buian100487/info2Praktikum-NeuronalesNetz
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Author SHA1 Message Date
Enrico Schroeder
2436240736 Merge pull request 'matrixTests korrigiert.' (#4) from schroederen/info2Praktikum-NeuronalesNetz:main into main 
Reviewed-on: freudenreichan/info2Praktikum-NeuronalesNetz#4
 2025-11-17 14:07:46 +00:00
Enrico Schröder
fde82f2d9a matrixTests korrigiert. 2025-11-17 15:07:03 +01:00
Enrico Schroeder
0fc70f982c Merge pull request 'Aufgabenstellung zur Matrixfunktion add() präzisiert. Unittest hinzugefügt.' (#3) from schroederen/info2Praktikum-NeuronalesNetz:main into main 
Reviewed-on: freudenreichan/info2Praktikum-NeuronalesNetz#3
 2025-11-11 10:09:21 +00:00
Enrico Schröder
b271c865cb Aufgabenstellung zur Matrixfunktion add() präzisiert. Unittest hinzugefügt. 2025-11-11 11:08:51 +01:00
paulusja
077c6def78 Fix unit tests. 2025-11-05 12:05:29 +01:00
3 changed files with 30 additions and 3 deletions
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NeuronalesNetz_Aufgabenstellung.pdf
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4
imageInputTests.c
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@ -54,7 +54,7 @@ void test_readImagesReturnsCorrectImageWidth(void)
GrayScaleImageSeries *series = NULL;
const unsigned short expectedWidth = 10;
const char *path = "testFile.info2";
prepareImageFile(path, 8, expectedWidth, 2, 1);
prepareImageFile(path, expectedWidth, 8, 2, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);
@ -70,7 +70,7 @@ void test_readImagesReturnsCorrectImageHeight(void)
GrayScaleImageSeries *series = NULL;
const unsigned short expectedHeight = 10;
const char *path = "testFile.info2";
prepareImageFile(path, expectedHeight, 8, 2, 1);
prepareImageFile(path, 8, expectedHeight, 2, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);

29
matrixTests.c
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@ -71,6 +71,32 @@ void test_addFailsOnDifferentInputDimensions(void)
TEST_ASSERT_EQUAL_UINT32(0, result.cols);
}
void test_addSupportsBroadcasting(void)
{
MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
MatrixType buffer2[] = {7, 8};
Matrix matrix1 = {.rows=2, .cols=3, .buffer=buffer1};
Matrix matrix2 = {.rows=2, .cols=1, .buffer=buffer2};
Matrix result1 = add(matrix1, matrix2);
Matrix result2 = add(matrix2, matrix1);
float expectedResults[] = {8, 9, 10, 12, 13, 14};
TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result1.rows);
TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result1.cols);
TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result2.rows);
TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result2.cols);
TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result1.rows * result1.cols);
TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result1.buffer, result1.cols * result1.rows);
TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result2.rows * result2.cols);
TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result2.buffer, result2.cols * result2.rows);
free(result1.buffer);
free(result2.buffer);
}
void test_multiplyReturnsCorrectResults(void)
{
MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
@ -138,7 +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, matrixToTest.cols * matrixToTest.rows);
TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, sizeof(buffer)/sizeof(MatrixType));
}
void setUp(void) {
@ -159,6 +185,7 @@ int main()
RUN_TEST(test_clearMatrixSetsMembersToNull);
RUN_TEST(test_addReturnsCorrectResult);
RUN_TEST(test_addFailsOnDifferentInputDimensions);
RUN_TEST(test_addSupportsBroadcasting);
RUN_TEST(test_multiplyReturnsCorrectResults);
RUN_TEST(test_multiplyFailsOnWrongInputDimensions);
RUN_TEST(test_getMatrixAtReturnsCorrectResult);