mirror of
https://github.com/wassname/simpeg.git
synced 2026-06-28 13:54:53 +08:00
Rowan Cockett
338 lines
14 KiB
Python
338 lines
14 KiB
Python
import numpy as np
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from BaseMesh import BaseMesh
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from DiffOperators import DiffOperators
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from InnerProducts import InnerProducts
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from LomView import LomView
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from utils import mkvc, ndgrid, volTetra, indexCube, faceInfo
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# Some helper functions.
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length2D = lambda x: (x[:, 0]**2 + x[:, 1]**2)**0.5
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length3D = lambda x: (x[:, 0]**2 + x[:, 1]**2 + x[:, 2]**2)**0.5
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normalize2D = lambda x: x/np.kron(np.ones((1, 2)), mkvc(length2D(x), 2))
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normalize3D = lambda x: x/np.kron(np.ones((1, 3)), mkvc(length3D(x), 2))
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class LogicallyOrthogonalMesh(BaseMesh, DiffOperators, InnerProducts, LomView):
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"""
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LogicallyOrthogonalMesh is a mesh class that deals with logically orthogonal meshes.
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"""
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_meshType = 'LOM'
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def __init__(self, nodes):
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assert type(nodes) == list, "'nodes' variable must be a list of np.ndarray"
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for i, nodes_i in enumerate(nodes):
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assert type(nodes_i) == np.ndarray, ("nodes[%i] is not a numpy array." % i)
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assert nodes_i.shape == nodes[0].shape, ("nodes[%i] is not the same shape as nodes[0]" % i)
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assert len(nodes[0].shape) == len(nodes), "Dimension mismatch"
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assert len(nodes[0].shape) > 1, "Not worth using LOM for a 1D mesh."
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super(LogicallyOrthogonalMesh, self).__init__(np.array(nodes[0].shape)-1, None)
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# Save nodes to private variable _gridN as vectors
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self._gridN = np.ones((nodes[0].size, self.dim))
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for i, node_i in enumerate(nodes):
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self._gridN[:, i] = mkvc(node_i)
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def gridCC():
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doc = "Cell-centered grid."
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def fget(self):
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if self._gridCC is None:
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ccV = (self.nodalVectorAve*mkvc(self.gridN))
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self._gridCC = ccV.reshape((-1, self.dim), order='F')
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return self._gridCC
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return locals()
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_gridCC = None # Store grid by default
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gridCC = property(**gridCC())
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def gridN():
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doc = "Nodal grid."
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def fget(self):
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if self._gridN is None:
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raise Exception("Someone deleted this. I blame you.")
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return self._gridN
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return locals()
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_gridN = None # Store grid by default
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gridN = property(**gridN())
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def gridFx():
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doc = "Face staggered grid in the x direction."
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def fget(self):
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if self._gridFx is None:
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N = self.r(self.gridN, 'N', 'N', 'M')
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if self.dim == 2:
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XY = [mkvc(0.5 * (n[:, :-1] + n[:, 1:])) for n in N]
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self._gridFx = np.c_[XY[0], XY[1]]
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elif self.dim == 3:
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XYZ = [mkvc(0.25 * (n[:, :-1, :-1] + n[:, :-1, 1:] + n[:, 1:, :-1] + n[:, 1:, 1:])) for n in N]
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self._gridFx = np.c_[XYZ[0], XYZ[1], XYZ[2]]
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return self._gridFx
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return locals()
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_gridFx = None # Store grid by default
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gridFx = property(**gridFx())
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def gridFy():
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doc = "Face staggered grid in the y direction."
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def fget(self):
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if self._gridFy is None:
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N = self.r(self.gridN, 'N', 'N', 'M')
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if self.dim == 2:
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XY = [mkvc(0.5 * (n[:-1, :] + n[1:, :])) for n in N]
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self._gridFy = np.c_[XY[0], XY[1]]
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elif self.dim == 3:
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XYZ = [mkvc(0.25 * (n[:-1, :, :-1] + n[:-1, :, 1:] + n[1:, :, :-1] + n[1:, :, 1:])) for n in N]
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self._gridFy = np.c_[XYZ[0], XYZ[1], XYZ[2]]
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return self._gridFy
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return locals()
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_gridFy = None # Store grid by default
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gridFy = property(**gridFy())
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def gridFz():
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doc = "Face staggered grid in the z direction."
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def fget(self):
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if self._gridFz is None and self.dim == 3:
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N = self.r(self.gridN, 'N', 'N', 'M')
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XYZ = [mkvc(0.25 * (n[:-1, :-1, :] + n[:-1, 1:, :] + n[1:, :-1, :] + n[1:, 1:, :])) for n in N]
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self._gridFz = np.c_[XYZ[0], XYZ[1], XYZ[2]]
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return self._gridFz
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return locals()
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_gridFz = None # Store grid by default
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gridFz = property(**gridFz())
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def gridEx():
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doc = "Edge staggered grid in the x direction."
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def fget(self):
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if self._gridEx is None:
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N = self.r(self.gridN, 'N', 'N', 'M')
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if self.dim == 2:
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XY = [mkvc(0.5 * (n[:-1, :] + n[1:, :])) for n in N]
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self._gridEx = np.c_[XY[0], XY[1]]
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elif self.dim == 3:
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XYZ = [mkvc(0.5 * (n[:-1, :, :] + n[1:, :, :])) for n in N]
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self._gridEx = np.c_[XYZ[0], XYZ[1], XYZ[2]]
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return self._gridEx
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return locals()
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_gridEx = None # Store grid by default
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gridEx = property(**gridEx())
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def gridEy():
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doc = "Edge staggered grid in the y direction."
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def fget(self):
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if self._gridEy is None:
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N = self.r(self.gridN, 'N', 'N', 'M')
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if self.dim == 2:
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XY = [mkvc(0.5 * (n[:, :-1] + n[:, 1:])) for n in N]
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self._gridEy = np.c_[XY[0], XY[1]]
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elif self.dim == 3:
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XYZ = [mkvc(0.5 * (n[:, :-1, :] + n[:, 1:, :])) for n in N]
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self._gridEy = np.c_[XYZ[0], XYZ[1], XYZ[2]]
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return self._gridEy
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return locals()
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_gridEy = None # Store grid by default
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gridEy = property(**gridEy())
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def gridEz():
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doc = "Edge staggered grid in the z direction."
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def fget(self):
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if self._gridEz is None and self.dim == 3:
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N = self.r(self.gridN, 'N', 'N', 'M')
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XYZ = [mkvc(0.5 * (n[:, :, :-1] + n[:, :, 1:])) for n in N]
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self._gridEz = np.c_[XYZ[0], XYZ[1], XYZ[2]]
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return self._gridEz
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return locals()
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_gridEz = None # Store grid by default
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gridEz = property(**gridEz())
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# --------------- Geometries ---------------------
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#
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#
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# ------------------- 2D -------------------------
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#
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# node(i,j) node(i,j+1)
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# A -------------- B
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# | |
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# | cell(i,j) |
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# | I |
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# | |
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# D -------------- C
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# node(i+1,j) node(i+1,j+1)
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#
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# ------------------- 3D -------------------------
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#
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#
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# node(i,j,k+1) node(i,j+1,k+1)
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# E --------------- F
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# /| / |
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# / | / |
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# / | / |
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# node(i,j,k) node(i,j+1,k)
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# A -------------- B |
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# | H ----------|---- G
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# | /cell(i,j) | /
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# | / I | /
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# | / | /
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# D -------------- C
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# node(i+1,j,k) node(i+1,j+1,k)
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def vol():
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doc = "Construct cell volumes of the 3D model as 1d array."
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def fget(self):
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if(self._vol is None):
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if self.dim == 2:
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A, B, C, D = indexCube('ABCD', self.n+1)
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normal, area = faceInfo(np.c_[self.gridN, np.zeros((self.nN, 1))], A, B, C, D)
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self._vol = area
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elif self.dim == 3:
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# Each polyhedron can be decomposed into 5 tetrahedrons
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# However, this presents a choice so we may as well divide in two ways and average.
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A, B, C, D, E, F, G, H = indexCube('ABCDEFGH', self.n+1)
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vol1 = (volTetra(self.gridN, A, B, D, E) + # cutted edge top
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volTetra(self.gridN, B, E, F, G) + # cutted edge top
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volTetra(self.gridN, B, D, E, G) + # middle
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volTetra(self.gridN, B, C, D, G) + # cutted edge bottom
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volTetra(self.gridN, D, E, G, H)) # cutted edge bottom
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vol2 = (volTetra(self.gridN, A, F, B, C) + # cutted edge top
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volTetra(self.gridN, A, E, F, H) + # cutted edge top
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volTetra(self.gridN, A, H, F, C) + # middle
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volTetra(self.gridN, C, H, D, A) + # cutted edge bottom
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volTetra(self.gridN, C, G, H, F)) # cutted edge bottom
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self._vol = (vol1 + vol2)/2
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return self._vol
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return locals()
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_vol = None
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vol = property(**vol())
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def area():
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doc = "Face areas."
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def fget(self):
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if(self._area is None or self._normals is None):
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# Compute areas of cell faces
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if(self.dim == 2):
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xy = self.gridN
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A, B = indexCube('AB', self.n+1, np.array([self.nNx, self.nCy]))
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edge1 = xy[B, :] - xy[A, :]
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normal1 = np.c_[edge1[:, 1], -edge1[:, 0]]
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area1 = length2D(edge1)
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A, D = indexCube('AD', self.n+1, np.array([self.nCx, self.nNy]))
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# Note that we are doing A-D to make sure the normal points the right way.
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# Think about it. Look at the picture. Normal points towards C iff you do this.
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edge2 = xy[A, :] - xy[D, :]
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normal2 = np.c_[edge2[:, 1], -edge2[:, 0]]
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area2 = length2D(edge2)
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self._area = np.r_[mkvc(area1), mkvc(area2)]
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self._normals = [normalize2D(normal1), normalize2D(normal2)]
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elif(self.dim == 3):
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A, E, F, B = indexCube('AEFB', self.n+1, np.array([self.nNx, self.nCy, self.nCz]))
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normal1, area1 = faceInfo(self.gridN, A, E, F, B, average=False, normalizeNormals=False)
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A, D, H, E = indexCube('ADHE', self.n+1, np.array([self.nCx, self.nNy, self.nCz]))
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normal2, area2 = faceInfo(self.gridN, A, D, H, E, average=False, normalizeNormals=False)
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A, B, C, D = indexCube('ABCD', self.n+1, np.array([self.nCx, self.nCy, self.nNz]))
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normal3, area3 = faceInfo(self.gridN, A, B, C, D, average=False, normalizeNormals=False)
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self._area = np.r_[mkvc(area1), mkvc(area2), mkvc(area3)]
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self._normals = [normal1, normal2, normal3]
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return self._area
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return locals()
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_area = None
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area = property(**area())
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def normals():
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doc = """
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Face normals: calling this will average
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the computed normals so that there is one
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per face. This is especially relevant in
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3D, as there are up to 4 different normals
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for each face that will be different.
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To reshape the normals into a matrix and get the y component:
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NyX, NyY, NyZ = M.r(M.normals, 'F', 'Fy', 'M')
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"""
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def fget(self):
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if(self._normals is None):
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self.area # calling .area will create the face normals
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if self.dim == 2:
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return normalize2D(np.r_[self._normals[0], self._normals[1]])
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elif self.dim == 3:
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normal1 = (self._normals[0][0] + self._normals[0][1] + self._normals[0][2] + self._normals[0][3])/4
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normal2 = (self._normals[1][0] + self._normals[1][1] + self._normals[1][2] + self._normals[1][3])/4
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normal3 = (self._normals[2][0] + self._normals[2][1] + self._normals[2][2] + self._normals[2][3])/4
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return normalize3D(np.r_[normal1, normal2, normal3])
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return locals()
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_normals = None
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normals = property(**normals())
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def edge():
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doc = "Edge legnths."
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def fget(self):
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if(self._edge is None or self._tangents is None):
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if(self.dim == 2):
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xy = self.gridN
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A, D = indexCube('AD', self.n+1, np.array([self.nCx, self.nNy]))
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edge1 = xy[D, :] - xy[A, :]
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A, B = indexCube('AB', self.n+1, np.array([self.nNx, self.nCy]))
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edge2 = xy[B, :] - xy[A, :]
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self._edge = np.r_[mkvc(length2D(edge1)), mkvc(length2D(edge2))]
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self._tangents = np.r_[edge1, edge2]/np.c_[self._edge, self._edge]
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elif(self.dim == 3):
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xyz = self.gridN
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A, D = indexCube('AD', self.n+1, np.array([self.nCx, self.nNy, self.nNz]))
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edge1 = xyz[D, :] - xyz[A, :]
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A, B = indexCube('AB', self.n+1, np.array([self.nNx, self.nCy, self.nNz]))
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edge2 = xyz[B, :] - xyz[A, :]
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A, E = indexCube('AE', self.n+1, np.array([self.nNx, self.nNy, self.nCz]))
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edge3 = xyz[E, :] - xyz[A, :]
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self._edge = np.r_[mkvc(length3D(edge1)), mkvc(length3D(edge2)), mkvc(length3D(edge3))]
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self._tangents = np.r_[edge1, edge2, edge3]/np.c_[self._edge, self._edge, self._edge]
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return self._edge
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return locals()
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_edge = None
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edge = property(**edge())
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def tangents():
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doc = "Edge tangents."
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def fget(self):
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if(self._tangents is None):
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self.edge # calling .edge will create the tangents
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return self._tangents
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return locals()
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_tangents = None
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tangents = property(**tangents())
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if __name__ == '__main__':
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nc = 5
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h1 = np.cumsum(np.r_[0, np.ones(nc)/(nc)])
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nc = 7
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h2 = np.cumsum(np.r_[0, np.ones(nc)/(nc)])
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h3 = np.cumsum(np.r_[0, np.ones(nc)/(nc)])
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dee3 = True
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if dee3:
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X, Y, Z = ndgrid(h1, h2, h3, vector=False)
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M = LogicallyOrthogonalMesh([X, Y, Z])
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else:
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X, Y = ndgrid(h1, h2, vector=False)
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M = LogicallyOrthogonalMesh([X, Y])
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print M.r(M.normals, 'F', 'Fx', 'V')
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