public static PImage ToImage(this NSData data, CGSize destSize, nfloat destScale, Configuration config, TaskParameter parameters, BaseDecoder.RCTResizeMode resizeMode = BaseDecoder.RCTResizeMode.ScaleAspectFit, ImageInformation imageinformation = null, bool allowUpscale = false)
{
var decoded = BaseDecoder.SourceRegfToDecodedImage(data, destSize, destScale, config, parameters, resizeMode, imageinformation, allowUpscale);
PImage result;
if (decoded.IsAnimated)
{
#if __IOS__
result = PImage.CreateAnimatedImage(decoded.AnimatedImages
.Select(v => v.Image)
.Where(v => v?.CGImage != null).ToArray(), decoded.AnimatedImages.Sum(v => v.Delay) / 100.0);
#elif __MACOS__
result = new PImage();
var repr = decoded.AnimatedImages
.Select(v => v.Image.Representations().First())
.ToArray();
result.AddRepresentations(repr);
#endif
}
else
{
result = decoded.Image;
}
return(result);
}
static SECoreImpl CreateLearningCoreImpl(string root)
{
string path = Path.Combine(root, @"model\sentiment\learning\");
string subFeatureSetFilePath = Path.Combine(path, @"sub.fv");
string subjectivityModelFilePath = Path.Combine(path, @"sub.model");
BaseFeatureExtractor subFeatureExtractor = null;
BaseDecoder sub_decoder = null;
if (File.Exists(subFeatureSetFilePath) && File.Exists(subjectivityModelFilePath))
{
subFeatureExtractor = new SubjectivityFeatureExtractor(subFeatureSetFilePath);
sub_decoder = CreateDecoder(subjectivityModelFilePath, classifier);
}
string polFeatureSetFilePath = Path.Combine(path, @"pol.fv");
BaseFeatureExtractor polFeatureExtractor = new PolarityFeatureExtractor(polFeatureSetFilePath);
string polarityModelFilePath = Path.Combine(path, @"pol.model");
BaseDecoder pol_decoder = CreateDecoder(polarityModelFilePath, classifier);
SELearningCoreImpl coreImpl = new SELearningCoreImpl(subFeatureExtractor, polFeatureExtractor,
sub_decoder, pol_decoder);
return(coreImpl);
}
/// <summary>
/// Wait for data from the telnet server and send it to the emulation.
/// </summary>
public async Task ReadLoop(string connectionId, BaseDecoder decoder, CancellationToken ct)
{
var client = Get(connectionId);
if (client == null)
{
return;
}
var loginPrompt = WebConfigurationManager.AppSettings["loginPrompt"];
var login = WebConfigurationManager.AppSettings["login"];
var passwordPrompt = WebConfigurationManager.AppSettings["passwordPrompt"];
var password = WebConfigurationManager.AppSettings["password"];
var loginAuto = (!String.IsNullOrEmpty(loginPrompt) && !String.IsNullOrEmpty(login));
var passwordAuto = (!String.IsNullOrEmpty(passwordPrompt) && !String.IsNullOrEmpty(password));
decoder.ScriptFunc = async(string str) =>
{
if (!String.IsNullOrEmpty(str))
{
if (loginAuto && str.EndsWith(loginPrompt, StringComparison.Ordinal))
{
await client.StreamWriter.WriteAsync(login + "\r\n");
loginAuto = false;
str = str.Remove(str.Length - loginPrompt.Length);
}
if (passwordAuto && str.EndsWith(passwordPrompt, StringComparison.Ordinal))
{
await client.StreamWriter.WriteAsync(password + "\r\n");
passwordAuto = false;
str = str.Remove(str.Length - passwordPrompt.Length);
}
}
return(str);
};
const int bufferSize = 4096;
while (client.IsConnected && !ct.IsCancellationRequested)
{
var inBytes = await client.ReadAsync(bufferSize, ct);
foreach (var b in inBytes)
{
await decoder.AddByte(b);
}
await decoder.Flush();
}
Disconnect(connectionId);
}
/// <summary>
/// Initialise a new telnet connection based on the web config.
/// </summary>
public async Task Init(string connectionId, BaseDecoder decoder, string termtype = null)
{
var server = WebConfigurationManager.AppSettings["server"];
var port = Int32.Parse(WebConfigurationManager.AppSettings["port"]);
termtype = termtype ?? WebConfigurationManager.AppSettings["termtype"];
var encodingName = WebConfigurationManager.AppSettings["encoding"];
var altEncodingName = WebConfigurationManager.AppSettings["altencoding"];
decoder.SetEncoding(encodingName, altEncodingName);
var client = await Connect(connectionId, server, port, termtype, encodingName);
}
static BaseDecoder CreateDecoder(string model, string classifier)
{
BaseDecoder decoder = null;
if (classifier == "LIBLINEAER")
{
decoder = new LibLinearDecoder(model);
}
else
{
decoder = new SVMDecoder(model);
}
return(decoder);
}
public abstract void Execute(BaseDecoder decoder, Chunk chunk, string filename);
public abstract List <FileTypeInfo> GetFileTypes(BaseDecoder decoder, Chunk chunk);
public abstract string GetActionText(BaseDecoder decoder, Chunk chunk);
public ActionParameters(Chunk chunk, BaseDecoder decoder, IViewer viewer)
{
this.Chunk = chunk;
this.Decoder = decoder;
this.Viewer = viewer;
}