def test_get_method_nodes(self, custom_python_code):
import imp
custom_dir = os.path.join(TEST_DATA_DIR, 'custom_data')
fname = os.path.join(custom_dir, 'python_file_for_input.py')
mod = imp.load_source("python_file_for_input", fname)
ast_node = ast.parse(custom_python_code)
class_finder = ClassFinder()
class_finder.visit(ast_node)
class_nodes = class_finder.class_nodes_dict
for class_name in class_nodes.keys():
class_node = class_nodes[class_name]
ast_wrapper = AstClassWrapper(class_node)
no_of_methods = mod.get_number_of_methods(class_name)
assert len(ast_wrapper.get_method_nodes()) == no_of_methods
def test_ssm_metric(self, cls_gen):
metric = StructuralSimilarityBetweenMethods()
for simple_cls in cls_gen.generate(1000, 10, 10):
cls_source = simple_cls.get_source_code()
logging.info("TestMetrics::" + \
"test_ssm_metric:simple_cls.source_code:\n" + \
cls_source)
ast_wrapper = AstClassWrapper(simple_cls.get_ast_node())
custom_ssm = simple_cls.get_ssm_matrix()
matrix_to_test = self.build_test_matrix(metric, ast_wrapper)
logging.info("TestMetrics::" + \
"test_ssm_metric:custom_ssm:\n" + \
print_matrix_with_fabulousness(custom_ssm))
logging.info("TestMetrics::" + \
"test_ssm_metric:matrix_to_test:\n" + \
print_matrix_with_fabulousness(matrix_to_test))
for method_node in ast_wrapper.get_method_nodes():
logging.info(metric.find_instance_variables(method_node,
ast_wrapper))
assert custom_ssm == matrix_to_test