def test_low_rank(self):
for _ in range(0, 100):
rank = random.randint(3, 8)
M = mg.low_rank(15, rank)
actual_rank = numpy.linalg.matrix_rank(M, mg.delta() * 4)
self.assertEqual(actual_rank, rank)
def test_low_rank(self):
for _ in range(0, 100):
rank = random.randint(3, 8)
M = mg.low_rank(15, rank)
actual_rank = numpy.linalg.matrix_rank(M, mg.delta() * 4)
self.assertEqual(actual_rank, rank)
def test_ortonormal(self):
n = 15
I = sp.identity(n)
for _ in range(0, 100):
M = mg.ortonormal(n)
self.assertTrue( (M.dot(M.T) - I <= mg.delta()).all() )
def test_ortonormal(self):
n = 15
I = sp.identity(n)
for _ in range(0, 100):
M = mg.ortonormal(n)
self.assertTrue((M.dot(M.T) - I <= mg.delta()).all())
