erstellung des typedef struct Matrix

Startcode/imageInput.c

@@ -7,87 +7,16 @@
 #define FILE_HEADER_STRING "__info2_image_file_format__"
 
 // TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
-int readHeader(FILE *file)
-{
-    char fileHeader[32];
-
-    fread(fileHeader, sizeof(char), strlen(FILE_HEADER_STRING), file);
-
-    if(strncmp(FILE_HEADER_STRING, fileHeader, strlen(FILE_HEADER_STRING))){
-        return -1;
-    } else{
-        return 0;
-    }
-}
-
-unsigned short readUnShortOfFile(FILE *file){
-    unsigned short number = 0;
-
-    if(fread(&number, sizeof(unsigned short), 1, file) != 1){
-        return -1;
-    }
-
-    return number;
-}
-
-int readOneImage(GrayScaleImageSeries *series, FILE *file, unsigned short width, unsigned short height, unsigned short i){
-
-    series->images[i].buffer = malloc(width * height * sizeof(GrayScalePixelType));
-    fread(series->images[i].buffer, sizeof(GrayScalePixelType), width * height, file);
-    fread(&series->labels[i], sizeof(unsigned char), 1, file);
-    return 0;
-    
-}
 
 // TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
 GrayScaleImageSeries *readImages(const char *path)
 {
     GrayScaleImageSeries *series = NULL;
-    FILE *file;
-    unsigned short width, height;
-
-    file = fopen(path, "rb");
     
-    if(file == NULL || readHeader(file) == -1) {
-        return NULL;
-    }
-
-    series = malloc(sizeof(GrayScaleImageSeries));
-
-    series->count = readUnShortOfFile(file); 
-    width = readUnShortOfFile(file);
-    height = readUnShortOfFile(file);
-
-    if(series->count == -1 || width == -1 || height == -1){
-        return NULL;
-    }
-
-    series->images = malloc(series->count * sizeof(GrayScaleImage));
-    series->labels = malloc(series->count * sizeof(unsigned char));
-    
-    for(int i = 0; i < series->count; i++){
-        series->images[i].width = width;
-        series->images[i].height = height;
-        readOneImage(series, file, width, height, i);
-    }
-   
     return series;
 }
 
 // TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
 void clearSeries(GrayScaleImageSeries *series)
 {
-    if(series == NULL){
-        return;
-    }
-    
-    for(int i = 0; i < series->count; i++){
-        free(series->images[i].buffer);
-    }
-
-    free(series->images);
-    free(series->labels);
-    free(series);
-
-    return;
 }

Startcode/matrix.h

@@ -7,6 +7,14 @@ typedef float MatrixType;
 
 // TODO Matrixtyp definieren
 
+typedef struct 
+{
+    int anzahlZeilen;
+    int anzahlSpalten;
+    int speicher[][];
+    
+} Matrix;
+
 
 Matrix createMatrix(unsigned int rows, unsigned int cols);
 void clearMatrix(Matrix *matrix);

Startcode/neuralNetworkTests.c

@@ -8,26 +8,7 @@
 
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 {
-    FILE *file = fopen(path, "wb");
-
-    if(file != NULL)
-    {
-        const char *fileTag = "__info2_neural_network_file_format__";
-
-        if(zeroBuffer != NULL)
-        {
-            fwrite(fileTag, sizeof(fileTag[0]), strlen(fileTag), file);
-
-            for(int i = 0; i < nn->numberOfLayers; i++)
-            {
-                fwrite(nn->layers[i].weights, sizeof(nn->layers[i].weights), 1, file);
-                fwrite(nn->layers[i].biases, sizeof(nn->layers[i].biases), 1, file);
-                fwrite(nn->layers[i].activation, sizeof(nn->layers[i].activation), 1, file);
-            }
-        }
-
-        fclose(file);
-    }
+    // TODO
 }
 
 void test_loadModelReturnsCorrectNumberOfLayers(void)

Startcode/testFile.info2

@@ -1 +0,0 @@
-some_tag