mirror of
https://github.com/wassname/simpeg.git
synced 2026-07-03 07:45:06 +08:00
@@ -5,7 +5,6 @@ from SimPEG.utils import ModelBuilder, sdiag, mkvc
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from SimPEG import Solver
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import numpy as np
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import scipy.sparse as sp
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import scipy.sparse.linalg as linalg
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class DCProblem(ModelTransforms.LogModel, Problem):
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+38
-13
@@ -102,7 +102,7 @@ class BaseMesh(object):
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elif xType in ['F', 'E']:
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# This will only deal with components of fields, not full 'F' or 'E'
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xx = mkvc(xx) # unwrap it in case it is a matrix
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nn = self.nF if xType == 'F' else self.nE
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nn = self.nFv if xType == 'F' else self.nEv
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nn = np.r_[0, nn]
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nx = [0, 0, 0]
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@@ -331,7 +331,7 @@ class BaseMesh(object):
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return locals()
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nEz = property(**nEz())
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def nE():
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def nEv():
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doc = """
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Total number of edges in each direction
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@@ -346,6 +346,18 @@ class BaseMesh(object):
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"""
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fget = lambda self: np.array([np.prod(x) for x in [self.nEx, self.nEy, self.nEz] if not x is None])
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return locals()
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nEv = property(**nEv())
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def nE():
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doc = """
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Total number of edges.
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:rtype: int
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:return: sum([prod(nEx), prod(nEy), prod(nEz)])
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"""
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fget = lambda self: np.sum(self.nEv)
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return locals()
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nE = property(**nE())
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def nFx():
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@@ -391,7 +403,7 @@ class BaseMesh(object):
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return locals()
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nFz = property(**nFz())
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def nF():
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def nFv():
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doc = """
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Total number of faces in each direction
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@@ -406,6 +418,19 @@ class BaseMesh(object):
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"""
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fget = lambda self: np.array([np.prod(x) for x in [self.nFx, self.nFy, self.nFz] if not x is None])
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return locals()
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nFv = property(**nFv())
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def nF():
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doc = """
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Total number of faces.
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:rtype: int
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:return: sum([prod(nFx), prod(nFy), prod(nFz)])
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"""
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fget = lambda self: np.sum(self.nFv)
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return locals()
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nF = property(**nF())
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def normals():
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@@ -418,13 +443,13 @@ class BaseMesh(object):
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def fget(self):
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if self.dim == 2:
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nX = np.c_[np.ones(self.nF[0]), np.zeros(self.nF[0])]
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nY = np.c_[np.zeros(self.nF[1]), np.ones(self.nF[1])]
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nX = np.c_[np.ones(self.nFv[0]), np.zeros(self.nFv[0])]
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nY = np.c_[np.zeros(self.nFv[1]), np.ones(self.nFv[1])]
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return np.r_[nX, nY]
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elif self.dim == 3:
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nX = np.c_[np.ones(self.nF[0]), np.zeros(self.nF[0]), np.zeros(self.nF[0])]
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nY = np.c_[np.zeros(self.nF[1]), np.ones(self.nF[1]), np.zeros(self.nF[1])]
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nZ = np.c_[np.zeros(self.nF[2]), np.zeros(self.nF[2]), np.ones(self.nF[2])]
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nX = np.c_[np.ones(self.nFv[0]), np.zeros(self.nFv[0]), np.zeros(self.nFv[0])]
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nY = np.c_[np.zeros(self.nFv[1]), np.ones(self.nFv[1]), np.zeros(self.nFv[1])]
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nZ = np.c_[np.zeros(self.nFv[2]), np.zeros(self.nFv[2]), np.ones(self.nFv[2])]
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return np.r_[nX, nY, nZ]
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return locals()
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normals = property(**normals())
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@@ -439,13 +464,13 @@ class BaseMesh(object):
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def fget(self):
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if self.dim == 2:
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tX = np.c_[np.ones(self.nE[0]), np.zeros(self.nE[0])]
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tY = np.c_[np.zeros(self.nE[1]), np.ones(self.nE[1])]
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tX = np.c_[np.ones(self.nEv[0]), np.zeros(self.nEv[0])]
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tY = np.c_[np.zeros(self.nEv[1]), np.ones(self.nEv[1])]
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return np.r_[tX, tY]
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elif self.dim == 3:
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tX = np.c_[np.ones(self.nE[0]), np.zeros(self.nE[0]), np.zeros(self.nE[0])]
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tY = np.c_[np.zeros(self.nE[1]), np.ones(self.nE[1]), np.zeros(self.nE[1])]
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tZ = np.c_[np.zeros(self.nE[2]), np.zeros(self.nE[2]), np.ones(self.nE[2])]
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tX = np.c_[np.ones(self.nEv[0]), np.zeros(self.nEv[0]), np.zeros(self.nEv[0])]
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tY = np.c_[np.zeros(self.nEv[1]), np.ones(self.nEv[1]), np.zeros(self.nEv[1])]
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tZ = np.c_[np.zeros(self.nEv[2]), np.zeros(self.nEv[2]), np.ones(self.nEv[2])]
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return np.r_[tX, tY, tZ]
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return locals()
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tangents = property(**tangents())
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@@ -110,6 +110,12 @@ class Cyl1DMesh(object):
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return locals()
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nFz = property(**nFz())
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def nFv():
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doc = "Total number of faces in each direction"
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fget = lambda self: np.array([self.nFr, self.nFz])
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return locals()
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nFv = property(**nFv())
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def nF():
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doc = "Total number of faces"
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fget = lambda self: self.nFr + self.nFz
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@@ -1,11 +1,6 @@
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import numpy as np
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from scipy import sparse as sp
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from SimPEG.utils import mkvc, sdiag, speye, kron3, spzeros
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def ddx(n):
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"""Define 1D derivatives, inner, this means we go from n+1 to n+1"""
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return sp.spdiags((np.ones((n+1, 1))*[-1, 1]).T, [0, 1], n, n+1, format="csr")
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from SimPEG.utils import mkvc, sdiag, speye, kron3, spzeros, ddx, av
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def checkBC(bc):
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@@ -39,11 +34,6 @@ def ddxCellGrad(n, bc):
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return D
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def av(n):
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"""Define 1D averaging operator from cell-centres to nodes."""
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return sp.spdiags((0.5*np.ones((n+1, 1))*[1, 1]).T, [0, 1], n, n+1, format="csr")
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class DiffOperators(object):
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"""
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Class creates the differential operators that you need!
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@@ -107,6 +97,38 @@ class DiffOperators(object):
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_nodalGrad = None
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nodalGrad = property(**nodalGrad())
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def nodalLaplacian():
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doc = "Construct laplacian operator (nodes to edges)."
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def fget(self):
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if(self._nodalLaplacian is None):
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print 'Warning: Laplacian has not been tested rigorously.'
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# The number of cell centers in each direction
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n = self.n
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# Compute divergence operator on faces
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if(self.dim == 1):
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D1 = sdiag(1./self.hx) * ddx(mesh.nCx)
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L = - D1.T*D1
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elif(self.dim == 2):
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D1 = sdiag(1./self.hx) * ddx(n[0])
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D2 = sdiag(1./self.hy) * ddx(n[1])
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L1 = sp.kron(speye(n[1]+1), - D1.T * D1)
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L2 = sp.kron(- D2.T * D2, speye(n[0]+1))
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L = L1 + L2
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elif(self.dim == 3):
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D1 = sdiag(1./self.hx) * ddx(n[0])
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D2 = sdiag(1./self.hy) * ddx(n[1])
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D3 = sdiag(1./self.hz) * ddx(n[2])
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L1 = kron3(speye(n[2]+1), speye(n[1]+1), - D1.T * D1)
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L2 = kron3(speye(n[2]+1), - D2.T * D2, speye(n[0]+1))
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L3 = kron3(- D3.T * D3, speye(n[1]+1), speye(n[0]+1))
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L = L1 + L2 + L3
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self._nodalLaplacian = L
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return self._nodalLaplacian
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return locals()
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_nodalLaplacian = None
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nodalLaplacian = property(**nodalLaplacian())
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def setCellGradBC(self, BC):
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"""
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Function that sets the boundary conditions for cell-centred derivative operators.
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@@ -182,7 +204,6 @@ class DiffOperators(object):
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return locals()
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cellGradx = property(**cellGradx())
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def cellGrady():
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doc = "Cell centered Gradient in the x dimension. Has neumann boundary conditions."
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def fget(self):
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@@ -203,8 +224,6 @@ class DiffOperators(object):
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return locals()
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cellGrady = property(**cellGrady())
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def cellGradz():
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doc = "Cell centered Gradient in the x dimension. Has neumann boundary conditions."
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def fget(self):
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@@ -222,7 +241,6 @@ class DiffOperators(object):
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return locals()
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cellGradz = property(**cellGradz())
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def edgeCurl():
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doc = "Construct the 3D curl operator."
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@@ -265,6 +283,8 @@ class DiffOperators(object):
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_edgeCurl = None
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edgeCurl = property(**edgeCurl())
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# --------------- Averaging ---------------------
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def aveF2CC():
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doc = "Construct the averaging operator on cell faces to cell centers."
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@@ -274,10 +294,10 @@ class DiffOperators(object):
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if(self.dim == 1):
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self._aveF2CC = av(n[0])
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elif(self.dim == 2):
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self._aveF2CC = sp.hstack((sp.kron(speye(n[1]), av(n[0])),
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self._aveF2CC = (0.5)*sp.hstack((sp.kron(speye(n[1]), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveF2CC = sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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self._aveF2CC = (1./3.)*sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), speye(n[0]))), format="csr")
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return self._aveF2CC
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@@ -295,10 +315,10 @@ class DiffOperators(object):
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if(self.dim == 1):
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raise Exception('Edge Averaging does not make sense in 1D: Use Identity?')
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elif(self.dim == 2):
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self._aveE2CC = sp.hstack((sp.kron(av(n[1]), speye(n[0])),
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self._aveE2CC = 0.5*sp.hstack((sp.kron(av(n[1]), speye(n[0])),
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sp.kron(speye(n[1]), av(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveE2CC = sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
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self._aveE2CC = (1./3)*sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), av(n[0]))), format="csr")
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return self._aveE2CC
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@@ -316,37 +336,57 @@ class DiffOperators(object):
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if(self.dim == 1):
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self._aveN2CC = av(n[0])
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elif(self.dim == 2):
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self._aveN2CC = sp.hstack((sp.kron(av(n[1]), av(n[0])),
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sp.kron(av(n[1]), av(n[0]))), format="csr")
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self._aveN2CC = sp.kron(av(n[1]), av(n[0])).tocsr()
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elif(self.dim == 3):
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self._aveN2CC = sp.hstack((kron3(av(n[2]), av(n[1]), av(n[0])),
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kron3(av(n[2]), av(n[1]), av(n[0])),
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kron3(av(n[2]), av(n[1]), av(n[0]))), format="csr")
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self._aveN2CC = kron3(av(n[2]), av(n[1]), av(n[0])).tocsr()
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return self._aveN2CC
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return locals()
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_aveN2CC = None
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aveN2CC = property(**aveN2CC())
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def aveN2CCv():
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doc = "Construct the averaging operator on cell nodes to cell centers, keeping each dimension separate."
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def aveN2E():
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doc = "Construct the averaging operator on cell nodes to cell edges, keeping each dimension separate."
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def fget(self):
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if(self._aveN2CCv is None):
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if(self._aveN2E is None):
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# The number of cell centers in each direction
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n = self.n
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if(self.dim == 1):
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self._aveN2CCv = av(n[0])
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self._aveN2E = av(n[0])
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elif(self.dim == 2):
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self._aveN2CCv = sp.block_diag((sp.kron(av(n[1]), av(n[0])),
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sp.kron(av(n[1]), av(n[0]))), format="csr")
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self._aveN2E = sp.vstack((sp.kron(speye(n[1]+1), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]+1))), format="csr")
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elif(self.dim == 3):
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self._aveN2CCv = sp.block_diag((kron3(av(n[2]), av(n[1]), av(n[0])),
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kron3(av(n[2]), av(n[1]), av(n[0])),
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kron3(av(n[2]), av(n[1]), av(n[0]))), format="csr")
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return self._aveN2CCv
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self._aveN2E = sp.vstack((kron3(speye(n[2]+1), speye(n[1]+1), av(n[0])),
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kron3(speye(n[2]+1), av(n[1]), speye(n[0]+1)),
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kron3(av(n[2]), speye(n[1]+1), speye(n[0]+1))), format="csr")
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return self._aveN2E
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return locals()
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_aveN2CCv = None
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aveN2CCv = property(**aveN2CCv())
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_aveN2E = None
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aveN2E = property(**aveN2E())
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def aveN2F():
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doc = "Construct the averaging operator on cell nodes to cell faces, keeping each dimension separate."
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def fget(self):
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if(self._aveN2F is None):
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# The number of cell centers in each direction
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n = self.n
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if(self.dim == 1):
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self._aveN2F = av(n[0])
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elif(self.dim == 2):
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self._aveN2F = sp.vstack((sp.kron(av(n[1]), speye(n[0]+1)),
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sp.kron(speye(n[1]+1), av(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveN2F = sp.vstack((kron3(av(n[2]), av(n[1]), speye(n[0]+1)),
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kron3(av(n[2]), speye(n[1]+1), av(n[0])),
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kron3(speye(n[2]+1), av(n[1]), av(n[0]))), format="csr")
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return self._aveN2F
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return locals()
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_aveN2F = None
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aveN2F = property(**aveN2F())
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# --------------- Methods ---------------------
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def getMass(self, materialProp=None, loc='e'):
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""" Produces mass matricies.
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@@ -174,8 +174,8 @@ def getFaceInnerProduct(mesh, mu=None, returnP=False):
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def Pxxx(pos):
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ind1 = sub2ind(mesh.nFx, np.c_[ii + pos[0][0], jj + pos[0][1], kk + pos[0][2]])
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ind2 = sub2ind(mesh.nFy, np.c_[ii + pos[1][0], jj + pos[1][1], kk + pos[1][2]]) + mesh.nF[0]
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ind3 = sub2ind(mesh.nFz, np.c_[ii + pos[2][0], jj + pos[2][1], kk + pos[2][2]]) + mesh.nF[0] + mesh.nF[1]
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ind2 = sub2ind(mesh.nFy, np.c_[ii + pos[1][0], jj + pos[1][1], kk + pos[1][2]]) + mesh.nFv[0]
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ind3 = sub2ind(mesh.nFz, np.c_[ii + pos[2][0], jj + pos[2][1], kk + pos[2][2]]) + mesh.nFv[0] + mesh.nFv[1]
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IND = np.r_[ind1, ind2, ind3].flatten()
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@@ -286,7 +286,7 @@ def getFaceInnerProduct2D(mesh, mu=None, returnP=False):
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def Pxx(pos):
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ind1 = sub2ind(mesh.nFx, np.c_[ii + pos[0][0], jj + pos[0][1]])
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ind2 = sub2ind(mesh.nFy, np.c_[ii + pos[1][0], jj + pos[1][1]]) + mesh.nF[0]
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ind2 = sub2ind(mesh.nFy, np.c_[ii + pos[1][0], jj + pos[1][1]]) + mesh.nFv[0]
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IND = np.r_[ind1, ind2].flatten()
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@@ -387,8 +387,8 @@ def getEdgeInnerProduct(mesh, sigma=None, returnP=False):
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def Pxxx(pos):
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ind1 = sub2ind(mesh.nEx, np.c_[ii + pos[0][0], jj + pos[0][1], kk + pos[0][2]])
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ind2 = sub2ind(mesh.nEy, np.c_[ii + pos[1][0], jj + pos[1][1], kk + pos[1][2]]) + mesh.nE[0]
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ind3 = sub2ind(mesh.nEz, np.c_[ii + pos[2][0], jj + pos[2][1], kk + pos[2][2]]) + mesh.nE[0] + mesh.nE[1]
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ind2 = sub2ind(mesh.nEy, np.c_[ii + pos[1][0], jj + pos[1][1], kk + pos[1][2]]) + mesh.nEv[0]
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ind3 = sub2ind(mesh.nEz, np.c_[ii + pos[2][0], jj + pos[2][1], kk + pos[2][2]]) + mesh.nEv[0] + mesh.nEv[1]
|
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|
||||
IND = np.r_[ind1, ind2, ind3].flatten()
|
||||
|
||||
@@ -499,7 +499,7 @@ def getEdgeInnerProduct2D(mesh, sigma=None, returnP=False):
|
||||
|
||||
def Pxx(pos):
|
||||
ind1 = sub2ind(mesh.nEx, np.c_[ii + pos[0][0], jj + pos[0][1]])
|
||||
ind2 = sub2ind(mesh.nEy, np.c_[ii + pos[1][0], jj + pos[1][1]]) + mesh.nE[0]
|
||||
ind2 = sub2ind(mesh.nEy, np.c_[ii + pos[1][0], jj + pos[1][1]]) + mesh.nEv[0]
|
||||
|
||||
IND = np.r_[ind1, ind2].flatten()
|
||||
|
||||
|
||||
@@ -45,8 +45,7 @@ class LogicallyOrthogonalMesh(BaseMesh, DiffOperators, InnerProducts, LomView):
|
||||
|
||||
def fget(self):
|
||||
if self._gridCC is None:
|
||||
ccV = (self.aveN2CCv*mkvc(self.gridN))
|
||||
self._gridCC = ccV.reshape((-1, self.dim), order='F')
|
||||
self._gridCC = np.concatenate([self.aveN2CC*self.gridN[:,i] for i in range(self.dim)]).reshape((-1,self.dim), order='F')
|
||||
return self._gridCC
|
||||
return locals()
|
||||
_gridCC = None # Store grid by default
|
||||
|
||||
@@ -396,7 +396,7 @@ class TensorMesh(BaseMesh, TensorView, DiffOperators, InnerProducts):
|
||||
|
||||
ind = 0 if 'x' in locType else 1 if 'y' in locType else 2 if 'z' in locType else -1
|
||||
if locType in ['Fx','Fy','Fz','Ex','Ey','Ez'] and self.dim >= ind:
|
||||
nF_nE = self.nF if 'F' in locType else self.nE
|
||||
nF_nE = self.nFv if 'F' in locType else self.nEv
|
||||
components = [spzeros(loc.shape[0], n) for n in nF_nE]
|
||||
components[ind] = interpmat(loc, *self.getTensor(locType))
|
||||
Q = sp.hstack(components)
|
||||
|
||||
+43
-36
@@ -4,47 +4,54 @@ import unittest
|
||||
import HTMLTestRunner
|
||||
|
||||
# This code will run all tests in directory named test_*.py
|
||||
def main(html=False):
|
||||
TITLE = 'Test Results'
|
||||
test_file_strings = glob.glob('test_*.py')
|
||||
module_strings = [str[0:len(str)-3] for str in test_file_strings]
|
||||
suites = [unittest.defaultTestLoader.loadTestsFromName(str) for str
|
||||
in module_strings]
|
||||
testSuite = unittest.TestSuite(suites)
|
||||
|
||||
TITLE = 'Test Results'
|
||||
test_file_strings = glob.glob('test_*.py')
|
||||
module_strings = [str[0:len(str)-3] for str in test_file_strings]
|
||||
suites = [unittest.defaultTestLoader.loadTestsFromName(str) for str
|
||||
in module_strings]
|
||||
testSuite = unittest.TestSuite(suites)
|
||||
unittest.TextTestRunner(verbosity=2).run(testSuite)
|
||||
if not html:
|
||||
unittest.TextTestRunner(verbosity=2).run(testSuite)
|
||||
return
|
||||
|
||||
|
||||
outfile = open("report.html", "w")
|
||||
runner = HTMLTestRunner.HTMLTestRunner(
|
||||
stream=outfile,
|
||||
title=TITLE,
|
||||
description='SimPEG Test Report was automatically generated.'
|
||||
)
|
||||
outfile = open("report.html", "w")
|
||||
runner = HTMLTestRunner.HTMLTestRunner(
|
||||
stream=outfile,
|
||||
title=TITLE,
|
||||
description='SimPEG Test Report was automatically generated.',
|
||||
verbosity=2
|
||||
)
|
||||
|
||||
runner.run(testSuite)
|
||||
outfile.close()
|
||||
runner.run(testSuite)
|
||||
outfile.close()
|
||||
|
||||
reader = open("report.html", "r")
|
||||
writer = open("../../docs/api_TestResults.rst", "w")
|
||||
reader = open("report.html", "r")
|
||||
writer = open("../../docs/api_TestResults.rst", "w")
|
||||
|
||||
writer.write('.. _api_TestResults:\n\nTest Results\n============\n\n.. raw:: html\n\n')
|
||||
writer.write('.. _api_TestResults:\n\nTest Results\n============\n\n.. raw:: html\n\n')
|
||||
|
||||
go = False
|
||||
for line in reader:
|
||||
skip = False
|
||||
if line == '<style type="text/css" media="screen">\n':
|
||||
go = True
|
||||
elif line == "<div id='ending'> </div>\n":
|
||||
go = False
|
||||
elif line == '</head>\n':
|
||||
skip = True
|
||||
elif line == '<h1>'+TITLE+'</h1>\n':
|
||||
skip = True
|
||||
elif line == '<body>\n':
|
||||
skip = True
|
||||
if go and not skip:
|
||||
writer.write(' '+line)
|
||||
go = False
|
||||
for line in reader:
|
||||
skip = False
|
||||
if line == '<style type="text/css" media="screen">\n':
|
||||
go = True
|
||||
elif line == "<div id='ending'> </div>\n":
|
||||
go = False
|
||||
elif line == '</head>\n':
|
||||
skip = True
|
||||
elif line == '<h1>'+TITLE+'</h1>\n':
|
||||
skip = True
|
||||
elif line == '<body>\n':
|
||||
skip = True
|
||||
if go and not skip:
|
||||
writer.write(' '+line)
|
||||
|
||||
writer.close()
|
||||
reader.close()
|
||||
os.remove("report.html")
|
||||
writer.close()
|
||||
reader.close()
|
||||
os.remove("report.html")
|
||||
|
||||
if __name__ == '__main__':
|
||||
main(True)
|
||||
|
||||
@@ -44,50 +44,54 @@ class BasicLOMTests(unittest.TestCase):
|
||||
|
||||
def test_tangents(self):
|
||||
T = self.LOM2.tangents
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ex', 'V')[0] == np.ones(self.LOM2.nE[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ex', 'V')[1] == np.zeros(self.LOM2.nE[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ey', 'V')[0] == np.zeros(self.LOM2.nE[1])))
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ey', 'V')[1] == np.ones(self.LOM2.nE[1])))
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ex', 'V')[0] == np.ones(self.LOM2.nEv[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ex', 'V')[1] == np.zeros(self.LOM2.nEv[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ey', 'V')[0] == np.zeros(self.LOM2.nEv[1])))
|
||||
self.assertTrue(np.all(self.LOM2.r(T, 'E', 'Ey', 'V')[1] == np.ones(self.LOM2.nEv[1])))
|
||||
|
||||
T = self.LOM3.tangents
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ex', 'V')[0] == np.ones(self.LOM3.nE[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ex', 'V')[1] == np.zeros(self.LOM3.nE[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ex', 'V')[2] == np.zeros(self.LOM3.nE[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ex', 'V')[0] == np.ones(self.LOM3.nEv[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ex', 'V')[1] == np.zeros(self.LOM3.nEv[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ex', 'V')[2] == np.zeros(self.LOM3.nEv[0])))
|
||||
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ey', 'V')[0] == np.zeros(self.LOM3.nE[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ey', 'V')[1] == np.ones(self.LOM3.nE[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ey', 'V')[2] == np.zeros(self.LOM3.nE[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ey', 'V')[0] == np.zeros(self.LOM3.nEv[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ey', 'V')[1] == np.ones(self.LOM3.nEv[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ey', 'V')[2] == np.zeros(self.LOM3.nEv[1])))
|
||||
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ez', 'V')[0] == np.zeros(self.LOM3.nE[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ez', 'V')[1] == np.zeros(self.LOM3.nE[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ez', 'V')[2] == np.ones(self.LOM3.nE[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ez', 'V')[0] == np.zeros(self.LOM3.nEv[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ez', 'V')[1] == np.zeros(self.LOM3.nEv[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(T, 'E', 'Ez', 'V')[2] == np.ones(self.LOM3.nEv[2])))
|
||||
|
||||
def test_normals(self):
|
||||
N = self.LOM2.normals
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fx', 'V')[0] == np.ones(self.LOM2.nF[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fx', 'V')[1] == np.zeros(self.LOM2.nF[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fy', 'V')[0] == np.zeros(self.LOM2.nF[1])))
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fy', 'V')[1] == np.ones(self.LOM2.nF[1])))
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fx', 'V')[0] == np.ones(self.LOM2.nFv[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fx', 'V')[1] == np.zeros(self.LOM2.nFv[0])))
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fy', 'V')[0] == np.zeros(self.LOM2.nFv[1])))
|
||||
self.assertTrue(np.all(self.LOM2.r(N, 'F', 'Fy', 'V')[1] == np.ones(self.LOM2.nFv[1])))
|
||||
|
||||
N = self.LOM3.normals
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fx', 'V')[0] == np.ones(self.LOM3.nF[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fx', 'V')[1] == np.zeros(self.LOM3.nF[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fx', 'V')[2] == np.zeros(self.LOM3.nF[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fx', 'V')[0] == np.ones(self.LOM3.nFv[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fx', 'V')[1] == np.zeros(self.LOM3.nFv[0])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fx', 'V')[2] == np.zeros(self.LOM3.nFv[0])))
|
||||
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fy', 'V')[0] == np.zeros(self.LOM3.nF[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fy', 'V')[1] == np.ones(self.LOM3.nF[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fy', 'V')[2] == np.zeros(self.LOM3.nF[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fy', 'V')[0] == np.zeros(self.LOM3.nFv[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fy', 'V')[1] == np.ones(self.LOM3.nFv[1])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fy', 'V')[2] == np.zeros(self.LOM3.nFv[1])))
|
||||
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fz', 'V')[0] == np.zeros(self.LOM3.nF[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fz', 'V')[1] == np.zeros(self.LOM3.nF[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fz', 'V')[2] == np.ones(self.LOM3.nF[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fz', 'V')[0] == np.zeros(self.LOM3.nFv[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fz', 'V')[1] == np.zeros(self.LOM3.nFv[2])))
|
||||
self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fz', 'V')[2] == np.ones(self.LOM3.nFv[2])))
|
||||
|
||||
def test_grid(self):
|
||||
self.assertTrue(np.all(self.LOM2.gridCC == self.TM2.gridCC))
|
||||
self.assertTrue(np.all(self.LOM2.gridN == self.TM2.gridN))
|
||||
self.assertTrue(np.all(self.LOM2.gridFx == self.TM2.gridFx))
|
||||
self.assertTrue(np.all(self.LOM2.gridFy == self.TM2.gridFy))
|
||||
self.assertTrue(np.all(self.LOM2.gridEx == self.TM2.gridEx))
|
||||
self.assertTrue(np.all(self.LOM2.gridEy == self.TM2.gridEy))
|
||||
|
||||
self.assertTrue(np.all(self.LOM3.gridCC == self.TM3.gridCC))
|
||||
self.assertTrue(np.all(self.LOM3.gridN == self.TM3.gridN))
|
||||
self.assertTrue(np.all(self.LOM3.gridFx == self.TM3.gridFx))
|
||||
self.assertTrue(np.all(self.LOM3.gridFy == self.TM3.gridFy))
|
||||
self.assertTrue(np.all(self.LOM3.gridFz == self.TM3.gridFz))
|
||||
|
||||
@@ -38,15 +38,17 @@ class TestBaseMesh(unittest.TestCase):
|
||||
|
||||
def test_mesh_numbers(self):
|
||||
c = self.mesh.nC == 36
|
||||
f = np.all(self.mesh.nF == [42, 54, 48])
|
||||
e = np.all(self.mesh.nE == [72, 56, 63])
|
||||
fv = np.all(self.mesh.nFv == [42, 54, 48])
|
||||
ev = np.all(self.mesh.nEv == [72, 56, 63])
|
||||
f = np.all(self.mesh.nF == np.sum([42, 54, 48]))
|
||||
e = np.all(self.mesh.nE == np.sum([72, 56, 63]))
|
||||
|
||||
self.assertTrue(np.all([c, f, e]))
|
||||
self.assertTrue(np.all([c, fv, ev, f, e]))
|
||||
|
||||
def test_mesh_r_E_V(self):
|
||||
ex = np.ones(self.mesh.nE[0])
|
||||
ey = np.ones(self.mesh.nE[1])*2
|
||||
ez = np.ones(self.mesh.nE[2])*3
|
||||
ex = np.ones(self.mesh.nEv[0])
|
||||
ey = np.ones(self.mesh.nEv[1])*2
|
||||
ez = np.ones(self.mesh.nEv[2])*3
|
||||
e = np.r_[ex, ey, ez]
|
||||
tex = self.mesh.r(e, 'E', 'Ex', 'V')
|
||||
tey = self.mesh.r(e, 'E', 'Ey', 'V')
|
||||
@@ -60,9 +62,9 @@ class TestBaseMesh(unittest.TestCase):
|
||||
self.assertTrue(np.all(tez == ez))
|
||||
|
||||
def test_mesh_r_F_V(self):
|
||||
fx = np.ones(self.mesh.nF[0])
|
||||
fy = np.ones(self.mesh.nF[1])*2
|
||||
fz = np.ones(self.mesh.nF[2])*3
|
||||
fx = np.ones(self.mesh.nFv[0])
|
||||
fy = np.ones(self.mesh.nFv[1])*2
|
||||
fz = np.ones(self.mesh.nFv[2])*3
|
||||
f = np.r_[fx, fy, fz]
|
||||
tfx = self.mesh.r(f, 'F', 'Fx', 'V')
|
||||
tfy = self.mesh.r(f, 'F', 'Fy', 'V')
|
||||
@@ -146,14 +148,16 @@ class TestMeshNumbers2D(unittest.TestCase):
|
||||
|
||||
def test_mesh_numbers(self):
|
||||
c = self.mesh.nC == 12
|
||||
f = np.all(self.mesh.nF == [14, 18])
|
||||
e = np.all(self.mesh.nE == [18, 14])
|
||||
fv = np.all(self.mesh.nFv == [14, 18])
|
||||
ev = np.all(self.mesh.nEv == [18, 14])
|
||||
f = np.all(self.mesh.nF == np.sum([14, 18]))
|
||||
e = np.all(self.mesh.nE == np.sum([18, 14]))
|
||||
|
||||
self.assertTrue(np.all([c, f, e]))
|
||||
self.assertTrue(np.all([c, fv, ev, f, e]))
|
||||
|
||||
def test_mesh_r_E_V(self):
|
||||
ex = np.ones(self.mesh.nE[0])
|
||||
ey = np.ones(self.mesh.nE[1])*2
|
||||
ex = np.ones(self.mesh.nEv[0])
|
||||
ey = np.ones(self.mesh.nEv[1])*2
|
||||
e = np.r_[ex, ey]
|
||||
tex = self.mesh.r(e, 'E', 'Ex', 'V')
|
||||
tey = self.mesh.r(e, 'E', 'Ey', 'V')
|
||||
@@ -165,8 +169,8 @@ class TestMeshNumbers2D(unittest.TestCase):
|
||||
self.assertRaises(AssertionError, self.mesh.r, e, 'E', 'Ez', 'V')
|
||||
|
||||
def test_mesh_r_F_V(self):
|
||||
fx = np.ones(self.mesh.nF[0])
|
||||
fy = np.ones(self.mesh.nF[1])*2
|
||||
fx = np.ones(self.mesh.nFv[0])
|
||||
fy = np.ones(self.mesh.nFv[1])*2
|
||||
f = np.r_[fx, fy]
|
||||
tfx = self.mesh.r(f, 'F', 'Fx', 'V')
|
||||
tfy = self.mesh.r(f, 'F', 'Fy', 'V')
|
||||
|
||||
@@ -155,6 +155,109 @@ class TestNodalGrad2D(OrderTest):
|
||||
def test_order(self):
|
||||
self.orderTest()
|
||||
|
||||
class TestAveraging2D(OrderTest):
|
||||
name = "Averaging 2D"
|
||||
meshTypes = MESHTYPES
|
||||
meshDimension = 2
|
||||
|
||||
def getError(self):
|
||||
num = self.getAve(self.M) * self.getHere(self.M)
|
||||
err = np.linalg.norm((self.getThere(self.M)-num), np.inf)
|
||||
return err
|
||||
|
||||
def test_orderN2CC(self):
|
||||
self.name = "Averaging 2D: N2CC"
|
||||
fun = lambda x, y: (np.cos(x)+np.sin(y))
|
||||
self.getHere = lambda M: call2(fun, M.gridN)
|
||||
self.getThere = lambda M: call2(fun, M.gridCC)
|
||||
self.getAve = lambda M: M.aveN2CC
|
||||
self.orderTest()
|
||||
|
||||
def test_orderN2F(self):
|
||||
self.name = "Averaging 2D: N2F"
|
||||
fun = lambda x, y: (np.cos(x)+np.sin(y))
|
||||
self.getHere = lambda M: call2(fun, M.gridN)
|
||||
self.getThere = lambda M: np.r_[call2(fun, M.gridFx), call2(fun, M.gridFy)]
|
||||
self.getAve = lambda M: M.aveN2F
|
||||
self.orderTest()
|
||||
|
||||
def test_orderN2E(self):
|
||||
self.name = "Averaging 2D: N2E"
|
||||
fun = lambda x, y: (np.cos(x)+np.sin(y))
|
||||
self.getHere = lambda M: call2(fun, M.gridN)
|
||||
self.getThere = lambda M: np.r_[call2(fun, M.gridEx), call2(fun, M.gridEy)]
|
||||
self.getAve = lambda M: M.aveN2E
|
||||
self.orderTest()
|
||||
|
||||
def test_orderF2CC(self):
|
||||
self.name = "Averaging 2D: F2CC"
|
||||
fun = lambda x, y: (np.cos(x)+np.sin(y))
|
||||
self.getHere = lambda M: np.r_[call2(fun, M.gridFx), call2(fun, M.gridFy)]
|
||||
self.getThere = lambda M: call2(fun, M.gridCC)
|
||||
self.getAve = lambda M: M.aveF2CC
|
||||
self.orderTest()
|
||||
|
||||
|
||||
def test_orderE2CC(self):
|
||||
self.name = "Averaging 2D: E2CC"
|
||||
fun = lambda x, y: (np.cos(x)+np.sin(y))
|
||||
self.getHere = lambda M: np.r_[call2(fun, M.gridEx), call2(fun, M.gridEy)]
|
||||
self.getThere = lambda M: call2(fun, M.gridCC)
|
||||
self.getAve = lambda M: M.aveE2CC
|
||||
self.orderTest()
|
||||
|
||||
|
||||
class TestAveraging3D(OrderTest):
|
||||
name = "Averaging 3D"
|
||||
meshTypes = MESHTYPES
|
||||
meshDimension = 3
|
||||
|
||||
def getError(self):
|
||||
num = self.getAve(self.M) * self.getHere(self.M)
|
||||
err = np.linalg.norm((self.getThere(self.M)-num), np.inf)
|
||||
return err
|
||||
|
||||
def test_orderN2CC(self):
|
||||
self.name = "Averaging 3D: N2CC"
|
||||
fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
|
||||
self.getHere = lambda M: call3(fun, M.gridN)
|
||||
self.getThere = lambda M: call3(fun, M.gridCC)
|
||||
self.getAve = lambda M: M.aveN2CC
|
||||
self.orderTest()
|
||||
|
||||
def test_orderN2F(self):
|
||||
self.name = "Averaging 3D: N2F"
|
||||
fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
|
||||
self.getHere = lambda M: call3(fun, M.gridN)
|
||||
self.getThere = lambda M: np.r_[call3(fun, M.gridFx), call3(fun, M.gridFy), call3(fun, M.gridFz)]
|
||||
self.getAve = lambda M: M.aveN2F
|
||||
self.orderTest()
|
||||
|
||||
def test_orderN2E(self):
|
||||
self.name = "Averaging 3D: N2E"
|
||||
fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
|
||||
self.getHere = lambda M: call3(fun, M.gridN)
|
||||
self.getThere = lambda M: np.r_[call3(fun, M.gridEx), call3(fun, M.gridEy), call3(fun, M.gridEz)]
|
||||
self.getAve = lambda M: M.aveN2E
|
||||
self.orderTest()
|
||||
|
||||
def test_orderF2CC(self):
|
||||
self.name = "Averaging 3D: F2CC"
|
||||
fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
|
||||
self.getHere = lambda M: np.r_[call3(fun, M.gridFx), call3(fun, M.gridFy), call3(fun, M.gridFz)]
|
||||
self.getThere = lambda M: call3(fun, M.gridCC)
|
||||
self.getAve = lambda M: M.aveF2CC
|
||||
self.orderTest()
|
||||
|
||||
|
||||
def test_orderE2CC(self):
|
||||
self.name = "Averaging 3D: E2CC"
|
||||
fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
|
||||
self.getHere = lambda M: np.r_[call3(fun, M.gridEx), call3(fun, M.gridEy), call3(fun, M.gridEz)]
|
||||
self.getThere = lambda M: call3(fun, M.gridCC)
|
||||
self.getAve = lambda M: M.aveE2CC
|
||||
self.orderTest()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
||||
@@ -4,7 +4,7 @@ import lomutils
|
||||
import interputils
|
||||
import ModelBuilder
|
||||
from matutils import getSubArray, mkvc, ndgrid, ind2sub, sub2ind
|
||||
from sputils import spzeros, kron3, speye, sdiag
|
||||
from sputils import spzeros, kron3, speye, sdiag, ddx, av
|
||||
from lomutils import volTetra, faceInfo, inv2X2BlockDiagonal, inv3X3BlockDiagonal, indexCube, exampleLomGird
|
||||
from interputils import interpmat
|
||||
from ipythonUtils import easyAnimate as animate
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
from scipy import sparse as sp
|
||||
from matutils import mkvc
|
||||
import numpy as np
|
||||
|
||||
|
||||
def sdiag(h):
|
||||
@@ -20,3 +21,13 @@ def kron3(A, B, C):
|
||||
def spzeros(n1, n2):
|
||||
"""spzeros"""
|
||||
return sp.coo_matrix((n1, n2)).tocsr()
|
||||
|
||||
|
||||
def ddx(n):
|
||||
"""Define 1D derivatives, inner, this means we go from n+1 to n"""
|
||||
return sp.spdiags((np.ones((n+1, 1))*[-1, 1]).T, [0, 1], n, n+1, format="csr")
|
||||
|
||||
|
||||
def av(n):
|
||||
"""Define 1D averaging operator from cell-centres to nodes."""
|
||||
return sp.spdiags((0.5*np.ones((n+1, 1))*[1, 1]).T, [0, 1], n, n+1, format="csr")
|
||||
|
||||
+1012
-394
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user