private void saveMixtureWeightsBinary(GaussianWeights gaussianWeights, string text, bool append)
{
this.logger.info("Saving mixture weights to: ");
this.logger.info(text);
Properties properties = new Properties();
properties.setProperty("version", "1.0");
if (this.doCheckSum)
{
properties.setProperty("chksum0", this.checksum);
}
DataOutputStream dataOutputStream = this.writeS3BinaryHeader(this.location, text, properties, append);
int statesNum = gaussianWeights.getStatesNum();
int streamsNum = gaussianWeights.getStreamsNum();
int gauPerState = gaussianWeights.getGauPerState();
this.writeInt(dataOutputStream, statesNum);
this.writeInt(dataOutputStream, streamsNum);
this.writeInt(dataOutputStream, gauPerState);
if (!Sphinx3Saver.assertionsDisabled && streamsNum != 1)
{
throw new AssertionError();
}
int val = gauPerState * statesNum * streamsNum;
this.writeInt(dataOutputStream, val);
for (int i = 0; i < statesNum; i++)
{
for (int j = 0; j < streamsNum; j++)
{
float[] array = new float[gauPerState];
float[] array2 = new float[gauPerState];
for (int k = 0; k < gauPerState; k++)
{
array2[k] = gaussianWeights.get(i, j, k);
}
this.logMath.logToLinear(array2, array);
this.writeFloatArray(dataOutputStream, array);
}
}
if (this.doCheckSum && !Sphinx3Saver.assertionsDisabled)
{
int num = 0;
bool flag = num != 0;
this.doCheckSum = (num != 0);
if (!flag)
{
object obj = "Checksum not supported";
throw new AssertionError(obj);
}
}
dataOutputStream.close();
}
private void saveMixtureWeightsAscii(GaussianWeights gaussianWeights, string text, bool append)
{
this.logger.info("Saving mixture weights to: ");
this.logger.info(text);
OutputStream outputStream = StreamFactory.getOutputStream(this.location, text, append);
if (outputStream == null)
{
string text2 = new StringBuilder().append("Error trying to write file ").append(this.location).append(text).toString();
throw new IOException(text2);
}
PrintWriter printWriter = new PrintWriter(outputStream, true);
printWriter.print("mixw ");
int statesNum = gaussianWeights.getStatesNum();
printWriter.print(new StringBuilder().append(statesNum).append(" ").toString());
int streamsNum = gaussianWeights.getStreamsNum();
printWriter.print(new StringBuilder().append(streamsNum).append(" ").toString());
int gauPerState = gaussianWeights.getGauPerState();
printWriter.println(gauPerState);
for (int i = 0; i < statesNum; i++)
{
for (int j = 0; j < streamsNum; j++)
{
printWriter.print(new StringBuilder().append("mixw [").append(i).append(" ").append(j).append("] ").toString());
float[] array = new float[gauPerState];
float[] array2 = new float[gauPerState];
for (int k = 0; k < gauPerState; k++)
{
array2[k] = gaussianWeights.get(i, j, k);
}
this.logMath.logToLinear(array2, array);
float num = 0f;
for (int l = 0; l < gauPerState; l++)
{
num += array[l];
}
printWriter.println(num);
printWriter.print("\n\t");
for (int l = 0; l < gauPerState; l++)
{
printWriter.print(new StringBuilder().append(" ").append(array[l]).toString());
}
printWriter.println();
}
}
outputStream.close();
}