Innerproduct work. Testing, visualization, and 2D - NOTE there are bugs in anything but a uniform LOM

Not very helpful yet!
This commit is contained in:
Rowan Cockett
2013-08-05 11:51:03 -07:00
parent e2e38074fc
commit e073eaeb8b
9 changed files with 465 additions and 116 deletions
+25
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@@ -3,6 +3,7 @@ import unittest
import sys
sys.path.append('../')
from utils import mkvc, ndgrid, indexCube
from sputils import sdiag, inv3X3BlockDiagonal, inv2X2BlockDiagonal, sp
class TestSequenceFunctions(unittest.TestCase):
@@ -62,5 +63,29 @@ class TestSequenceFunctions(unittest.TestCase):
self.assertTrue(np.all(indexCube('G', nN) == np.array([13, 14, 16, 17, 22, 23, 25, 26])))
self.assertTrue(np.all(indexCube('H', nN) == np.array([10, 11, 13, 14, 19, 20, 22, 23])))
def test_invXXXBlockDiagonal(self):
a = [np.random.rand(5, 1) for i in range(4)]
B = inv2X2BlockDiagonal(*a)
A = sp.vstack((sp.hstack((sdiag(a[0]), sdiag(a[1]))),
sp.hstack((sdiag(a[2]), sdiag(a[3])))))
Z2 = B*A - sp.eye(10, 10)
self.assertTrue(np.linalg.norm(Z2.todense().ravel(), 2) < 1e-12)
a = [np.random.rand(5, 1) for i in range(9)]
B = inv3X3BlockDiagonal(*a)
A = sp.vstack((sp.hstack((sdiag(a[0]), sdiag(a[1]), sdiag(a[2]))),
sp.hstack((sdiag(a[3]), sdiag(a[4]), sdiag(a[5]))),
sp.hstack((sdiag(a[6]), sdiag(a[7]), sdiag(a[8])))))
Z3 = B*A - sp.eye(15, 15)
self.assertTrue(np.linalg.norm(Z3.todense().ravel(), 2) < 1e-12)
if __name__ == '__main__':
unittest.main()