def test_no_match(self):
"""
Test limit situations where no harmonization should happen
"""
# model provided does not convert from the native magnitude scale
for measure in self.measures:
measure.scale = "fake scale"
h = Harmoniser(target_scale=self.target_scale)
h.add_conversion_formula_from_model(self.a_model)
converted, unconverted = h.harmonise(self.measures)
self.assertEqual(0, len(converted))
self.assertEqual(self.number_of_measures, len(unconverted))
# no model are provided
h = Harmoniser(target_scale=self.target_scale)
converted, unconverted = h.harmonise(self.measures)
self.assertEqual(0, len(converted))
self.assertEqual(self.number_of_measures, len(unconverted))
# no model matches the target scale
h = Harmoniser(target_scale="wrong scale")
h.add_conversion_formula_from_model(self.a_model)
converted, unconverted = h.harmonise(self.measures)
self.assertEqual(0, len(converted))
self.assertEqual(self.number_of_measures, len(unconverted))
def test_disallow_trivial_conversion(self):
h = Harmoniser(target_scale=self.target_scale)
h.add_conversion_formula_from_model(self.a_model)
h.add_conversion_formula_from_model(self.ya_model)
converted, unconverted = h.harmonise(self.measures,
allow_trivial_conversion=False)
self.assertConversion(converted, 20, unconverted, 10)
def test_more_model(self):
h = Harmoniser(target_scale=self.target_scale)
h.add_conversion_formula_from_model(self.a_model)
h.add_conversion_formula_from_model(self.ya_model)
converted, unconverted = h.harmonise(self.measures)
self.assertConversion(converted, self.number_of_measures,
unconverted, 0)
def test_disallow_trivial_conversion(self):
h = Harmoniser(target_scale=self.target_scale)
h.add_conversion_formula_from_model(self.a_model,
C(scale=self.a_native_scale))
h.add_conversion_formula_from_model(self.ya_model,
C(scale=self.ya_native_scale))
result = h.harmonise(self.measures, allow_trivial_conversion=False)
self.assertConversion(result, 20, 10)
def test_more_model(self):
h = Harmoniser(target_scale=self.target_scale)
h.add_conversion_formula_from_model(self.a_model,
C(scale=self.a_native_scale))
h.add_conversion_formula_from_model(self.ya_model,
C(scale=self.ya_native_scale))
result = h.harmonise(self.measures)
self.assertConversion(result, self.number_of_measures, 0)
def test_one_model(self):
"""
Test with one model. Given a target scale, a list of measures
(in a single magnitude scales), and an empirical magnitude
scaling relationship (between a native scale mb and the
considered target scale), an Harmoniser should convert to the
target scale only the measure in that native scale
"""
mismatches = self.number_of_measures / 3
h = Harmoniser(target_scale=self.target_scale)
h.add_conversion_formula_from_model(self.a_model)
converted, unconverted = h.harmonise(self.measures)
self.assertConversion(converted, self.number_of_measures - mismatches,
unconverted, mismatches)
