Addition und Multiplikation hinzugefügt

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, sizeof(buffer)/sizeof(MatrixType));
+    TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, matrixToTest.cols * matrixToTest.rows);
 }
 
 void setUp(void) {

neuralNetworkTests.c

@@ -5,45 +5,10 @@
 #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)