def test_dieft0(self):
input_file = resource_filename(__name__, 'traces.csv')
traces = diefpy.load_trace(input_file)
test = "Q9.rq"
res = diefpy.dieft(traces, test)
self.assertAlmostEqual(res[res['approach'] == 'Selective']['dieft'][0],
14588.18, 2)
self.assertAlmostEqual(res[res['approach'] == 'Random']['dieft'][0],
27963.93, 2)
self.assertAlmostEqual(
res[res['approach'] == 'NotAdaptive']['dieft'][0], 28563.16, 2)
def test_diefk0(self):
input_file = resource_filename(__name__, 'traces.csv')
traces = diefpy.load_trace(input_file)
test = "Q9.rq"
res = diefpy.diefk(traces, test)
self.assertAlmostEqual(res[res['approach'] == 'Selective']['diefk'][0],
14588.18, 2)
self.assertAlmostEqual(res[res['approach'] == 'Random']['diefk'][0],
12992.97, 2)
self.assertAlmostEqual(
res[res['approach'] == 'NotAdaptive']['diefk'][0], 20232.39, 2)
def test_diefk2(self):
input_file = resource_filename(__name__, 'traces.csv')
traces = diefpy.load_trace(input_file)
test = "Q9.rq"
kp = 0.25
res = diefpy.diefk2(traces, test, kp)
self.assertAlmostEqual(res[res['approach'] == 'Selective']['diefk'][0],
1430.417, 2)
self.assertAlmostEqual(res[res['approach'] == 'Random']['diefk'][0],
1692.541, 2)
self.assertAlmostEqual(
res[res['approach'] == 'NotAdaptive']['diefk'][0], 1764.715, 2)
def test_diefk1(self):
input_file = resource_filename(__name__, 'traces.csv')
traces = diefpy.load_trace(input_file)
test = "Q9.rq"
k = 1000
res = diefpy.diefk(traces, test, k)
self.assertAlmostEqual(res[res['approach'] == 'Selective']['diefk'][0],
1106.507, 2)
self.assertAlmostEqual(res[res['approach'] == 'Random']['diefk'][0],
1524.351, 2)
self.assertAlmostEqual(
res[res['approach'] == 'NotAdaptive']['diefk'][0], 1197.350, 2)
def test_dieft1(self):
input_file = resource_filename(__name__, 'traces.csv')
traces = diefpy.load_trace(input_file)
test = "Q9.rq"
t = 7.5
res = diefpy.dieft(traces, test, t)
self.assertAlmostEqual(res[res['approach'] == 'Selective']['dieft'][0],
1203.705, 3)
self.assertAlmostEqual(res[res['approach'] == 'Random']['dieft'][0],
5192.282, 3)
self.assertAlmostEqual(
res[res['approach'] == 'NotAdaptive']['dieft'][0], 7485.623, 3)
def traces():
input_file_traces = resource_filename('diefpy', 'data/traces.csv')
return diefpy.load_trace(input_file_traces)