예제 #1
0
def generateUnaryLinearizedCode(predefined,
                                testFunctions,
                                trialFunctions,
                                tensorMap,
                                tempVars=True):
    var = Variable('std::tuple< RangeType, JacobianRangeType >', 'phi')
    if tensorMap is None:
        values = []
        for phi in testFunctions:
            value = tensors.fill(phi.ufl_shape, None)
            value = tensors.apply(lambda v: makeExpression(0), phi.ufl_shape,
                                  value)
            values += [
                tensors.reformat(lambda row: InitializerList(*row),
                                 phi.ufl_shape, value)
            ]
        return [return_(lambda_(args=['const DomainValueType &phi'],\
                  code=return_(construct('RangeValueType',*values,
                    brace=True)) ))]

    preamble, values = generateLinearizedCode(predefined,
                                              testFunctions,
                                              {var: trialFunctions},
                                              tensorMap,
                                              tempVars=tempVars)
    capture = extractVariablesFromExpressions(values[var]) - {var}
    return preamble + [
        return_(
            lambda_(capture=capture,
                    args=['const DomainValueType &phi'],
                    code=return_(
                        construct('RangeValueType', *values[var],
                                  brace=True))))
    ]
예제 #2
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def generateBinaryLinearizedCode(predefined,
                                 testFunctions,
                                 trialFunctions,
                                 tensorMap,
                                 tempVars=True):
    restrictedTestFunctions = [phi('+') for phi in testFunctions
                               ] + [phi('-') for phi in testFunctions]

    trialFunctionsIn = [psi('+') for psi in trialFunctions]
    trialFunctionsOut = [psi('-') for psi in trialFunctions]

    if tensorMap is None:
        value = construct('RangeValueType',
                          *[0 for i in range(len(testFunctions))],
                          brace=True)
        tensorIn = lambda_(args=['const DomainValueType &phiIn'],
                           code=return_(make_pair(value, value)))
        tensorOut = lambda_(args=['const DomainValueType &phiOut'],
                            code=return_(make_pair(value, value)))
        return [return_(make_pair(tensorIn, tensorOut))]

    varIn = Variable('std::tuple< RangeType, JacobianRangeType >', 'phiIn')
    varOut = Variable('std::tuple< RangeType, JacobianRangeType >', 'phiOut')
    preamble, values = generateLinearizedCode(predefined,
                                              restrictedTestFunctions, {
                                                  varIn: trialFunctionsIn,
                                                  varOut: trialFunctionsOut
                                              },
                                              tensorMap,
                                              tempVars=tempVars)

    captureIn = extractVariablesFromExpressions(values[varIn]) - {varIn}
    captureOut = extractVariablesFromExpressions(values[varOut]) - {varOut}

    tensorIn = lambda_(capture=captureIn,
                       args=['const DomainValueType &phiIn'],
                       code=return_(
                           make_pair(
                               construct('RangeValueType',
                                         *values[varIn][:len(testFunctions)],
                                         brace=True),
                               construct('RangeValueType',
                                         *values[varIn][len(testFunctions):],
                                         brace=True))))
    tensorOut = lambda_(capture=captureOut,
                        args=['const DomainValueType &phiOut'],
                        code=return_(
                            make_pair(
                                construct('RangeValueType',
                                          *values[varOut][:len(testFunctions)],
                                          brace=True),
                                construct('RangeValueType',
                                          *values[varOut][len(testFunctions):],
                                          brace=True))))

    return preamble + [return_(make_pair(tensorIn, tensorOut))]
예제 #3
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def generateBinaryCode(predefined, testFunctions, tensorMap, tempVars=True):
    restrictedTestFunctions = [phi('+') for phi in testFunctions
                               ] + [phi('-') for phi in testFunctions]
    preamble, values = generateCode(predefined,
                                    restrictedTestFunctions,
                                    tensorMap,
                                    tempVars=tempVars)
    return preamble + [
        return_(
            make_pair(
                construct('RangeValueType',
                          *values[:len(testFunctions)],
                          brace=True),
                construct('RangeValueType',
                          *values[len(testFunctions):],
                          brace=True)))
    ]
예제 #4
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def generateUnaryCode(predefined, testFunctions, tensorMap, tempVars=True):
    preamble, values = generateCode(predefined,
                                    testFunctions,
                                    tensorMap,
                                    tempVars=tempVars)
    return preamble + [
        return_(construct('RangeValueType', *values, brace=True))
    ]
예제 #5
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    def __init__(self, dimDomain, dimRange, u, signature):
        assert isInteger(dimRange)
        self.dimDomain = dimDomain
        self.dimRange = dimRange
        self.trialFunction = u
        self.init = []
        self.vars = None
        self.signature = signature + ConservationLawModel.version
        self.field = "double"

        self._constants = []
        self._constantNames = {}
        self._parameterNames = {}
        self._coefficients = []

        self.arg_r = Variable("RRangeType &", "result")
        self.arg_dr = Variable("RJacobianRangeType &", "result")

        self.arg_x = Variable("const Point &", "x")
        self.arg_u = Variable("const DRangeType &", "u")
        self.arg_du = Variable("const DJacobianRangeType &", "du")
        self.arg_d2u = Variable("const DHessianRangeType &", "d2u")
        self.arg_ubar = Variable("const DRangeType &", "ubar")
        self.arg_dubar = Variable("const DJacobianRangeType &", "dubar")
        self.arg_d2ubar = Variable("const DHessianRangeType &", "d2ubar")

        self.arg_i = Variable("const IntersectionType &", "intersection")
        self.arg_bndId = Variable("int", "bndId")

        self.source = [assign(self.arg_r, construct("RRangeType", 0))]
        self.linSource = [assign(self.arg_r, construct("RRangeType", 0))]
        self.flux = [assign(self.arg_dr, construct("RJacobianRangeType", 0))]
        self.linFlux = [
            assign(self.arg_dr, construct("RJacobianRangeType", 0))
        ]
        self.fluxDivergence = [assign(self.arg_r, construct("RRangeType", 0))]
        self.alpha = [assign(self.arg_r, construct("RRangeType", 0))]
        self.linAlpha = [assign(self.arg_r, construct("RRangeType", 0))]

        self.hasDirichletBoundary = False
        self.hasNeumanBoundary = False
        self.isDirichletIntersection = [return_(False)]
        self.dirichlet = [assign(self.arg_r, construct("RRangeType", 0))]
        self.symmetric = False

        self.baseName = "conservationlaw"
        self.modelWrapper = "ConservationLawModelWrapper< Model >"
예제 #6
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def generateMethodBody(cppType, expr, returnResult, default, predefined):
    if expr is not None and not expr == [None]:
        try:
            dimR = expr.ufl_shape[0]
        except:
            if isinstance(expr,list) or isinstance(expr,tuple):
                expr = as_vector(expr)
            else:
                expr = as_vector([expr])
            dimR = expr.ufl_shape[0]

        _, coeff = extract_arguments_and_coefficients(expr)
        coeff = {c : c.toVectorCoefficient()[0] for c in coeff if len(c.ufl_shape) == 0 and not c.is_cellwise_constant()}
        expr = replace(expr, coeff)

        t = ExprTensor(expr.ufl_shape) # , exprTensorApply(lambda u: u, expr.ufl_shape, expr))
        expression = [expr[i] for i in t.keys()]
        u = extract_arguments_and_coefficients(expr)[0]
        if u != []:
            u = u[0]
            du = Grad(u)
            d2u = Grad(du)
            arg_u = Variable("const RangeType &", "u")
            arg_du = Variable("const JacobianRangeType &", "du")
            arg_d2u = Variable("const HessianRangeType &", "d2u")
            predefined.update( {u: arg_u, du: arg_du, d2u: arg_d2u} )
        code, results = generateCode(predefined, expression, tempVars=False)
        result = Variable(cppType, 'result')
        if cppType == 'double':
            code = code + [assign(result, results[0])]
        else:
            code = code + [assign(result[i], r) for i, r in zip(t.keys(), results)]
        if returnResult:
            code = [Declaration(result)] + code + [return_(result)]
    else:
        result = Variable(cppType, 'result')
        code = [assign(result, construct(cppType,default) )]
        if returnResult:
            code = [Declaration(result)] + code + [return_(result)]
    return code
예제 #7
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def compileUFL(form, patch, *args, **kwargs):
    if isinstance(form, Equation):
        form = form.lhs - form.rhs
    if not isinstance(form, Form):
        raise Exception("ufl.Form expected.")
    if len(form.arguments()) < 2:
        raise Exception("ConservationLaw model requires form with at least two arguments.")

    phi_, u_ = form.arguments()

    if phi_.ufl_function_space().scalar:
        phi = TestFunction(phi_.ufl_function_space().toVectorSpace())
        form = replace(form,{phi_:phi[0]})
    else:
        phi = phi_
    if u_.ufl_function_space().scalar:
        u = TrialFunction(u_.ufl_function_space().toVectorSpace())
        form = replace(form,{u_:u[0]})
    else:
        u = u_
    _, coeff_ = extract_arguments_and_coefficients(form)
    coeff_ = set(coeff_)

    # added for dirichlet treatment same as conservationlaw model
    dirichletBCs = [arg for arg in args if isinstance(arg, DirichletBC)]
    # remove the dirichletBCs
    arg = [arg for arg in args if not isinstance(arg, DirichletBC)]
    for dBC in dirichletBCs:
        _, coeff__ = extract_arguments_and_coefficients(dBC.ufl_value)
        coeff_ |= set(coeff__)
    if patch is not None:
        for a in patch:
            try:
                _, coeff__ = extract_arguments_and_coefficients(a)
                coeff_ |= set(coeff__)
            except:
                pass # a might be a float/int and not a ufl expression

    coeff = {c : c.toVectorCoefficient()[0] for c in coeff_ if len(c.ufl_shape) == 0 and not c.is_cellwise_constant()}
    form = replace(form,coeff)
    for bc in dirichletBCs:
        bc.ufl_value = replace(bc.ufl_value, coeff)
    if patch is not None:
        patch = [a if not isinstance(a, Expr) else replace(a,coeff) for a in patch]

    phi = form.arguments()[0]
    dimRange = phi.ufl_shape[0]

    u = form.arguments()[1]
    du = Grad(u)
    d2u = Grad(du)
    ubar = Coefficient(u.ufl_function_space())
    dubar = Grad(ubar)
    d2ubar = Grad(dubar)
    dimDomain = u.ufl_shape[0]

    x = SpatialCoordinate(form.ufl_cell())

    try:
        field = u.ufl_function_space().field
    except AttributeError:
        field = "double"

    # if exact solution is passed in subtract a(u,.) from the form
    if "exact" in kwargs:
        b = replace(form, {u: as_vector(kwargs["exact"])} )
        form = form - b

    dform = apply_derivatives(derivative(action(form, ubar), ubar, u))

    source, flux, boundarySource = splitUFLForm(form)
    linSource, linFlux, linBoundarySource = splitUFLForm(dform)
    fluxDivergence, _, _ = splitUFLForm(inner(source.as_ufl() - div(flux.as_ufl()), phi) * dx(0))

    # split linNVSource off linSource
    # linSources = splitUFL2(u, du, d2u, linSource)
    # linNVSource = linSources[2]
    # linSource = linSources[0] + linSources[1]

    if patch is not None:
        model = ConservationLawModel(dimDomain, dimRange, u, modelSignature(form,*patch,*args))
    else:
        model = ConservationLawModel(dimDomain, dimRange, u, modelSignature(form,None,*args))
    model._replaceCoeff = coeff

    model.hasNeumanBoundary = not boundarySource.is_zero()

    #expandform = expand_indices(expand_derivatives(expand_compounds(equation.lhs)))
    #if expandform == adjoint(expandform):
    #    model.symmetric = 'true'
    model.field = field

    dirichletBCs = [arg for arg in args if isinstance(arg, DirichletBC)]
    # deprecated
    # if "dirichlet" in kwargs:
    #     dirichletBCs += [DirichletBC(u.ufl_function_space(), as_vector(value), bndId) for bndId, value in kwargs["dirichlet"].items()]

    uflCoefficients = set(form.coefficients())
    for bc in dirichletBCs:
        _, c = extract_arguments_and_coefficients(bc.ufl_value)
        uflCoefficients |= set(c)
    if patch is not None:
        for a in patch:
            if isinstance(a, Expr):
                _, c = extract_arguments_and_coefficients(a)
                uflCoefficients |= set(c)

    constants = dict()
    coefficients = dict()

    for coefficient in uflCoefficients:
        try:
            name = getattr(coefficient, "name")
        except AttributeError:
            name = str(coefficient)
        if coefficient.is_cellwise_constant():
            try:
                parameter = getattr(coefficient, "parameter")
            except AttributeError:
                parameter = None
            if len(coefficient.ufl_shape) == 0:
                constants[coefficient] = model.addConstant('double', name=name, parameter=parameter)
            elif len(coefficient.ufl_shape) == 1:
                constants[coefficient] = model.addConstant('Dune::FieldVector< double, ' + str(coefficient.ufl_shape[0]) + ' >', name=name, parameter=parameter)
            else:
                Exception('Currently, only scalars and vectors are supported as constants')
        else:
            shape = coefficient.ufl_shape[0]
            try:
                coefficients[coefficient] = model.addCoefficient(
                        shape,
                        coefficient.cppTypeName,
                        name=name,
                        field=coefficient.ufl_function_space().field)
            except AttributeError:
                coefficients[coefficient] = model.addCoefficient(
                        shape,
                        coefficient.cppTypeName,
                        name=name)

    model.coefficients = coefficients
    model.constants = constants

    tempVars = kwargs.get("tempVars", True)

    predefined = {u: model.arg_u, du: model.arg_du, d2u: model.arg_d2u}
    predefined[x] = UnformattedExpression('auto', 'entity().geometry().global( Dune::Fem::coordinate( ' + model.arg_x.name + ' ) )')
    model.predefineCoefficients(predefined,'x')
    model.source = generateCode(predefined, source, tempVars=tempVars)
    model.flux = generateCode(predefined, flux, tempVars=tempVars)
    predefined.update({ubar: model.arg_ubar, dubar: model.arg_dubar, d2ubar: model.arg_d2ubar})
    model.linSource = generateCode(predefined, linSource, tempVars=tempVars)
    model.linFlux = generateCode(predefined, linFlux, tempVars=tempVars)

    # model.linNVSource = generateCode({u: arg, du: darg, d2u: d2arg, ubar: argbar, dubar: dargbar, d2ubar: d2argbar}, linNVSource, model.coefficients, tempVars)

    predefined = {u: model.arg_u}
    predefined[x] = UnformattedExpression('auto', 'entity().geometry().global( Dune::Fem::coordinate( ' + model.arg_x.name + ' ) )')
    model.predefineCoefficients(predefined,'x')
    model.alpha = generateCode(predefined, boundarySource, tempVars=tempVars)
    predefined.update({ubar: model.arg_ubar})
    model.linAlpha = generateCode(predefined, linBoundarySource, tempVars=tempVars)

    predefined = {u: model.arg_u, du: model.arg_du, d2u: model.arg_d2u}
    predefined[x] = UnformattedExpression('auto', 'entity().geometry().global( Dune::Fem::coordinate( ' + model.arg_x.name + ' ) )')
    model.predefineCoefficients(predefined,'x')
    model.fluxDivergence = generateCode(predefined, fluxDivergence, tempVars=tempVars)

    if dirichletBCs:
        model.hasDirichletBoundary = True

        predefined = {}
        predefined[x] = UnformattedExpression('auto', 'entity().geometry().global( Dune::Fem::coordinate( ' + model.arg_x.name + ' ) )')
        model.predefineCoefficients(predefined,'x')

        maxId = 0
        codeDomains = []
        bySubDomain = dict()
        neuman = []
        for bc in dirichletBCs:
            if bc.subDomain in bySubDomain:
                raise Exception('Multiply defined Dirichlet boundary for subdomain ' + str(bc.subDomain))
            if not isinstance(bc.functionSpace, (FunctionSpace, FiniteElementBase)):
                raise Exception('Function space must either be a ufl.FunctionSpace or a ufl.FiniteElement')
            if isinstance(bc.functionSpace, FunctionSpace) and (bc.functionSpace != u.ufl_function_space()):
                raise Exception('Space of trial function and dirichlet boundary function must be the same - note that boundary conditions on subspaces are not available, yet')
            if isinstance(bc.functionSpace, FiniteElementBase) and (bc.functionSpace != u.ufl_element()):
                raise Exception('Cannot handle boundary conditions on subspaces, yet')

            if isinstance(bc.value, list):
                neuman = [i for i, x in enumerate(bc.value) if x == None]
            else:
                neuman = []

            value = ExprTensor(u.ufl_shape)
            for key in value.keys():
                value[key] = Indexed(bc.ufl_value, MultiIndex(tuple(FixedIndex(k) for k in key)))
            if isinstance(bc.subDomain,int):
                bySubDomain[bc.subDomain] = value,neuman
                maxId = max(maxId, bc.subDomain)
            else:
                domain = ExprTensor(())
                for key in domain.keys():
                    domain[key] = Indexed(bc.subDomain, MultiIndex(tuple(FixedIndex(k) for k in key)))
                codeDomains.append( (value,neuman,domain) )
        defaultCode = []
        defaultCode.append(Declaration(Variable('int', 'domainId')))
        defaultCode.append(Declaration(Variable('auto', 'tmp0'),
            initializer=UnformattedExpression('auto','intersection.geometry().center()')))
        for i,v in enumerate(codeDomains):
            block = Block()
            defaultCode.append(
                    generateDirichletDomainCode(predefined, v[2], tempVars=tempVars))
            defaultCode.append('if (domainId)')
            block = UnformattedBlock()
            block.append('std::fill( dirichletComponent.begin(), dirichletComponent.end(), ' + str(maxId+i+1) + ' );')
            if len(v[1])>0:
                [block.append('dirichletComponent[' + str(c) + '] = 0;') for c in v[1]]
            block.append('return true;')
            defaultCode.append(block)
        defaultCode.append(return_(False))

        bndId = Variable('const int', 'bndId')
        getBndId = UnformattedExpression('int', 'BoundaryIdProviderType::boundaryId( ' + model.arg_i.name + ' )')
        switch = SwitchStatement(bndId, default=defaultCode)
        for i,v in bySubDomain.items():
            code = []
            if len(v[1])>0:
                [code.append('dirichletComponent[' + str(c) + '] = 0;') for c in v[1]]
            code.append(return_(True))
            switch.append(i, code)
        model.isDirichletIntersection = [Declaration(bndId, initializer=getBndId),
                                         UnformattedBlock('std::fill( dirichletComponent.begin(), dirichletComponent.end(), ' + bndId.name + ' );'),
                                         switch
                                        ]

        switch = SwitchStatement(model.arg_bndId, default=assign(model.arg_r, construct("RRangeType", 0)))
        for i, v in bySubDomain.items():
            switch.append(i, generateDirichletCode(predefined, v[0], tempVars=tempVars))
        for i,v in enumerate(codeDomains):
            switch.append(i+maxId+1, generateDirichletCode(predefined, v[0], tempVars=tempVars))
        model.dirichlet = [switch]

    return model
예제 #8
0
def _compileUFL(integrands, form, *args, tempVars=True):
    if isinstance(form, Equation):
        form = form.lhs - form.rhs
    if not isinstance(form, Form):
        raise ValueError("ufl.Form or ufl.Equation expected.")

    # added for dirichlet treatment same as conservationlaw model
    dirichletBCs = [arg for arg in args if isinstance(arg, DirichletBC)]

    uflExpr = [form] + [bc.ufl_value for bc in dirichletBCs]
    if len(form.arguments()) < 2:
        raise ValueError(
            "Integrands model requires form with at least two arguments.")

    x = SpatialCoordinate(form.ufl_cell())
    n = FacetNormal(form.ufl_cell())

    cellVolume = CellVolume(form.ufl_cell())
    maxCellEdgeLength = MaxCellEdgeLength(form.ufl_cell())
    minCellEdgeLength = MinCellEdgeLength(form.ufl_cell())

    facetArea = FacetArea(form.ufl_cell())
    maxFacetEdgeLength = MaxFacetEdgeLength(form.ufl_cell())
    minFacetEdgeLength = MinFacetEdgeLength(form.ufl_cell())

    phi, u = form.arguments()
    ubar = Coefficient(u.ufl_function_space())

    derivatives = gatherDerivatives(form, [phi, u])

    derivatives_phi = derivatives[0]
    derivatives_u = derivatives[1]
    derivatives_ubar = map_expr_dags(Replacer({u: ubar}), derivatives_u)

    try:
        integrands.field = u.ufl_function_space().field
    except AttributeError:
        pass

    integrals = splitForm(form, [phi])

    dform = apply_derivatives(derivative(action(form, ubar), ubar, u))
    linearizedIntegrals = splitForm(dform, [phi, u])

    if not set(
            integrals.keys()) <= {'cell', 'exterior_facet', 'interior_facet'}:
        raise Exception('unknown integral encountered in ' +
                        str(set(integrals.keys())) + '.')

    if 'cell' in integrals.keys():
        arg = Variable(integrands.domainValueTuple, 'u')

        predefined = {
            derivatives_u[i]: arg[i]
            for i in range(len(derivatives_u))
        }
        predefined[x] = integrands.spatialCoordinate('x')
        predefined[cellVolume] = integrands.cellVolume()
        predefined[maxCellEdgeLength] = maxEdgeLength(
            integrands.cellGeometry())
        predefined[minCellEdgeLength] = minEdgeLength(
            integrands.cellGeometry())
        integrands.predefineCoefficients(predefined, False)
        integrands.interior = generateUnaryCode(predefined,
                                                derivatives_phi,
                                                integrals['cell'],
                                                tempVars=tempVars)

        predefined = {
            derivatives_ubar[i]: arg[i]
            for i in range(len(derivatives_u))
        }
        predefined[x] = integrands.spatialCoordinate('x')
        predefined[cellVolume] = integrands.cellVolume()
        predefined[maxCellEdgeLength] = maxEdgeLength(
            integrands.cellGeometry())
        predefined[minCellEdgeLength] = minEdgeLength(
            integrands.cellGeometry())
        integrands.predefineCoefficients(predefined, False)
        integrands.linearizedInterior = generateUnaryLinearizedCode(
            predefined,
            derivatives_phi,
            derivatives_u,
            linearizedIntegrals.get('cell'),
            tempVars=tempVars)

    if 'exterior_facet' in integrals.keys():
        arg = Variable(integrands.domainValueTuple, 'u')

        predefined = {
            derivatives_u[i]: arg[i]
            for i in range(len(derivatives_u))
        }
        predefined[x] = integrands.spatialCoordinate('x')
        predefined[n] = integrands.facetNormal('x')
        predefined[cellVolume] = integrands.cellVolume()
        predefined[maxCellEdgeLength] = maxEdgeLength(
            integrands.cellGeometry())
        predefined[minCellEdgeLength] = minEdgeLength(
            integrands.cellGeometry())
        predefined[facetArea] = integrands.facetArea()
        predefined[maxFacetEdgeLength] = maxEdgeLength(
            integrands.facetGeometry())
        predefined[minFacetEdgeLength] = minEdgeLength(
            integrands.facetGeometry())
        integrands.predefineCoefficients(predefined, False)
        integrands.boundary = generateUnaryCode(predefined,
                                                derivatives_phi,
                                                integrals['exterior_facet'],
                                                tempVars=tempVars)

        predefined = {
            derivatives_ubar[i]: arg[i]
            for i in range(len(derivatives_u))
        }
        predefined[x] = integrands.spatialCoordinate('x')
        predefined[n] = integrands.facetNormal('x')
        predefined[cellVolume] = integrands.cellVolume()
        predefined[maxCellEdgeLength] = maxEdgeLength(
            integrands.cellGeometry())
        predefined[minCellEdgeLength] = minEdgeLength(
            integrands.cellGeometry())
        predefined[facetArea] = integrands.facetArea()
        predefined[maxFacetEdgeLength] = maxEdgeLength(
            integrands.facetGeometry())
        predefined[minFacetEdgeLength] = minEdgeLength(
            integrands.facetGeometry())
        integrands.predefineCoefficients(predefined, False)
        integrands.linearizedBoundary = generateUnaryLinearizedCode(
            predefined,
            derivatives_phi,
            derivatives_u,
            linearizedIntegrals.get('exterior_facet'),
            tempVars=tempVars)

    if 'interior_facet' in integrals.keys():
        argIn = Variable(integrands.domainValueTuple, 'uIn')
        argOut = Variable(integrands.domainValueTuple, 'uOut')

        predefined = {
            derivatives_u[i](s): arg[i]
            for i in range(len(derivatives_u))
            for s, arg in (('+', argIn), ('-', argOut))
        }
        predefined[x] = integrands.spatialCoordinate('xIn')
        predefined[n('+')] = integrands.facetNormal('xIn')
        predefined[cellVolume('+')] = integrands.cellVolume('Side::in')
        predefined[cellVolume('-')] = integrands.cellVolume('Side::out')
        predefined[maxCellEdgeLength('+')] = maxEdgeLength(
            integrands.cellGeometry('Side::in'))
        predefined[maxCellEdgeLength('-')] = maxEdgeLength(
            integrands.cellGeometry('Side::out'))
        predefined[minCellEdgeLength('+')] = minEdgeLength(
            integrands.cellGeometry('Side::in'))
        predefined[minCellEdgeLength('-')] = minEdgeLength(
            integrands.cellGeometry('Side::out'))
        predefined[facetArea] = integrands.facetArea()
        predefined[maxFacetEdgeLength] = maxEdgeLength(
            integrands.facetGeometry())
        predefined[minFacetEdgeLength] = minEdgeLength(
            integrands.facetGeometry())
        integrands.predefineCoefficients(predefined, True)
        integrands.skeleton = generateBinaryCode(predefined,
                                                 derivatives_phi,
                                                 integrals['interior_facet'],
                                                 tempVars=tempVars)

        predefined = {
            derivatives_ubar[i](s): arg[i]
            for i in range(len(derivatives_u))
            for s, arg in (('+', argIn), ('-', argOut))
        }
        predefined[x] = integrands.spatialCoordinate('xIn')
        predefined[n('+')] = integrands.facetNormal('xIn')
        predefined[cellVolume('+')] = integrands.cellVolume('Side::in')
        predefined[cellVolume('-')] = integrands.cellVolume('Side::out')
        predefined[maxCellEdgeLength('+')] = maxEdgeLength(
            integrands.cellGeometry('Side::in'))
        predefined[maxCellEdgeLength('-')] = maxEdgeLength(
            integrands.cellGeometry('Side::out'))
        predefined[minCellEdgeLength('+')] = minEdgeLength(
            integrands.cellGeometry('Side::in'))
        predefined[minCellEdgeLength('-')] = minEdgeLength(
            integrands.cellGeometry('Side::out'))
        predefined[facetArea] = integrands.facetArea()
        predefined[maxFacetEdgeLength] = maxEdgeLength(
            integrands.facetGeometry())
        predefined[minFacetEdgeLength] = minEdgeLength(
            integrands.facetGeometry())
        integrands.predefineCoefficients(predefined, True)
        integrands.linearizedSkeleton = generateBinaryLinearizedCode(
            predefined,
            derivatives_phi,
            derivatives_u,
            linearizedIntegrals.get('interior_facet'),
            tempVars=tempVars)

    if dirichletBCs:
        integrands.hasDirichletBoundary = True

        predefined = {}
        # predefined[x] = UnformattedExpression('auto', 'entity().geometry().global( Dune::Fem::coordinate( ' + integrands.arg_x.name + ' ) )')
        predefined[x] = UnformattedExpression(
            'auto', 'intersection.geometry().center( )')
        integrands.predefineCoefficients(predefined, False)

        maxId = 0
        codeDomains = []
        bySubDomain = dict()
        neuman = []
        wholeDomain = None
        for bc in dirichletBCs:
            if bc.subDomain in bySubDomain:
                raise Exception(
                    'Multiply defined Dirichlet boundary for subdomain ' +
                    str(bc.subDomain))
            if not isinstance(bc.functionSpace,
                              (FunctionSpace, FiniteElementBase)):
                raise Exception(
                    'Function space must either be a ufl.FunctionSpace or a ufl.FiniteElement'
                )
            if isinstance(bc.functionSpace, FunctionSpace) and (
                    bc.functionSpace != u.ufl_function_space()):
                raise Exception(
                    'Space of trial function and dirichlet boundary function must be the same - note that boundary conditions on subspaces are not available, yet'
                )
            if isinstance(bc.functionSpace, FiniteElementBase) and (
                    bc.functionSpace != u.ufl_element()):
                raise Exception(
                    'Cannot handle boundary conditions on subspaces, yet')

            if isinstance(bc.value, list):
                neuman = [i for i, x in enumerate(bc.value) if x == None]
            else:
                neuman = []

            value = ExprTensor(u.ufl_shape)
            for key in value.keys():
                value[key] = Indexed(
                    bc.ufl_value,
                    MultiIndex(tuple(FixedIndex(k) for k in key)))
            if bc.subDomain is None:
                wholeDomain = value, neuman
            elif isinstance(bc.subDomain, int):
                bySubDomain[bc.subDomain] = value, neuman
                maxId = max(maxId, bc.subDomain)
            else:
                domain = ExprTensor(())
                for key in domain.keys():
                    domain[key] = Indexed(
                        bc.subDomain,
                        MultiIndex(tuple(FixedIndex(k) for k in key)))
                codeDomains.append((value, neuman, domain))
        defaultCode = []
        if len(codeDomains) > 0:
            defaultCode.append(Declaration(Variable('int', 'domainId')))
        # defaultCode.append(Declaration(Variable('auto', 'x'),
        #     initializer=UnformattedExpression('auto','intersection.geometry().center()')))
        for i, v in enumerate(codeDomains):
            block = Block()
            block.append(
                generateDirichletDomainCode(predefined,
                                            v[2],
                                            tempVars=tempVars))
            block.append('if (domainId)')
            ifBlock = UnformattedBlock()
            ifBlock.append(
                'std::fill( dirichletComponent.begin(), dirichletComponent.end(), '
                + str(maxId + i + 2) + ' );')
            if len(v[1]) > 0:
                [
                    ifBlock.append('dirichletComponent[' + str(c) + '] = 0;')
                    for c in v[1]
                ]
            ifBlock.append('return true;')
            block.append(ifBlock)
            defaultCode.append(block)
        if wholeDomain is not None:
            block = UnformattedBlock()
            block.append(
                'std::fill( dirichletComponent.begin(), dirichletComponent.end(), '
                + str(maxId + 1) + ' );')
            if len(wholeDomain[1]) > 0:
                [
                    block.append('dirichletComponent[' + str(c) + '] = 0;')
                    for c in wholeDomain[1]
                ]
            block.append('return true;')
            defaultCode.append(block)
        defaultCode.append(return_(False))

        bndId = Variable('const int', 'bndId')
        getBndId = UnformattedExpression(
            'int', 'BoundaryIdProviderType::boundaryId( ' +
            integrands.arg_i.name + ' )')
        # getBndId = UnformattedExpression('int', 'boundaryIdGetter_.boundaryId( ' + integrands.arg_i.name + ' )')
        switch = SwitchStatement(bndId, default=defaultCode)
        for i, v in bySubDomain.items():
            code = []
            if len(v[1]) > 0:
                [
                    code.append('dirichletComponent[' + str(c) + '] = 0;')
                    for c in v[1]
                ]
            code.append(return_(True))
            switch.append(i, code)
        integrands.isDirichletIntersection = [
            Declaration(bndId, initializer=getBndId),
            UnformattedBlock(
                'std::fill( dirichletComponent.begin(), dirichletComponent.end(), '
                + bndId.name + ' );'), switch
        ]

        predefined[x] = UnformattedExpression(
            'auto', 'entity().geometry().global( Dune::Fem::coordinate( ' +
            integrands.arg_x.name + ' ) )')
        if wholeDomain is None:
            defaultCode = assign(integrands.arg_r, construct("RRangeType", 0))
        else:
            defaultCode = generateDirichletCode(predefined,
                                                wholeDomain[0],
                                                tempVars=tempVars)
        switch = SwitchStatement(integrands.arg_bndId, default=defaultCode)
        for i, v in bySubDomain.items():
            switch.append(
                i, generateDirichletCode(predefined, v[0], tempVars=tempVars))
        for i, v in enumerate(codeDomains):
            switch.append(
                i + maxId + 2,
                generateDirichletCode(predefined, v[0], tempVars=tempVars))
        integrands.dirichlet = [switch]

    return integrands