# Copyright (c) IMToolkit Development Team
# This toolkit is released under the MIT License, see LICENSE.txt
import unittest
import numpy as np
from imtoolkit.Basis import Basis
[docs]class BasisTest(unittest.TestCase):
[docs] def getMeanNorm(self, b):
return np.mean(np.square(np.linalg.norm(b, axis=(1,2))))
[docs] def test_IdentityBasis(self):
np.set_printoptions(linewidth=np.inf)
self.assertAlmostEqual(self.getMeanNorm(Basis("i", 4, 2).bases), 2)
self.assertAlmostEqual(self.getMeanNorm(Basis("d", 4, 2).bases), 2)
self.assertAlmostEqual(self.getMeanNorm(Basis("r", 4, 2).bases), 2)
self.assertAlmostEqual(self.getMeanNorm(Basis("h2", 4, 1).bases), 1)
self.assertAlmostEqual(self.getMeanNorm(Basis("h4", 8, 2).bases), 2)
if __name__ == '__main__':
unittest.main()
