def test___init__(self):
''' Just run the linear and quadratic interpolations '''
fseries, signalseries, errorseries = self.ServeInput()
interpolator = Interpolator(fseries, signalseries, running_regr_type = 'linear', windowlength=0)
y_interpolated = interpolator.y(fseries)
e_interpolated = interpolator.e(fseries)
self.assertAlmostEqual(numpy.sum(signalseries-y_interpolated), 0.0, places=10)
self.assertAlmostEqual(numpy.sum(e_interpolated), 0.0, places=10)
fseries, signalseries, errorseries = self.ServeInput()
interpolator = Interpolator(fseries, signalseries, running_regr_type = 'linear', windowlength=5)
y_interpolated = interpolator.y(fseries)
e_interpolated = interpolator.e(fseries)
fseries, signalseries, errorseries = self.ServeInput(create_errorseries=True)
interpolator = Interpolator(fseries, signalseries, running_regr_type = 'linear', windowlength=5)
y_interpolated = interpolator.y(fseries)
e_interpolated = interpolator.e(fseries)
fseries, signalseries, errorseries = self.ServeInput()
interpolator = Interpolator(fseries, signalseries, running_regr_type = 'quadratic', windowlength=5)
y_interpolated = interpolator.y(fseries)
e_interpolated = interpolator.e(fseries)
fseries, signalseries, errorseries = self.ServeInput(create_errorseries=True)
interpolator = Interpolator(fseries, signalseries, running_regr_type = 'quadratic', windowlength=5)
y_interpolated = interpolator.y(fseries)
e_interpolated = interpolator.e(fseries)
