示例#1
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文件: mesh.py 项目: regmi/fipy
 def _calcInteriorAndExteriorCellIDs(self):
     try:
         import sets
         self.exteriorCellIDs = sets.Set(self.faceCellIDs[0, self.getExteriorFaces().getValue()])
         self.interiorCellIDs = list(sets.Set(range(self.numberOfCells)) - self.exteriorCellIDs)
         self.exteriorCellIDs = list(self.exteriorCellIDs)
     except:
         self.exteriorCellIDs = self.faceCellIDs[0, self.getExteriorFaces().getValue()]
         tmp = numerix.zeros(self.numberOfCells)
         numerix.put(tmp, self.exteriorCellIDs, numerix.ones(len(self.exteriorCellIDs)))
         self.exteriorCellIDs = numerix.nonzero(tmp)            
         self.interiorCellIDs = numerix.nonzero(numerix.logical_not(tmp))
示例#2
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文件: mesh.py 项目: xinxinboss/fipy
 def _calcInteriorAndExteriorCellIDs(self):
     try:
         import sys
         if sys.version_info < (2, 6):
             from sets import Set as set
         exteriorCellIDs = set(self.faceCellIDs[0, self._exteriorFaces.value])
         interiorCellIDs = list(set(range(self.numberOfCells)) - self._exteriorCellIDs)
         exteriorCellIDs = list(self._exteriorCellIDs)
     except:
         exteriorCellIDs = self.faceCellIDs[0, self._exteriorFaces.value]
         tmp = numerix.zeros(self.numberOfCells, 'l')
         numerix.put(tmp, exteriorCellIDs, numerix.ones(len(exteriorCellIDs), 'l'))
         exteriorCellIDs = numerix.nonzero(tmp)            
         interiorCellIDs = numerix.nonzero(numerix.logical_not(tmp))
     return interiorCellIDs, exteriorCellIDs
示例#3
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文件: mesh2D.py 项目: regmi/fipy
   def _getNonOrthogonality(self):
       
       exteriorFaceArray = numerix.zeros((self.faceCellIDs.shape[1],))
       numerix.put(exteriorFaceArray, numerix.nonzero(self.getExteriorFaces()), 1)
       unmaskedFaceCellIDs = MA.filled(self.faceCellIDs, 0) ## what we put in for the "fill" doesn't matter because only exterior faces have anything masked, and exterior faces have their displacement vectors set to zero.
       ## if it's an exterior face, make the "displacement vector" equal to zero so the cross product will be zero.
   
       faceDisplacementVectors = numerix.where(numerix.array(zip(exteriorFaceArray, exteriorFaceArray)), 0.0, numerix.take(self._getCellCenters().swapaxes(0,1), unmaskedFaceCellIDs[1, :]) - numerix.take(self._getCellCenters().swapaxes(0,1), unmaskedFaceCellIDs[0, :])).swapaxes(0,1)
       faceCrossProducts = (faceDisplacementVectors[0, :] * self.faceNormals[1, :]) - (faceDisplacementVectors[1, :] * self.faceNormals[0, :])
       faceDisplacementVectorLengths = numerix.maximum(((faceDisplacementVectors[0, :] ** 2) + (faceDisplacementVectors[1, :] ** 2)) ** 0.5, 1.e-100)
       faceWeightedNonOrthogonalities = abs(faceCrossProducts / faceDisplacementVectorLengths) * self.faceAreas
       cellFaceWeightedNonOrthogonalities = numerix.take(faceWeightedNonOrthogonalities, self.cellFaceIDs)
       cellFaceAreas = numerix.take(self.faceAreas, self.cellFaceIDs)
       cellTotalWeightedValues = numerix.add.reduce(cellFaceWeightedNonOrthogonalities, axis = 0)  
       cellTotalFaceAreas = numerix.add.reduce(cellFaceAreas, axis = 0)
 
       return (cellTotalWeightedValues / cellTotalFaceAreas)
示例#4
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    def _nonOrthogonality(self):

        exteriorFaceArray = numerix.zeros((self.faceCellIDs.shape[1], ), 'l')
        numerix.put(exteriorFaceArray, numerix.nonzero(self.exteriorFaces), 1)
        unmaskedFaceCellIDs = MA.filled(self.faceCellIDs, 0)
        # what we put in for the "fill" doesn't matter because only exterior
        # faces have anything masked, and exterior faces have their displacement
        # vectors set to zero.
        #
        # if it's an exterior face, make the "displacement vector" equal to zero
        # so the cross product will be zero.

        faceDisplacementVectors = \
          numerix.where(numerix.array(zip(exteriorFaceArray, exteriorFaceArray)),
                        0.0,
                        numerix.take(self._scaledCellCenters.swapaxes(0,1),
                                     unmaskedFaceCellIDs[1, :]) \
                          - numerix.take(self._scaledCellCenters.swapaxes(0,1),
                        unmaskedFaceCellIDs[0, :]))

        faceDisplacementVectors = faceDisplacementVectors.swapaxes(0, 1)

        faceCrossProducts = (faceDisplacementVectors[0, :] * self.faceNormals[1,:]) \
          - (faceDisplacementVectors[1, :] * self.faceNormals[0, :])

        faceDisplacementVectorLengths = numerix.maximum(((faceDisplacementVectors[0, :] ** 2) \
          + (faceDisplacementVectors[1, :] ** 2)) ** 0.5, 1.e-100)

        faceWeightedNonOrthogonalities = abs(
            faceCrossProducts /
            faceDisplacementVectorLengths) * self._faceAreas

        cellFaceWeightedNonOrthogonalities = numerix.take(
            faceWeightedNonOrthogonalities, self.cellFaceIDs)

        cellFaceAreas = numerix.take(self._faceAreas, self.cellFaceIDs)
        cellTotalWeightedValues = numerix.add.reduce(
            cellFaceWeightedNonOrthogonalities, axis=0)
        cellTotalFaceAreas = numerix.add.reduce(cellFaceAreas, axis=0)

        return (cellTotalWeightedValues / cellTotalFaceAreas)
示例#5
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    def _calcFaceCellIDs(self):
        array = MA.array(MA.indices(self.cellFaceIDs.shape, 'l')[1],
                         mask=MA.getmask(self.cellFaceIDs))
        faceCellIDs = MA.zeros((2, self.numberOfFaces), 'l')

        ## Nasty bug: MA.put(arr, ids, values) fills its ids and
        ## values arguments when masked!  This was not the behavior
        ## that was assumed when used below.  It was only working
        ## because the old fill value was 0 and the first element of
        ## the array needed to be 0 since the cell's face was
        ## 0. numerix.put() has been changed to deal with this
        ## properly.

        ##         MA.put(firstRow, cellFaceIDsFlat[::-1], array[::-1])
        ##         MA.put(secondRow, cellFaceIDsFlat, array)
        firstRow = faceCellIDs[0]
        secondRow = faceCellIDs[1]

        numerix.put(firstRow, self.cellFaceIDs[::-1, ::-1], array[::-1, ::-1])
        numerix.put(secondRow, self.cellFaceIDs, array)

        mask = ((False, ) * self.numberOfFaces, (firstRow == secondRow))
        return MA.sort(MA.array(faceCellIDs, mask=mask), axis=0)
示例#6
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文件: mesh.py 项目: regmi/fipy
    def _calcFaceCellIDs(self):
        array = MA.array(MA.indices(self.cellFaceIDs.shape, 'l')[1], 
                         mask=MA.getmask(self.cellFaceIDs))
        self.faceCellIDs = MA.zeros((2, self.numberOfFaces), 'l')

        ## Nasty bug: MA.put(arr, ids, values) fills its ids and
        ## values arguments when masked!  This was not the behavior
        ## that was assumed when used below.  It was only working
        ## because the old fill value was 0 and the first element of
        ## the array needed to be 0 since the cell's face was
        ## 0. numerix.put() has been changed to deal with this
        ## properly.

##         MA.put(firstRow, cellFaceIDsFlat[::-1], array[::-1])
##         MA.put(secondRow, cellFaceIDsFlat, array)
        firstRow = self.faceCellIDs[0]
        secondRow = self.faceCellIDs[1]
        numerix.put(firstRow, self.cellFaceIDs[::-1,::-1], array[::-1,::-1])
        numerix.put(secondRow, self.cellFaceIDs, array)
        
        mask = ((False,) * self.numberOfFaces, (firstRow == secondRow))
        self.faceCellIDs = MA.sort(MA.array(self.faceCellIDs, mask = mask),
                                   axis=0)
示例#7
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    def _connectFaces(self, faces0, faces1):
        """

        Merge faces on the same mesh. This is used to create periodic
        meshes. The first list of faces, `faces1`, will be the faces
        that are used to add to the matrix diagonals. The faces in
        `faces2` will not be used. They aren't deleted but their
        adjacent cells are made to point at `faces1`. The list
        `faces2` are not altered, they still remain as members of
        exterior faces.

           >>> from fipy.meshes.nonUniformGrid2D import NonUniformGrid2D
           >>> mesh = NonUniformGrid2D(nx = 2, ny = 2, dx = 1., dy = 1.)

           >>> print((mesh.cellFaceIDs == [[0, 1, 2, 3],
           ...                             [7, 8, 10, 11],
           ...                             [2, 3, 4, 5],
           ...                             [6, 7, 9, 10]]).flatten().all()) # doctest: +PROCESSOR_0
           True

           >>> mesh._connectFaces(numerix.nonzero(mesh.facesLeft), numerix.nonzero(mesh.facesRight))

           >>> print((mesh.cellFaceIDs == [[0, 1, 2, 3],
           ...                             [7, 6, 10, 9],
           ...                             [2, 3, 4, 5],
           ...                             [6, 7, 9, 10]]).flatten().all()) # doctest: +PROCESSOR_0
           True

        """
        ## check for errors

        ## check that faces are members of exterior faces
        from fipy.variables.faceVariable import FaceVariable
        faces = FaceVariable(mesh=self, value=False)
        faces[faces0] = True
        faces[faces1] = True

        assert (faces | self.exteriorFaces == self.exteriorFaces).all()

        ## following assert checks number of faces are equal, normals are opposite and areas are the same
        assert numerix.allclose(numerix.take(self._areaProjections, faces0, axis=1),
                               numerix.take(-self._areaProjections, faces1, axis=1))

        ## extract the adjacent cells for both sets of faces
        faceCellIDs0 = self.faceCellIDs[0]
        faceCellIDs1 = self.faceCellIDs[1]
        ## set the new adjacent cells for `faces0`
        MA.put(faceCellIDs1, faces0, MA.take(faceCellIDs0, faces0))
        MA.put(faceCellIDs0, faces0, MA.take(faceCellIDs0, faces1))
        self.faceCellIDs[0] = faceCellIDs0
        self.faceCellIDs[1] = faceCellIDs1

        ## extract the face to cell distances for both sets of faces
        faceToCellDistances0 = self._faceToCellDistances[0]
        faceToCellDistances1 = self._faceToCellDistances[1]
        ## set the new faceToCellDistances for `faces0`
        MA.put(faceToCellDistances1, faces0, MA.take(faceToCellDistances0, faces0))
        MA.put(faceToCellDistances0, faces0, MA.take(faceToCellDistances0, faces1))

        self._faceToCellDistances[0] = faceToCellDistances0
        self._faceToCellDistances[1] = faceToCellDistances1

        ## calculate new cell distances and add them to faces0
        numerix.put(self._cellDistances, faces0, MA.take(faceToCellDistances0 + faceToCellDistances1, faces0))

        ## change the direction of the face normals for faces0
        for dim in range(self.dim):
            faceNormals = self.faceNormals[dim].copy()
            numerix.put(faceNormals, faces0, MA.take(faceNormals, faces1))
            self.faceNormals[dim] = faceNormals

        ## Cells that are adjacent to faces1 are changed to point at faces0
        ## get the cells adjacent to faces1
        faceCellIDs = MA.take(self.faceCellIDs[0], faces1)
        ## get all the adjacent faces for those particular cells
        cellFaceIDs = numerix.take(self.cellFaceIDs, faceCellIDs, axis=1)
        for i in range(cellFaceIDs.shape[0]):
            ## if the faces is a member of faces1 then change the face to point at
            ## faces0
            cellFaceIDs[i] = MA.where(cellFaceIDs[i] == faces1,
                                      faces0,
                                      cellFaceIDs[i])
            ## add those faces back to the main self.cellFaceIDs
            numerix.put(self.cellFaceIDs[i], faceCellIDs, cellFaceIDs[i])

        ## calculate new topology
        self._setTopology()

        ## calculate new geometry
        self._handleFaceConnection()

        self.scale = self.scale['length']
示例#8
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    def _getStructure(self):

        ##maxX = self.distanceVar.mesh.faceCenters[0].max()
        ##minX = self.distanceVar.mesh.faceCenters[0].min()

        IDs = numerix.nonzero(self.distanceVar._cellInterfaceFlag)[0]
        coordinates = numerix.take(numerix.array(self.distanceVar.mesh.cellCenters).swapaxes(0, 1), IDs)

        coordinates -= numerix.take(numerix.array(self.distanceVar.grad * self.distanceVar).swapaxes(0, 1), IDs)

        coordinates *= self.zoomFactor

        shiftedCoords = coordinates.copy()
        shiftedCoords[:, 0] = -coordinates[:, 0] ##+ (maxX - minX)
        coordinates = numerix.concatenate((coordinates, shiftedCoords))

        from .lines import _getOrderedLines

        lines = _getOrderedLines(list(range(2 * len(IDs))), coordinates, thresholdDistance = self.distanceVar.mesh._cellDistances.min() * 10)

        data = numerix.take(self.surfactantVar, IDs)

        data = numerix.concatenate((data, data))

        tmpIDs = numerix.nonzero(data > 0.0001)[0]
        if len(tmpIDs) > 0:
            val = numerix.take(data, tmpIDs).min()
        else:
            val = 0.0001

        data = numerix.where(data < 0.0001,
                             val,
                             data)

        for line in lines:
            if len(line) > 2:
                for smooth in range(self.smooth):
                    for arr in (coordinates, data):
                        tmp = numerix.take(arr, line)
                        tmp[1:-1] = tmp[2:] * 0.25 + tmp[:-2] * 0.25 + tmp[1:-1] * 0.5
                        if len(arr.shape) > 1:
                            for i in range(len(arr[0])):
                                arrI = arr[:, i].copy()
                                numerix.put(arrI, line, tmp[:, i])
                                arr[:, i] = arrI
                        else:
                            numerix.put(arrI, line, tmp)

        name = self.title
        name = name.strip()
        if name == '':
            name = None

        coords = numerix.zeros((coordinates.shape[0], 3), 'd')
        coords[:, :coordinates.shape[1]] = coordinates

        import pyvtk

        ## making lists as pyvtk doesn't know what to do with numpy arrays

        coords = list(coords)
        coords = [[float(coord[0]), float(coord[1]), float(coord[2])] for coord in coords]

        data = list(data)
        data = [float(item) for item in data]

        return (pyvtk.UnstructuredGrid(points = coords,
                                       poly_line = lines),
                pyvtk.PointData(pyvtk.Scalars(data, name = name)))
示例#9
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    def _getStructure(self):

        ##maxX = self.distanceVar.mesh.faceCenters[0].max()
        ##minX = self.distanceVar.mesh.faceCenters[0].min()

        IDs = numerix.nonzero(self.distanceVar._cellInterfaceFlag)[0]
        coordinates = numerix.take(
            numerix.array(self.distanceVar.mesh.cellCenters).swapaxes(0, 1),
            IDs)

        coordinates -= numerix.take(
            numerix.array(self.distanceVar.grad * self.distanceVar).swapaxes(
                0, 1), IDs)

        coordinates *= self.zoomFactor

        shiftedCoords = coordinates.copy()
        shiftedCoords[:, 0] = -coordinates[:, 0]  ##+ (maxX - minX)
        coordinates = numerix.concatenate((coordinates, shiftedCoords))

        from lines import _getOrderedLines

        lines = _getOrderedLines(
            range(2 * len(IDs)),
            coordinates,
            thresholdDistance=self.distanceVar.mesh._cellDistances.min() * 10)

        data = numerix.take(self.surfactantVar, IDs)

        data = numerix.concatenate((data, data))

        tmpIDs = numerix.nonzero(data > 0.0001)[0]
        if len(tmpIDs) > 0:
            val = numerix.take(data, tmpIDs).min()
        else:
            val = 0.0001

        data = numerix.where(data < 0.0001, val, data)

        for line in lines:
            if len(line) > 2:
                for smooth in range(self.smooth):
                    for arr in (coordinates, data):
                        tmp = numerix.take(arr, line)
                        tmp[1:-1] = tmp[2:] * 0.25 + tmp[:-2] * 0.25 + tmp[
                            1:-1] * 0.5
                        if len(arr.shape) > 1:
                            for i in range(len(arr[0])):
                                arrI = arr[:, i].copy()
                                numerix.put(arrI, line, tmp[:, i])
                                arr[:, i] = arrI
                        else:
                            numerix.put(arrI, line, tmp)

        name = self.title
        name = name.strip()
        if name == '':
            name = None

        coords = numerix.zeros((coordinates.shape[0], 3), 'd')
        coords[:, :coordinates.shape[1]] = coordinates

        import pyvtk

        ## making lists as pyvtk doesn't know what to do with numpy arrays

        coords = list(coords)
        coords = map(
            lambda coord: [float(coord[0]),
                           float(coord[1]),
                           float(coord[2])], coords)

        data = list(data)
        data = map(lambda item: float(item), data)

        return (pyvtk.UnstructuredGrid(points=coords, poly_line=lines),
                pyvtk.PointData(pyvtk.Scalars(data, name=name)))
def putIntoCellVariable(c, C):
    nxyz = C[0].shape[0]
    for i in range(len(C)):
        numerix.put(C[i], np.arange(nxyz), c[i * nxyz:(i + 1) * nxyz])
    return C
示例#11
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文件: mesh.py 项目: regmi/fipy
    def _connectFaces(self, faces0, faces1):
        """
        
        Merge faces on the same mesh. This is used to create periodic
        meshes. The first list of faces, `faces1`, will be the faces
        that are used to add to the matrix diagonals. The faces in
        `faces2` will not be used. They aren't deleted but their
        adjacent cells are made to point at `faces1`. The list
        `faces2` are not altered, they still remain as members of
        exterior faces.

           >>> from fipy.meshes.numMesh.grid2D import Grid2D
           >>> mesh = Grid2D(nx = 2, ny = 2, dx = 1., dy = 1.)

           >>> from fipy.tools import parallel
           >>> print parallel.procID != 0 or (mesh._getCellFaceIDs() == [[0, 1, 2, 3],
           ...                                                           [7, 8, 10, 11],
           ...                                                           [2, 3, 4, 5],
           ...                                                           [6, 7, 9, 10]]).flatten().all()
           True

           >>> mesh._connectFaces(numerix.nonzero(mesh.getFacesLeft()), numerix.nonzero(mesh.getFacesRight()))

           >>> print parallel.procID != 0 or (mesh._getCellFaceIDs() == [[0, 1, 2, 3],
           ...                                                           [7, 6, 10, 9],
           ...                                                           [2, 3, 4, 5],
           ...                                                           [6, 7, 9, 10]]).flatten().all()
           True

        """

        ## check for errors

        ## check that faces are members of exterior faces
        from fipy.variables.faceVariable import FaceVariable
        faces = FaceVariable(mesh=self, value=False)
        faces[faces0] = True
        faces[faces1] = True
        assert (faces | self.getExteriorFaces() == self.getExteriorFaces()).all()

        ## following assert checks number of faces are equal, normals are opposite and areas are the same
        assert numerix.alltrue(numerix.take(self.areaProjections, faces0, axis=1) 
                               == numerix.take(-self.areaProjections, faces1, axis=1))

        ## extract the adjacent cells for both sets of faces
        faceCellIDs0 = self.faceCellIDs[0]
        faceCellIDs1 = self.faceCellIDs[1]
        ## set the new adjacent cells for `faces0`
        MA.put(faceCellIDs1, faces0, MA.take(faceCellIDs0, faces0))
        MA.put(faceCellIDs0, faces0, MA.take(faceCellIDs0, faces1))
        self.faceCellIDs[0] = faceCellIDs0
        self.faceCellIDs[1] = faceCellIDs1
        
        ## extract the face to cell distances for both sets of faces
        faceToCellDistances0 = self.faceToCellDistances[0]
        faceToCellDistances1 = self.faceToCellDistances[1]
        ## set the new faceToCellDistances for `faces0`
        MA.put(faceToCellDistances1, faces0, MA.take(faceToCellDistances0, faces0))
        MA.put(faceToCellDistances0, faces0, MA.take(faceToCellDistances0, faces1))
        self.faceToCellDistances[0] = faceToCellDistances0
        self.faceToCellDistances[1] = faceToCellDistances1

        ## calculate new cell distances and add them to faces0
        numerix.put(self.cellDistances, faces0, MA.take(faceToCellDistances0 + faceToCellDistances1, faces0))

        ## change the direction of the face normals for faces0
        for dim in range(self.getDim()):
            faceNormals = self.faceNormals[dim].copy()
            numerix.put(faceNormals, faces0, MA.take(faceNormals, faces1))
            self.faceNormals[dim] = faceNormals

        ## Cells that are adjacent to faces1 are changed to point at faces0
        ## get the cells adjacent to faces1
        faceCellIDs = MA.take(self.faceCellIDs[0], faces1)
        ## get all the adjacent faces for those particular cells
        cellFaceIDs = numerix.take(self.cellFaceIDs, faceCellIDs, axis=1)
        for i in range(cellFaceIDs.shape[0]):
            ## if the faces is a member of faces1 then change the face to point at
            ## faces0
            cellFaceIDs[i] = MA.where(cellFaceIDs[i] == faces1,
                                      faces0,
                                      cellFaceIDs[i])
            ## add those faces back to the main self.cellFaceIDs
            tmp = self.cellFaceIDs[i]
            numerix.put(tmp, faceCellIDs, cellFaceIDs[i])
            self.cellFaceIDs[i] = tmp

        ## calculate new topology
        _CommonMesh._calcTopology(self)

        ## calculate new geometry
        self._calcFaceToCellDistanceRatio()
        self._calcCellToCellDistances()
        self._calcScaledGeometry()
        self._calcFaceAspectRatios()
示例#12
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文件: variable.py 项目: regmi/fipy
 def put(self, indices, value):
     if self.value is None:
         self.getValue()
     numerix.put(self.value, indices, value)
     self._markFresh()
示例#13
0
    def _connectFaces(self, faces0, faces1):
        """

        Merge faces on the same mesh. This is used to create periodic
        meshes. The first list of faces, `faces1`, will be the faces
        that are used to add to the matrix diagonals. The faces in
        `faces2` will not be used. They aren't deleted but their
        adjacent cells are made to point at `faces1`. The list
        `faces2` are not altered, they still remain as members of
        exterior faces.

           >>> from fipy.meshes.nonUniformGrid2D import NonUniformGrid2D
           >>> mesh = NonUniformGrid2D(nx = 2, ny = 2, dx = 1., dy = 1.)

           >>> print((mesh.cellFaceIDs == [[0, 1, 2, 3],
           ...                             [7, 8, 10, 11],
           ...                             [2, 3, 4, 5],
           ...                             [6, 7, 9, 10]]).flatten().all()) # doctest: +PROCESSOR_0
           True

           >>> mesh._connectFaces(numerix.nonzero(mesh.facesLeft), numerix.nonzero(mesh.facesRight))

           >>> print((mesh.cellFaceIDs == [[0, 1, 2, 3],
           ...                             [7, 6, 10, 9],
           ...                             [2, 3, 4, 5],
           ...                             [6, 7, 9, 10]]).flatten().all()) # doctest: +PROCESSOR_0
           True

        """
        ## check for errors

        ## check that faces are members of exterior faces
        from fipy.variables.faceVariable import FaceVariable
        faces = FaceVariable(mesh=self, value=False)
        faces[faces0] = True
        faces[faces1] = True

        assert (faces | self.exteriorFaces == self.exteriorFaces).all()

        ## following assert checks number of faces are equal, normals are opposite and areas are the same
        assert numerix.allclose(numerix.take(self._areaProjections, faces0, axis=1),
                               numerix.take(-self._areaProjections, faces1, axis=1))

        ## extract the adjacent cells for both sets of faces
        faceCellIDs0 = self.faceCellIDs[0]
        faceCellIDs1 = self.faceCellIDs[1]
        ## set the new adjacent cells for `faces0`
        MA.put(faceCellIDs1, faces0, MA.take(faceCellIDs0, faces0))
        MA.put(faceCellIDs0, faces0, MA.take(faceCellIDs0, faces1))
        self.faceCellIDs[0] = faceCellIDs0
        self.faceCellIDs[1] = faceCellIDs1

        ## extract the face to cell distances for both sets of faces
        faceToCellDistances0 = self._faceToCellDistances[0]
        faceToCellDistances1 = self._faceToCellDistances[1]
        ## set the new faceToCellDistances for `faces0`
        MA.put(faceToCellDistances1, faces0, MA.take(faceToCellDistances0, faces0))
        MA.put(faceToCellDistances0, faces0, MA.take(faceToCellDistances0, faces1))

        self._faceToCellDistances[0] = faceToCellDistances0
        self._faceToCellDistances[1] = faceToCellDistances1

        ## calculate new cell distances and add them to faces0
        numerix.put(self._cellDistances, faces0, MA.take(faceToCellDistances0 + faceToCellDistances1, faces0))

        ## change the direction of the face normals for faces0
        for dim in range(self.dim):
            faceNormals = self.faceNormals[dim].copy()
            numerix.put(faceNormals, faces0, MA.take(faceNormals, faces1))
            self.faceNormals[dim] = faceNormals

        ## Cells that are adjacent to faces1 are changed to point at faces0
        ## get the cells adjacent to faces1
        faceCellIDs = MA.take(self.faceCellIDs[0], faces1)
        ## get all the adjacent faces for those particular cells
        cellFaceIDs = numerix.take(self.cellFaceIDs, faceCellIDs, axis=1)
        for i in range(cellFaceIDs.shape[0]):
            ## if the faces is a member of faces1 then change the face to point at
            ## faces0
            cellFaceIDs[i] = MA.where(cellFaceIDs[i] == faces1,
                                      faces0,
                                      cellFaceIDs[i])
            ## add those faces back to the main self.cellFaceIDs
            numerix.put(self.cellFaceIDs[i], faceCellIDs, cellFaceIDs[i])

        ## calculate new topology
        self._setTopology()

        ## calculate new geometry
        self._handleFaceConnection()

        self.scale = self.scale['length']