generated from freudenreichan/info2Praktikum-NeuronalesNetz
besteht jetzt original tests
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51
matrix.c
51
matrix.c
@ -22,7 +22,7 @@ Matrix createMatrix(unsigned int rows, unsigned int cols)
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matrix.buffer = calloc(rows*cols, sizeof(MatrixType));
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if(matrix.buffer == 0){
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printf("Das erstellen der Matrix ist fehlgeschlagen");
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perror("Das erstellen der Matrix ist fehlgeschlagen");
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clearMatrix(&matrix);
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return matrix;
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}
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@ -40,6 +40,9 @@ void clearMatrix(Matrix *matrix)
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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if (rowIdx >= matrix.rows || colIdx >= matrix.cols) {
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return;
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}
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size_t index = rowIdx * matrix.cols + colIdx; //spingt die zeilen * Anzahl der spalten (Eine Zeile = Anzahl der Spalten lang); + springt noch anzahl an spalten bis zur irhctigen Position
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matrix.buffer[index] = value;
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}
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@ -56,16 +59,54 @@ MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int co
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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if (matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols) {
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printf("Die Matritzen koennen nicht addiert werden");
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if (matrix1.rows == 0 || matrix1.cols == 0 || matrix2.rows == 0 || matrix2.cols == 0) {
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perror("Die Matrizen sind leer");
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return createMatrix(0, 0);
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}
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if (matrix1.rows * matrix1.cols < matrix2.rows * matrix2.cols) {
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return add(matrix2, matrix1);
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}
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if ((matrix1.rows != matrix2.rows && matrix2.rows != 1) ||
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(matrix1.cols != matrix2.cols && matrix2.cols != 1)) {
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perror("Die Matrizen koennen nicht addiert werden");
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return createMatrix(0,0);
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}
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Matrix matrix2Neu = matrix2;
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int freigabe = 0;
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if (matrix1.cols != matrix2.cols) { //broadcasting
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matrix2Neu = createMatrix(matrix1.rows, matrix1.cols);
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freigabe = 1;
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for (unsigned rowId = 0; rowId < matrix1.rows; rowId++) {
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for (unsigned colId = 0; colId < matrix1.cols; colId++) {
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setMatrixAt(matrix2.buffer[rowId], matrix2Neu, rowId, colId);
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}
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}
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} else if (matrix1.rows != matrix2.rows) { //broadcasting
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matrix2Neu = createMatrix(matrix1.rows, matrix1.cols);
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freigabe = 1;
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for (unsigned colId = 0; colId < matrix1.cols; colId++) {
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for (unsigned rowId = 0; rowId < matrix1.rows; rowId++) {
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setMatrixAt(matrix2.buffer[colId], matrix2Neu, rowId, colId);
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}
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}
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}
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Matrix matrix = createMatrix(matrix1.rows, matrix1.cols);
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for (int index = 0; index < matrix1.rows * matrix1.cols; index++){
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matrix.buffer[index] = matrix1.buffer[index] + matrix2.buffer[index];
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matrix.buffer[index] = matrix1.buffer[index] + matrix2Neu.buffer[index];
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}
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if (freigabe == 1)
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free(matrix2Neu.buffer);
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return matrix;
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}
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@ -74,7 +115,7 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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if (matrix1.cols != matrix2.rows) {
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printf("Die Matritzen koennen nicht multipliziert werden");
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perror("Die Matritzen koennen nicht multipliziert werden");
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return createMatrix(0,0);;
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}
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@ -74,9 +74,9 @@ void test_addFailsOnDifferentInputDimensions(void)
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void test_addSupportsBroadcasting(void)
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{
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MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
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MatrixType buffer2[] = {7, 7, 7, 8, 8, 8}; //vorher: {7,8}
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MatrixType buffer2[] = {7, 8};
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Matrix matrix1 = {.rows=2, .cols=3, .buffer=buffer1};
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Matrix matrix2 = {.rows=2, .cols=3, .buffer=buffer2};
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Matrix matrix2 = {.rows=2, .cols=1, .buffer=buffer2};
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Matrix result1 = add(matrix1, matrix2);
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Matrix result2 = add(matrix2, matrix1);
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@ -163,7 +163,7 @@ void test_setMatrixAtFailsOnIndicesOutOfRange(void)
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MatrixType buffer[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
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Matrix matrixToTest = {.rows=2, .cols=3, .buffer=buffer};
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setMatrixAt(10, matrixToTest, 2, 3); //vorher: setMatrixAt(-1, matrixToTest, 2, 3);
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setMatrixAt(-1, matrixToTest, 2, 3);
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TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, sizeof(buffer)/sizeof(MatrixType));
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}
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