generated from freudenreichan/info2Praktikum-NeuronalesNetz
matrixTests.c aktualisiert
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@ -71,6 +71,32 @@ void test_addFailsOnDifferentInputDimensions(void)
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TEST_ASSERT_EQUAL_UINT32(0, result.cols);
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}
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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, 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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void test_multiplyReturnsCorrectResults(void)
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{
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MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
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@ -159,6 +185,7 @@ int main()
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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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