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edgeCurl is O(h) not O(h^2) ????
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@@ -0,0 +1,103 @@
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import numpy as np
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import unittest
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from SimPEG.Tests import OrderTest
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import matplotlib.pyplot as plt
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#TODO: 'randomTensorMesh'
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MESHTYPES = ['uniformTree'] #['randomTree', 'uniformTree']
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call2 = lambda fun, xyz: fun(xyz[:, 0], xyz[:, 1])
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call3 = lambda fun, xyz: fun(xyz[:, 0], xyz[:, 1], xyz[:, 2])
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cart_row2 = lambda g, xfun, yfun: np.c_[call2(xfun, g), call2(yfun, g)]
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cart_row3 = lambda g, xfun, yfun, zfun: np.c_[call3(xfun, g), call3(yfun, g), call3(zfun, g)]
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cartF2 = lambda M, fx, fy: np.vstack((cart_row2(M.gridFx, fx, fy), cart_row2(M.gridFy, fx, fy)))
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cartE2 = lambda M, ex, ey: np.vstack((cart_row2(M.gridEx, ex, ey), cart_row2(M.gridEy, ex, ey)))
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cartF3 = lambda M, fx, fy, fz: np.vstack((cart_row3(M.gridFx, fx, fy, fz), cart_row3(M.gridFy, fx, fy, fz), cart_row3(M.gridFz, fx, fy, fz)))
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cartE3 = lambda M, ex, ey, ez: np.vstack((cart_row3(M.gridEx, ex, ey, ez), cart_row3(M.gridEy, ex, ey, ez), cart_row3(M.gridEz, ex, ey, ez)))
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class TestFaceDiv2D(OrderTest):
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name = "Face Divergence 2D"
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meshTypes = MESHTYPES
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meshDimension = 2
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meshSizes = [16, 32]
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def getError(self):
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#Test function
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fx = lambda x, y: np.sin(2*np.pi*x)
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fy = lambda x, y: np.sin(2*np.pi*y)
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sol = lambda x, y: 2*np.pi*(np.cos(2*np.pi*x)+np.cos(2*np.pi*y))
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Fc = cartF2(self.M, fx, fy)
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F = self.M.projectFaceVector(Fc)
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divF = self.M.faceDiv.dot(F)
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divF_ana = call2(sol, self.M.gridCC)
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err = np.linalg.norm((divF-divF_ana), np.inf)
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# self.M.plotImage(divF-divF_ana, showIt=True)
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return err
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def test_order(self):
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self.orderTest()
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class TestFaceDiv3D(OrderTest):
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name = "Face Divergence 3D"
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meshTypes = MESHTYPES
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meshSizes = [8, 16]
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def getError(self):
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#Test function
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fx = lambda x, y, z: np.sin(2*np.pi*x)
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fy = lambda x, y, z: np.sin(2*np.pi*y)
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fz = lambda x, y, z: np.sin(2*np.pi*z)
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sol = lambda x, y, z: (2*np.pi*np.cos(2*np.pi*x)+2*np.pi*np.cos(2*np.pi*y)+2*np.pi*np.cos(2*np.pi*z))
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Fc = cartF3(self.M, fx, fy, fz)
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F = self.M.projectFaceVector(Fc)
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divF = self.M.faceDiv.dot(F)
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divF_ana = call3(sol, self.M.gridCC)
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return np.linalg.norm((divF-divF_ana), np.inf)
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def test_order(self):
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self.orderTest()
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class TestCurl(OrderTest):
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name = "Curl"
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meshTypes = MESHTYPES
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meshSizes = [4, 8, 16, 32]
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def getError(self):
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# fun: i (cos(y)) + j (cos(z)) + k (cos(x))
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# sol: i (sin(z)) + j (sin(x)) + k (sin(y))
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funX = lambda x, y, z: np.cos(2*np.pi*y)
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funY = lambda x, y, z: np.cos(2*np.pi*z)
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funZ = lambda x, y, z: np.cos(2*np.pi*x)
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solX = lambda x, y, z: 2*np.pi*np.sin(2*np.pi*z)
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solY = lambda x, y, z: 2*np.pi*np.sin(2*np.pi*x)
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solZ = lambda x, y, z: 2*np.pi*np.sin(2*np.pi*y)
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Ec = cartE3(self.M, funX, funY, funZ)
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E = self.M.projectEdgeVector(Ec)
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Fc = cartF3(self.M, solX, solY, solZ)
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curlE_ana = self.M.projectFaceVector(Fc)
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curlE = self.M.edgeCurl.dot(E)
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err = np.linalg.norm((curlE - curlE_ana), np.inf)
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return err
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def test_order(self):
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self.orderTest()
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if __name__ == '__main__':
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unittest.main()
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@@ -11,16 +11,21 @@ TOL = 1e-10
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class TestSimpleQuadTree(unittest.TestCase):
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def test_counts(self):
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M = Tree([8,8])
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nc = 8
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h1 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h2 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h = [hi/np.sum(hi) for hi in [h1, h2]] # normalize
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M = Tree(h)
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M._refineCell([0,0,0])
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M._refineCell([0,0,1])
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M.number()
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# M.plotGrid(showIt=True)
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# assert sorted(M._cells) == [2, 34, 66, 99, 107, 115, 123, 129, 257, 386, 418, 450, 482]
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assert M.nhFx == 2
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assert M.nFx == 9
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assert M.vol.sum() == 1.0
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assert np.allclose(M.vol.sum(), 1.0)
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assert np.allclose(np.r_[M._areaFxFull, M._areaFyFull], M._deflationMatrix('F') * M.area)
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# def test_connectivity(self):
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@@ -48,10 +53,7 @@ class TestSimpleQuadTree(unittest.TestCase):
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# assert T._getNextCell([0,2,2], direction=1) == T._index([0,4,1])
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# assert T._getNextCell([0,4,1], direction=1, positive=False) == [T._index([0,2,2]), [T._index([2,3,3]), T._index([3,3,3])]]
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class TestOperatorsQuadTree(unittest.TestCase):
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def test_counts(self):
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def test_faceDiv(self):
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hx, hy = np.r_[1.,2,3,4], np.r_[5.,6,7,8]
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T = Tree([hx, hy], levels=2)
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@@ -76,7 +78,31 @@ class TestOperatorsQuadTree(unittest.TestCase):
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assert (M.faceDiv - T.permuteCC*T.faceDiv*T.permuteF.T).nnz == 0
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class TestOperatorsOcTree(unittest.TestCase):
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class TestOcTree(unittest.TestCase):
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def test_counts(self):
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nc = 8
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h1 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h2 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h3 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h = [hi/np.sum(hi) for hi in [h1, h2, h3]] # normalize
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M = Tree(h, levels=3)
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M._refineCell([0,0,0,0])
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M._refineCell([0,0,0,1])
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M.number()
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# M.plotGrid(showIt=True)
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# assert M.nhFx == 2
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# assert M.nFx == 9
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assert np.allclose(M.vol.sum(), 1.0)
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# assert np.allclose(M._areaFxFull, (M._deflationMatrix('F') * M.area)[:M.ntFx])
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# assert np.allclose(M._areaFyFull, (M._deflationMatrix('F') * M.area)[M.ntFx:(M.ntFx+M.ntFy)])
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# assert np.allclose(M._areaFzFull, (M._deflationMatrix('F') * M.area)[(M.ntFx+M.ntFy):])
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# assert np.allclose(M._edgeExFull, (M._deflationMatrix('E') * M.edge)[:M.ntEx])
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# assert np.allclose(M._edgeEyFull, (M._deflationMatrix('E') * M.edge)[M.ntEx:(M.ntEx+M.ntEy)])
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# assert np.allclose(M._edgeEzFull, (M._deflationMatrix('E') * M.edge)[(M.ntEx+M.ntEy):])
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def test_faceDiv(self):
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@@ -136,6 +162,23 @@ class TestOperatorsOcTree(unittest.TestCase):
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assert np.allclose(Mr.getFaceInnerProduct().todense(), (M.permuteF * M.getFaceInnerProduct() * M.permuteF.T).todense())
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assert np.allclose(Mr.getEdgeInnerProduct().todense(), (M.permuteE * M.getEdgeInnerProduct() * M.permuteE.T).todense())
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def test_VectorIdenties(self):
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hx, hy, hz = [[(1,4)], [(1,4)], [(1,4)]]
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M = Tree([hx, hy, hz], levels=2)
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Mr = Mesh.TensorMesh([hx, hy, hz])
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assert (M.faceDiv * M.edgeCurl).nnz == 0
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assert (Mr.faceDiv * Mr.edgeCurl).nnz == 0
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hx, hy, hz = np.r_[1.,2,3,4], np.r_[5.,6,7,8], np.r_[9.,10,11,12]
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M = Tree([hx, hy, hz], levels=2)
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Mr = Mesh.TensorMesh([hx, hy, hz])
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assert np.max(np.abs((M.faceDiv * M.edgeCurl).todense().flatten())) < TOL
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assert np.max(np.abs((Mr.faceDiv * Mr.edgeCurl).todense().flatten())) < TOL
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if __name__ == '__main__':
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