def test_offset_works(self):
"Makes sure offset works"
reference = DeltaFOverF(self.signal, period=self.period, mode='mean')
test = DeltaFOverF(self.signal,
period=self.period,
mode='mean',
offset=10000)
equal = np.array_equal(test, reference)
self.assertFalse(equal)
def test_with_reference_no_detrend(self):
"Tests with reference and no detrend."
output = NormalizeSignal(self.signal, self.reference,
fs=self.fs, detrend=False)
test_sig = FilterSignal(self.signal, highcut=40.0, fs=self.fs)
test_ref = FilterSignal(self.reference, highcut=40.0, fs=self.fs)
test_sig = DeltaFOverF(test_sig)
test_ref = DeltaFOverF(test_ref)
test_output = test_sig - test_ref
equal = np.array_equal(test_output, output)
self.assertTrue(equal)
def test_no_reference_nor_detrend(self):
"Tests with no reference and no detrend."
output = NormalizeSignal(self.signal, fs=self.fs, detrend=False)
test_output = FilterSignal(self.signal, highcut=40.0, fs=self.fs)
test_output = DeltaFOverF(test_output)
equal = np.array_equal(test_output, output)
self.assertTrue(equal)
def test_reference_mode_works(self):
"Makes sure reference mode works"
test_signal = (self.signal - self.signal2)/self.signal2
test_signal = test_signal * 100.0
signal = DeltaFOverF(self.signal, reference=self.signal2, mode='reference')
equal = np.array_equal(test_signal, signal)
self.assertTrue(equal)
def test_no_reference_with_detrend(self):
"Tests with no reference but detrend"
output = NormalizeSignal(self.signal, fs=self.fs, detrend=True)
test_output = FilterSignal(self.signal, highcut=40.0, fs=self.fs)
test_output = DeltaFOverF(test_output)
test_output = test_output - FilterSignal(test_output, btype='savgol')
equal = np.array_equal(test_output, output)
self.assertTrue(equal)
def test_mean_mode_works(self):
"Makes sure mean mode works"
test_signal = (self.signal - np.mean(self.signal)) / np.mean(
self.signal)
test_signal = test_signal * 100.0
equal = np.array_equal(test_signal,
DeltaFOverF(self.signal, mode='mean'))
self.assertTrue(equal)
def test_period_median_works(self):
"Makes sure period_median mode works"
reference = np.median(self.signal[self.period[0]:self.period[1]])
test_signal = (self.signal - reference)/reference
test_signal = test_signal * 100.0
equal = np.array_equal(test_signal, DeltaFOverF(self.signal,
period=self.period, mode='period_median'))
self.assertTrue(equal)
