void NeuralPatternArray::write(TextFileWriter const& _file) const throw()
{
TextFileWriter file = _file;
const NeuralPattern* array = getArray();
if(array != 0)
{
file.write("NeuralPatternArray:v1");
const int numPatterns = size();
for(int i = 0; i < numPatterns; i++)
{
array[i].write(file);
}
}
}
void NeuralPatternSimpleInternal::write(TextFileWriter const& _file) const throw()
{
const int size = 128;
char buf[size];
TextFileWriter file = _file;
file.write("\nNeuralPatternSimple:v1\n");
const int numInputs = inputVector.size();
snprintf(buf, size, "Inputs:%3d\n", numInputs);
file.write(buf);
const float *inputVectorArray = inputVector.getArray();
for(int i = 0; i < numInputs; i++)
{
snprintf(buf, size, "%3d %.16f\n", i, inputVectorArray[i]);
file.write(buf);
}
const int numOutputs = outputVector.size();
snprintf(buf, size, "Outputs:%3d", numOutputs);
file.write(buf);
const float *outputVectorArray = outputVector.getArray();
for(int i = 0; i < numOutputs; i++)
{
file.write("\n");
snprintf(buf, size, "%3d %.16f", i, outputVectorArray[i]);
file.write(buf);
}
}
void NeuralNetworkSimpleInternal::write(TextFileWriter const& _file) const throw()
{
const int intFieldWidth = 4;
const int size = 128;
char buf[size];
TextFileWriter file = _file;
file.write("NeuralNetworkSimple:v1\n");
snprintf(buf, size, "learnRate: %f actFuncOffset: %f\n", getLearnRate(), getActFuncOffset());
file.write(buf);
snprintf(buf, size, "Layers:%*d\n", intFieldWidth, getNumLayersIncludingInput());
file.write(buf);
snprintf(buf, size, "Layer %*d:%*d\n", intFieldWidth, 0,
intFieldWidth, numInputs);
file.write(buf);
for(int layer = 0; layer < getNumLayersExcludingInput(); layer++)
{
snprintf(buf, size, "Layer %*d:%*d\n", intFieldWidth, layer+1,
intFieldWidth, getNumNodesOnLayer(layer));
file.write(buf);
}
for(int layer = 0; layer < getNumLayersExcludingInput(); layer++)
{
const int numNodes = getNumNodesOnLayer(layer);
for(int node = 0; node < numNodes; node++)
{
NumericalArray<float> weights;
float threshold;
get(layer, node, &weights, threshold);
snprintf(buf, size, "%*d %*d %*d %.16f\n", intFieldWidth, layer,
intFieldWidth, node,
intFieldWidth, -1,
threshold);
file.write(buf);
const int numWeights = weights.size();
for(int weight = 0; weight < numWeights; weight++)
{
snprintf(buf, size, "%*d %*d %*d %.16f\n", intFieldWidth, layer,
intFieldWidth, node,
intFieldWidth, weight,
weights[weight]);
file.write(buf);
}
}
}
}
void TextFileWriterTest::testmethod_WriteFile()
{
TextFileWriter writer;
map<string, string> params;
std::string name = "test.file.text";
params["a"] = "b";
params["b"] = "c";
params["c"] = "d";
writer.WriteFile(name, params);
const int linelen=32;
char line[linelen];
std::ifstream instr(name.c_str());
instr.getline(line, linelen);
CPPUNIT_ASSERT( strncmp(line, "a=b", 3) == 0 );
instr.getline(line, linelen);
CPPUNIT_ASSERT( strncmp(line, "b=c", 3) == 0 );
instr.getline(line, linelen);
CPPUNIT_ASSERT( strncmp(line, "c=d", 3) == 0 );
}
