def test_denormaliser_maximum():
"""Confirm that input equal to +1 is denormalised to x_max"""
x_min = 10
x_max = 20
normaliser = Normaliser(x_min=x_min, x_max=x_max)
normalised_input = normaliser.denormalise(1.)
expected_output = x_max
assert normalised_input == expected_output
def test_denormaliser_middle():
"""Confirm that input equal to 0 is denormalised to half way between x_min and x_max"""
x_min = 10
x_max = 20
normaliser = Normaliser(x_min=x_min, x_max=x_max)
normalised_input = normaliser.denormalise(0.)
expected_output = (x_min + x_max) / 2.
assert normalised_input == expected_output
def test_normaliser_out_of_range():
"""Confirm that input greater than +1 is denormalised to a value proportionately greater than x_max"""
x_min = 10
x_max = 20
normaliser = Normaliser(x_min=x_min, x_max=x_max)
input = 2.
normalised_input = normaliser.denormalise(input)
expected_output = x_max + (input - 1) * 0.5 * (x_max - x_min)
assert normalised_input == expected_output
def _initialise_output_normalisation(self):
self.norm_output = Normaliser(x_min=0.00000385066859365878,
x_max=0.522417054644758)
def _initialise_output_normalisation(self):
self.norm_output = Normaliser(x_min=0.000181230723879,
x_max=0.999638214714515)
def _initialise_output_normalisation(self):
self.norm_output = Normaliser(x_min=0.000153013463222,
x_max=0.977135096979553)
def _initialise_normalisation(self):
"""Initialise the Normalisers to preprocess inputs according to the expected/validated minimums & maximums"""
self.norm_b3 = Normaliser(x_min=0., x_max=0.253061520471542)
self.norm_b4 = Normaliser(x_min=0., x_max=0.290393577911328)
self.norm_b5 = Normaliser(x_min=0., x_max=0.305398915248555)
self.norm_b6 = Normaliser(x_min=0.006637972542253,
x_max=0.608900395797889)
self.norm_b7 = Normaliser(x_min=0.013972727018939,
x_max=0.753827384322927)
self.norm_b8a = Normaliser(x_min=0.026690138082061,
x_max=0.782011770669178)
self.norm_b11 = Normaliser(x_min=0.016388074192258,
x_max=0.493761397883092)
self.norm_b12 = Normaliser(x_min=0., x_max=0.493025984460231)
self.norm_cos_view_zenith = Normaliser(x_min=0.918595400582046,
x_max=0.99999999999139)
self.norm_cos_sun_zenith = Normaliser(x_min=0.342022871159208,
x_max=0.936206429175402)
self.norm_cos_rel_azimuth = Normaliser(x_min=-0.999999982118044,
x_max=0.999999998910077)
self._initialise_output_normalisation()
def test_denormaliser_minimum():
"""Confirm that input equal to -1. is denormalised to x_min"""
normaliser = Normaliser(x_min=10, x_max=20)
denormalised_input = normaliser.denormalise(-1.)
expected_output = 10
assert denormalised_input == expected_output
def test_normaliser_minimum():
"""Confirm that input equal to x_min is normalised to -1"""
normaliser = Normaliser(x_min=10, x_max=20)
normalised_input = normaliser.normalise(10)
expected_output = -1.
assert normalised_input == expected_output
def test_normaliser_out_of_range():
"""Confirm that input above x_max is normalised to >1"""
normaliser = Normaliser(x_min=10, x_max=20)
normalised_input = normaliser.normalise(25)
expected_output = 2.
assert normalised_input == expected_output
def test_normaliser_middle():
"""Confirm that input equal to midway between x_min & x_max is normalised to 0."""
normaliser = Normaliser(x_min=10, x_max=20)
normalised_input = normaliser.normalise(15)
expected_output = 0.
assert normalised_input == expected_output