public override void runAssetFile(Asset asset)
{
foreach (var obj in asset.ObjectInfos) {
ulong oldSize = 0;
mSizeDic.TryGetValue(obj.classID, out oldSize);
mSizeDic[obj.classID] = oldSize + obj.length;
totalSize += obj.length;
var typeTree = typeTreeDatabase.GetType(asset.AssetVersion, obj.classID);
if (typeTree != null) {
try {
SerializeObject sobj = new SerializeObject(typeTree, obj.data);
var property = sobj.FindProperty("m_Resource.m_Size");
if (property != null) {
ulong resSize = (ulong)property.Value;
totalSize += resSize;
mSizeDic[obj.classID] += resSize;
}
} catch {
Debug.LogError("Can't Create SerializeObject.TypeVerion:{0},TypeClassID:{1},TypeName:{2}",
typeTree.version, obj.classID, typeTree.type);
}
}
}
}
public void Extract(SerializeObject obj, string outputPath)
{
Unity.Texture2D tex = new Unity.Texture2D();
tex.Deserialize(obj.RootProperty);
//string m_Name = obj.FindProperty("m_Name").Value as string;
//int m_Width = (int)obj.FindProperty("m_Width").Value;
//int m_Height = (int)obj.FindProperty("m_Height").Value;
//int m_CompleteImageSize = (int)obj.FindProperty("m_CompleteImageSize").Value;
//int m_TextureFormat = (int)obj.FindProperty("m_TextureFormat").Value;
//byte[] data = (byte[])obj.FindProperty("image data").Value;
//Bitmap bmp = new Bitmap(m_Width, m_Height, PixelFormat.Format32bppArgb);
//var bmpData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadWrite, PixelFormat.Format32bppArgb);
//int bytes = Math.Abs(bmpData.Stride) * bmp.Height;
//IntPtr ptr = bmpData.Scan0;
//System.Runtime.InteropServices.Marshal.Copy(data, 0, ptr, bytes);
Image iamg;
//bmp.UnlockBits(bmpData);
outputPath = outputPath + "/" + tex.name + "."+tex.m_TextureFormat;
outputPath = AssetToolUtility.FixOuputPath(outputPath);
if (!Directory.Exists(Path.GetDirectoryName(outputPath))) {
Directory.CreateDirectory(Path.GetDirectoryName(outputPath));
}
File.WriteAllBytes(outputPath, tex.image_data);
//bmp.Save(outputPath);
}
public void Extract(SerializeObject obj, string outputPath)
{
Font font = new Font();
font.Deserialize(obj.RootProperty);
string name = font.name;
outputPath = outputPath + "/" + name + ".ttf";
outputPath = AssetToolUtility.FixOuputPath(outputPath);
if (!Directory.Exists(Path.GetDirectoryName(outputPath))) {
Directory.CreateDirectory(Path.GetDirectoryName(outputPath));
}
File.WriteAllBytes(outputPath, font.FontData);
}
public static PAPNetworkContainer LoadPAPContainer(string pathName, string fileName)
{
throw new NotImplementedException();
//Load the container
PAPNetworkContainer returnItem = (PAPNetworkContainer)SerializeObject.Load(pathName + fileName + ".PAPc");
//Load the network in as well
returnItem.playerNetworkPool = new NNThreadSafeNetworkPool(NNLoadSave.loadNetwork(fileName + ".eNN", pathName), returnItem.playerId.ToString(), NNThreadSafeNetworkPool.DefaultListLength);
return(returnItem);
}
public void TestPersistSerial()
{
BoltzmannMachine network = new BoltzmannMachine(4);
network.SetWeight(1, 1, 1);
network.Threshold[2] = 2;
SerializeObject.Save(SERIAL_FILENAME.ToString(), network);
BoltzmannMachine network2 = (BoltzmannMachine)SerializeObject.Load(SERIAL_FILENAME.ToString());
ValidateHopfield(network2);
}
public void SavePAPContainer(string pathName, string fileName)
{
if (playerNetworkPool == null)
{
throw new Exception("Network must be set before the PAP container can be saved out.");
}
//Save out the PAPContainer (without the network)
SerializeObject.Save(pathName + fileName + ".PAPc", this);
//Save out the network
NNLoadSave.saveNetwork(playerNetworkPool.BaseNetwork, fileName + ".eNN", pathName);
}
public static EncogNeuralNetworkSlow DeSerialize()
{
var fileDialog = new OpenFileDialog();
fileDialog.Filter = "enns files (*.enns)|*.enns";
if (fileDialog.ShowDialog() == DialogResult.OK)
{
var ENNetwork = new EncogNeuralNetworkSlow();
ENNetwork.Network = (BasicNetwork)SerializeObject.Load(fileDialog.FileName);
return(ENNetwork);
}
return(null);
}
private void SaveToJson(ControlCollection control)
{
var fieldControl = ConvertListToJson.GetValueJsonForList(control);
string json = SerializeObject.SerializeObjectByFieldControl(fieldControl);
NameValueCollection appSettings = ConfigurationManager.AppSettings;
string path = appSettings["PathDesignUI"] + objModules.ModuleLink;
if (!Directory.Exists(path))
{
Directory.CreateDirectory(path);
}
File.WriteAllText(path + @"\" + objModules.ModuleNo + ".json", json);
}
public void TestContractSerializer()
{
var obj = new SerializeObject();
obj.Data = new Dictionary <string, string>();
obj.Data.Add("CAPITAL", "value");
var json = JsonConvert.SerializeObject(obj, new JsonSerializerSettings
{
ContractResolver = new KeepCapitalCasePropertyNamesContractResolver(),
});
output.WriteLine(json);
Assert.Equal("{\"data\":{\"CAPITAL\":\"value\"}}", json);
}
/// <summary>
/// 将历史记录序列化为 Json 格式
/// </summary>
public string Serialize()
{
var json = new SerializeObject()
{
BeginTime = beginTime,
Data = data,
};
#if UNITY_EDITOR
return(JsonConvert.SerializeObject(json, Formatting.Indented));
#else
return(JsonConvert.SerializeObject(json));
#endif
}
public void Serialize()
{
using (SaveFileDialog dialog = new SaveFileDialog())
{
dialog.Filter = "ennq files (*.ennq)|*.ennq";
dialog.FilterIndex = 2;
dialog.RestoreDirectory = true;
if (dialog.ShowDialog() == DialogResult.OK)
{
SerializeObject.Save(dialog.FileName, Network);
}
}
}
public void Extract(SerializeObject obj, string outputPath)
{
Font font = new Font();
font.Deserialize(obj.RootProperty);
string name = font.name;
outputPath = outputPath + "/" + name + ".ttf";
outputPath = AssetToolUtility.FixOuputPath(outputPath);
if (!Directory.Exists(Path.GetDirectoryName(outputPath)))
{
Directory.CreateDirectory(Path.GetDirectoryName(outputPath));
}
File.WriteAllBytes(outputPath, font.FontData);
}
public static EncogNeuralNetworkQuick DeSerialize(int divisionCountX, int divisionCountY)
{
var fileDialog = new OpenFileDialog();
fileDialog.Filter = "ennq files (*.ennq)|*.ennq";
if (fileDialog.ShowDialog() == DialogResult.OK)
{
var ENNetwork = new EncogNeuralNetworkQuick();
ENNetwork.Network = (BasicNetwork)SerializeObject.Load(fileDialog.FileName);
ENNetwork._divisionCountX = divisionCountX;
ENNetwork._divisionCountY = divisionCountY;
return(ENNetwork);
}
return(null);
}
public void ReadXml(XmlReader reader)
{
reader.Read();
if (reader.IsEmptyElement)
{
return;
}
SerializeObject serializeObject = (SerializeObject) new XmlSerializer(typeof(SerializeObject)).Deserialize(reader);
this.AccessToken = serializeObject.AccessToken;
this.AccessTokenSecret = serializeObject.AccessTokenSecret;
reader.Read();
}
public void Process()
{
this.network = NetworkUtil.CreateNetwork();
Console.WriteLine("Preparing training sets...");
this.common = new CommonWords(Config.FILENAME_COMMON_WORDS);
this.histogramGood = new WordHistogram(this.common);
this.histogramBad = new WordHistogram(this.common);
// load the good words
this.histogramGood.BuildFromFile(Config.FILENAME_GOOD_TRAINING_TEXT);
this.histogramGood.BuildComplete();
// load the bad words
this.histogramBad.BuildFromFile(Config.FILENAME_BAD_TRAINING_TEXT);
this.histogramBad.BuildComplete();
// remove low scoring words
this.histogramGood
.RemoveBelow((int)this.histogramGood.CalculateMean());
this.histogramBad.RemovePercent(0.99);
// remove common words
this.histogramGood.RemoveCommon(this.histogramBad);
this.histogramGood.Trim(Config.INPUT_SIZE);
this.goodAnalysis = new AnalyzeSentences(this.histogramGood,
Config.INPUT_SIZE);
this.badAnalysis = new AnalyzeSentences(this.histogramGood,
Config.INPUT_SIZE);
this.goodAnalysis.Process(this.trainingSet, 0.9,
Config.FILENAME_GOOD_TRAINING_TEXT);
this.badAnalysis.Process(this.trainingSet, 0.1,
Config.FILENAME_BAD_TRAINING_TEXT);
this.sampleCount = this.trainingSet.Ideal.Count;
Console.WriteLine("Processing " + this.sampleCount + " training sets.");
AllocateTrainingSets();
CopyTrainingSets();
TrainNetworkBackpropBackprop();
SerializeObject.Save(Config.FILENAME_WHENBORN_NET, this.network);
SerializeObject.Save(Config.FILENAME_HISTOGRAM, this.histogramGood);
Console.WriteLine("Training complete.");
}
private static bool ReadYaml(string configPath)
{
config = new Config();
if (!System.IO.File.Exists(configPath))
{
Console.WriteLine("Error! Can not find ./model/model.yaml file!");
return(false);
}
else
{
SerializeObject.SetFilePath(configPath);
config = SerializeObject.Deserializer <Config>();
}
return(true);
}
public void Execute(IExampleInterface app)
{
this.app = app;
this.app = app;
IMLDataSet trainingSet = new BasicMLDataSet(XOR_INPUT, XOR_IDEAL);
BasicNetwork network = EncogUtility.SimpleFeedForward(2, 6, 0, 1, false);
EncogUtility.TrainToError(network, trainingSet, 0.01);
double error = network.CalculateError(trainingSet);
SerializeObject.Save("encog.ser", network);
network = (BasicNetwork)SerializeObject.Load("encog.ser");
double error2 = network.CalculateError(trainingSet);
app.WriteLine("Error before save to ser: " + Format.FormatPercent(error));
app.WriteLine("Error before after to ser: " + Format.FormatPercent(error2));
}
public void Extract(SerializeObject obj, string outputPath)
{
TextAsset textAsset = new TextAsset();
textAsset.Deserialize(obj.RootProperty);
string name = textAsset.name;
string script = "";
outputPath = outputPath + "/" + name + ".txt";
outputPath = AssetToolUtility.FixOuputPath(outputPath);
if (!Directory.Exists(Path.GetDirectoryName(outputPath))) {
Directory.CreateDirectory(Path.GetDirectoryName(outputPath));
}
var bytes = System.Text.Encoding.Unicode.GetBytes(script);
var fs = new FileStream(outputPath, FileMode.OpenOrCreate, FileAccess.Write);
fs.Write(bytes, 0, bytes.Length);
fs.Flush();
fs.Dispose();
}
public void geneticNeural()
{
Stopwatch sw = new Stopwatch();
FeedforwardNetwork network = createNetwork();
// train the neural network
Console.WriteLine("Determining initial scores");
TicTacToeGenetic train = new TicTacToeGenetic(network, true,
NeuralTicTacToe.POPULATION_SIZE,
NeuralTicTacToe.MUTATION_PERCENT, NeuralTicTacToe.MATE_PERCENT,
this.player2.GetType());
train.UseThreadPool = true;
sw.Stop();
string duration = String.Format("Training_time: {0}", sw.Elapsed.Minutes);
Console.WriteLine(duration);
ThreadPool.SetMaxThreads(NeuralTicTacToe.THREAD_POOL_SIZE, NeuralTicTacToe.THREAD_POOL_SIZE);
int epoch = 1;
DateTime started = DateTime.Now;
int minutes = 0;
double error = train.getScore();
do
{
sw.Start();
error = train.getScore();
if (error > 0)
{
train.Iteration();
}
sw.Stop();
minutes = sw.Elapsed.Minutes;
string observation = String.Format("Epoch: {0}, Error:{1}, minutes_left : {2}", epoch, error, (NeuralTicTacToe.TRAIN_MINUTES - minutes));
Console.WriteLine(observation);
epoch++;
} while (minutes < NeuralTicTacToe.TRAIN_MINUTES && error > 0.00001d);
SerializeObject.Save("tictactoe.net", train.Network);
}
/// <summary>
/// Loads a normalization from the specified directory and file.
/// </summary>
/// <param name="directory">The directory.</param>
/// <param name="file">The file.</param>
/// <returns>a datanormalization object</returns>
public static DataNormalization LoadNormalization(string directory, string file)
{
DataNormalization norm = null;
FileInfo networkFile = FileUtil.CombinePath(new FileInfo(@directory), @file);
if (networkFile.Exists)
{
norm = (DataNormalization)SerializeObject.Load(networkFile.FullName);
}
if (norm == null)
{
Console.WriteLine(@"Can't find normalization resource: "
+ directory + file);
return(null);
}
return(norm);
}
public DataNormalization LoadNormalization()
{
DataNormalization norm = null;
if (_config.NormalizeFile.Exists)
{
norm = (DataNormalization)SerializeObject.Load(_config.NormalizeFile.ToString());
}
if (norm == null)
{
Console.WriteLine(@"Can't find normalization resource: "
+ _config.NormalizeFile);
return(null);
}
return(norm);
}
/// <summary>
/// The serialize person current.
/// </summary>
protected override void SerializePersonCurrent()
{
SerializeObject.EndPacket.CountMessages = SerializeObject.MessageCount().ToString(CultureInfo.InvariantCulture);
// Сериализуем
XmlSerializationHelper.SerializePersonErp(SerializeObject, GetFileNameFull());
base.SerializePersonCurrent();
// Пишем в базу код успешной выгрзуки
var batch = ObjectFactory.GetInstance <IBatchManager>().GetById(BatchId);
if (batch != null)
{
batch.CodeConfirm = ObjectFactory.GetInstance <IConceptCacheManager>().GetById(CodeConfirm.AA);
ObjectFactory.GetInstance <IBatchManager>().SaveOrUpdate(batch);
ObjectFactory.GetInstance <ISessionFactory>().GetCurrentSession().Flush();
}
}
public static void Generate(ForestConfig config, bool useOneOf)
{
var generate = new GenerateData(config);
generate.Step1();
generate.Step2();
DataNormalization norm = generate.Step3(useOneOf);
// save the normalize object
SerializeObject.Save(config.NormalizeFile.ToString(), norm);
// create and save the neural network
BasicNetwork network =
EncogUtility.SimpleFeedForward(norm.GetNetworkInputLayerSize(),
config.HiddenCount, 0, norm.GetNetworkOutputLayerSize(), true);
EncogDirectoryPersistence.SaveObject(config.TrainedNetworkFile, network);
}
public JsonSerializers()
{
Utf8Json.JsonSerializer.SetDefaultResolver(Utf8Json.Resolvers.StandardResolver.Default);
_obj = new SerializeObject
{
Foo = 1,
Bar = "AAA",
Baz = Baz.One,
Qux = DateTimeOffset.Now,
};
_jsonNet = new Newtonsoft.Json.JsonSerializer();
_jsonNetString = Newtonsoft.Json.JsonConvert.SerializeObject(_obj);
_jilString = Jil.JSON.Serialize(_obj);
_utf8jsonString = Encoding.UTF8.GetString(Utf8Json.JsonSerializer.Serialize(_obj));
_jsonNetBytes = Encoding.UTF8.GetBytes(_jsonNetString);
_jilBytes = Encoding.UTF8.GetBytes(_jilString);
_utf8jsonBytes = Utf8Json.JsonSerializer.Serialize(_obj);
using (var memory = new MemoryStream())
using (var writer = new StreamWriter(memory)
{
AutoFlush = true
})
{
_jsonNet.Serialize(writer, _obj);
_jsonNetStream = memory.ToArray();
}
using (var memory = new MemoryStream())
using (var writer = new StreamWriter(memory)
{
AutoFlush = true
})
{
Jil.JSON.Serialize(_obj, writer);
_jilStream = memory.ToArray();
}
}
public void Extract(SerializeObject obj, string outputPath)
{
TextAsset textAsset = new TextAsset();
textAsset.Deserialize(obj.RootProperty);
string name = textAsset.name;
string script = "";
outputPath = outputPath + "/" + name + ".txt";
outputPath = AssetToolUtility.FixOuputPath(outputPath);
if (!Directory.Exists(Path.GetDirectoryName(outputPath)))
{
Directory.CreateDirectory(Path.GetDirectoryName(outputPath));
}
var bytes = System.Text.Encoding.Unicode.GetBytes(script);
var fs = new FileStream(outputPath, FileMode.OpenOrCreate, FileAccess.Write);
fs.Write(bytes, 0, bytes.Length);
fs.Flush();
fs.Dispose();
}
internal void UpdateServersCache(string key, RawResponse rawResponse, string pathUrl, string currentSiteUrl)
{
foreach (string server in _servers)
{
#pragma warning disable 612,618
ServicePointManager.CertificatePolicy = new TrustAllCertificatePolicy();
#pragma warning restore 612,618
NameValueCollection queryString = HttpUtility.ParseQueryString(string.Empty);
queryString["CacheLevel"] = "First";
queryString["key"] = key;
queryString["pathUrl"] = pathUrl;
queryString["currentSiteUrl"] = currentSiteUrl;
queryString.ToString();
var httpHandlerUrlBuilder = new UriBuilder(server + "_layouts/OceanikCacheSync.ashx")
{
Query = queryString.ToString()
};
var req = (HttpWebRequest)WebRequest.Create(httpHandlerUrlBuilder.Uri);
req.Method = "POST";
req.Credentials = CredentialCache.DefaultCredentials;
byte[] rawResponseBytes = SerializeObject <RawResponse> .Object2ByteArray(rawResponse);
req.ContentLength = rawResponseBytes.Length;
req.ContentType = "text/xml";
Stream requestStream = req.GetRequestStream();
requestStream.Write(rawResponseBytes, 0, rawResponseBytes.Length);
requestStream.Close();
req.GetResponse();
}
}
private static SerializeObject ProcessPhoto(SerializeObject anprInfo)
{
var anpr = new cmAnpr("default");
var image = new gxImage("default");
image.Load(anprInfo.PhotoPath);
if (!anpr.FindFirst(image))
{
throw new NotFoundPhotoException($"Nie znaleziono zdjęcia o ścieżce: {anprInfo.PhotoPath}");
}
var frame = anpr.GetFrame();
anprInfo.Vehicles.First().PlateLPR = anpr.GetText();
anprInfo.Vehicles.First().Confidence = anpr.GetConfidence();
anprInfo.Vehicles.First().PlateX = frame.x1;
anprInfo.Vehicles.First().PlateY = frame.y1;
//anprInfo.Vehicles.First().PlateHeight = ;
//anprInfo.Vehicles.First().PlateWidth = ;
//while (anpr.FindNext())
//{
// frame = anpr.GetFrame();
// anprInfo.Vehicles.Add(new Vehicle
// {
// PlateLPR = anpr.GetText(),
// Confidence = anpr.GetConfidence(),
// PlateX = frame.x1,
// PlateY = frame.y1,
// //PlateHeight =
// //PlateWidth =
// });
//}
return(anprInfo);
}
/// <summary>
/// The add node.
/// </summary>
/// <param name="node">
/// The node.
/// </param>
public override void AddNode(BaseMessageTemplate node)
{
SerializeObject.AddNode(node);
}
public SerializeObject GetInfoFromPhoto(SerializeObject anprInfo)
{
anprInfo = ProcessPhoto(anprInfo);
return(anprInfo);
}
public void saveNeuralNetwork()
{
SerializeObject.Save("sp500.net", network);
}
public void loadNeuralNetwork()
{
network = (BasicNetwork)SerializeObject.Load("sp500.net");
}
public void ProcessRequest(HttpContext context)
{
context.Response.ContentType = "text/plain";
//获取到标记对应的id
int markerID = Convert.ToInt32(context.Request["id"]);
//农田基本数据对象
SoilNutrientSoft.BLL.FarmlandMeg newFarmlandMegBll = new SoilNutrientSoft.BLL.FarmlandMeg();
SoilNutrientSoft.Model.FarmlandMeg newFarmlandMegModel = new SoilNutrientSoft.Model.FarmlandMeg();
//根据id查询数据
newFarmlandMegModel = newFarmlandMegBll.GetModel(markerID);
//创建序列化对象
JavaScriptSerializer JavaScriptSerializer = new JavaScriptSerializer();
//转换成JSON字符串
// var dataStr = JavaScriptSerializer.Serialize(newFarmlandMegModel);
//**************************************************
//土壤养分信息
SoilNutrientSoft.BLL.SoilNutrientMeg newSoilNutrientMegBll = new SoilNutrientSoft.BLL.SoilNutrientMeg();
List <SoilNutrientSoft.Model.SoilNutrientMeg> newSoilNutrientMegList = newSoilNutrientMegBll.GetModelList(" All_id = " + markerID.ToString());
//转换成JSON字符串
// var dataStr = JavaScriptSerializer.Serialize(newSoilNutrientMegList[0]);
//**************************************************
//作物数据
SoilNutrientSoft.BLL.CropsMeg newCropsMegBll = new SoilNutrientSoft.BLL.CropsMeg();
List <SoilNutrientSoft.Model.CropsMeg> newCropsMegList = newCropsMegBll.GetModelList(" All_id = " + markerID.ToString());
//转换成JSON字符串
//var dataStr = JavaScriptSerializer.Serialize(newCropsMegList[0]);
//***************************************
//农田建议
SoilNutrientSoft.BLL.FarmlandMSug newFarmlandMSugBll = new SoilNutrientSoft.BLL.FarmlandMSug();
List <SoilNutrientSoft.Model.FarmlandMSug> newFarmlandMSugList = newFarmlandMSugBll.GetModelList(" All_id = " + markerID.ToString());
//转换成JSON字符串
//var dataStr = JavaScriptSerializer.Serialize(newFarmlandMSugList[0]);
//***************************************
//图片
SoilNutrientSoft.BLL.Picture newPictureBll = new SoilNutrientSoft.BLL.Picture();
//得到数据集合
List <SoilNutrientSoft.Model.Picture> newPictureModelList = newPictureBll.GetModelList(" All_id = " + markerID.ToString());
//添加至内部类List中
List <Pic> newPicList = new List <Pic>();
foreach (var item in newPictureModelList)
{
newPicList.Add(new Pic()
{
picPath = item.picturePath
});
}
//转换成JSON字符串
//var dataStr = JavaScriptSerializer.Serialize(newPicList);
SerializeObject newSerializeObject = new SerializeObject()
{
FarmlandMegObject = newFarmlandMegModel,
SoilNutrientMegObject = newSoilNutrientMegList[0],
CropsMegObject = newCropsMegList[0],
FarmlandMSugObject = newFarmlandMSugList[0],
PicObject = newPicList
};
var dataStr = JavaScriptSerializer.Serialize(newSerializeObject);
context.Response.Write(dataStr);
}
select new StringContent(SerializeObject(body, SerializerSettings)), () => null );
/// <summary>
/// Saves a normalization to the specified folder with the specified name.
/// </summary>
/// <param name="directory">The directory.</param>
/// <param name="file">The file.</param>
/// <param name="normTosave">The norm tosave.</param>
public static void SaveNormalization(string directory, string file, DataNormalization normTosave)
{
SerializeObject.Save(directory + file, normTosave);
}
