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https://github.com/wassname/simpeg.git
synced 2026-06-27 22:23:39 +08:00
boundaryCondition initial work.
This commit is contained in:
@@ -460,6 +460,104 @@ class DiffOperators(object):
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_edgeCurl = None
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edgeCurl = property(**edgeCurl())
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def getBCProjWF(self, BC, discretization='CC'):
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"""
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The weak form boundary condition projection matrices.
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Examples::
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BC = 'neumann' # Neumann in all directions
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BC = ['neumann', 'dirichlet', 'neumann'] # 3D, Dirichlet in y Neumann else
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BC = [['neumann', 'dirichlet'], 'dirichlet', 'dirichlet'] # 3D, Neumann in x on bottom of domain,
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# Dirichlet else
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"""
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if(type(BC) is str):
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BC = [BC for _ in self.vnC] # Repeat the str self.dim times
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elif(type(BC) is list):
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assert len(BC) == self.dim, 'BC list must be the size of your mesh'
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else:
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raise Exception("BC must be a str or a list.")
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for i, bc_i in enumerate(BC):
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BC[i] = checkBC(bc_i)
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def projDirichlet(n, bc):
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bc = checkBC(bc)
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ij = ([0,n], [0,1])
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vals = [0,0]
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if(bc[0] == 'dirichlet'):
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vals[0] = -1
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if(bc[1] == 'dirichlet'):
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vals[1] = 1
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return sp.csr_matrix((vals, ij), shape=(n+1,2))
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def projNeumannIn(n, bc):
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bc = checkBC(bc)
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P = sp.identity(n+1).tocsr()
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if(bc[0] == 'neumann'):
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P = P[1:,:]
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if(bc[0] == 'neumann'):
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P = P[:-1,:]
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return P
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def projNeumannOut(n, bc):
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bc = checkBC(bc)
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ij = ([0, 1],[0, n])
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vals = [0,0]
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if(bc[0] == 'neumann'):
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vals[0] = 1
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if(bc[1] == 'neumann'):
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vals[1] = 1
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return sp.csr_matrix((vals, ij), shape=(2,n+1))
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n = self.vnC
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indF = self.faceBoundaryInd
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if(self.dim == 1):
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Pbc = projDirichlet(n[0], BC[0])
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indF = indF[0] | indF[1]
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Pbc = Pbc*sdiag(self.area[indF])
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Pin = projNeumannIn(n[0], BC[0])
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Pout = projNeumannOut(n[0], BC[0])
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elif(self.dim == 2):
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Pbc1 = sp.kron(speye(n[1]), projDirichlet(n[0], BC[0]))
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Pbc2 = sp.kron(projDirichlet(n[1], BC[1]), speye(n[0]))
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Pbc = sp.block_diag((Pbc1, Pbc2), format="csr")
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indF = np.r_[(indF[0] | indF[1]), (indF[2] | indF[3])]
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Pbc = Pbc*sdiag(self.area[indF])
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P1 = sp.kron(speye(n[1]), projNeumannIn(n[0], BC[0]))
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P2 = sp.kron(projNeumannIn(n[1], BC[1]), speye(n[0]))
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Pin = sp.block_diag((P1, P2), format="csr")
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P1 = sp.kron(speye(n[1]), projNeumannOut(n[0], BC[0]))
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P2 = sp.kron(projNeumannOut(n[1], BC[1]), speye(n[0]))
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Pout = sp.block_diag((P1, P2), format="csr")
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elif(self.dim == 3):
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Pbc1 = kron3(speye(n[2]), speye(n[1]), projDirichlet(n[0], BC[0]))
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Pbc2 = kron3(speye(n[2]), projDirichlet(n[1], BC[1]), speye(n[0]))
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Pbc3 = kron3(projDirichlet(n[2], BC[2]), speye(n[1]), speye(n[0]))
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Pbc = sp.block_diag((Pbc1, Pbc2, Pbc3), format="csr")
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indF = np.r_[(indF[0] | indF[1]), (indF[2] | indF[3]), (indF[4] | indF[5])]
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Pbc = Pbc*sdiag(self.area[indF])
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P1 = kron3(speye(n[2]), speye(n[1]), projNeumannIn(n[0], BC[0]))
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P2 = kron3(speye(n[2]), projNeumannIn(n[1], BC[1]), speye(n[0]))
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P3 = kron3(projNeumannIn(n[2], BC[2]), speye(n[1]), speye(n[0]))
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Pin = sp.block_diag((P1, P2, P3), format="csr")
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P1 = kron3(speye(n[2]), speye(n[1]), projNeumannOut(n[0], BC[0]))
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P2 = kron3(speye(n[2]), projNeumannOut(n[1], BC[1]), speye(n[0]))
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P3 = kron3(projNeumannOut(n[2], BC[2]), speye(n[1]), speye(n[0]))
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Pout = sp.block_diag((P1, P2, P3), format="csr")
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return Pbc, Pin, Pout
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# --------------- Averaging ---------------------
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@property
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@@ -419,6 +419,56 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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raise NotImplementedError('getInterpolationMat: locType=='+locType+' and mesh.dim=='+str(self.dim))
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return Q
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@property
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def faceBoundaryInd(self):
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"""
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Find indices of boundary faces in each direction
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"""
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if self.dim==1:
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indxd = (self.gridFx==min(self.gridFx))
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indxu = (self.gridFx==max(self.gridFx))
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return indxd, indxu
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elif self.dim==2:
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indxd = (self.gridFx[:,0]==min(self.gridFx[:,0]))
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indxu = (self.gridFx[:,0]==max(self.gridFx[:,0]))
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indyd = (self.gridFy[:,1]==min(self.gridFy[:,1]))
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indyu = (self.gridFy[:,1]==max(self.gridFy[:,1]))
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return indxd, indxu, indyd, indyu
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elif self.dim==3:
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indxd = (self.gridFx[:,0]==min(self.gridFx[:,0]))
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indxu = (self.gridFx[:,0]==max(self.gridFx[:,0]))
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indyd = (self.gridFy[:,1]==min(self.gridFy[:,1]))
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indyu = (self.gridFy[:,1]==max(self.gridFy[:,1]))
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indzd = (self.gridFz[:,2]==min(self.gridFz[:,2]))
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indzu = (self.gridFz[:,2]==max(self.gridFz[:,2]))
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return indxd, indxu, indyd, indyu, indzd, indzu
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@property
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def cellBoundaryInd(self):
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"""
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Find indices of boundary faces in each direction
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"""
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if self.dim==1:
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indxd = (self.gridCC==min(self.gridCC))
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indxu = (self.gridCC==max(self.gridCC))
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return indxd, indxu
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elif self.dim==2:
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indxd = (self.gridCC[:,0]==min(self.gridCC[:,0]))
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indxu = (self.gridCC[:,0]==max(self.gridCC[:,0]))
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indyd = (self.gridCC[:,1]==min(self.gridCC[:,1]))
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indyu = (self.gridCC[:,1]==max(self.gridCC[:,1]))
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return indxd, indxu, indyd, indyu
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elif self.dim==3:
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indxd = (self.gridCC[:,0]==min(self.gridCC[:,0]))
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indxu = (self.gridCC[:,0]==max(self.gridCC[:,0]))
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indyd = (self.gridCC[:,1]==min(self.gridCC[:,1]))
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indyu = (self.gridCC[:,1]==max(self.gridCC[:,1]))
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indzd = (self.gridCC[:,2]==min(self.gridCC[:,2]))
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indzu = (self.gridCC[:,2]==max(self.gridCC[:,2]))
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return indxd, indxu, indyd, indyu, indzd, indzu
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if __name__ == '__main__':
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print('Welcome to tensor mesh!')
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@@ -74,7 +74,7 @@ class TensorView(object):
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if I.size != np.prod(self.vnEz): ex, ey, I = self.r(I,'E','E','M')
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elif imageType[0] == 'E':
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plotAll = len(imageType) == 1
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options = {"direction":direction,"numbering":numbering,"annotationColor":annotationColor,"showIt":showIt}
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options = {"direction":direction,"numbering":numbering,"annotationColor":annotationColor,"showIt":False}
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fig = plt.figure(figNum)
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# Determine the subplot number: 131, 121
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numPlots = 130 if plotAll else len(imageType)/2*10+100
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@@ -92,10 +92,11 @@ class TensorView(object):
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ax_z = plt.subplot(numPlots+pltNum)
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self.plotImage(ez, imageType='Ez', ax=ax_z, **options)
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pltNum +=1
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if showIt: plt.show()
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return
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elif imageType[0] == 'F':
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plotAll = len(imageType) == 1
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options = {"direction":direction,"numbering":numbering,"annotationColor":annotationColor,"showIt":showIt}
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options = {"direction":direction,"numbering":numbering,"annotationColor":annotationColor,"showIt":False}
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fig = plt.figure(figNum)
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# Determine the subplot number: 131, 121
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numPlots = 130 if plotAll else len(imageType)/2*10+100
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@@ -113,6 +114,7 @@ class TensorView(object):
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ax_z = plt.subplot(numPlots+pltNum)
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self.plotImage(fxyz[2], imageType='Fz', ax=ax_z, **options)
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pltNum +=1
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if showIt: plt.show()
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return
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else:
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raise Exception("imageType must be 'CC', 'N','Fx','Fy','Fz','Ex','Ey','Ez'")
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@@ -93,9 +93,9 @@ class OrderTest(unittest.TestCase):
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h3 = np.ones(nc)/nc
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h = [h1, h2, h3]
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elif 'random' in self._meshType:
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h1 = np.random.rand(nc)
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h2 = np.random.rand(nc)
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h3 = np.random.rand(nc)
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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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else:
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raise Exception('Unexpected meshType')
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@@ -111,10 +111,12 @@ class OrderTest(unittest.TestCase):
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kwrd = 'rotate'
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else:
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raise Exception('Unexpected meshType')
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if self.meshDimension == 2:
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if self.meshDimension == 1:
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raise Exception('Lom not supported for 1D')
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elif self.meshDimension == 2:
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X, Y = Utils.exampleLomGird([nc, nc], kwrd)
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self.M = LogicallyOrthogonalMesh([X, Y])
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if self.meshDimension == 3:
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elif self.meshDimension == 3:
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X, Y, Z = Utils.exampleLomGird([nc, nc, nc], kwrd)
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self.M = LogicallyOrthogonalMesh([X, Y, Z])
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return 1./nc
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@@ -0,0 +1,166 @@
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import numpy as np
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import scipy.sparse as sp
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import unittest
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from TestUtils import OrderTest
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import matplotlib.pyplot as plt
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from SimPEG import Utils, Solver
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MESHTYPES = ['uniformTensorMesh']
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class Test1D_InhomogeneousDirichlet(OrderTest):
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name = "1D - Dirichlet"
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meshTypes = MESHTYPES
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meshDimension = 1
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expectedOrders = 2
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meshSizes = [4, 8, 16, 32, 64, 128]
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def getError(self):
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#Test function
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phi = lambda x: np.cos(np.pi*x)
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j_fun = lambda x: -np.pi*np.sin(np.pi*x)
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q_fun = lambda x: -(np.pi**2)*np.cos(np.pi*x)
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xc_anal = phi(self.M.gridCC)
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q_anal = q_fun(self.M.gridCC)
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j_anal = j_fun(self.M.gridFx)
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#TODO: Check where our boundary conditions are CCx or Nx
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# vec = self.M.vectorNx
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vec = self.M.vectorCCx
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bc = phi(vec[[0,-1]])
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P, Pin, Pout = self.M.getBCProjWF([['dirichlet', 'dirichlet']])
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Mc = self.M.getFaceInnerProduct()
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McI = Utils.sdInv(self.M.getFaceInnerProduct())
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G = -self.M.faceDiv.T * Utils.sdiag(self.M.vol)
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D = self.M.faceDiv
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j = McI*(G*xc_anal + P*bc)
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q = D*j
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# Rearrange if we know q to solve for x
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A = D*McI*G
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rhs = q_anal - D*McI*P*bc
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if self.myTest == 'j':
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err = np.linalg.norm((j-j_anal), np.inf)
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elif self.myTest == 'q':
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err = np.linalg.norm((q-q_anal), np.inf)
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elif self.myTest == 'xc':
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xc = Solver(A).solve(rhs)
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err = np.linalg.norm((xc-xc_anal), np.inf)
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elif self.myTest == 'xcJ':
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xc = Solver(A).solve(rhs)
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j = McI*(G*xc + P*bc)
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err = np.linalg.norm((j-j_anal), np.inf)
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return err
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def test_orderJ(self):
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self.name = "1D - InhomogeneousDirichlet_Forward j"
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self.myTest = 'j'
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self.orderTest()
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def test_orderQ(self):
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self.name = "1D - InhomogeneousDirichlet_Forward q"
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self.myTest = 'q'
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self.orderTest()
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def test_orderX(self):
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self.name = "1D - InhomogeneousDirichlet_Inverse"
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self.myTest = 'xc'
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self.orderTest()
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def test_orderXJ(self):
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self.name = "1D - InhomogeneousDirichlet_Inverse J"
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self.myTest = 'xcJ'
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self.orderTest()
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class Test2D_InhomogeneousDirichlet(OrderTest):
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name = "2D - Dirichlet"
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meshTypes = MESHTYPES
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meshDimension = 2
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expectedOrders = 2
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meshSizes = [4, 8, 16, 32]
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def getError(self):
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#Test function
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phi = lambda x: np.cos(np.pi*x[:,0])*np.cos(np.pi*x[:,1])
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j_funX = lambda x: -np.pi*np.sin(np.pi*x[:,0])*np.cos(np.pi*x[:,1])
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j_funY = lambda x: -np.pi*np.cos(np.pi*x[:,0])*np.sin(np.pi*x[:,1])
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q_fun = lambda x: -2*(np.pi**2)*phi(x)
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xc_anal = phi(self.M.gridCC)
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q_anal = q_fun(self.M.gridCC)
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jX_anal = j_funX(self.M.gridFx)
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jY_anal = j_funY(self.M.gridFy)
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j_anal = np.r_[jX_anal,jY_anal]
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#TODO: Check where our boundary conditions are CCx or Nx
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# fxm,fxp,fym,fyp = self.M.faceBoundaryInd
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# gBFx = self.M.gridFx[(fxm|fxp),:]
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# gBFy = self.M.gridFy[(fym|fyp),:]
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fxm,fxp,fym,fyp = self.M.cellBoundaryInd
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gBFx = self.M.gridCC[(fxm|fxp),:]
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gBFy = self.M.gridCC[(fym|fyp),:]
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bc = phi(np.r_[gBFx,gBFy])
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# P = sp.csr_matrix(([-1,1],([0,self.M.nF-1],[0,1])), shape=(self.M.nF, 2))
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P, Pin, Pout = self.M.getBCProjWF('dirichlet')
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Mc = self.M.getFaceInnerProduct()
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McI = Utils.sdInv(self.M.getFaceInnerProduct())
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G = -self.M.faceDiv.T * Utils.sdiag(self.M.vol)
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D = self.M.faceDiv
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j = McI*(G*xc_anal + P*bc)
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q = D*j
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# self.M.plotImage(j, 'FxFy', showIt=True)
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# Rearrange if we know q to solve for x
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A = D*McI*G
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rhs = q_anal - D*McI*P*bc
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if self.myTest == 'j':
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err = np.linalg.norm((j-j_anal), np.inf)
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elif self.myTest == 'q':
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err = np.linalg.norm((q-q_anal), np.inf)
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elif self.myTest == 'xc':
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xc = Solver(A).solve(rhs)
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err = np.linalg.norm((xc-xc_anal), np.inf)
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elif self.myTest == 'xcJ':
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xc = Solver(A).solve(rhs)
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j = McI*(G*xc + P*bc)
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err = np.linalg.norm((j-j_anal), np.inf)
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return err
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def test_orderJ(self):
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self.name = "2D - InhomogeneousDirichlet_Forward j"
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self.myTest = 'j'
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self.orderTest()
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def test_orderQ(self):
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self.name = "2D - InhomogeneousDirichlet_Forward q"
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self.myTest = 'q'
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self.orderTest()
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def test_orderX(self):
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self.name = "2D - InhomogeneousDirichlet_Inverse"
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self.myTest = 'xc'
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self.orderTest()
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def test_orderXJ(self):
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self.name = "2D - InhomogeneousDirichlet_Inverse J"
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self.myTest = 'xcJ'
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self.orderTest()
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if __name__ == '__main__':
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unittest.main()
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Block a user