def test_net_test_inputs(self):
ntl = NetTestLoader(dummyArgsWithFile)
ntl.loadNetTestString(net_test_string_with_file)
ntl.checkOptions()
nt = NetTest(ntl.getTestCases(), ntl.getTestDetails(), None)
yield nt.initialize()
for test_class, test_methods in nt.testCases:
self.assertEqual(len(list(test_class.inputs)), 10)
def test_net_test_inputs(self):
ntl = NetTestLoader(dummyArgsWithFile)
ntl.loadNetTestString(net_test_string_with_file)
ntl.checkOptions()
nt = NetTest(ntl.getTestCases(), ntl.getTestDetails(), None)
yield nt.initialize()
for test_class, test_methods in nt.testCases:
self.assertEqual(len(list(test_class.inputs)), 10)
def test_generate_measurements_size(self):
ntl = NetTestLoader(dummyArgsWithFile)
ntl.loadNetTestString(net_test_string_with_file)
ntl.checkOptions()
net_test = NetTest(ntl.getTestCases(), ntl.getTestDetails(), None)
yield net_test.initialize()
measurements = list(net_test.generateMeasurements())
self.assertEqual(len(measurements), 20)
def test_generate_measurements_size(self):
ntl = NetTestLoader(dummyArgsWithFile)
ntl.loadNetTestString(net_test_string_with_file)
ntl.checkOptions()
net_test = NetTest(ntl.getTestCases(), ntl.getTestDetails(), None)
yield net_test.initialize()
measurements = list(net_test.generateMeasurements())
self.assertEqual(len(measurements), 20)
def test_net_test_inputs(self):
ntl = NetTestLoader(dummyArgsWithFile)
ntl.loadNetTestString(net_test_string_with_file)
ntl.checkOptions()
nt = NetTest(ntl.getTestCases(), ntl.getTestDetails(), None)
nt.initializeInputProcessor()
# XXX: if you use the same test_class twice you will have consumed all
# of its inputs!
tested = set([])
for test_instance, test_method, inputs in nt.testInstances:
self.assertEqual(len(list(inputs)), 10)
