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    # grudge - the Hybrid'n'Easy DG Environment
    
    # Copyright (C) 2008 Andreas Kloeckner
    #
    # This program is free software: you can redistribute it and/or modify
    # it under the terms of the GNU General Public License as published by
    # the Free Software Foundation, either version 3 of the License, or
    # (at your option) any later version.
    #
    # This program is distributed in the hope that it will be useful,
    # but WITHOUT ANY WARRANTY; without even the implied warranty of
    # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    # GNU General Public License for more details.
    #
    # You should have received a copy of the GNU General Public License
    # along with this program.  If not, see <http://www.gnu.org/licenses/>.
    
    
    
    
    from __future__ import division
    
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    from __future__ import absolute_import
    from __future__ import print_function
    
    import numpy
    
    
    
    
    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()
    
        for order in [3, 4, 5]:
            from gas_dynamics_initials import Vortex
            flow = Vortex()
    
    
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            from grudge.models.gas_dynamics import (
    
                    GasDynamicsOperator, PolytropeEOS, GammaLawEOS)
    
    
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            from grudge.mesh import TAG_ALL
    
            # works equally well for GammaLawEOS
            op = GasDynamicsOperator(dimensions=2, mu=flow.mu,
                    prandtl=flow.prandtl, spec_gas_const=flow.spec_gas_const,
                    equation_of_state=PolytropeEOS(flow.gamma),
                    bc_inflow=flow, bc_outflow=flow, bc_noslip=flow,
                    inflow_tag=TAG_ALL, source=None)
    
            discr = rcon.make_discretization(mesh_data, order=order,
                            default_scalar_type=numpy.float64,
                            quad_min_degrees={
                                "gasdyn_vol": 3*order,
                                "gasdyn_face": 3*order,
                                },
                            tune_for=op.op_template(),
                            debug=["cuda_no_plan"])
    
    
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            from grudge.visualization import SiloVisualizer, VtkVisualizer
    
            vis = VtkVisualizer(discr, rcon, "vortex-%d" % order)
            #vis = SiloVisualizer(discr, rcon)
    
            fields = flow.volume_interpolant(0, discr)
    
            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=", len(mesh.elements))
    
    
    
            # limiter ------------------------------------------------------------
    
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            from grudge.models.gas_dynamics import SlopeLimiter1NEuler
    
            limiter = SlopeLimiter1NEuler(discr, flow.gamma, 2, op)
    
    
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            from grudge.timestep.runge_kutta import SSP3TimeStepper
    
            #stepper = SSP3TimeStepper(limiter=limiter)
            stepper = SSP3TimeStepper(
                    vector_primitive_factory=discr.get_vector_primitive_factory())
    
    
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            #from grudge.timestep import RK4TimeStepper
    
            #stepper = RK4TimeStepper()
    
            # diagnostics setup ---------------------------------------------------
            from pytools.log 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 = flow.final_time
    
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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]))
    
    
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                print("run until t=%g" % final_time)
    
                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)
    
                    assert not numpy.isnan(numpy.sum(fields[0]))
    
                true_fields = flow.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()
    
    
    
    # entry points for py.test ----------------------------------------------------
    from pytools.test import mark_test
    @mark_test.long
    def test_euler_vortex():
        main(write_output=False)