generated from freudenreichan/info2Praktikum-NeuronalesNetz
matrixTests.c aktualisiert
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matrixTests.c
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matrixTests.c
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#include <stdio.h>
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#include <stdlib.h>
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#include <stdlib.h>
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#include <string.h>
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#include "matrix.h"
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#include "matrix.h"
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#include "unity.h"
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// TODO Matrix-Funktionen implementieren ( Hauptaufgabe )
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MatrixTyp erstelleMatrix(unsigned int reihen, unsigned int spalten)
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void test_createMatrixFailsOnZeroDimensions(void)
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{
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{
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MatrixTyp m;
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Matrix matrixToTest1 = createMatrix(0, 1);
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m.reihen = reihen;
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Matrix matrixToTest2 = createMatrix(1, 0);
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m.spalten = spalten;
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TEST_ASSERT_NULL(matrixToTest1.buffer);
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m.werte = (MatrixWert *)malloc(reihen * spalten * sizeof(MatrixWert));
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TEST_ASSERT_EQUAL_UINT32(0, matrixToTest1.rows);
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for (unsigned int i = 0; i < reihen * spalten; ++i) {
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TEST_ASSERT_EQUAL_UINT32(0, matrixToTest1.cols);
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m.werte[i] = UNDEFINIERTER_MATRIXWERT;
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TEST_ASSERT_NULL(matrixToTest2.buffer);
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}
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TEST_ASSERT_EQUAL_UINT32(0, matrixToTest2.rows);
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return m;
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TEST_ASSERT_EQUAL_UINT32(0, matrixToTest2.cols);
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}
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}
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void loescheMatrix(MatrixTyp *matrix)
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void test_createMatrixReturnsCorrectMatrixDimensions(void)
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{
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{
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free(matrix->werte);
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const unsigned int expectedRows = 15;
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matrix->werte = NULL;
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const unsigned int expectedCols = 10;
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matrix->reihen = 0;
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matrix->spalten = 0;
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Matrix matrixToTest = createMatrix(expectedRows, expectedCols);
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TEST_ASSERT_EQUAL_UINT32(expectedRows, matrixToTest.rows);
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TEST_ASSERT_EQUAL_UINT32(expectedCols, matrixToTest.cols);
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free(matrixToTest.buffer);
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}
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}
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void setzeMatrixWert(MatrixWert wert, MatrixTyp matrix, unsigned int reiheIndex, unsigned int spalteIndex)
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void test_clearMatrixSetsMembersToNull(void)
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{
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{
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if (reiheIndex < matrix.reihen && spalteIndex < matrix.spalten) {
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Matrix matrixToTest = createMatrix(10, 10);
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matrix.werte[reiheIndex * matrix.spalten + spalteIndex] = wert;
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clearMatrix(&matrixToTest);
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}
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TEST_ASSERT_NULL(matrixToTest.buffer);
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TEST_ASSERT_EQUAL_UINT32(0, matrixToTest.rows);
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TEST_ASSERT_EQUAL_UINT32(0, matrixToTest.cols);
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}
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}
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MatrixWert holeMatrixWert(const MatrixTyp matrix, unsigned int reiheIndex, unsigned int spalteIndex)
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void test_addReturnsCorrectResult(void)
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{
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{
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if (reiheIndex < matrix.reihen && spalteIndex < matrix.spalten) {
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MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
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return matrix.werte[reiheIndex * matrix.spalten + spalteIndex];
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MatrixType buffer2[] = {7, 8, 9, 10, 11, 12};
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}
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Matrix matrix1 = {.rows=2, .cols=3, .buffer=buffer1};
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return UNDEFINIERTER_MATRIXWERT;
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Matrix matrix2 = {.rows=2, .cols=3, .buffer=buffer2};
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Matrix result = add(matrix1, matrix2);
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float expectedResults[] = {8, 10, 12, 14, 16, 18};
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TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result.rows);
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TEST_ASSERT_EQUAL_UINT32(matrix2.rows, result.rows);
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TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result.cols);
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TEST_ASSERT_EQUAL_UINT32(matrix2.cols, result.cols);
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TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result.rows * result.cols);
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TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result.buffer, result.cols * result.rows);
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free(result.buffer);
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}
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}
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MatrixTyp addiereMatrix(const MatrixTyp matrix1, const MatrixTyp matrix2)
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void test_addFailsOnDifferentInputDimensions(void)
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{
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{
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if (matrix1.reihen != matrix2.reihen || matrix1.spalten != matrix2.spalten) {
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MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
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return erstelleMatrix(0, 0);
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MatrixType buffer2[] = {7, 8, 9, 10, 11, 12};
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Matrix matrix1 = {.rows=2, .cols=3, .buffer=buffer1};
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Matrix matrix2 = {.rows=3, .cols=2, .buffer=buffer2};
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Matrix result = add(matrix1, matrix2);
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TEST_ASSERT_NULL(result.buffer);
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TEST_ASSERT_EQUAL_UINT32(0, result.rows);
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TEST_ASSERT_EQUAL_UINT32(0, result.cols);
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}
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}
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MatrixTyp ergebnis = erstelleMatrix(matrix1.reihen, matrix1.spalten);
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void test_addSupportsBroadcasting(void)
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for (unsigned int i = 0; i < matrix1.reihen; ++i) {
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for (unsigned int j = 0; j < matrix1.spalten; ++j) {
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MatrixWert wert = holeMatrixWert(matrix1, i, j) + holeMatrixWert(matrix2, i, j);
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setzeMatrixWert(wert, ergebnis, i, j);
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}
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}
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return ergebnis;
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}
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MatrixTyp multipliziereMatrix(const MatrixTyp matrix1, const MatrixTyp matrix2)
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{
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{
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if (matrix1.spalten != matrix2.reihen) {
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MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
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return erstelleMatrix(0, 0);
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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=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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float expectedResults[] = {8, 9, 10, 12, 13, 14};
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TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result1.rows);
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TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result1.cols);
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TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result2.rows);
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TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result2.cols);
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TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result1.rows * result1.cols);
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TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result1.buffer, result1.cols * result1.rows);
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TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result2.rows * result2.cols);
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TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result2.buffer, result2.cols * result2.rows);
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free(result1.buffer);
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free(result2.buffer);
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}
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}
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MatrixTyp ergebnis = erstelleMatrix(matrix1.reihen, matrix2.spalten);
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void test_multiplyReturnsCorrectResults(void)
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for (unsigned int i = 0; i < matrix1.reihen; ++i) {
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{
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for (unsigned int j = 0; j < matrix2.spalten; ++j) {
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MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
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MatrixWert summe = 0;
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MatrixType buffer2[] = {7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18};
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for (unsigned int k = 0; k < matrix1.spalten; ++k) {
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Matrix matrix1 = {.rows=2, .cols=3, .buffer=buffer1};
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summe += holeMatrixWert(matrix1, i, k) * holeMatrixWert(matrix2, k, j);
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Matrix matrix2 = {.rows=3, .cols=4, .buffer=buffer2};
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Matrix result = multiply(matrix1, matrix2);
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float expectedResults[] = {74, 80, 86, 92, 173, 188, 203, 218};
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TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result.rows);
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TEST_ASSERT_EQUAL_UINT32(matrix2.cols, result.cols);
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TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result.rows * result.cols);
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TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result.buffer, result.cols * result.rows);
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free(result.buffer);
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}
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}
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setzeMatrixWert(summe, ergebnis, i, j);
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void test_multiplyFailsOnWrongInputDimensions(void)
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{
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MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
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MatrixType buffer2[] = {7, 8, 9, 10, 11, 12};
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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 result = multiply(matrix1, matrix2);
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TEST_ASSERT_NULL(result.buffer);
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TEST_ASSERT_EQUAL_UINT32(0, result.rows);
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TEST_ASSERT_EQUAL_UINT32(0, result.cols);
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}
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}
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void test_getMatrixAtReturnsCorrectResult(void)
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{
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MatrixType buffer[] = {1, 2, 3, 4, 5, 6};
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Matrix matrixToTest = {.rows=2, .cols=3, .buffer=buffer};
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int expectedResult = buffer[4];
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TEST_ASSERT_EQUAL_INT(expectedResult, getMatrixAt(matrixToTest, 1, 1));
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}
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}
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return ergebnis;
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void test_getMatrixAtFailsOnIndicesOutOfRange(void)
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{
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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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TEST_ASSERT_EQUAL_INT(UNDEFINED_MATRIX_VALUE, getMatrixAt(matrixToTest, 2, 3));
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}
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void test_setMatrixAtSetsCorrectValue(void)
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{
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const int expectedResult = -1;
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MatrixType buffer[] = {1, 2, 3, 4, 5, 6};
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Matrix matrixUnderTest = {.rows=2, .cols=3, .buffer=buffer};
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setMatrixAt(expectedResult, matrixUnderTest, 1, 2);
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TEST_ASSERT_EQUAL_INT(expectedResult, buffer[5]);
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}
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void test_setMatrixAtFailsOnIndicesOutOfRange(void)
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{
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const float expectedResults[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
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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(-1, matrixToTest, 2, 3);
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TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, matrixToTest.cols * matrixToTest.rows);
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}
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void setUp(void) {
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// Falls notwendig, kann hier Vorbereitungsarbeit gemacht werden
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}
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void tearDown(void) {
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// Hier kann Bereinigungsarbeit nach jedem Test durchgeführt werden
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}
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int main()
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{
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UNITY_BEGIN();
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printf("============================\nMatrix tests\n============================\n");
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RUN_TEST(test_createMatrixReturnsCorrectMatrixDimensions);
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RUN_TEST(test_createMatrixFailsOnZeroDimensions);
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RUN_TEST(test_clearMatrixSetsMembersToNull);
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RUN_TEST(test_addReturnsCorrectResult);
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RUN_TEST(test_addFailsOnDifferentInputDimensions);
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RUN_TEST(test_addSupportsBroadcasting);
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RUN_TEST(test_multiplyReturnsCorrectResults);
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RUN_TEST(test_multiplyFailsOnWrongInputDimensions);
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RUN_TEST(test_getMatrixAtReturnsCorrectResult);
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RUN_TEST(test_getMatrixAtFailsOnIndicesOutOfRange);
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RUN_TEST(test_setMatrixAtSetsCorrectValue);
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RUN_TEST(test_setMatrixAtFailsOnIndicesOutOfRange);
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return UNITY_END();
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}
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}
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