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# $Id$ |
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""" |
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provides a some tools related to PDEs currently includes: |
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Projector - to project a discontinuous |
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""" |
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from escript import * |
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from linearPDEs import LinearPDE |
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import numarray |
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class Projector: |
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"""The Projector is a factory which projects a discontiuous function onto a continuous function on the a given domain""" |
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def __init__(self, domain, reduce = True, fast=True): |
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""" |
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@brief Create a continuous function space projector for a domain. |
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@param domain Domain of the projection. |
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@param reduce Flag to reduce projection order (default is True) |
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@param fast Flag to use a fast method based on matrix lumping (default is true) |
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""" |
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self.__pde = LinearPDE(domain) |
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self.__pde.setLumping(fast) |
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self.__pde.setSymmetryOn() |
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self.__pde.setReducedOrderTo(reduce) |
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self.__pde.setValue(D = 1.) |
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return |
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def __del__(self): |
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return |
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def __call__(self, input_data): |
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""" |
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@brief projects input_data onto a continuous function |
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@param input_data The input_data to be projected. |
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""" |
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out=Data(0.,input_data.getShape(),what=ContinuousFunction(self.__pde.getDomain())) |
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if input_data.getRank()==0: |
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self.__pde.setValue(Y = input_data) |
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out=self.__pde.getSolution() |
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elif input_data.getRank()==1: |
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for i0 in range(input_data.getShape()[0]): |
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self.__pde.setValue(Y = input_data[i0]) |
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out[i0]=self.__pde.getSolution() |
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elif input_data.getRank()==2: |
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for i0 in range(input_data.getShape()[0]): |
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for i1 in range(input_data.getShape()[1]): |
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self.__pde.setValue(Y = input_data[i0,i1]) |
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out[i0,i1]=self.__pde.getSolution() |
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elif input_data.getRank()==3: |
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for i0 in range(input_data.getShape()[0]): |
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for i1 in range(input_data.getShape()[1]): |
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for i2 in range(input_data.getShape()[2]): |
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self.__pde.setValue(Y = input_data[i0,i1,i2]) |
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out[i0,i1,i2]=self.__pde.getSolution() |
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else: |
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for i0 in range(input_data.getShape()[0]): |
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for i1 in range(input_data.getShape()[1]): |
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for i2 in range(input_data.getShape()[2]): |
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for i3 in range(input_data.getShape()[3]): |
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self.__pde.setValue(Y = input_data[i0,i1,i2,i3]) |
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out[i0,i1,i2,i3]=self.__pde.getSolution() |
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return out |
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class Locator: |
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""" |
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Locator provides a access the values of data objects at a given spatial coordinate x. |
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In fact, a Locator object finds the sample in the set of samples of a given function space or domain where which is closest |
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to the given point x. |
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""" |
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def __init__(self,where,x=numarray.zeros((3,))): |
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"""initializes a Locator to access values in Data objects on the Doamin or FunctionSpace where for the sample point which |
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closest to the given point x""" |
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if isinstance(where,FunctionSpace): |
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self.__function_space=where |
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else: |
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self.__function_space=ContinuousFunction(where) |
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self.__id=length(x[:self.__function_space.getDim()]-self.__function_space.getX()).mindp() |
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def __str__(self): |
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"""returns the coordinates of the Locator as a string""" |
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return "<Locator %s>"%str(self.getX()) |
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def getFunctionSpace(self): |
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"""returns the function space of the Locator""" |
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return self.__function_space |
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def getId(self): |
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"""returns the identifier of the location""" |
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return self.__id |
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def getX(self): |
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"""returns the exact coordinates of the Locator""" |
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return self(self.getFunctionSpace().getX()) |
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def __call__(self,data): |
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"""returns the value of data at the Locator of a Data object otherwise the object is returned.""" |
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return self.getValue(data) |
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def getValue(self,data): |
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"""returns the value of data at the Locator if data is a Data object otherwise the object is returned.""" |
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if isinstance(data,Data): |
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if data.getFunctionSpace()==self.getFunctionSpace(): |
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out=data.convertToNumArrayFromDPNo(self.getId()[0],self.getId()[1]) |
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else: |
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out=data.interpolate(self.getFunctionSpace()).convertToNumArrayFromDPNo(self.getId()[0],self.getId()[1]) |
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if data.getRank()==0: |
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return out[0] |
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else: |
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return out |
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else: |
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return data |