + " ");
RandomPool.Declare("setenv", envSeed);
{ //実験一回し
RandomPool.Declare("fact", 0); //固定センサー値までばらつかせたら収集がつかんことを学習した。
//環境を作る
NetworkGenerator generator = new SmallworldRingNetworkGenerator(size, expd, 0.12);
generator.NodeCreate += creator.Value(h_trg);
OSEnvironment env = new OSEnvironment(generator, (int)(size * 0.05));
//ファイルにネットワークの情報を表示
L.g("env").WriteLine("" + env);
L.g("env").Flush();
Experiment exp = new Experiment(env);
//実験を実行
var expResult = exp.Run();
{ //平均をとるために和を計算
aveSeedResult[0] += expResult.Correct;
aveSeedResult[1] += expResult.Incorrect;
aveSeedResult[2] += expResult.Undeter;
}
}
{ //時間を表示
DateTime nowTime = DateTime.Now;
TimeSpan tp = nowTime.Subtract(prevTime);
TimeSpan fromStart = nowTime.Subtract(startTime);
L.g("time,console").Write("<span: " + tp); // 処理時間を秒単位で表示
L.g("time,console").WriteLine(" fromStart: " + fromStart + " >"); // 処理時間を秒単位で表示
prevTime = nowTime;
}
}//forenvseed
{ //平均をとる
aveSeedResult[0] /= envSeedNum;
aveSeedResult[1] /= envSeedNum;
aveSeedResult[2] /= envSeedNum;
}
L.g("aveacc,console").WriteLine(
string.Format("SeedAverage: correct: {0} incorrect: {1} undeter: {2}",
aveSeedResult[0], aveSeedResult[1], aveSeedResult[2]));
//ファイルに書き込み
L.Flush();
} //for expd
} //for h_trg
} //for size
} //
} //method AutoExperiment
private void initEnv(string generatorstr, int agentNum, int sensorNum, int expectedDegree, double pRewire, int seed)
{
StopAnimation();
GeneratorCB.SelectedItem = generatorstr;
AgentNumTB.Text = agentNum.ToString();
SensorNumTB.Text = sensorNum.ToString();
ExpectedDegreeTB.Text = expectedDegree.ToString();
PRewireTB.Text = pRewire.ToString();
SeedTB.Text = seed.ToString();
//環境つくるためのシードをセット これは環境つくるためのメソッドなのでOK．
exp.SetEnvsetSeed(seed);
//新しいネットワークジェネレータで
//NetworkGenerator generator = new WSmodelNetworkGenerator(agentNum, expectedDegree, pRewire);
NetworkGenerator generator = new WSmodelNetworkGenerator(agentNum, expectedDegree, pRewire);
if (generatorstr == "WS")
{
generator = new WSmodelNetworkGenerator(agentNum, expectedDegree, pRewire);
}
else if (generatorstr == "BA")
{
generator = new BAModelNetworkGenerator(agentNum, 10, expectedDegree);//, pRewire);
}
else if (generatorstr == "Random")
{
generator = new RandomNetworkGenerator(agentNum, expectedDegree);//, pRewire);
}
else if (generatorstr == "Leader")
{
generator = new LeaderNetworkGenerator(agentNum, expectedDegree, pRewire, 99);//, pRewire);
}
generator.NodeCreate += () => new AgentIO();
//新たな環境を構築
env = new OSEnvironment(generator, sensorNum);
exp.Environment = env;
//figurePanelネットワークのオブザーバ(まだ不完全)に環境を追加
figurePanel.Environment = env;
//エージェントのビューも更新
figurePanel.calcAgentViews();
//エージェント表示モジュールは状態表示モジュールを参照(選択の情報を受け渡す)
figurePanel.AgentStatePanel = agentStatePanel;
//ファイルにネットワークの情報を表示
L.g("env").WriteLine("" + env);
L.g("env").Flush();
}