def create_model_from_data(self, data):
model = ATD95(
data["X"],
data["Y"],
data["Z"],
data["X_0"],
data["Y_0"],
data["Z_0"],
data["Y_02"],
data["K_1"],
data["K_2"],
data["sigma"],
)
return model
def test_final_response_calculation():
assert_almost_equal(ATD95._calculate_final_response(0), 0)
assert_almost_equal(ATD95._calculate_final_response(100), 1.0 / 3.0)
assert_almost_equal(ATD95._calculate_final_response(200), 0.5)
assert_almost_equal(ATD95._calculate_final_response(10000),
0.980392157)
def test_xyz_to_lms():
l, m, s = ATD95._xyz_to_lms(numpy.array([1, 1, 1]))
assert_almost_equal(l, 0.7946522478109985)
assert_almost_equal(m, 0.9303058494144267)
assert_almost_equal(s, 0.7252006614718631)
def create_model_from_data(self, data):
model = ATD95(data['X'], data['Y'], data['Z'], data['X_0'],
data['Y_0'], data['Z_0'], data['Y_02'], data['K_1'],
data['K_2'], data['sigma'])
return model
def test_final_response_calculation():
assert_almost_equal(ATD95._calculate_final_response(0), 0)
assert_almost_equal(ATD95._calculate_final_response(100), 1.0 / 3.0)
assert_almost_equal(ATD95._calculate_final_response(200), 0.5)
assert_almost_equal(ATD95._calculate_final_response(10000), 0.980392157)
def test_xyz_to_lms():
l, m, s = ATD95._xyz_to_lms(numpy.array([1, 1, 1]))
assert_almost_equal(l, 0.7946522478109985)
assert_almost_equal(m, 0.9303058494144267)
assert_almost_equal(s, 0.7252006614718631)
