from __future__ import print_function
import sys
import mesh.patch as patch
import numpy as np
from util import msg
import matplotlib.pyplot as plt
[docs]def init_data(my_data, rp):
""" initialize the logo problem """
msg.bold("initializing the logo problem...")
# make sure that we are passed a valid patch object
if not isinstance(my_data, patch.CellCenterData2d):
print("ERROR: patch invalid in logo.py")
print(my_data.__class__)
sys.exit()
# create the logo
myg = my_data.grid
fig = plt.figure(2, (0.64, 0.64), dpi=100*myg.nx/64)
fig.add_subplot(111)
fig.text(0.5, 0.5, "pyro", transform=fig.transFigure, fontsize="16",
horizontalalignment="center", verticalalignment="center")
plt.axis("off")
fig.canvas.draw()
data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep='')
data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
logo = np.rot90(np.rot90(np.rot90((256-data[:, :, 1])/255.0)))
# get the density, momenta, and energy as separate variables
dens = my_data.get_var("density")
xmom = my_data.get_var("x-momentum")
ymom = my_data.get_var("y-momentum")
ener = my_data.get_var("energy")
myg = my_data.grid
# initialize the components, remember, that ener here is rho*eint
# + 0.5*rho*v**2, where eint is the specific internal energy
# (erg/g)
dens[:, :] = 1.0
xmom[:, :] = 0.0
ymom[:, :] = 0.0
# set the density in the logo zones to be really large
logo_dens = 50.0
dens.v()[:, :] = logo[:, :] * logo_dens
# pressure equilibrium
gamma = rp.get_param("eos.gamma")
p_ambient = 1.e-5
ener[:, :] = p_ambient/(gamma - 1.0)
# explosion
ener[myg.ilo, myg.jlo] = 1.0
ener[myg.ilo, myg.jhi] = 1.0
ener[myg.ihi, myg.jlo] = 1.0
ener[myg.ihi, myg.jhi] = 1.0
[docs]def finalize():
""" print out any information to the user at the end of the run """
msg = """
The script analysis/sedov_compare.py can be used to analyze these
results. That will perform an average at constant radius and
compare the radial profiles to the exact solution. Sample exact
data is provided as analysis/cylindrical-sedov.out
"""
print(msg)