run_thresplot.py

'''
2020 Mark Shui Hu, QuTech

www.github.com/watermarkhu/oop_surface_code
_____________________________________________

'''
import argparse
from run_oopsc import add_args, add_kwargs
from oopsc.threshold.plot import plot_thresholds

if __name__ == "__main__":

    parser = argparse.ArgumentParser(
        prog="threshold_fit",
        description="fit a threshold computation",
        usage='%(prog)s [-h/--help] file_name'
    )

    arguments = [["file_name", "store", str, "file name of csv data (without extension)", "file_name", dict()]]

    key_arguments = [
        ["-p", "--probs", "store", "p items to plot - verbose list", dict(type=float, nargs='*', metavar="")],
        ["-l", "--latts", "store", "L items to plot - verbose list", dict(type=float, nargs='*', metavar="")],
        ["-ma", "--modified_ansatz", "store_true", "use modified ansatz - toggle", dict()],
        ["-o", "--output", "store", "output file name", dict(type=str, default="", metavar="")],
        ["-pt", "--plot_title", "store", "plot filename", dict(type=str, default="", metavar="")],
        ["-ymin", "--ymin", "store", "limit yaxis min", dict(type=float, default=0.5, metavar="")],
        ["-ymax", "--ymax", "store", "limit yaxis max", dict(type=float, default=1, metavar="")],
        ["-ttf", "--time_to_failure", "store_true", "time to failure axis", dict()],
        ["-acc", "--accuracy", "store", "grid accuracy", dict(type=float, default=0.025, metavar="")],
        ["-pn", "--pn", "store", "Network noise", dict(type=float, default=None, metavar="")],
        ["-lde", "--lde", "store", "lde_success", dict(type=float, default=None, metavar="")]
    ]

    add_args(parser, arguments)
    add_kwargs(parser, key_arguments)
    args=vars(parser.parse_args())
    plot_thresholds(**args)