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# $Id$ |
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from esys.escript import * |
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from esys.escript.modelframe import Model,ParameterSet |
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from esys import finley |
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class FinleyReader(ParameterSet): |
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""" |
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Generates a mesh over a rectangular domain finley. |
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|
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@ivar filename: |
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@ivar intergrationOrder |
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@ivar domain: |
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""" |
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def __init__(self,debug=False): |
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super(FinleyReader,self).__init__(debug=debug) |
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ParameterSet.__init__(self,debug=debug) |
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self.declareParameter(source="none",\ |
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integrationOrder=-1) |
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self._domain=None |
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|
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def domain(self): |
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if self._domain==None: |
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self._domain=finley.ReadMesh(self.source,self.integrationOrder) |
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self.trace("mesh read from %s"%self.source) |
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return self._domain |
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|
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class RectangularDomain(ParameterSet): |
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""" |
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Generates a mesh over a rectangular domain finley. |
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|
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@ivar dim: |
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@ivar l: |
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@ivar n: |
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@ivar order: |
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@ivar periodic: |
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@ivar intergration order: |
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@ivar domain: |
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""" |
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def __init__(self,debug=False): |
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super(RectangularDomain,self).__init__(debug=debug) |
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self.declareParameter(dim=2,\ |
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l=[1.,1.,1.],\ |
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n=[10,10,10], \ |
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order=1,\ |
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periodic=[False,False,False],\ |
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integrationOrder=-1) |
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self._domain=None |
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|
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def domain(self): |
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if self._domain==None: |
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if self.dim==2: |
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self._domain=finley.Rectangle(n0=self.n[0],\ |
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n1=self.n[1],\ |
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l0=self.l[0],\ |
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l1=self.l[1],\ |
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order=self.order, \ |
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periodic0=self.periodic[0], \ |
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periodic1=self.periodic[1], \ |
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integrationOrder=self.integrationOrder) |
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else: |
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self._domain=finley.Brick(n0=self.n[0],\ |
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n1=self.n[1],\ |
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n2=self.n[2],\ |
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l0=self.l[0],\ |
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l1=self.l[1],\ |
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l2=self.l[2],\ |
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order=self.order, \ |
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periodic0=self.periodic[0], \ |
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periodic1=self.periodic[1], \ |
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periodic2=self.periodic[2], \ |
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integrationOrder=self.integrationOrder) |
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|
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return self._domain |
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|
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class ConstrainValue(Model): |
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""" |
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selects values for a given distribution to be used as a constrain. the location of the |
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constrain are he faces of a rectangular domain. This Model is typically used in |
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time dependend problems to fix the values in a given initial condition. |
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""" |
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def __init__(self,debug=False): |
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Model.__init__(self,debug=debug) |
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self.declareParameter(domain=None, \ |
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value=0, \ |
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top=True, \ |
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bottom=True,\ |
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front=False, \ |
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back=False,\ |
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left=False,\ |
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right=False,\ |
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constrain_value = None, \ |
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location_constrained_value=None) |
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def doInitialization(self): |
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""" |
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initialize time stepping |
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""" |
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tol=1.e-8 |
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x=self.domain.getX() |
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d=self.domain.getDim() |
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self.location_constrained_value=0 |
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x0=x[0] |
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mx=sup(x0) |
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mn=inf(x0) |
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if self.left: |
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self.location_constrained_value=self.location_constrained_value+whereZero(x0-mn,tol*(mx-mn)) |
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if self.right: |
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self.location_constrained_value=self.location_constrained_value+whereZero(x0-mx,tol*(mx-mn)) |
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x0=x[d-1] |
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mx=sup(x0) |
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mn=inf(x0) |
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if self.bottom: |
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self.location_constrained_value=self.location_constrained_value+whereZero(x0-mn,tol*(mx-mn)) |
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if self.top: |
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self.location_constrained_value=self.location_constrained_value+whereZero(x0-mx,tol*(mx-mn)) |
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if d>2: |
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x0=x[1] |
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mx=sup(x0) |
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mn=inf(x0) |
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if self.front: |
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self.location_constrained_value=self.location_constrained_value+whereZero(x0-mn,tol*(mx-mn)) |
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if self.back: |
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self.location_constrained_value=self.location_constrained_value+whereZero(x0-mx,tol*(mx-mn)) |
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self.constrain_value=self.value*self.location_constrained_value |
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|
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class ScalarConstrainer(ParameterSet): |
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""" |
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Creates a characteristic function for the location of constraints |
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for a scalar value. |
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|
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In the case that the spatial dimension is two, the arguments front |
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and back are ignored. |
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|
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@ivar domain (in): rectangular domain |
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@ivar left (in): True to set a constraint at the left face of the |
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domain (x[0]=min x[0]), default is False |
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@ivar right (in): True to set a constraint at the left face of the |
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domain (x[0]=max x[0]), default is False |
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@ivar top (in): True to set a constraint at the left face of the |
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domain (x[1]=min x[1]), default is False |
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@ivar bottom (in): True to set a constraint at the left face of the |
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domain (x[1]=max x[1]), default is False |
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@ivar front (in): True to set a constraint at the left face of the |
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domain (x[2]=min x[2]), default is False |
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@ivar back (in): True to set a constraint at the left face of the |
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domain (x[2]=max x[2]), default is False |
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@ivar location_of_constraint (out): object that defines the location |
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of the constraints. |
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""" |
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def __init__(self,debug=False): |
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ParameterSet.__init__(self,debug=debug) |
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self.declareParameter(domain=None, \ |
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left=False, \ |
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right=False, \ |
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top=False, \ |
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bottom=False, \ |
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front=False, \ |
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back=False) |
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self._location_of_constraint=None |
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|
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def location_of_constraint(self): |
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""" |
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Returns the mask of the location of constraint. |
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""" |
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if self._location_of_constraint==None: |
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x=self.domain.getX() |
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self._location_of_constraint=Scalar(0,x.getFunctionSpace()) |
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if self.domain.getDim()==3: |
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if self.left: self._location_of_constraint+=whereZero(x[0]-inf(x[0])) |
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if self.right: self._location_of_constraint+=whereZero(x[0]-sup(x[0])) |
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if self.front: self._location_of_constraint+=whereZero(x[1]-inf(x[1])) |
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if self.back: self._location_of_constraint+=whereZero(x[1]-sup(x[1])) |
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if self.bottom: self._location_of_constraint+=whereZero(x[2]-inf(x[2])) |
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if self.top: self._location_of_constraint+=whereZero(x[2]-sup(x[2])) |
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else: |
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if self.left: self._location_of_constraint+=whereZero(x[0]-inf(x[0])) |
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if self.right: self._location_of_constraint+=whereZero(x[0]-sup(x[0])) |
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if self.bottom: self._location_of_constraint+=whereZero(x[1]-inf(x[1])) |
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if self.top: self._location_of_constraint+=whereZero(x[1]-sup(x[1])) |
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return self._location_of_constraint |
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|
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class VectorConstrainer(ParameterSet): |
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""" |
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Creates a characteristic function for the location of constraints |
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for a scalar value. |
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|
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@ivar domain (in): rectangular domain |
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@ivar left (in): list of three boolean. left[i]==True sets a |
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constraint for the i-th component at the left |
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face of the domain (x[0]=min x[0]), |
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default is [False,False,False] |
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@ivar right (in): list of three boolean. left[i]==True sets a |
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constraint for the i-th component at the right |
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face of the domain (x[0]=max x[0]), |
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default is [False,False,False] |
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@ivar top (in): list of three boolean. left[i]==True sets a |
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constraint for the i-th component at the top |
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face of the domain (x[1]=min x[1]), |
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default is [False,False,False] |
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@ivar bottom (in): list of three boolean. left[i]==True sets a |
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constraint for the i-th component at the bottom |
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face of the domain (x[1]=min x[1]), |
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default is [False,False,False] |
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@ivar front (in): list of three boolean. left[i]==True sets a |
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constraint for the i-th component at the front |
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face of the domain (x[2]=min x[2]), |
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default is [False,False,False] |
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@ivar back (in): list of three boolean. left[i]==True sets a |
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constraint for the i-th component at the back |
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face of the domain (x[2]=max x[2]), |
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default is [False,False,False] |
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@ivar location_of_constraint (callable): object that defines the location of the constraints for each vector component. |
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|
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In the case that the spatial dimension is two, thh arguments front and |
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back as well as the third component of each argument is ignored. |
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""" |
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def __init__(self,debug=False): |
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ParameterSet.__init__(self,debug=debug) |
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self.declareParameter(domain=None, \ |
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left=[0,0,0], \ |
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right=[0,0,0], \ |
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top=[0,0,0], \ |
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bottom=[0,0,0], \ |
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front=[0,0,0], |
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back=[0,0,0]) |
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self._location_of_constraint=None |
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def location_of_constraint(self): |
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""" |
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Returns the mask of the location of constraint. |
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""" |
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if self._location_of_constraint==None: |
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x=self.domain.getX() |
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self._location_of_constraint=Vector(0,x.getFunctionSpace()) |
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if self.domain.getDim()==3: |
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left_mask=whereZero(x[0]-inf(x[0])) |
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if self.left[0]: self._location_of_constraint+=left_mask*[1.,0.,0.] |
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if self.left[1]: self._location_of_constraint+=left_mask*[0.,1.,0.] |
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if self.left[2]: self._location_of_constraint+=left_mask*[0.,0.,1.] |
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right_mask=whereZero(x[0]-sup(x[0])) |
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if self.right[0]: self._location_of_constraint+=right_mask*[1.,0.,0.] |
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if self.right[1]: self._location_of_constraint+=right_mask*[0.,1.,0.] |
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if self.right[2]: self._location_of_constraint+=right_mask*[0.,0.,1.] |
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front_mask=whereZero(x[1]-inf(x[1])) |
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if self.front[0]: self._location_of_constraint+=front_mask*[1.,0.,0.] |
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if self.front[1]: self._location_of_constraint+=front_mask*[0.,1.,0.] |
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if self.front[2]: self._location_of_constraint+=front_mask*[0.,0.,1.] |
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back_mask=whereZero(x[1]-sup(x[1])) |
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if self.back[0]: self._location_of_constraint+=back_mask*[1.,0.,0.] |
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if self.back[1]: self._location_of_constraint+=back_mask*[0.,1.,0.] |
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if self.back[2]: self._location_of_constraint+=back_mask*[0.,0.,1.] |
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bottom_mask=whereZero(x[2]-inf(x[2])) |
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if self.bottom[0]: self._location_of_constraint+=bottom_mask*[1.,0.,0.] |
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if self.bottom[1]: self._location_of_constraint+=bottom_mask*[0.,1.,0.] |
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if self.bottom[2]: self._location_of_constraint+=bottom_mask*[0.,0.,1.] |
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top_mask=whereZero(x[2]-sup(x[2])) |
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if self.top[0]: self._location_of_constraint+=top_mask*[1.,0.,0.] |
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if self.top[1]: self._location_of_constraint+=top_mask*[0.,1.,0.] |
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if self.top[2]: self._location_of_constraint+=top_mask*[0.,0.,1.] |
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else: |
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left_mask=whereZero(x[0]-inf(x[0])) |
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if self.left[0]: self._location_of_constraint+=left_mask*[1.,0.] |
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if self.left[1]: self._location_of_constraint+=left_mask*[0.,1.] |
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right_mask=whereZero(x[0]-sup(x[0])) |
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if self.right[0]: self._location_of_constraint+=right_mask*[1.,0.] |
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if self.right[1]: self._location_of_constraint+=right_mask*[0.,1.] |
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bottom_mask=whereZero(x[1]-inf(x[1])) |
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if self.bottom[0]: self._location_of_constraint+=bottom_mask*[1.,0.] |
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if self.bottom[1]: self._location_of_constraint+=bottom_mask*[0.,1.] |
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top_mask=whereZero(x[1]-sup(x[1])) |
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if self.top[0]: self._location_of_constraint+=top_mask*[1.,0.] |
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if self.top[1]: self._location_of_constraint+=top_mask*[0.,1.] |
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return self._location_of_constraint |
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|
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# vim: expandtab shiftwidth=4: |
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