Source code for pyfr.solvers.acnavstokes.elements

# -*- coding: utf-8 -*-

from pyfr.solvers.aceuler.elements import BaseACFluidElements
from pyfr.solvers.baseadvecdiff import BaseAdvectionDiffusionElements


class ACNavierStokesElements(BaseACFluidElements,
                             BaseAdvectionDiffusionElements):
    @staticmethod
    def grad_con_to_pri(cons, grad_cons, cfg):
        return grad_cons

    def set_backend(self, *args, **kwargs):
        super().set_backend(*args, **kwargs)

        # Can elide interior flux calculations at p = 0
        if self.basis.order == 0:
            return

        # Register our flux kernels
        kprefix = 'pyfr.solvers.acnavstokes.kernels'
        self._be.pointwise.register(f'{kprefix}.tflux')
        self._be.pointwise.register(f'{kprefix}.tfluxlin')

        # Template parameters for the flux kernels
        tplargs = {
            'ndims': self.ndims,
            'nvars': self.nvars,
            'nverts': len(self.basis.linspts),
            'c': self.cfg.items_as('constants', float),
            'jac_exprs': self.basis.jac_exprs
        }

        # Helpers
        c, l = 'curved', 'linear'
        r, s = self._mesh_regions, self._slice_mat

        if c in r and 'flux' not in self.antialias:
            self.kernels['tdisf_curved'] = lambda uin: self._be.kernel(
                'tflux', tplargs=tplargs, dims=[self.nupts, r[c]],
                u=s(self.scal_upts[uin], c), f=s(self._vect_upts, c),
                smats=self.curved_smat_at('upts')
            )
        elif c in r:
            self.kernels['tdisf_curved'] = lambda: self._be.kernel(
                'tflux', tplargs=tplargs, dims=[self.nqpts, r[c]],
                u=s(self._scal_qpts, c), f=s(self._vect_qpts, c),
                smats=self.curved_smat_at('qpts')
            )

        if l in r and 'flux' not in self.antialias:
            self.kernels['tdisf_linear'] = lambda uin: self._be.kernel(
                'tfluxlin', tplargs=tplargs, dims=[self.nupts, r[l]],
                u=s(self.scal_upts[uin], l), f=s(self._vect_upts, l),
                verts=self.ploc_at('linspts', l), upts=self.upts
            )
        elif l in r:
            self.kernels['tdisf_linear'] = lambda: self._be.kernel(
                'tfluxlin', tplargs=tplargs, dims=[self.nqpts, r[l]],
                u=s(self._scal_qpts, l), f=s(self._vect_qpts, l),
                verts=self.ploc_at('linspts', l), upts=self.qpts
            )