generated from freudenreichan/info2Praktikum-NeuronalesNetz
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dev_brünner_1
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devKob
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19910ab17f |
@@ -1,5 +1,7 @@
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mnist
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mnist
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runTests
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runTests
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runMatrixTests
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runMatrixTests
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runImageInputTests
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runNeuralNetworkTests
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*.o
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*.o
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*.exe
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*.exe
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@@ -42,7 +42,7 @@ Matrix createMatrix(unsigned int rows, unsigned int cols)
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}
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}
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*/
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*/
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Matrix createMatrix(size_t cols, size_t rows)
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Matrix createMatrix(size_t rows, size_t cols)
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{
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{
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Matrix m;
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Matrix m;
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m.rows = rows;
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m.rows = rows;
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@@ -73,25 +73,151 @@ Matrix createMatrix(size_t cols, size_t rows)
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void clearMatrix(Matrix *matrix)
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void clearMatrix(Matrix *matrix)
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{
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{
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for (int i = 0; i < matrix->rows; i++) {
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for (int j = 0; j < matrix->cols;j++) {
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// Normally one would expect to work matrices like this, but it is supposed to be the other way around.
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// matrix->buffer[i + matrix->rows * j] = UNDEFINED_MATRIX_VALUE;
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matrix->buffer[j + matrix->cols * i] = UNDEFINED_MATRIX_VALUE;
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}
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}
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free(matrix->buffer);
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matrix->rows = 0;
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matrix->cols = 0;
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matrix->buffer = NULL;
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}
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}
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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{
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//checks, if the given incies are allowed
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if((rowIdx) < matrix.rows && (colIdx) < matrix.cols) {
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// Normally one would expect to work matrices like this, but it is supposed to be the other way around.
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// matrix.buffer[rowIdx + matrix.rows*(colIdx)] = value;
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matrix.buffer[colIdx + matrix.cols * rowIdx] = value;
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}
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}
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}
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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{
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//checks, if the given indices are allowed
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if((rowIdx) < matrix.rows && (colIdx) < matrix.cols) {
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MatrixType returnVal;
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// Normally one would expect to work matrices like this, but it is supposed to be the other way around.
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// returnVal = matrix.buffer[rowIdx + matrix.rows*(colIdx)];
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returnVal = matrix.buffer[colIdx + rowIdx * matrix.cols];
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return returnVal;
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}
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else return 0;
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}
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/*
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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//check if the matrices are able to be added (same size)
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if (matrix1.cols == matrix2.cols && matrix1.rows == matrix2.rows){
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//size of the matrices should be the same, if the addition is supposed to happen
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// Matrix outputMatrix = createMatrix(matrix1.rows, matrix1.cols);
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix1.cols);
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for (int i = 0; i < matrix1.rows;i++) {
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for (int j = 0; j < matrix1.cols; j++) {
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// how this should work in normal Matrix version:
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// outputmatrix.buffer[i][j] = matrix1.buffer[i][j] + matrix2.buffer[i][j];
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outputMatrix.buffer[i + outputMatrix.rows* j] = matrix1.buffer[i + matrix1.rows* j] + matrix2.buffer[i + matrix2.rows * j];
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}
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}
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return outputMatrix;
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} else {
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//the matrix could not be added, since the matrix sizes are not set correct.
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Matrix m;
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m.rows = 0;
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m.cols = 0;
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m.buffer = NULL;
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return m;
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}
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}
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}
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*/
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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{
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//check if the matrices are able to be added (same size)
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if (matrix1.cols != matrix2.cols && matrix1.rows != matrix2.rows){
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Matrix m = {NULL, 0, 0};
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return m;
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}
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//size of the matrices should be the same, if the addition is supposed to happen
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix1.cols);
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if(!outputMatrix.buffer){
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Matrix m = {NULL, 0, 0};
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return m;
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}
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for (int i = 0; i < matrix1.rows;i++) {
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for (int j = 0; j < matrix1.cols; j++) {
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// how this should work in normal Matrix version:
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// outputmatrix.buffer[i][j] = matrix1.buffer[i][j] + matrix2.buffer[i][j];
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outputMatrix.buffer[i * outputMatrix.cols + j] = matrix1.buffer[i * matrix1.cols + j] + matrix2.buffer[i * matrix2.cols + j];
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}
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}
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return outputMatrix;
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}
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}
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/*
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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{
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//check, if the matrices can be multiplied
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if (matrix1.rows == matrix2.cols) {
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix2.cols);
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//Matrix outputMatrix = createMatrix(matrix2.cols, matrix1.rows);
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for(int i = 0; i < matrix1.rows; i++) {
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for (int j = 0; j < matrix2.cols; j++) {
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for (int k = 0; k < matrix2.rows; k++) {
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// how this should work in normal Matrix version:
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// outputMatrix.buffer[i][j] = matrix1.buffer[i][k] * matrix2.buffer[k][j];
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outputMatrix.buffer[i + outputMatrix.rows * j] += matrix1.buffer[i + matrix1.rows * k] * matrix2.buffer[k + matrix2.rows * j];
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}
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}
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}
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return outputMatrix;
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} else {
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//the matrix could not be added, since the matrix sizes are not set correct.
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Matrix m;
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m.rows = 0;
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m.cols = 0;
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m.buffer = NULL;
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return m;
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}
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}
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*/
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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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Matrix m = {NULL, 0, 0};
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return m;
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}
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix2.cols);
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if(!outputMatrix.buffer){
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Matrix m = {NULL, 0, 0};
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return m;
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}
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//Matrix outputMatrix = createMatrix(matrix2.cols, matrix1.rows);
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for(int i = 0; i < matrix1.rows; i++) {
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for (int j = 0; j < matrix2.cols; j++) {
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for (int k = 0; k < matrix1.cols; k++) {
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// how this should work in normal Matrix version:
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// outputMatrix.buffer[i][j] = matrix1.buffer[i][k] * matrix2.buffer[k][j];
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//outputMatrix.buffer[i + outputMatrix.rows * j] += matrix1.buffer[i + matrix1.rows * k] * matrix2.buffer[k + matrix2.rows * j];
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outputMatrix.buffer[i * outputMatrix.cols + j] += matrix1.buffer[i * matrix1.cols + k] * matrix2.buffer[j + matrix2.cols * k];
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}
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}
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}
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return outputMatrix;
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}
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}
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@@ -7,9 +7,9 @@ typedef float MatrixType;
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// TODO Matrixtyp definieren
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// TODO Matrixtyp definieren
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typedef struct Matrix {
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typedef struct Matrix {
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size_t rows;
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size_t cols;
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MatrixType *buffer;
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MatrixType *buffer;
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size_t rows; //X-Element
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size_t cols; //Y-Element
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} Matrix;
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} Matrix;
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@@ -0,0 +1 @@
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make clean && make matrixTests && ./runMatrixTests
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