コード例 #1
0
    def __init__(self, diag_steps,
                 name=init_restart_util.DEFAULT_CHECKPOINT_NAME,
                 clear_old_checkpoints=True, **kwargs):
        """
        This class is a wrapper for creating checkpoints from which
        to restart a simulation from. Adding flux diagnostic data to
        checkpoints are supported, but since this class has to be initialized
        before the simulation and flux diagnostics are initialized after
        the simulation, the user is responsible for adding the ``flux_diag``
        attribute to this object in a simulation input file.

        Arguments:
            diag_steps (int): Run the diagnostic with this period.
                Also plot on this period if enabled.
            name (str): The name of the diagnostic to be passed into the
                picmi checkpoint diagnostic.
            clear_old_checkpoints (bool): If True old checkpoints will be
                deleted after new ones are created.
            kwargs: For a list of valid keyword arguments see
                :class:`mewarpx.diags_store.diag_base.WarpXDiagnostic`
        """
        self.checkpoint_steps = diag_steps
        self.name = name
        self.clear_old_checkpoints = clear_old_checkpoints
        self.flux_diag = None

        if kwargs.pop('diag_step_offset', 1) != 1:
            raise ValueError(
                "diag_step_offset in CheckPointDiagnostic must be 1.")
        super(CheckPointDiagnostic, self).__init__(
            diag_steps=diag_steps, diag_step_offset=1, **kwargs)

        self.write_dir = self.DIAG_DIR
        self.add_checkpoint()

        # note that WarpX diagnostics (including checkpoints) are output
        # after the "afterstep" functions, therefore we install this function
        # before steps and add 1 to the diag_steps above
        callbacks.installbeforestep(self.checkpoint_manager)
コード例 #2
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    def __init__(self, diag_steps, surface, write_dir, **kwargs):
        """Initialize surface-specific features.

        Arguments:
            diag_steps (int): Number of steps between each output
            surface (mewarpx.Assembly object): The assembly object in which
                particles are scraped.
            write_dir (string): Directory to write CSV files to.
            kwargs: See :class:`mewarpx.diags_store.diag_base.WarpXDiagnostic`
                for more timing options.
        """
        self.surface = surface

        # Register with the surface, make sure we don't have two diagnostics
        # attached, and initialize with fields.
        if self.surface.scraper_diag is not None:
            raise RuntimeError("Cannot attach two SurfaceFluxDiag objects "
                               "to the same surface.")
        self.surface.scraper_diag = self
        self.surface.init_scrapedparticles(self.surface.fields)

        save_name = self.surface.name + '_scraped.csv'

        super(SurfaceFluxDiag, self).__init__(
            diag_steps=diag_steps,
            write_dir=write_dir,
            save_name=save_name,
            **kwargs
        )

        # install callback that will have the assembly object check the
        # particle buffer and record the scraped particles data
        # TODO change this to only process the particle buffer on a diagnostic
        # step instead of after every step
        callbacks.installbeforestep(
            mwxrun.sim_ext.libwarpx_so.warpx_clearParticleBoundaryBuffer)
        callbacks.installbeforeEsolve(self.surface.record_scrapedparticles)
コード例 #3
0
    nps = 10
    x = np.random.rand(nps) * 0.03
    y = np.zeros(nps)
    z = np.random.random(nps) * 0.03
    ux = np.random.normal(loc=0, scale=1e3, size=nps)
    uy = np.random.normal(loc=0, scale=1e3, size=nps)
    uz = np.random.normal(loc=0, scale=1e3, size=nps)
    w = np.ones(nps) * 2.0
    newPid = 5.0

    _libwarpx.add_particles(
        species_name='electrons', x=x, y=y, z=z, ux=ux, uy=uy, uz=uz,
        w=w, newPid=newPid, unique_particles=(not color)
    )

callbacks.installbeforestep(add_particles)

##########################
# simulation run
##########################

sim.step(max_steps - 1, mpi_comm=new_comm)

##########################
# check that the new PIDs are properly set
##########################

if color == 0:
    assert (_libwarpx.get_particle_count('electrons') == 90)
else:
    assert (_libwarpx.get_particle_count('electrons') == 90)