def test_normalizing(self):
# eGaiT_database/P100_E4_left.dat
# A917.csv
calibrationLeft = self.tmp.write('left.csv',
b"2367.1,2274.9,2271.2\n1871.8,1795.5,1753.1\n1785.8,1684.4,1855.4")
# A6DF.csv
calibrationRight = self.tmp.write('right.csv',
b"2403.5,2254.8,2266.1\n1899.7,1769.3,1773.2\n1835.2, 1709.6,1860.5")
# first 12 bytes of P100_E4_left.dat
rawRight = shared.Sensorsegment._make([1762, 2155, 2024, 1849, 1713, 1864])
# first 12 bytes of P100_E4_right.dat
rawLeft = shared.Sensorsegment._make([1797, 2109, 2013, 1777, 1688, 1850])
# expected left end results
resL = shared.Sensorsegment._make([-1.3020391681808998,0.30788485607008736,0.003281219841729923,-3.2222629073599247,1.318198462101761,-1.9772976931527246])
# expected right end results
resR = shared.Sensorsegment._make([-1.5466454942437473,0.5888774459320278,0.01765063907486269,5.053094104723528,1.2449652142072833,1.2815818381545223])
sensL = Sensor(shared.Orientation.left, calibrationLeft)
sensR = Sensor(shared.Orientation.right, calibrationRight)
bar = sensL._normalizeRawSegment(rawLeft)
foo = sensR._normalizeRawSegment(rawRight)
self.assertEqual(resL, bar)
self.assertEqual(resR, foo)
def test_normalizing_return(self):
sens = Sensor(shared.Orientation(1).name, self.calibration)
foo = shared.Sensorsegment._make([1,2,3,4,5,6])
bar = sens._normalizeRawSegment(foo)
self.assertIsInstance(foo, type(foo))
