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  • __copyright__ = "Copyright (C) 2008 Andreas Kloeckner"
    
    __license__ = """
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in
    all copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
    THE SOFTWARE.
    """
    
    
    
    
    from __future__ import division
    
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    from __future__ import absolute_import
    from __future__ import print_function
    
    import numpy
    import numpy.linalg as la
    
    
    
    
    def main(write_output=True):
        from pytools import add_python_path_relative_to_script
        add_python_path_relative_to_script("..")
    
    
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        from grudge.backends import guess_run_context
    
        rcon = guess_run_context()
    
    
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        from grudge.tools import EOCRecorder
    
        eoc_rec = EOCRecorder()
    
    
        if rcon.is_head_rank:
    
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            from grudge.mesh.generator import \
    
                    make_rect_mesh, \
                    make_centered_regular_rect_mesh
    
            refine = 4
            mesh = make_centered_regular_rect_mesh((0,-5), (10,5), n=(9,9),
                    post_refine_factor=refine)
            mesh_data = rcon.distribute_mesh(mesh)
        else:
            mesh_data = rcon.receive_mesh()
    
        # a second mesh to regrid to
        if rcon.is_head_rank:
    
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            from grudge.mesh.generator import \
    
                    make_rect_mesh, \
                    make_centered_regular_rect_mesh
    
            refine = 4
            mesh2 = make_centered_regular_rect_mesh((0,-5), (10,5), n=(8,8),
                    post_refine_factor=refine)
            mesh_data2 = rcon.distribute_mesh(mesh2)
        else:
            mesh_data2 = rcon.receive_mesh()
    
    
    
        for order in [3,4]:
            discr = rcon.make_discretization(mesh_data, order=order,
                            default_scalar_type=numpy.float64,
                            quad_min_degrees={
                                "gasdyn_vol": 3*order,
                                "gasdyn_face": 3*order,
                                })
    
            discr2 = rcon.make_discretization(mesh_data2, order=order,
                            default_scalar_type=numpy.float64,
                            quad_min_degrees={
                                "gasdyn_vol": 3*order,
                                "gasdyn_face": 3*order,
                                })
    
    
    
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            from grudge.visualization import SiloVisualizer, VtkVisualizer
    
            vis = VtkVisualizer(discr, rcon, "vortex-%d" % order)
            #vis = SiloVisualizer(discr, rcon)
    
            from gas_dynamics_initials import Vortex
            vortex = Vortex()
            fields = vortex.volume_interpolant(0, discr)
    
    
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            from grudge.models.gas_dynamics import GasDynamicsOperator
    
            from grudge.mesh import BTAG_ALL
    
    
            op = GasDynamicsOperator(dimensions=2, gamma=vortex.gamma, mu=vortex.mu,
                    prandtl=vortex.prandtl, spec_gas_const=vortex.spec_gas_const,
                    bc_inflow=vortex, bc_outflow=vortex, bc_noslip=vortex,
    
                    inflow_tag=BTAG_ALL, source=None)
    
    
            euler_ex = op.bind(discr)
    
            max_eigval = [0]
            def rhs(t, q):
                ode_rhs, speed = euler_ex(t, q)
                max_eigval[0] = speed
                return ode_rhs
            rhs(0, fields)
    
    
            if rcon.is_head_rank:
    
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                print("---------------------------------------------")
                print("order %d" % order)
                print("---------------------------------------------")
                print("#elements for mesh 1 =", len(mesh.elements))
                print("#elements for mesh 2 =", len(mesh2.elements))
    
    
    
            # limiter ------------------------------------------------------------
    
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            from grudge.models.gas_dynamics import SlopeLimiter1NEuler
    
            limiter = SlopeLimiter1NEuler(discr, vortex.gamma, 2, op)
    
    
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            from grudge.timestep import SSPRK3TimeStepper
    
            #stepper = SSPRK3TimeStepper(limiter=limiter)
            stepper = SSPRK3TimeStepper()
    
    
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            #from grudge.timestep import RK4TimeStepper
    
            #stepper = RK4TimeStepper()
    
            # diagnostics setup ---------------------------------------------------
    
            from logpyle import LogManager, add_general_quantities, \
    
                    add_simulation_quantities, add_run_info
    
            if write_output:
                log_file_name = "euler-%d.dat" % order
            else:
                log_file_name = None
    
            logmgr = LogManager(log_file_name, "w", rcon.communicator)
            add_run_info(logmgr)
            add_general_quantities(logmgr)
            add_simulation_quantities(logmgr)
            discr.add_instrumentation(logmgr)
            stepper.add_instrumentation(logmgr)
    
            logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"])
    
            # timestep loop -------------------------------------------------------
            try:
                final_time = 0.2
    
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                from grudge.timestep import times_and_steps
    
                step_it = times_and_steps(
                        final_time=final_time, logmgr=logmgr,
                        max_dt_getter=lambda t: op.estimate_timestep(discr,
                            stepper=stepper, t=t, max_eigenvalue=max_eigval[0]))
    
                for step, t, dt in step_it:
                    if step % 10 == 0 and write_output:
                    #if False:
                        visf = vis.make_file("vortex-%d-%04d" % (order, step))
    
                        #true_fields = vortex.volume_interpolant(t, discr)
    
                        from pyvisfile.silo import DB_VARTYPE_VECTOR
                        vis.add_data(visf,
                                [
                                    ("rho", discr.convert_volume(op.rho(fields), kind="numpy")),
                                    ("e", discr.convert_volume(op.e(fields), kind="numpy")),
                                    ("rho_u", discr.convert_volume(op.rho_u(fields), kind="numpy")),
                                    ("u", discr.convert_volume(op.u(fields), kind="numpy")),
    
                                    #("true_rho", discr.convert_volume(op.rho(true_fields), kind="numpy")),
                                    #("true_e", discr.convert_volume(op.e(true_fields), kind="numpy")),
                                    #("true_rho_u", discr.convert_volume(op.rho_u(true_fields), kind="numpy")),
                                    #("true_u", discr.convert_volume(op.u(true_fields), kind="numpy")),
    
                                    #("rhs_rho", discr.convert_volume(op.rho(rhs_fields), kind="numpy")),
                                    #("rhs_e", discr.convert_volume(op.e(rhs_fields), kind="numpy")),
                                    #("rhs_rho_u", discr.convert_volume(op.rho_u(rhs_fields), kind="numpy")),
                                    ],
                                #expressions=[
                                    #("diff_rho", "rho-true_rho"),
                                    #("diff_e", "e-true_e"),
                                    #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR),
    
                                    #("p", "0.4*(e- 0.5*(rho_u*u))"),
                                    #],
                                time=t, step=step
                                )
                        visf.close()
    
                    fields = stepper(fields, t, dt, rhs)
                    #fields = limiter(fields)
    
                    #regrid to discr2 at some arbitrary time
                    if step == 21:
    
                        #get interpolated fields
                        fields = discr.get_regrid_values(fields, discr2, dtype=None, use_btree=True, thresh=1e-8)
                        #get new stepper (old one has reference to discr
                        stepper = SSPRK3TimeStepper()
                        #new bind
                        euler_ex = op.bind(discr2)
                        #new rhs
                        max_eigval = [0]
                        def rhs(t, q):
                            ode_rhs, speed = euler_ex(t, q)
                            max_eigval[0] = speed
                            return ode_rhs
                        rhs(t+dt, fields)
                        #add logmanager
                        #discr2.add_instrumentation(logmgr)
                        #new step_it
                        step_it = times_and_steps(
                            final_time=final_time, logmgr=logmgr,
                            max_dt_getter=lambda t: op.estimate_timestep(discr2,
                                stepper=stepper, t=t, max_eigenvalue=max_eigval[0]))
    
                        #new visualization
                        vis.close()
                        vis = VtkVisualizer(discr2, rcon, "vortexNewGrid-%d" % order)
                        discr=discr2
    
    
    
                    assert not numpy.isnan(numpy.sum(fields[0]))
    
                true_fields = vortex.volume_interpolant(final_time, discr)
                l2_error = discr.norm(fields-true_fields)
                l2_error_rho = discr.norm(op.rho(fields)-op.rho(true_fields))
                l2_error_e = discr.norm(op.e(fields)-op.e(true_fields))
                l2_error_rhou = discr.norm(op.rho_u(fields)-op.rho_u(true_fields))
                l2_error_u = discr.norm(op.u(fields)-op.u(true_fields))
    
                eoc_rec.add_data_point(order, l2_error)
    
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                print()
                print(eoc_rec.pretty_print("P.Deg.", "L2 Error"))
    
    
                logmgr.set_constant("l2_error", l2_error)
                logmgr.set_constant("l2_error_rho", l2_error_rho)
                logmgr.set_constant("l2_error_e", l2_error_e)
                logmgr.set_constant("l2_error_rhou", l2_error_rhou)
                logmgr.set_constant("l2_error_u", l2_error_u)
                logmgr.set_constant("refinement", refine)
    
            finally:
                if write_output:
                    vis.close()
    
                logmgr.close()
                discr.close()
    
    
    
        # after order loop
        # assert eoc_rec.estimate_order_of_convergence()[0,1] > 6
    
    
    
    
    if __name__ == "__main__":
        main()