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######################################################## |
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# |
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# Copyright (c) 2003-2009 by University of Queensland |
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# Earth Systems Science Computational Center (ESSCC) |
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# http://www.uq.edu.au/esscc |
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# |
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# Primary Business: Queensland, Australia |
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# Licensed under the Open Software License version 3.0 |
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# http://www.opensource.org/licenses/osl-3.0.php |
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# |
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######################################################## |
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|
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__copyright__="""Copyright (c) 2003-2009 by University of Queensland |
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Earth Systems Science Computational Center (ESSCC) |
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http://www.uq.edu.au/esscc |
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Primary Business: Queensland, Australia""" |
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__license__="""Licensed under the Open Software License version 3.0 |
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http://www.opensource.org/licenses/osl-3.0.php""" |
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__url__="https://launchpad.net/escript-finley" |
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|
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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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|
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class FinleyReader(ParameterSet): |
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""" |
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reads finley mesh file. |
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|
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@ivar source: mesh file in finley or gmsh format |
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@type source: C{DataSource} |
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@ivar intergrationOrder: integration order, default -1 (in). |
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@type intergrationOrder: C{int} |
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@ivar reducedIntegrationOrder: reduced integration order, default -1 (in). |
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@type reducedIntegrationOrder: C{int} |
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@ivar optimizeLabeling: switches on optimization of the labeling of the nodes |
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@type optimizeLabeling: C{bool} |
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""" |
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def __init__(self,**kwargs): |
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""" |
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initializes the object |
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""" |
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super(FinleyReader,self).__init__(**kwargs) |
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self.declareParameter(source="none", |
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dim=None, |
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optimizeLabeling=True, |
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reducedIntegrationOrder=-1, |
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integrationOrder=-1) |
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self.__domain=None |
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|
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|
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def domain(self): |
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""" |
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returns the domain |
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|
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@return: the domain |
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@rtype: L{Domain} |
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""" |
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if self.__domain == None: |
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if self.source.fileformat == "fly": |
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self.__domain=finley.ReadMesh(self.source.getLocalFileName(),self.integrationOrder) |
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elif self.source.fileformat == "gmsh": |
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if self.dim==None: |
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dim=3 |
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else: |
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dim=self.dim |
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self.__domain=finley.ReadGmsh(self.source.getLocalFileName(),dim,self.integrationOrder,self.reducedIntegrationOrder, self.optimizeLabeling) |
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else: |
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raise TypeError("unknown mesh file format %s."%self.source.fileformat) |
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self.trace("mesh read from %s in %s format."%(self.source.getLocalFileName(), self.source.fileformat)) |
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return self.__domain |
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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: spatial dimension, default =2 (in). |
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@type dim: spatial dimension |
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@ivar l: spatial lengths, default [1.,1.,1.] (in). |
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@type l: C{list} of C{floats}s |
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@ivar n: number of elements, default [10,10,10] (in). |
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@type n: C{list} of C{int}s |
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@ivar order: element order, default 1 (in). |
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@type order: C{int} |
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@ivar periodic: flags for periodicity, default [False,False,False] (in). |
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@type periodic: C{list} of C{bool}s |
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@ivar intergrationOrder: integration order, default -1 (in). |
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@type intergrationOrder: C{int} |
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""" |
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def __init__(self,**kwargs): |
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""" |
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initializes the object |
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""" |
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super(RectangularDomain,self).__init__(**kwargs) |
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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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""" |
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returns the domain |
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|
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@return: the domain |
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@rtype: L{Domain} |
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""" |
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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[2],\ |
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l0=self.l[0],\ |
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l1=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[2], \ |
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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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return self.__domain |
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|
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class UpdateGeometry(Model): |
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""" |
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applies a displacement field to a domain |
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|
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@ivar displacement: displacements applied to the original mesh coordinates (in). |
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@type displacement: L{escript.Vector} |
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@ivar domain: domain |
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@type domain: L{escript.Domain} |
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""" |
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def __init__(self,**kwargs): |
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""" |
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set-up the object |
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""" |
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super(UpdateGeometry, self).__init__(**kwargs) |
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self.declareParameter(domain=None,\ |
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displacement=None) |
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|
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|
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def doInitialization(self): |
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""" |
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initialize model |
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""" |
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self.__x=self.domain.getX() |
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self.__reset=True |
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|
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def doStepPreprocessing(self,dt): |
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""" |
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applies the current L{displacement} to mesh nodes if required. |
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""" |
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if self.__reset: |
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self.trace("mesh nodes updated.") |
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self.domain.setX(self.__x+self.displacement) |
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self.__reset=False |
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|
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def doStep(self,dt): |
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""" |
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applies the current L{displacement} to mesh nodes. |
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""" |
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self.trace("mesh nodes updated.") |
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self.domain.setX(self.__x+self.displacement) |
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self.__reset=True |
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|
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def doStepPostprocessing(self,dt): |
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""" |
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marks nodes as beeing updated. |
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""" |
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self.__reset=False |
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|
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class ConstrainerOverBox(Model): |
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""" |
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Creates a characteristic function for the location of constraints |
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for all components of a value and selects the value from an initial value |
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ate these locations. |
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|
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In the case that the spatial dimension is two, the arguments front and back are ignored. |
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|
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@ivar domain: domain (in). |
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@ivar left: True to set a constraint at the left face of the domain (x[0]=min x[0]), default False (in). |
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@ivar right: True to set a constraint at the left face of the domain (x[0]=max x[0]), default False (in). |
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@ivar top: True to set a constraint at the left face of the domain (x[1]=min x[1]), default False (in). |
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@ivar bottom: True to set a constraint at the left face of the domain (x[1]=max x[1]), default False (in). |
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@ivar front: True to set a constraint at the left face of the domain (x[2]=min x[2]), default False (in). |
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@ivar back: True to set a constraint at the left face of the domain (x[2]=max x[2]), default False (in). |
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@ivar tol: absolute tolerance for "x=max x" condition, default 1.e-8 (in). |
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""" |
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def __init__(self,**kwargs): |
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super(ConstrainerOverBox, self).__init__(**kwargs) |
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self.declareParameter(domain=None, \ |
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value=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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tol=1.e-8) |
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self.__value_of_constraint = None |
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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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return the values used to constrain a solution |
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|
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@return: the mask marking the locations of the constraints |
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@rtype: L{escript.Scalar} |
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""" |
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if self.__location_of_constraint == None: self.__setOutput() |
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return self.__location_of_constraint |
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|
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def value_of_constraint(self): |
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""" |
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return the values used to constrain a solution |
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|
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@return: values to be used at the locations of the constraints. If |
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C{value} is not given C{None} is rerturned. |
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@rtype: L{escript.Scalar} |
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""" |
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if self.__location_of_constraint == None: self.__setOutput() |
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return self.__value_of_constraint |
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|
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def __setOutput(self): |
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if self.__location_of_constraint == None: |
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x=self.domain.getX() |
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val=self.value |
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if isinstance(val, int) or isinstance(val, float): |
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shape=() |
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elif isinstance(val, list) or isinstance(val, tuple) : |
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shape=(len(val),) |
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elif isinstance(val, numpy.ndarray): |
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shape=val.shape |
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elif val == None: |
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shape=() |
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else: |
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shape=val.getShape() |
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self.__location_of_constraint=Data(0,shape,x.getFunctionSpace()) |
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if self.domain.getDim()==3: |
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x0,x1,x2=x[0],x[1],x[2] |
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if self.left: self.__location_of_constraint+=whereZero(x0-inf(x0),self.tol) |
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if self.right: self.__location_of_constraint+=whereZero(x0-sup(x0),self.tol) |
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if self.front: self.__location_of_constraint+=whereZero(x1-inf(x1),self.tol) |
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if self.back: self.__location_of_constraint+=whereZero(x1-sup(x1),self.tol) |
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if self.bottom: self.__location_of_constraint+=whereZero(x2-inf(x2),self.tol) |
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if self.top: self.__location_of_constraint+=whereZero(x2-sup(x2),self.tol) |
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else: |
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x0,x1=x[0],x[1] |
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if self.left: self.__location_of_constraint+=whereZero(x0-inf(x0),self.tol) |
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if self.right: self.__location_of_constraint+=whereZero(x0-sup(x0),self.tol) |
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if self.bottom: self.__location_of_constraint+=whereZero(x1-inf(x1),self.tol) |
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if self.top: self.__location_of_constraint+=whereZero(x1-sup(x1),self.tol) |
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if not self.value == None: |
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self.__value_of_constraint=self.__location_of_constraint*self.value |
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class ScalarConstrainerOverBox(Model): |
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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 and selects the value from an initial value |
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ate these locations. |
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|
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In the case that the spatial dimension is two, the arguments front and back are ignored. |
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|
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@ivar domain: domain (in). |
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@ivar left: True to set a constraint at the left face of the domain (x[0]=min x[0]), default False (in). |
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@ivar right: True to set a constraint at the left face of the domain (x[0]=max x[0]), default False (in). |
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@ivar top: True to set a constraint at the left face of the domain (x[1]=min x[1]), default False (in). |
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@ivar bottom: True to set a constraint at the left face of the domain (x[1]=max x[1]), default False (in). |
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@ivar front: True to set a constraint at the left face of the domain (x[2]=min x[2]), default False (in). |
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@ivar back: True to set a constraint at the left face of the domain (x[2]=max x[2]), default False (in). |
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@ivar tol: absolute tolerance for "x=max x" condition, default 1.e-8 (in). |
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""" |
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def __init__(self,**kwargs): |
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super(ScalarConstrainerOverBox, self).__init__(**kwargs) |
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self.declareParameter(domain=None, \ |
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value=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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tol=1.e-8) |
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self.__value_of_constraint = None |
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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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return the values used to constrain a solution |
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|
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@return: the mask marking the locations of the constraints |
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@rtype: L{escript.Scalar} |
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""" |
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if self.__location_of_constraint == None: self.__setOutput() |
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return self.__location_of_constraint |
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|
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def value_of_constraint(self): |
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""" |
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return the values used to constrain a solution |
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|
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@return: values to be used at the locations of the constraints. If |
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C{value} is not given C{None} is rerturned. |
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@rtype: L{escript.Scalar} |
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""" |
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if self.__location_of_constraint == None: self.__setOutput() |
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return self.__value_of_constraint |
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|
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def __setOutput(self): |
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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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x0,x1,x2=x[0],x[1],x[2] |
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d=max(sup(x0)-inf(x0), sup(x1)-inf(x1), sup(x2)-inf(x2)) |
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if self.left: self.__location_of_constraint+=whereZero(x0-inf(x0),self.tol*d) |
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if self.right: self.__location_of_constraint+=whereZero(x0-sup(x0),self.tol*d) |
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if self.front: self.__location_of_constraint+=whereZero(x1-inf(x1),self.tol*d) |
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if self.back: self.__location_of_constraint+=whereZero(x1-sup(x1),self.tol*d) |
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if self.bottom: self.__location_of_constraint+=whereZero(x2-inf(x2),self.tol*d) |
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if self.top: self.__location_of_constraint+=whereZero(x2-sup(x2),self.tol*d) |
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else: |
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x0,x1=x[0],x[1] |
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d=max(sup(x0)-inf(x0), sup(x1)-inf(x1)) |
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if self.left: self.__location_of_constraint+=whereZero(x0-inf(x0),self.tol*d) |
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if self.right: self.__location_of_constraint+=whereZero(x0-sup(x0),self.tol*d) |
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if self.bottom: self.__location_of_constraint+=whereZero(x1-inf(x1),self.tol*d) |
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if self.top: self.__location_of_constraint+=whereZero(x1-sup(x1),self.tol*d) |
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if not self.value == None: |
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self.__value_of_constraint=self.__location_of_constraint*self.value |
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|
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class VectorConstrainerOverBox(Model): |
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""" |
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Creates a characteristic function for the location of constraints vector value. |
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In the case that the spatial dimension is two, the 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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@ivar domain: domain |
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@ivar left: list of three boolean. left[i]==True sets a constraint for the i-th component at the left face of the domain (x[0]=min x[0]), |
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default [False,False,False] (in). |
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@ivar right: list of three boolean. left[i]==True sets a constraint for the i-th component at the right face of the domain (x[0]=max x[0]), |
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default [False,False,False] (in). |
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@ivar top: list of three boolean. left[i]==True sets a constraint for the i-th component at the top face of the domain (x[1]=min x[1]), |
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default [False,False,False] (in). |
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@ivar bottom: list of three boolean. left[i]==True sets a constraint for the i-th component at the bottom face of the domain (x[1]=min x[1]), |
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default [False,False,False] (in). |
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@ivar front: list of three boolean. left[i]==True sets a constraint for the i-th component at the front face of the domain (x[2]=min x[2]), |
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default [False,False,False] (in). |
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@ivar back: list of three boolean. left[i]==True sets a constraint for the i-th component at the back face of the domain (x[2]=max x[2]), |
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default [False,False,False] (in). |
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@ivar tol: absolute tolerance for "x=max x" condition, default 1.e-8 (in). |
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""" |
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def __init__(self, **kwargs): |
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super(VectorConstrainerOverBox, self).__init__(**kwargs) |
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self.declareParameter(domain=None, \ |
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value=None, \ |
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left=[False ,False ,False ], \ |
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right=[False ,False ,False ], \ |
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top=[False ,False ,False ], \ |
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bottom=[False ,False ,False ], \ |
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front=[False ,False ,False ], \ |
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back=[False ,False ,False ], \ |
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tol=1.e-8) |
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self.__value_of_constraint = None |
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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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return the values used to constrain a solution |
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|
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@return: the mask marking the locations of the constraints |
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@rtype: L{escript.Vector} |
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""" |
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if self.__location_of_constraint == None: self.__setOutput() |
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return self.__location_of_constraint |
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|
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def value_of_constraint(self): |
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""" |
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return the values used to constrain a solution |
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|
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@return: values to be used at the locations of the constraints. If |
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C{value} is not given C{None} is rerturned. |
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@rtype: L{escript.Vector} |
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""" |
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if self.__location_of_constraint == None: self.__setOutput() |
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return self.__value_of_constraint |
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|
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def __setOutput(self): |
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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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x0,x1,x2=x[0],x[1],x[2] |
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d=max(sup(x0)-inf(x0), sup(x1)-inf(x1), sup(x2)-inf(x2)) |
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left_mask=whereZero(x0-inf(x0),self.tol*d) |
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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(x0-sup(x0),self.tol*d) |
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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(x1-inf(x1),self.tol*d) |
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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(x1-sup(x1),self.tol*d) |
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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(x2-inf(x2),self.tol*d) |
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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(x2-sup(x2),self.tol*d) |
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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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if not self.value == None: |
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self.__value_of_constraint=self.__location_of_constraint*self.value |
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else: |
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x0,x1=x[0],x[1] |
| 426 |
d=max(sup(x0)-inf(x0), sup(x1)-inf(x1)) |
| 427 |
left_mask=whereZero(x0-inf(x0),self.tol*d) |
| 428 |
if self.left[0]: self.__location_of_constraint+=left_mask*[1.,0.] |
| 429 |
if self.left[1]: self.__location_of_constraint+=left_mask*[0.,1.] |
| 430 |
right_mask=whereZero(x0-sup(x0),self.tol*d) |
| 431 |
if self.right[0]: self.__location_of_constraint+=right_mask*[1.,0.] |
| 432 |
if self.right[1]: self.__location_of_constraint+=right_mask*[0.,1.] |
| 433 |
bottom_mask=whereZero(x1-inf(x1),self.tol*d) |
| 434 |
if self.bottom[0]: self.__location_of_constraint+=bottom_mask*[1.,0.] |
| 435 |
if self.bottom[1]: self.__location_of_constraint+=bottom_mask*[0.,1.] |
| 436 |
top_mask=whereZero(x1-sup(x1),self.tol*d) |
| 437 |
if self.top[0]: self.__location_of_constraint+=top_mask*[1.,0.] |
| 438 |
if self.top[1]: self.__location_of_constraint+=top_mask*[0.,1.] |
| 439 |
if not self.value == None: |
| 440 |
self.__value_of_constraint=self.__location_of_constraint*self.value[:2] |
| 441 |
|
| 442 |
class ConstrainerAtBoxVertex(Model): |
| 443 |
""" |
| 444 |
Creates a characteristic function for the location of constraints |
| 445 |
for all components of a value and selects the value from an initial value |
| 446 |
ate these locations. |
| 447 |
|
| 448 |
In the case that the spatial dimension is two, the arguments front and back are ignored. |
| 449 |
|
| 450 |
@ivar domain: domain (in). |
| 451 |
@ivar tol: absolute tolerance for "x=left, front, bottom vertex" condition, default 1.e-8 (in). |
| 452 |
""" |
| 453 |
def __init__(self,**kwargs): |
| 454 |
super(ConstrainerAtBoxVertex, self).__init__(**kwargs) |
| 455 |
self.declareParameter(domain=None, \ |
| 456 |
value=None, \ |
| 457 |
tol=1.e-8) |
| 458 |
self.__value_of_constraint = None |
| 459 |
self.__location_of_constraint=None |
| 460 |
def location_of_constraint(self): |
| 461 |
""" |
| 462 |
return the values used to constrain a solution |
| 463 |
|
| 464 |
@return: the mask marking the locations of the constraints |
| 465 |
@rtype: L{escript.Scalar} |
| 466 |
""" |
| 467 |
if self.__location_of_constraint == None: self.__setOutput() |
| 468 |
return self.__location_of_constraint |
| 469 |
|
| 470 |
def value_of_constraint(self): |
| 471 |
""" |
| 472 |
return the values used to constrain a solution |
| 473 |
|
| 474 |
@return: values to be used at the locations of the constraints. If |
| 475 |
C{value} is not given C{None} is rerturned. |
| 476 |
@rtype: L{escript.Scalar} |
| 477 |
""" |
| 478 |
if self.__location_of_constraint == None: self.__setOutput() |
| 479 |
return self.__value_of_constraint |
| 480 |
|
| 481 |
def __setOutput(self): |
| 482 |
if self.__location_of_constraint == None: |
| 483 |
x=self.domain.getX() |
| 484 |
val=self.value |
| 485 |
if isinstance(val, int) or isinstance(val, float): |
| 486 |
shape=() |
| 487 |
elif isinstance(val, list) or isinstance(val, tuple) : |
| 488 |
shape=(len(val),) |
| 489 |
elif isinstance(val, numpy.ndarray): |
| 490 |
shape=val.shape |
| 491 |
elif val == None: |
| 492 |
shape=() |
| 493 |
else: |
| 494 |
shape=val.getShape() |
| 495 |
if self.domain.getDim()==3: |
| 496 |
vertex=[inf(x[0]),inf(x[1]),inf(x[2])] |
| 497 |
else: |
| 498 |
vertex=[inf(x[0]),inf(x[1])] |
| 499 |
self.__location_of_constraint=whereZero(length(x-vertex),self.tol)*numpy.ones(shape) |
| 500 |
if not self.value == None: |
| 501 |
self.__value_of_constraint=self.__location_of_constraint*self.value |
| 502 |
class ScalarConstrainerAtBoxVertex(Model): |
| 503 |
""" |
| 504 |
Creates a characteristic function for the location of constraints |
| 505 |
for a scalar value and selects the value from an initial value |
| 506 |
ate these locations. |
| 507 |
|
| 508 |
In the case that the spatial dimension is two, the arguments front and back are ignored. |
| 509 |
|
| 510 |
@ivar domain: domain (in). |
| 511 |
@ivar tol: absolute tolerance for "x=left, front, bottom vertex" condition, default 1.e-8 (in). |
| 512 |
""" |
| 513 |
def __init__(self,**kwargs): |
| 514 |
super(ScalarConstrainerAtBoxVertex, self).__init__(**kwargs) |
| 515 |
self.declareParameter(domain=None, \ |
| 516 |
value=None, \ |
| 517 |
tol=1.e-8) |
| 518 |
self.__value_of_constraint = None |
| 519 |
self.__location_of_constraint=None |
| 520 |
def location_of_constraint(self): |
| 521 |
""" |
| 522 |
return the values used to constrain a solution |
| 523 |
|
| 524 |
@return: the mask marking the locations of the constraints |
| 525 |
@rtype: L{escript.Scalar} |
| 526 |
""" |
| 527 |
if self.__location_of_constraint == None: self.__setOutput() |
| 528 |
return self.__location_of_constraint |
| 529 |
|
| 530 |
def value_of_constraint(self): |
| 531 |
""" |
| 532 |
return the values used to constrain a solution |
| 533 |
|
| 534 |
@return: values to be used at the locations of the constraints. If |
| 535 |
C{value} is not given C{None} is rerturned. |
| 536 |
@rtype: L{escript.Scalar} |
| 537 |
""" |
| 538 |
if self.__location_of_constraint == None: self.__setOutput() |
| 539 |
return self.__value_of_constraint |
| 540 |
|
| 541 |
def __setOutput(self): |
| 542 |
x=self.domain.getX() |
| 543 |
self.__location_of_constraint=Scalar(0,x.getFunctionSpace()) |
| 544 |
if self.domain.getDim()==3: |
| 545 |
vertex=[inf(x[0]),inf(x[1]),inf(x[2])] |
| 546 |
else: |
| 547 |
vertex=[inf(x[0]),inf(x[1])] |
| 548 |
self.__location_of_constraint=whereZero(length(x-vertex),self.tol) |
| 549 |
if not self.value == None: |
| 550 |
self.__value_of_constraint=self.__location_of_constraint*self.value |
| 551 |
|
| 552 |
class VectorConstrainerAtBoxVertex(Model): |
| 553 |
""" |
| 554 |
Creates a characteristic function for the location of constraints vector value. |
| 555 |
In the case that the spatial dimension is two, the arguments front and |
| 556 |
back as well as the third component of each argument is ignored. |
| 557 |
|
| 558 |
@ivar domain: domain |
| 559 |
@ivar comp_mask: list of three boolean. comp_mask[i]==True sets a constraint for the i-th component at the left, front, bottom vertex, default [False,False,False] (in). |
| 560 |
@ivar tol: absolute tolerance for "x=left, front, bottom vertex" condition, default 1.e-8 (in). |
| 561 |
""" |
| 562 |
def __init__(self, **kwargs): |
| 563 |
super(VectorConstrainerAtBoxVertex, self).__init__(**kwargs) |
| 564 |
self.declareParameter(domain=None, \ |
| 565 |
value=None, \ |
| 566 |
comp_mask=[False, False, False], |
| 567 |
tol=1.e-8) |
| 568 |
self.__value_of_constraint = None |
| 569 |
self.__location_of_constraint=None |
| 570 |
|
| 571 |
def location_of_constraint(self): |
| 572 |
""" |
| 573 |
return the values used to constrain a solution |
| 574 |
|
| 575 |
@return: the mask marking the locations of the constraints |
| 576 |
@rtype: L{escript.Vector} |
| 577 |
""" |
| 578 |
if self.__location_of_constraint == None: self.__setOutput() |
| 579 |
return self.__location_of_constraint |
| 580 |
|
| 581 |
def value_of_constraint(self): |
| 582 |
""" |
| 583 |
return the values used to constrain a solution |
| 584 |
|
| 585 |
@return: values to be used at the locations of the constraints. If |
| 586 |
C{value} is not given C{None} is rerturned. |
| 587 |
@rtype: L{escript.Vector} |
| 588 |
""" |
| 589 |
if self.__location_of_constraint == None: self.__setOutput() |
| 590 |
return self.__value_of_constraint |
| 591 |
|
| 592 |
def __setOutput(self): |
| 593 |
x=self.domain.getX() |
| 594 |
self.__location_of_constraint=Vector(0,x.getFunctionSpace()) |
| 595 |
if self.domain.getDim()==3: |
| 596 |
vertex=[inf(x[0]),inf(x[1]),inf(x[2])] |
| 597 |
msk=numpy.zeros((3,)) |
| 598 |
if self.comp_mask[0]: msk[0]=1 |
| 599 |
if self.comp_mask[1]: msk[1]=1 |
| 600 |
if self.comp_mask[2]: msk[2]=1 |
| 601 |
else: |
| 602 |
vertex=[inf(x[0]),inf(x[1])] |
| 603 |
msk=numpy.zeros((2,)) |
| 604 |
if self.comp_mask[0]: msk[0]=1 |
| 605 |
if self.comp_mask[1]: msk[1]=1 |
| 606 |
self.__location_of_constraint=whereZero(length(x-vertex),self.tol)*numpy.ones(shape) |
| 607 |
if not self.value == None: |
| 608 |
self.__value_of_constraint=self.__location_of_constraint*self.value |
| 609 |
|
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