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Initial implementation of interpolation matrix generation for TensorMesh (3D ONLY)
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+109
-1
@@ -1,9 +1,10 @@
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import numpy as np
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import scipy.sparse as sp
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from BaseMesh import BaseMesh
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from TensorView import TensorView
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from DiffOperators import DiffOperators
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from InnerProducts import InnerProducts
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from SimPEG.utils import ndgrid, mkvc
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from SimPEG.utils import ndgrid, mkvc, spzeros, interpmat
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class TensorMesh(BaseMesh, TensorView, DiffOperators, InnerProducts):
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@@ -312,6 +313,113 @@ class TensorMesh(BaseMesh, TensorView, DiffOperators, InnerProducts):
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_edge = None
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edge = property(**edge())
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# --------------- Methods ---------------------
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def isInside(self, pts):
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"""
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Determines if a set of points are inside a mesh.
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:param numpy.ndarray pts: Location of points to test
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:rtype numpy.ndarray
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:return inside, numpy array of booleans
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"""
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pts = np.atleast_2d(pts)
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inside = (pts[:,0] >= self.vectorNx.min()) & (pts[:,0] <= self.vectorNx.max())
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if self.dim > 1:
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inside = inside & ((pts[:,1] >= self.vectorNy.min()) & (pts[:,1] <= self.vectorNy.max()))
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if self.dim > 2:
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inside = inside & ((pts[:,2] >= self.vectorNz.min()) & (pts[:,2] <= self.vectorNz.max()))
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return inside
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def getInterpolationMat(self, loc, locType):
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""" Produces interpolation matrix
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:param numpy.ndarray loc: Location of points to interpolate to
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:param str locType: What to interpolate (see below)
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:rtype: scipy.sparse.csr.csr_matrix
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:return: M, the interpolation matrix
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locType can be::
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'ex' -> x-component of field defined on edges
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'ey' -> y-component of field defined on edges
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'ez' -> z-component of field defined on edges
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'fx' -> x-component of field defined on edges
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'fy' -> y-component of field defined on edges
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'fz' -> z-component of field defined on edges
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'n' -> scalar field defined on nodes
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'cc' -> scalar field defined on cell centres
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"""
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loc = np.atleast_2d(loc)
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assert np.all(self.isInside(loc)), "Points outside of mesh"
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if self.dim == 3:
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if locType == 'fx':
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Qx = interpmat(self.vectorNx,
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self.vectorCCy,
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self.vectorCCz,
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loc[:,0], loc[:,1], loc[:,2])
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Qy = spzeros(loc.shape[0], self.nF[1])
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Qz = spzeros(loc.shape[0], self.nF[2])
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Q = sp.hstack([Qx, Qy, Qz])
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elif locType == 'fy':
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Qx = spzeros(loc.shape[0], self.nF[0])
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Qy = interpmat(self.vectorCCx,
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self.vectorNy,
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self.vectorCCz,
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loc[:,0], loc[:,1], loc[:,2])
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Qz = spzeros(loc.shape[0], self.nF[2])
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Q = sp.hstack([Qx, Qy, Qz])
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elif locType == 'fz':
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Qx = spzeros(loc.shape[0], self.nF[0])
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Qy = spzeros(loc.shape[0], self.nF[1])
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Qz = interpmat(self.vectorCCx,
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self.vectorCCy,
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self.vectorNz,
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loc[:,0], loc[:,1], loc[:,2])
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Q = sp.hstack([Qx, Qy, Qz])
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elif locType == 'ex':
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Qx = interpmat(self.vectorCCx,
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self.vectorNy,
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self.vectorNz,
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loc[:,0], loc[:,1], loc[:,2])
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Qy = spzeros(loc.shape[0], self.nF[1])
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Qz = spzeros(loc.shape[0], self.nF[2])
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Q = sp.hstack([Qx, Qy, Qz])
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elif locType == 'ey':
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Qx = spzeros(loc.shape[0], self.nF[0])
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Qy = interpmat(self.vectorNx,
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self.vectorCCy,
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self.vectorNz,
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loc[:,0], loc[:,1], loc[:,2])
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Qz = spzeros(loc.shape[0], self.nF[2])
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Q = sp.hstack([Qx, Qy, Qz])
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elif locType == 'ez':
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Qx = spzeros(loc.shape[0], self.nF[0])
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Qy = spzeros(loc.shape[0], self.nF[1])
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Qz = interpmat(self.vectorNx,
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self.vectorNy,
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self.vectorCCz,
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loc[:,0], loc[:,1], loc[:,2])
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Q = sp.hstack([Qx, Qy, Qz])
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elif locType == 'n':
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Q = interpmat(self.vectorNx,
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self.vectorNy,
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self.vectorNz,
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loc[:,0], loc[:,1], loc[:,2])
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elif locType == 'cc':
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Q = interpmat(self.vectorCCx,
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self.vectorCCy,
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self.vectorCCz,
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loc[:,0], loc[:,1], loc[:,2])
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else:
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raise NotImplementedError('getInterpolationMat: locType=='+locType)
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else:
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raise NotImplementedError('getInterpolationMat: dim=='+str(m.dim))
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return Q
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if __name__ == '__main__':
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print('Welcome to tensor mesh!')
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