public MDetectorConfig GetMDetectorConfig()
{
var config = new MDetectorConfig()
{
UrlDetectorModel = new UrlDetectorModel(URL_DETECTOR_RESOURCES_XML_FILENAME),
ThresholdPercent = ML_THRESHOLD_PERCENT,
ThresholdPercentBetween3Language = ML_THRESHOLD_PERCENT_BETWEEN_3_LANGUAGE,
ThresholdDetectingWordCount = ML_THRESHOLD_DETECTING_WORD_COUNT,
ThresholdPercentDetectingWordCount = ML_THRESHOLD_PERCENT_DETECTING_WORD_COUNT,
ThresholdAbsoluteWeightLanguage = ML_THRESHOLD_ABSOLUTE_WEIGHT_LANGUAGE,
};
return(config);
}
//private bool _Disposed;
//private ManyLanguageDetectorModel _ManyLanguageDetectorModel; //need to hold for suppress finalizer
//private IMModel _IMModel;
//private IRModel _IRModel;
/*public ConcurrentFactory( MDetectorConfig config, ManyLanguageDetectorModel model, int instanceCount )
* {
* if ( instanceCount <= 0 ) throw (new ArgumentException("instanceCount"));
* if ( config == null ) throw (new ArgumentNullException("config"));
* if ( model == null ) throw (new ArgumentNullException("model"));
*
* _InstanceCount = instanceCount;
* _Semaphore = new Semaphore( _InstanceCount, _InstanceCount );
* _Stack = new ConcurrentStack< ILanguageDetector >();
* for ( int i = 0; i < _InstanceCount; i++ )
* {
* _Stack.Push( new ManyLanguageDetector( config, model ) );
* }
* //_ManyLanguageDetectorModel = model;
* }*/
public ConcurrentFactory(MDetectorConfig config, IMModel model, int instanceCount)
{
if (instanceCount <= 0)
{
throw (new ArgumentException("instanceCount"));
}
if (config == null)
{
throw (new ArgumentNullException("config"));
}
if (model == null)
{
throw (new ArgumentNullException("model"));
}
_InstanceCount = instanceCount;
_Semaphore = new Semaphore(_InstanceCount, _InstanceCount);
_Stack = new ConcurrentStack <ILanguageDetector>();
for (int i = 0; i < _InstanceCount; i++)
{
_Stack.Push(new MDetector(config, model));
}
//_IMModel = model;
}
public MDetectorBinaryNative(MDetectorConfig config, MModelBinaryNative model) : base(config, model)
{
_ModelBinaryNative = model;
}
