hallerni98888/info2Praktikum-NeuronalesNetz
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compare: hallerni98888:d4375c31e8ea82684a90a7bdb441a64ef5c5cc37
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freudenreichan:main

No commits in common. "07f217f1f411b768c0749a0a53e747f11aff493d" and "d4375c31e8ea82684a90a7bdb441a64ef5c5cc37" have entirely different histories.
07f217f1f4 ... d4375c31e8

3 changed files with 2 additions and 29 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; GrayScaleImageSeries *series = NULL;
const unsigned short expectedWidth = 10; const unsigned short expectedWidth = 10;
const char *path = "testFile.info2"; const char *path = "testFile.info2";
prepareImageFile(path, expectedWidth, 8, 2, 1); prepareImageFile(path, 8, expectedWidth, 2, 1);
series = readImages(path); series = readImages(path);
TEST_ASSERT_NOT_NULL(series); TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images); TEST_ASSERT_NOT_NULL(series->images);
@ -70,7 +70,7 @@ void test_readImagesReturnsCorrectImageHeight(void)
GrayScaleImageSeries *series = NULL; GrayScaleImageSeries *series = NULL;
const unsigned short expectedHeight = 10; const unsigned short expectedHeight = 10;
const char *path = "testFile.info2"; const char *path = "testFile.info2";
prepareImageFile(path, 8, expectedHeight, 2, 1); prepareImageFile(path, expectedHeight, 8, 2, 1);
series = readImages(path); series = readImages(path);
TEST_ASSERT_NOT_NULL(series); TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images); TEST_ASSERT_NOT_NULL(series->images);

27
matrixTests.c
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@ -71,32 +71,6 @@ void test_addFailsOnDifferentInputDimensions(void)
TEST_ASSERT_EQUAL_UINT32(0, result.cols); 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) void test_multiplyReturnsCorrectResults(void)
{ {
MatrixType buffer1[] = {1, 2, 3, 4, 5, 6}; MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
@ -185,7 +159,6 @@ int main()
RUN_TEST(test_clearMatrixSetsMembersToNull); RUN_TEST(test_clearMatrixSetsMembersToNull);
RUN_TEST(test_addReturnsCorrectResult); RUN_TEST(test_addReturnsCorrectResult);
RUN_TEST(test_addFailsOnDifferentInputDimensions); RUN_TEST(test_addFailsOnDifferentInputDimensions);
RUN_TEST(test_addSupportsBroadcasting);
RUN_TEST(test_multiplyReturnsCorrectResults); RUN_TEST(test_multiplyReturnsCorrectResults);
RUN_TEST(test_multiplyFailsOnWrongInputDimensions); RUN_TEST(test_multiplyFailsOnWrongInputDimensions);
RUN_TEST(test_getMatrixAtReturnsCorrectResult); RUN_TEST(test_getMatrixAtReturnsCorrectResult);