mirror of
https://github.com/wassname/simpeg.git
synced 2026-09-12 12:51:28 +08:00
Split out base tensor mesh stuff into different mixing class.
This commit is contained in:
rowanc1
+132
-120
@@ -4,38 +4,13 @@ from TensorView import TensorView
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from DiffOperators import DiffOperators
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from InnerProducts import InnerProducts
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class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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"""
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TensorMesh is a mesh class that deals with tensor product meshes.
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Any Mesh that has a constant width along the entire axis
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such that it can defined by a single width vector, called 'h'.
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::
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hx = np.array([1,1,1])
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hy = np.array([1,2])
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hz = np.array([1,1,1,1])
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mesh = Mesh.TensorMesh([hx, hy, hz])
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Example of a padded tensor mesh:
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.. plot::
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from SimPEG import Mesh, Utils
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M = Mesh.TensorMesh(Utils.meshTensors(((10,10),(40,10),(10,10)), ((10,10),(20,10),(0,0))))
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M.plotGrid()
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For a quick tensor mesh on a (10x12x15) unit cube::
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mesh = Mesh.TensorMesh([10, 12, 15])
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"""
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class BaseTensorMesh(BaseRectangularMesh):
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__metaclass__ = Utils.SimPEGMetaClass
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_meshType = 'TENSOR'
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_meshType = 'BASETENSOR'
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_unitDimensions = [1, 1, 1]
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def __init__(self, h_in, x0=None):
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assert type(h_in) is list, 'h_in must be a list'
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@@ -43,7 +18,7 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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for i, h_i in enumerate(h_in):
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if type(h_i) in [int, long, float]:
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# This gives you something over the unit cube.
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h_i = np.ones(int(h_i))/int(h_i)
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h_i = self._unitDimensions[i] * np.ones(int(h_i))/int(h_i)
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assert type(h_i) == np.ndarray, ("h[%i] is not a numpy array." % i)
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assert len(h_i.shape) == 1, ("h[%i] must be a 1D numpy array." % i)
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h[i] = h_i[:] # make a copy.
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@@ -54,57 +29,6 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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# Ensure h contains 1D vectors
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self._h = [Utils.mkvc(x.astype(float)) for x in h]
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def __str__(self):
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outStr = ' ---- {0:d}-D TensorMesh ---- '.format(self.dim)
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def printH(hx, outStr=''):
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i = -1
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while True:
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i = i + 1
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if i > hx.size:
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break
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elif i == hx.size:
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break
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h = hx[i]
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n = 1
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for j in range(i+1, hx.size):
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if hx[j] == h:
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n = n + 1
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i = i + 1
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else:
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break
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if n == 1:
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outStr = outStr + ' {0:.2f},'.format(h)
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else:
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outStr = outStr + ' {0:d}*{1:.2f},'.format(n,h)
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return outStr[:-1]
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if self.dim == 1:
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outStr = outStr + '\n x0: {0:.2f}'.format(self.x0[0])
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outStr = outStr + '\n nCx: {0:d}'.format(self.nCx)
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outStr = outStr + printH(self.hx, outStr='\n hx:')
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pass
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elif self.dim == 2:
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outStr = outStr + '\n x0: {0:.2f}'.format(self.x0[0])
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outStr = outStr + '\n y0: {0:.2f}'.format(self.x0[1])
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outStr = outStr + '\n nCx: {0:d}'.format(self.nCx)
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outStr = outStr + '\n nCy: {0:d}'.format(self.nCy)
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outStr = outStr + printH(self.hx, outStr='\n hx:')
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outStr = outStr + printH(self.hy, outStr='\n hy:')
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elif self.dim == 3:
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outStr = outStr + '\n x0: {0:.2f}'.format(self.x0[0])
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outStr = outStr + '\n y0: {0:.2f}'.format(self.x0[1])
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outStr = outStr + '\n z0: {0:.2f}'.format(self.x0[2])
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outStr = outStr + '\n nCx: {0:d}'.format(self.nCx)
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outStr = outStr + '\n nCy: {0:d}'.format(self.nCy)
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outStr = outStr + '\n nCz: {0:d}'.format(self.nCz)
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outStr = outStr + printH(self.hx, outStr='\n hx:')
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outStr = outStr + printH(self.hy, outStr='\n hy:')
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outStr = outStr + printH(self.hz, outStr='\n hz:')
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return outStr
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@property
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def h(self):
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"""h is a list containing the cell widths of the tensor mesh in each dimension."""
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@@ -211,6 +135,133 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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self._gridEz = Utils.ndgrid(self.getTensor('Ez'))
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return self._gridEz
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def getTensor(self, locType):
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""" Returns a tensor list.
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:param str locType: What tensor (see below)
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:rtype: list
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:return: list of the tensors that make up the mesh.
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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 faces
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'Fy' -> y-component of field defined on faces
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'Fz' -> z-component of field defined on faces
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'N' -> scalar field defined on nodes
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'CC' -> scalar field defined on cell centers
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"""
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if locType is 'Fx':
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ten = [self.vectorNx , self.vectorCCy, self.vectorCCz]
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elif locType is 'Fy':
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ten = [self.vectorCCx, self.vectorNy , self.vectorCCz]
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elif locType is 'Fz':
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ten = [self.vectorCCx, self.vectorCCy, self.vectorNz ]
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elif locType is 'Ex':
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ten = [self.vectorCCx, self.vectorNy , self.vectorNz ]
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elif locType is 'Ey':
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ten = [self.vectorNx , self.vectorCCy, self.vectorNz ]
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elif locType is 'Ez':
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ten = [self.vectorNx , self.vectorNy , self.vectorCCz]
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elif locType is 'CC':
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ten = [self.vectorCCx, self.vectorCCy, self.vectorCCz]
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elif locType is 'N':
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ten = [self.vectorNx , self.vectorNy , self.vectorNz ]
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return [t for t in ten if t is not None]
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class TensorMesh(BaseTensorMesh, TensorView, DiffOperators, InnerProducts):
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"""
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TensorMesh is a mesh class that deals with tensor product meshes.
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Any Mesh that has a constant width along the entire axis
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such that it can defined by a single width vector, called 'h'.
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::
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hx = np.array([1,1,1])
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hy = np.array([1,2])
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hz = np.array([1,1,1,1])
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mesh = Mesh.TensorMesh([hx, hy, hz])
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Example of a padded tensor mesh:
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.. plot::
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from SimPEG import Mesh, Utils
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M = Mesh.TensorMesh(Utils.meshTensors(((10,10),(40,10),(10,10)), ((10,10),(20,10),(0,0))))
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M.plotGrid()
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For a quick tensor mesh on a (10x12x15) unit cube::
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mesh = Mesh.TensorMesh([10, 12, 15])
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"""
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__metaclass__ = Utils.SimPEGMetaClass
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_meshType = 'TENSOR'
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def __init__(self, h_in, x0=None):
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BaseTensorMesh.__init__(self, h_in, x0)
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def __str__(self):
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outStr = ' ---- {0:d}-D TensorMesh ---- '.format(self.dim)
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def printH(hx, outStr=''):
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i = -1
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while True:
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i = i + 1
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if i > hx.size:
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break
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elif i == hx.size:
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break
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h = hx[i]
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n = 1
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for j in range(i+1, hx.size):
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if hx[j] == h:
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n = n + 1
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i = i + 1
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else:
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break
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if n == 1:
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outStr = outStr + ' {0:.2f},'.format(h)
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else:
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outStr = outStr + ' {0:d}*{1:.2f},'.format(n,h)
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return outStr[:-1]
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if self.dim == 1:
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outStr = outStr + '\n x0: {0:.2f}'.format(self.x0[0])
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outStr = outStr + '\n nCx: {0:d}'.format(self.nCx)
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outStr = outStr + printH(self.hx, outStr='\n hx:')
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pass
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elif self.dim == 2:
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outStr = outStr + '\n x0: {0:.2f}'.format(self.x0[0])
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outStr = outStr + '\n y0: {0:.2f}'.format(self.x0[1])
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outStr = outStr + '\n nCx: {0:d}'.format(self.nCx)
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outStr = outStr + '\n nCy: {0:d}'.format(self.nCy)
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outStr = outStr + printH(self.hx, outStr='\n hx:')
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outStr = outStr + printH(self.hy, outStr='\n hy:')
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elif self.dim == 3:
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outStr = outStr + '\n x0: {0:.2f}'.format(self.x0[0])
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outStr = outStr + '\n y0: {0:.2f}'.format(self.x0[1])
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outStr = outStr + '\n z0: {0:.2f}'.format(self.x0[2])
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outStr = outStr + '\n nCx: {0:d}'.format(self.nCx)
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outStr = outStr + '\n nCy: {0:d}'.format(self.nCy)
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outStr = outStr + '\n nCz: {0:d}'.format(self.nCz)
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outStr = outStr + printH(self.hx, outStr='\n hx:')
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outStr = outStr + printH(self.hy, outStr='\n hy:')
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outStr = outStr + printH(self.hz, outStr='\n hz:')
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return outStr
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# --------------- Geometries ---------------------
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@property
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def vol(self):
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@@ -274,45 +325,6 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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# --------------- Methods ---------------------
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def getTensor(self, locType):
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""" Returns a tensor list.
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:param str locType: What tensor (see below)
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:rtype: list
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:return: list of the tensors that make up the mesh.
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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 faces
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'Fy' -> y-component of field defined on faces
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'Fz' -> z-component of field defined on faces
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'N' -> scalar field defined on nodes
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'CC' -> scalar field defined on cell centers
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"""
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if locType is 'Fx':
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ten = [self.vectorNx , self.vectorCCy, self.vectorCCz]
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elif locType is 'Fy':
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ten = [self.vectorCCx, self.vectorNy , self.vectorCCz]
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elif locType is 'Fz':
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ten = [self.vectorCCx, self.vectorCCy, self.vectorNz ]
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elif locType is 'Ex':
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ten = [self.vectorCCx, self.vectorNy , self.vectorNz ]
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elif locType is 'Ey':
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ten = [self.vectorNx , self.vectorCCy, self.vectorNz ]
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elif locType is 'Ez':
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ten = [self.vectorNx , self.vectorNy , self.vectorCCz]
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elif locType is 'CC':
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ten = [self.vectorCCx, self.vectorCCy, self.vectorCCz]
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elif locType is 'N':
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ten = [self.vectorNx , self.vectorNy , self.vectorNz ]
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return [t for t in ten if t is not None]
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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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