Initial clean up of the CylMesh code. Inherits from TensorMesh. Many more things to do!

This commit is contained in:
rowanc1
2014-02-14 17:33:27 -08:00
parent 5fac160c38
commit 250108277f
6 changed files with 520 additions and 688 deletions
+145 -199
View File
@@ -105,226 +105,172 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
return outStr
def h():
doc = "h is a list containing the cell widths of the tensor mesh in each dimension."
fget = lambda self: self._h
return locals()
h = property(**h())
@property
def h(self):
"""h is a list containing the cell widths of the tensor mesh in each dimension."""
return self._h
def hx():
doc = "Width of cells in the x direction"
fget = lambda self: self._h[0]
return locals()
hx = property(**hx())
@property
def hx(self):
"Width of cells in the x direction"
return self._h[0]
def hy():
doc = "Width of cells in the y direction"
fget = lambda self: None if self.dim < 2 else self._h[1]
return locals()
hy = property(**hy())
@property
def hy(self):
"Width of cells in the y direction"
return None if self.dim < 2 else self._h[1]
def hz():
doc = "Width of cells in the z direction"
fget = lambda self: None if self.dim < 3 else self._h[2]
return locals()
hz = property(**hz())
@property
def hz(self):
"Width of cells in the z direction"
return None if self.dim < 3 else self._h[2]
def vectorNx():
doc = "Nodal grid vector (1D) in the x direction."
fget = lambda self: np.r_[0., self.hx.cumsum()] + self.x0[0]
return locals()
vectorNx = property(**vectorNx())
@property
def vectorNx(self):
"""Nodal grid vector (1D) in the x direction."""
return np.r_[0., self.hx.cumsum()] + self.x0[0]
def vectorNy():
doc = "Nodal grid vector (1D) in the y direction."
fget = lambda self: None if self.dim < 2 else np.r_[0., self.hy.cumsum()] + self.x0[1]
return locals()
vectorNy = property(**vectorNy())
@property
def vectorNy(self):
"""Nodal grid vector (1D) in the y direction."""
return None if self.dim < 2 else np.r_[0., self.hy.cumsum()] + self.x0[1]
def vectorNz():
doc = "Nodal grid vector (1D) in the z direction."
fget = lambda self: None if self.dim < 3 else np.r_[0., self.hz.cumsum()] + self.x0[2]
return locals()
vectorNz = property(**vectorNz())
@property
def vectorNz(self):
"""Nodal grid vector (1D) in the z direction."""
return None if self.dim < 3 else np.r_[0., self.hz.cumsum()] + self.x0[2]
def vectorCCx():
doc = "Cell-centered grid vector (1D) in the x direction."
fget = lambda self: np.r_[0, self.hx[:-1].cumsum()] + self.hx*0.5 + self.x0[0]
return locals()
vectorCCx = property(**vectorCCx())
@property
def vectorCCx(self):
"""Cell-centered grid vector (1D) in the x direction."""
return np.r_[0, self.hx[:-1].cumsum()] + self.hx*0.5 + self.x0[0]
def vectorCCy():
doc = "Cell-centered grid vector (1D) in the y direction."
fget = lambda self: None if self.dim < 2 else np.r_[0, self.hy[:-1].cumsum()] + self.hy*0.5 + self.x0[1]
return locals()
vectorCCy = property(**vectorCCy())
@property
def vectorCCy(self):
"""Cell-centered grid vector (1D) in the y direction."""
return None if self.dim < 2 else np.r_[0, self.hy[:-1].cumsum()] + self.hy*0.5 + self.x0[1]
def vectorCCz():
doc = "Cell-centered grid vector (1D) in the z direction."
fget = lambda self: None if self.dim < 3 else np.r_[0, self.hz[:-1].cumsum()] + self.hz*0.5 + self.x0[2]
return locals()
vectorCCz = property(**vectorCCz())
@property
def vectorCCz(self):
"""Cell-centered grid vector (1D) in the z direction."""
return None if self.dim < 3 else np.r_[0, self.hz[:-1].cumsum()] + self.hz*0.5 + self.x0[2]
def gridCC():
doc = "Cell-centered grid."
@property
def gridCC(self):
"""Cell-centered grid."""
if getattr(self, '_gridCC', None) is None:
self._gridCC = Utils.ndgrid(self.getTensor('CC'))
return self._gridCC
def fget(self):
if self._gridCC is None:
self._gridCC = Utils.ndgrid(self.getTensor('CC'))
return self._gridCC
return locals()
_gridCC = None # Store grid by default
gridCC = property(**gridCC())
@property
def gridN(self):
"""Nodal grid."""
if getattr(self, '_gridN', None) is None:
self._gridN = Utils.ndgrid(self.getTensor('N'))
return self._gridN
def gridN():
doc = "Nodal grid."
@property
def gridFx(self):
"""Face staggered grid in the x direction."""
if getattr(self, '_gridFx', None) is None:
self._gridFx = Utils.ndgrid(self.getTensor('Fx'))
return self._gridFx
def fget(self):
if self._gridN is None:
self._gridN = Utils.ndgrid(self.getTensor('N'))
return self._gridN
return locals()
_gridN = None # Store grid by default
gridN = property(**gridN())
@property
def gridFy(self):
"""Face staggered grid in the y direction."""
if getattr(self, '_gridFy', None) is None and self.dim > 1:
self._gridFy = Utils.ndgrid(self.getTensor('Fy'))
return self._gridFy
def gridFx():
doc = "Face staggered grid in the x direction."
@property
def gridFz(self):
"""Face staggered grid in the z direction."""
if getattr(self, '_gridFz', None) is None and self.dim > 2:
self._gridFz = Utils.ndgrid(self.getTensor('Fz'))
return self._gridFz
def fget(self):
if self._gridFx is None:
self._gridFx = Utils.ndgrid(self.getTensor('Fx'))
return self._gridFx
return locals()
_gridFx = None # Store grid by default
gridFx = property(**gridFx())
@property
def gridEx(self):
"""Edge staggered grid in the x direction."""
if getattr(self, '_gridEx', None) is None:
self._gridEx = Utils.ndgrid(self.getTensor('Ex'))
return self._gridEx
def gridFy():
doc = "Face staggered grid in the y direction."
@property
def gridEy(self):
"""Edge staggered grid in the y direction."""
if getattr(self, '_gridEy', None) is None and self.dim > 1:
self._gridEy = Utils.ndgrid(self.getTensor('Ey'))
return self._gridEy
def fget(self):
if self._gridFy is None and self.dim > 1:
self._gridFy = Utils.ndgrid(self.getTensor('Fy'))
return self._gridFy
return locals()
_gridFy = None # Store grid by default
gridFy = property(**gridFy())
def gridFz():
doc = "Face staggered grid in the z direction."
def fget(self):
if self._gridFz is None and self.dim > 2:
self._gridFz = Utils.ndgrid(self.getTensor('Fz'))
return self._gridFz
return locals()
_gridFz = None # Store grid by default
gridFz = property(**gridFz())
def gridEx():
doc = "Edge staggered grid in the x direction."
def fget(self):
if self._gridEx is None:
self._gridEx = Utils.ndgrid(self.getTensor('Ex'))
return self._gridEx
return locals()
_gridEx = None # Store grid by default
gridEx = property(**gridEx())
def gridEy():
doc = "Edge staggered grid in the y direction."
def fget(self):
if self._gridEy is None and self.dim > 1:
self._gridEy = Utils.ndgrid(self.getTensor('Ey'))
return self._gridEy
return locals()
_gridEy = None # Store grid by default
gridEy = property(**gridEy())
def gridEz():
doc = "Edge staggered grid in the z direction."
def fget(self):
if self._gridEz is None and self.dim > 2:
self._gridEz = Utils.ndgrid(self.getTensor('Ez'))
return self._gridEz
return locals()
_gridEz = None # Store grid by default
gridEz = property(**gridEz())
@property
def gridEz(self):
"""Edge staggered grid in the z direction."""
if getattr(self, '_gridEz', None) is None and self.dim > 2:
self._gridEz = Utils.ndgrid(self.getTensor('Ez'))
return self._gridEz
# --------------- Geometries ---------------------
def vol():
doc = "Construct cell volumes of the 3D model as 1d array."
@property
def vol(self):
"""Construct cell volumes of the 3D model as 1d array."""
if getattr(self, '_vol', None) is None:
vh = self.h
# Compute cell volumes
if self.dim == 1:
self._vol = Utils.mkvc(vh[0])
elif self.dim == 2:
# Cell sizes in each direction
self._vol = Utils.mkvc(np.outer(vh[0], vh[1]))
elif self.dim == 3:
# Cell sizes in each direction
self._vol = Utils.mkvc(np.outer(Utils.mkvc(np.outer(vh[0], vh[1])), vh[2]))
return self._vol
def fget(self):
if(self._vol is None):
vh = self.h
# Compute cell volumes
if(self.dim == 1):
self._vol = Utils.mkvc(vh[0])
elif(self.dim == 2):
# Cell sizes in each direction
self._vol = Utils.mkvc(np.outer(vh[0], vh[1]))
elif(self.dim == 3):
# Cell sizes in each direction
self._vol = Utils.mkvc(np.outer(Utils.mkvc(np.outer(vh[0], vh[1])), vh[2]))
return self._vol
return locals()
_vol = None
vol = property(**vol())
@property
def area(self):
"""Construct face areas of the 3D model as 1d array."""
if getattr(self, '_area', None) is None:
# Ensure that we are working with column vectors
vh = self.h
# The number of cell centers in each direction
n = self.vnC
# Compute areas of cell faces
if(self.dim == 1):
self._area = np.ones(n[0]+1)
elif(self.dim == 2):
area1 = np.outer(np.ones(n[0]+1), vh[1])
area2 = np.outer(vh[0], np.ones(n[1]+1))
self._area = np.r_[Utils.mkvc(area1), Utils.mkvc(area2)]
elif(self.dim == 3):
area1 = np.outer(np.ones(n[0]+1), Utils.mkvc(np.outer(vh[1], vh[2])))
area2 = np.outer(vh[0], Utils.mkvc(np.outer(np.ones(n[1]+1), vh[2])))
area3 = np.outer(vh[0], Utils.mkvc(np.outer(vh[1], np.ones(n[2]+1))))
self._area = np.r_[Utils.mkvc(area1), Utils.mkvc(area2), Utils.mkvc(area3)]
return self._area
def area():
doc = "Construct face areas of the 3D model as 1d array."
def fget(self):
if(self._area is None):
# Ensure that we are working with column vectors
vh = self.h
# The number of cell centers in each direction
n = self.vnC
# Compute areas of cell faces
if(self.dim == 1):
self._area = np.ones(n[0]+1)
elif(self.dim == 2):
area1 = np.outer(np.ones(n[0]+1), vh[1])
area2 = np.outer(vh[0], np.ones(n[1]+1))
self._area = np.r_[Utils.mkvc(area1), Utils.mkvc(area2)]
elif(self.dim == 3):
area1 = np.outer(np.ones(n[0]+1), Utils.mkvc(np.outer(vh[1], vh[2])))
area2 = np.outer(vh[0], Utils.mkvc(np.outer(np.ones(n[1]+1), vh[2])))
area3 = np.outer(vh[0], Utils.mkvc(np.outer(vh[1], np.ones(n[2]+1))))
self._area = np.r_[Utils.mkvc(area1), Utils.mkvc(area2), Utils.mkvc(area3)]
return self._area
return locals()
_area = None
area = property(**area())
def edge():
doc = "Construct edge legnths of the 3D model as 1d array."
def fget(self):
if(self._edge is None):
# Ensure that we are working with column vectors
vh = self.h
# The number of cell centers in each direction
n = self.vnC
# Compute edge lengths
if(self.dim == 1):
self._edge = Utils.mkvc(vh[0])
elif(self.dim == 2):
l1 = np.outer(vh[0], np.ones(n[1]+1))
l2 = np.outer(np.ones(n[0]+1), vh[1])
self._edge = np.r_[Utils.mkvc(l1), Utils.mkvc(l2)]
elif(self.dim == 3):
l1 = np.outer(vh[0], Utils.mkvc(np.outer(np.ones(n[1]+1), np.ones(n[2]+1))))
l2 = np.outer(np.ones(n[0]+1), Utils.mkvc(np.outer(vh[1], np.ones(n[2]+1))))
l3 = np.outer(np.ones(n[0]+1), Utils.mkvc(np.outer(np.ones(n[1]+1), vh[2])))
self._edge = np.r_[Utils.mkvc(l1), Utils.mkvc(l2), Utils.mkvc(l3)]
return self._edge
return locals()
_edge = None
edge = property(**edge())
@property
def edge(self):
"""Construct edge legnths of the 3D model as 1d array."""
if getattr(self, '_edge', None) is None:
# Ensure that we are working with column vectors
vh = self.h
# The number of cell centers in each direction
n = self.vnC
# Compute edge lengths
if(self.dim == 1):
self._edge = Utils.mkvc(vh[0])
elif(self.dim == 2):
l1 = np.outer(vh[0], np.ones(n[1]+1))
l2 = np.outer(np.ones(n[0]+1), vh[1])
self._edge = np.r_[Utils.mkvc(l1), Utils.mkvc(l2)]
elif(self.dim == 3):
l1 = np.outer(vh[0], Utils.mkvc(np.outer(np.ones(n[1]+1), np.ones(n[2]+1))))
l2 = np.outer(np.ones(n[0]+1), Utils.mkvc(np.outer(vh[1], np.ones(n[2]+1))))
l3 = np.outer(np.ones(n[0]+1), Utils.mkvc(np.outer(np.ones(n[1]+1), vh[2])))
self._edge = np.r_[Utils.mkvc(l1), Utils.mkvc(l2), Utils.mkvc(l3)]
return self._edge
# --------------- Methods ---------------------