def test_noFit(self):
"""Cases where fit is not possible.
"""
self._linearWorkspace(0)
fitResult = FitGaussian(self.ws, 0)
self.assertTupleEqual((0.0, 0.0), fitResult)
self._veryNarrowPeakWorkspace()
fitResult = FitGaussian(self.ws, 0)
self.assertTupleEqual((0.0, 0.0), fitResult)
def test_errors(self):
"""Conditions that raise RuntimeError.
"""
self._linearWorkspace(0)
with self.assertRaises(RuntimeError):
# bad index
fitResult = FitGaussian(self.ws, 1)
def _guessPeak(self, peakCentre, height, sigma):
"""Test-fitting one generated Gaussian peak.
"""
self._gaussianWorkspace(peakCentre, height, sigma)
fitPeakCentre, fitSigma = FitGaussian(self.ws, 0)
# require a close relative match between given and fitted values
diffPeakCentre = abs((fitPeakCentre - peakCentre) / peakCentre)
diffSigma = abs((fitSigma - sigma) / sigma)
self.assertLess(diffPeakCentre, 0.03)
self.assertLess(diffSigma, 1e-6)