from SimPEG.Mesh import TensorMesh from SimPEG.Mesh.NewTreeMesh import TreeMesh import numpy as np import unittest import matplotlib.pyplot as plt TOL = 1e-10 class TestQuadTreeMesh(unittest.TestCase): def setUp(self): M = TreeMesh([np.ones(x) for x in [3,2]]) M.refineFace(0) self.M = M M.number() # M.plotGrid(showIt=True) def test_MeshSizes(self): self.assertTrue(self.M.nC==9) self.assertTrue(self.M.nF==25) self.assertTrue(self.M.nFx==12) self.assertTrue(self.M.nFy==13) self.assertTrue(self.M.nE==25) self.assertTrue(self.M.nEx==13) self.assertTrue(self.M.nEy==12) def test_gridCC(self): x = np.r_[0.25,0.75,1.5,2.5,0.25,0.75,0.5,1.5,2.5] y = np.r_[0.25,0.25,0.5,0.5,0.75,0.75,1.5,1.5,1.5] self.assertTrue(np.linalg.norm((np.c_[x,y]-self.M.gridCC).flatten()) == 0) def test_gridN(self): x = np.r_[0,0.5,1,2,3,0,0.5,1,0,0.5,1,2,3,0,1,2,3] y = np.r_[0,0,0,0,0,.5,.5,.5,1,1,1,1,1,2,2,2,2] self.assertTrue(np.linalg.norm((np.c_[x,y]-self.M.gridN).flatten()) == 0) def test_gridFx(self): x = np.r_[0.0,0.5,1.0,2.0,3.0,0.0,0.5,1.0,0.0,1.0,2.0,3.0] y = np.r_[0.25,0.25,0.25,0.5,0.5,0.75,0.75,0.75,1.5,1.5,1.5,1.5] self.assertTrue(np.linalg.norm((np.c_[x,y]-self.M.gridFx).flatten()) == 0) def test_gridFy(self): x = np.r_[0.25,0.75,1.5,2.5,0.25,0.75,0.25,0.75,1.5,2.5,0.5,1.5,2.5] y = np.r_[0,0,0,0,0.5,0.5,1,1,1,1,2,2,2] self.assertTrue(np.linalg.norm((np.c_[x,y]-self.M.gridFy).flatten()) == 0) def test_gridEx(self): x = np.r_[0.25,0.75,1.5,2.5,0.25,0.75,0.25,0.75,1.5,2.5,0.5,1.5,2.5] y = np.r_[0,0,0,0,0.5,0.5,1,1,1,1,2,2,2] self.assertTrue(np.linalg.norm((np.c_[x,y]-self.M.gridEx).flatten()) == 0) def test_gridEy(self): x = np.r_[0.0,0.5,1.0,2.0,3.0,0.0,0.5,1.0,0.0,1.0,2.0,3.0] y = np.r_[0.25,0.25,0.25,0.5,0.5,0.75,0.75,0.75,1.5,1.5,1.5,1.5] self.assertTrue(np.linalg.norm((np.c_[x,y]-self.M.gridEy).flatten()) == 0) def test_vol(self): v = np.r_[0.25,0.25,1,1,0.25,0.25,1,1,1] self.assertTrue(np.linalg.norm((v-self.M.vol)) < TOL) def test_edge(self): ex = np.r_[0.5,0.5,1,1,0.5,0.5,0.5,0.5,1,1,1,1,1] ey = np.r_[0.5,0.5,0.5,1,1,0.5,0.5,0.5,1,1,1,1] self.assertTrue(np.linalg.norm((np.r_[ex,ey]-self.M.edge)) < TOL) def test_area(self): ax = np.r_[0.5,0.5,0.5,1,1,0.5,0.5,0.5,1,1,1,1] ay = np.r_[0.5,0.5,1,1,0.5,0.5,0.5,0.5,1,1,1,1,1] self.assertTrue(np.linalg.norm((np.r_[ax,ay]-self.M.area)) < TOL) class SimpleOctreeOperatorTests(unittest.TestCase): def setUp(self): h1 = np.random.rand(5) h2 = np.random.rand(7) h3 = np.random.rand(3) # self.tM = TensorMesh([h1,h2,h3]) # self.oM = TreeMesh([h1,h2,h3]) self.tM2 = TensorMesh([h1,h2]) self.oM2 = TreeMesh([h1,h2]) # self.oM2.plotGrid(showIt=True) def test_faceDiv(self): # self.assertAlmostEqual((self.tM.faceDiv - self.oM.faceDiv).toarray().sum(), 0) self.assertAlmostEqual((self.tM2.faceDiv - self.oM2.faceDiv).toarray().sum(), 0) # def test_nodalGrad(self): # self.assertAlmostEqual((self.tM.nodalGrad - self.oM.nodalGrad).toarray().sum(), 0) # self.assertAlmostEqual((self.tM2.nodalGrad - self.oM2.nodalGrad).toarray().sum(), 0) # def test_edgeCurl(self): # self.assertAlmostEqual((self.tM.edgeCurl - self.oM.edgeCurl).toarray().sum(), 0) # # self.assertAlmostEqual((self.tM2.edgeCurl - self.oM2.edgeCurl).toarray().sum(), 0) # def test_InnerProducts(self): # self.assertAlmostEqual((self.tM.getFaceInnerProduct() - self.oM.getFaceInnerProduct()).toarray().sum(), 0) # self.assertAlmostEqual((self.tM2.getFaceInnerProduct() - self.oM2.getFaceInnerProduct()).toarray().sum(), 0) # self.assertAlmostEqual((self.tM2.getEdgeInnerProduct() - self.oM2.getEdgeInnerProduct()).toarray().sum(), 0) # self.assertAlmostEqual((self.tM.getEdgeInnerProduct() - self.oM.getEdgeInnerProduct()).toarray().sum(), 0) if __name__ == '__main__': unittest.main()