S06 - Perpendicular Burning Ship explorer - Standard precision

This is a simple template to explore the perpendicular Burning ship fractal Resolution limited to approx 1.e-13: due to double (float64) precision.

Reference: fractalshades.models.Perpendicular_burning_ship

S06 run perpendicular BS shallow
import typing
import os

import numpy as np
from PyQt6 import QtGui

import fractalshades as fs
import fractalshades.models as fsm
import fractalshades.settings as settings
import fractalshades.colors as fscolors
import fractalshades.gui as fsgui

from fractalshades.postproc import (
    Postproc_batch,
    Raw_pp,
    DEM_pp,
    DEM_normal_pp,
    Continuous_iter_pp
)
from fractalshades.colors.layers import (
    Color_layer,
    Bool_layer,
    Normal_map_layer,
    Blinn_lighting
)


def plot(plot_dir):
    """
    Example interactive
    """
    calc_name = 'test'
    x = -0.5
    y = 0.0
    dx = 6.
    xy_ratio = 1.
    theta_deg = 0.

    max_iter = 1000
    nx = 800
    M_divergence = 1000.0
    interior_color = (0., 0., 0.)
    colormap = fs.colors.cmap_register["classic"]
    cmap_z_kind = 'relative'
    zmin = 0.3
    zmax = 0.6


    # Set to True to enable multi-processing
    settings.enable_multithreading = True
    # Set to True in case RAM issue (Memory error)
    settings.optimize_RAM = False
    settings.inspect_calc = True

    directory = plot_dir
    fractal = fsm.Perpendicular_burning_ship(directory)

    def func(
        fractal: fsm.Perpendicular_burning_ship=fractal,
        calc_name: str= calc_name,
         _1: fsgui.separator="Zoom parameters",
         x: float= x,
         y: float= y,
         dx: float= dx,
         xy_ratio: float=xy_ratio,
         theta_deg: float=theta_deg,
         _2: fsgui.separator="Calculation parameters",
         max_iter: int=max_iter,
         nx: int=nx,
         _3: fsgui.separator="Plotting parameters",
         M_divergence: float=M_divergence,
         interior_color: QtGui.QColor=interior_color,
         colormap: fscolors.Fractal_colormap=colormap,
         cmap_z_kind: typing.Literal["relative", "absolute"]=cmap_z_kind,
         zmin: float=zmin,
         zmax: float=zmax
    ):


        fractal.zoom(x=x, y=y, dx=dx, nx=nx, xy_ratio=xy_ratio,
             theta_deg=theta_deg, projection="cartesian", antialiasing=False)

        fractal.base_calc(
            calc_name=calc_name,
            subset=None,
            max_iter=max_iter,
            M_divergence=M_divergence,
        )

        if fractal.res_available():
            print("RES AVAILABLE, no compute")
        else:
            print("RES NOT AVAILABLE, clean-up")
            fractal.clean_up(calc_name)

        fractal.run()


        pp = Postproc_batch(fractal, calc_name)
        pp.add_postproc("continuous_iter", Continuous_iter_pp())
        pp.add_postproc("DEM_map", DEM_normal_pp(kind="potential"))
        pp.add_postproc("interior", Raw_pp("stop_reason",
                        func=lambda x: x != 1))

        plotter = fs.Fractal_plotter(pp)
        plotter.add_layer(Bool_layer("interior", output=False))
        plotter.add_layer(Normal_map_layer("DEM_map", max_slope=60, output=True))

        plotter.add_layer(Color_layer(
                "continuous_iter",
                func=lambda x: np.log(x),
                colormap=colormap,
                probes_z=[zmin, zmax],
                probes_kind=cmap_z_kind,
                output=True))
        plotter["continuous_iter"].set_mask(plotter["interior"],
                                     mask_color=interior_color)

        light = Blinn_lighting(0.4, np.array([1., 1., 1.]))
        light.add_light_source(
            k_diffuse=0.8,
            k_specular=20.,
            shininess=50.,
            angles=(40., 20.),
            coords=None,
            color=np.array([1.0, 1.0, 0.9]))
        plotter["continuous_iter"].shade(plotter["DEM_map"], light)

        plotter.plot()

        # Renaming output to match expected from the Fractal GUI
        layer = plotter["continuous_iter"]
        file_name = "{}_{}".format(type(layer).__name__, layer.postname)
        src_path = os.path.join(fractal.directory, file_name + ".png")
        dest_path = os.path.join(fractal.directory, calc_name + ".png")
        if os.path.isfile(dest_path):
            os.unlink(dest_path)
        os.link(src_path, dest_path)


    gui = fsgui.Fractal_GUI(func)
    gui.connect_image(image_param="calc_name")
    gui.connect_mouse(x="x", y="y", dx="dx", xy_ratio="xy_ratio", dps=None)
    gui.show()



if __name__ == "__main__":
    # Some magic to get the directory for plotting: with a name that matches
    # the file or a temporary dir if we are building the documentation
    try:
        realpath = os.path.realpath(__file__)
        plot_dir = os.path.splitext(realpath)[0]
        plot(plot_dir)
    except NameError:
        import tempfile
        with tempfile.TemporaryDirectory() as plot_dir:
            fs.utils.exec_no_output(plot, plot_dir)

Total running time of the script: ( 0 minutes 2.468 seconds)

Gallery generated by Sphinx-Gallery