plot_constraints.py

plot_constraints plots given reductions (e.g., norm2, maximum) of the constraints (Hamiltonian, momentum) as a function of time. At the moment, it supports Lean and McLachlan, but it is trivial to extend for other spacetime solvers.

#!/usr/bin/env python3
# PYTHON_ARGCOMPLETE_OK

# Copyright (C) 2021-2023 Gabriele Bozzola
#
# 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 <https://www.gnu.org/licenses/>.

import logging

import matplotlib.pyplot as plt

from kuibit import argparse_helper as kah
from kuibit.simdir import SimDir
from kuibit.visualize_matplotlib import (
    save_from_dir_filename_ext,
    set_axis_limits_from_args,
    setup_matplotlib,
)

if __name__ == "__main__":
    desc = f"""\
{kah.get_program_name()} plots given reductions of the constraints."""

    parser = kah.init_argparse(desc)
    kah.add_figure_to_parser(parser, add_limits=True)
    parser.add_argument(
        "--reductions",
        default=["norm2", "maximum"],
        nargs="+",
        help="Reductions (norm2, maximum, ...) to plot.",
    )

    args = kah.get_args(parser)
    setup_matplotlib(rc_par_file=args.mpl_rc_file)

    logger = logging.getLogger(__name__)

    if args.verbose:
        logging.basicConfig(format="%(asctime)s - %(message)s")
        logger.setLevel(logging.DEBUG)

    with SimDir(
        args.datadir,
        ignore_symlinks=args.ignore_symlinks,
        pickle_file=args.pickle_file,
    ) as sim:
        logger.debug("Prepared SimDir")

        reader = sim.timeseries
        logger.debug(f"Variables available {reader}")

        def plot_constraint(constraint_, reduction_):
            logger.debug(f"Reading {reduction_} of {constraint_}")
            var = reader[reduction_][constraint_]
            logger.debug(f"Read {reduction_} of {constraint_}")
            plt.semilogy(abs(var), label=f"{reduction_}(|{constraint_}|)")
            logger.debug(f"Plotted {reduction_} of {constraint_}")

        for reduction in args.reductions:
            logger.debug(f"Working with reduction: {reduction}")

            plt.clf()

            if args.figname is None:
                figname = f"constraints_{reduction}"
            else:
                figname = args.figname + f"_{reduction}"

            # We have multiple choices depending on the code used to compute the
            # constraint
            constraint_names = [
                ["H", "M1", "M2", "M3"],  # McLachlan
                ["hc", "mc", "my", "mz"],  # Lean
                [
                    "hamc",
                    "momcx",
                    "momcy",
                    "momcz",
                    "divE",
                ],  # ProcaConstraints
            ]

            logger.debug("Plotting")
            for names in constraint_names:
                for constraint in names:
                    if constraint in reader[reduction]:
                        plot_constraint(constraint, reduction)

            plt.legend()
            set_axis_limits_from_args(args)
            logger.debug("Plotted")

            logger.debug("Saving")
            save_from_dir_filename_ext(
                args.outdir,
                figname,
                args.fig_extension,
                tikz_clean_figure=args.tikz_clean_figure,
            )
            logger.debug("Saved")

        logger.debug("Done")