Änderung Definition und Vorbereitung merge zu master

matrixTests.c

@@ -164,7 +164,7 @@ void test_setMatrixAtFailsOnIndicesOutOfRange(void)
     Matrix matrixToTest = {.rows=2, .cols=3, .buffer=buffer};
 
     setMatrixAt(-1, matrixToTest, 2, 3);
-    TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, matrixToTest.cols * matrixToTest.rows);
+    TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, sizeof(buffer)/sizeof(MatrixType));
 }
 
 void setUp(void) {

neuralNetworkTests.c

@@ -5,10 +5,45 @@
 #include "unity.h"
 #include "neuralNetwork.h"
 
+#define FILE_HEADER_STRING "__info2_neural_network_file_format__" 
 
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 {
     // TODO
+    
+    FILE *f = fopen(path, "wb");
+    if (!f) return;
+
+    fwrite(FILE_HEADER_STRING, sizeof(char), strlen(FILE_HEADER_STRING), f);
+
+    int inputDim = nn.layers[0].weights.cols;
+    int outputDim = nn.layers[0].weights.rows;
+
+    fwrite(&inputDim, sizeof(int), 1, f);
+    fwrite(&outputDim, sizeof(int), 1, f);
+
+    for (int i = 0; i < nn.numberOfLayers; i++)
+    {
+        Matrix weights = nn.layers[i].weights;
+        Matrix biases  = nn.layers[i].biases;
+
+        int numWeightValues = weights.rows * weights.cols;
+        int numBiasValues   = biases.rows * biases.cols;
+
+        fwrite(weights.buffer, sizeof(MatrixType), numWeightValues, f);
+        fwrite(biases.buffer, sizeof(MatrixType), numBiasValues, f);
+
+        if (i < nn.numberOfLayers - 1)
+        {
+            int nextOutputDim = nn.layers[i + 1].weights.rows;
+            fwrite(&nextOutputDim, sizeof(int), 1, f);
+        }
+    }
+
+    int endMarker = 0;
+    fwrite(&endMarker, sizeof(int), 1, f);
+
+    fclose(f);
 }
 
 void test_loadModelReturnsCorrectNumberOfLayers(void)