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missing setrun and setplot for corner problem
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""" | ||
Set up the plot figures, axes, and items to be done for each frame. | ||
This module is imported by the plotting routines and then the | ||
function setplot is called to set the plot parameters. | ||
""" | ||
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#-------------------------- | ||
def setplot(plotdata): | ||
#-------------------------- | ||
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""" | ||
Specify what is to be plotted at each frame. | ||
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData. | ||
Output: a modified version of plotdata. | ||
""" | ||
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from clawpack.visclaw import colormaps | ||
from numpy import linspace | ||
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plotdata.clearfigures() # clear any old figures,axes,items data | ||
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def plot_corner(current_data): | ||
from pylab import plot | ||
plot([.0,.0],[-1,0],'r',linewidth=2) | ||
plot([.0,1],[0,.55],'r',linewidth=2) | ||
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def sigmatr(current_data): | ||
# trace of sigma | ||
q = current_data.q | ||
return q[0,:,:] + q[1,:,:] | ||
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# Figure for trace of sigma | ||
plotfigure = plotdata.new_plotfigure(name='trace(sigma)', figno=0) | ||
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# Set up for axes in this figure: | ||
plotaxes = plotfigure.new_plotaxes() | ||
plotaxes.xlimits = 'auto' | ||
plotaxes.ylimits = 'auto' | ||
plotaxes.title = 'trace(sigma)' | ||
plotaxes.scaled = True | ||
plotaxes.afteraxes = plot_corner | ||
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# Set up for item on these axes: | ||
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor') | ||
plotitem.plot_var = sigmatr | ||
plotitem.pcolor_cmap = colormaps.red_yellow_blue | ||
plotitem.pcolor_cmin = -1. | ||
plotitem.pcolor_cmax = 1. | ||
plotitem.add_colorbar = True | ||
plotitem.show = True # show on plot? | ||
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# Figure for shear stress | ||
plotfigure = plotdata.new_plotfigure(name='shear', figno=1) | ||
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# Set up for axes in this figure: | ||
plotaxes = plotfigure.new_plotaxes() | ||
plotaxes.xlimits = 'auto' | ||
plotaxes.ylimits = 'auto' | ||
plotaxes.title = 'shear stress' | ||
plotaxes.scaled = True | ||
plotaxes.afteraxes = plot_corner | ||
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# Set up for item on these axes: | ||
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor') | ||
plotitem.plot_var = 2 # sigma_12 | ||
plotitem.pcolor_cmap = colormaps.red_yellow_blue | ||
plotitem.pcolor_cmin = -0.2 | ||
plotitem.pcolor_cmax = 0.2 | ||
plotitem.add_colorbar = True | ||
plotitem.show = True # show on plot? | ||
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# Figure for contours | ||
plotfigure = plotdata.new_plotfigure(name='contours', figno=2) | ||
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# Set up for axes in this figure: | ||
plotaxes = plotfigure.new_plotaxes() | ||
plotaxes.xlimits = 'auto' | ||
plotaxes.ylimits = 'auto' | ||
plotaxes.title = 'pressure(black) and shear(green)' | ||
plotaxes.scaled = True | ||
plotaxes.afteraxes = plot_corner | ||
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# Set up for item on these axes: | ||
plotitem = plotaxes.new_plotitem(plot_type='2d_contour') | ||
plotitem.plot_var = sigmatr | ||
plotitem.contour_levels = linspace(-2,8,50) | ||
plotitem.contour_colors = 'k' | ||
plotitem.show = True # show on plot? | ||
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# Set up for item on these axes: | ||
plotitem = plotaxes.new_plotitem(plot_type='2d_contour') | ||
plotitem.plot_var = 2 # sigma_12 | ||
plotitem.contour_levels = linspace(-0.4,0.4,30) | ||
plotitem.contour_colors = 'g' | ||
plotitem.show = True # show on plot? | ||
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# Parameters used only when creating html and/or latex hardcopy | ||
# e.g., via clawpack.visclaw.frametools.printframes: | ||
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plotdata.printfigs = True # print figures | ||
plotdata.print_format = 'png' # file format | ||
plotdata.print_framenos = 'all' # list of frames to print | ||
plotdata.print_fignos = 'all' # list of figures to print | ||
plotdata.html = True # create html files of plots? | ||
plotdata.html_homelink = '../README.html' # pointer for top of index | ||
plotdata.latex = True # create latex file of plots? | ||
plotdata.latex_figsperline = 2 # layout of plots | ||
plotdata.latex_framesperline = 1 # layout of plots | ||
plotdata.latex_makepdf = False # also run pdflatex? | ||
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return plotdata | ||
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""" | ||
Module to set up run time parameters for Clawpack -- classic code. | ||
The values set in the function setrun are then written out to data files | ||
that will be read in by the Fortran code. | ||
""" | ||
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import os | ||
import numpy as np | ||
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#------------------------------ | ||
def setrun(claw_pkg='classic'): | ||
#------------------------------ | ||
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""" | ||
Define the parameters used for running Clawpack. | ||
INPUT: | ||
claw_pkg expected to be "classic" for this setrun. | ||
OUTPUT: | ||
rundata - object of class ClawRunData | ||
""" | ||
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from clawpack.clawutil import data | ||
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assert claw_pkg.lower() == 'classic', "Expected claw_pkg = 'classic'" | ||
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num_dim = 2 | ||
rundata = data.ClawRunData(claw_pkg, num_dim) | ||
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#------------------------------------------------------------------ | ||
# Problem-specific parameters to be written to setprob.data: | ||
#------------------------------------------------------------------ | ||
# Sample setup to write one line to setprob.data ... | ||
probdata = rundata.new_UserData(name='probdata',fname='setprob.data') | ||
probdata.add_param('rho1', 1., 'rho1') | ||
probdata.add_param('lam1', 4., 'lam1') | ||
probdata.add_param('mu1', 0.5, 'mu1') | ||
probdata.add_param('rho2', 1., 'rho2') | ||
probdata.add_param('lam2', 2., 'lam2') | ||
probdata.add_param('mu2', 1.0, 'mu2') | ||
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#------------------------------------------------------------------ | ||
# Standard Clawpack parameters to be written to claw.data: | ||
#------------------------------------------------------------------ | ||
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clawdata = rundata.clawdata # initialized when rundata instantiated | ||
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# --------------- | ||
# Spatial domain: | ||
# --------------- | ||
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# Number of space dimensions: | ||
clawdata.num_dim = num_dim | ||
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# Lower and upper edge of computational domain: | ||
clawdata.lower[0] = -1.000000e+00 # xlower | ||
clawdata.upper[0] = 1.000000e+00 # xupper | ||
clawdata.lower[1] = -1.000000e+00 # ylower | ||
clawdata.upper[1] = 1.000000e+00 # yupper | ||
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# Number of grid cells: | ||
clawdata.num_cells[0] = 200 # mx | ||
clawdata.num_cells[1] = 200 # my | ||
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# --------------- | ||
# Size of system: | ||
# --------------- | ||
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# Number of equations in the system: | ||
clawdata.num_eqn = 5 | ||
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# Number of auxiliary variables in the aux array (initialized in setaux) | ||
clawdata.num_aux = 5 | ||
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# Index of aux array corresponding to capacity function, if there is one: | ||
clawdata.capa_index = 0 | ||
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# ------------- | ||
# Initial time: | ||
# ------------- | ||
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clawdata.t0 = 0.000000 | ||
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# Restart from checkpoint file of a previous run? | ||
# Note: If restarting, you must also change the Makefile to set: | ||
# RESTART = True | ||
# If restarting, t0 above should be from original run, and the | ||
# restart_file 'fort.qNNNN' specified below should be in | ||
# the OUTDIR indicated in Makefile. | ||
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clawdata.restart = False # True to restart from prior results | ||
clawdata.restart_file = 'fort.q0006' # File to use for restart data | ||
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# ------------- | ||
# Output times: | ||
#-------------- | ||
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# Specify at what times the results should be written to fort.q files. | ||
# Note that the time integration stops after the final output time. | ||
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clawdata.output_style = 1 | ||
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if clawdata.output_style==1: | ||
# Output ntimes frames at equally spaced times up to tfinal: | ||
# Can specify num_output_times = 0 for no output | ||
clawdata.num_output_times = 10 | ||
clawdata.tfinal = 0.500000 | ||
clawdata.output_t0 = True # output at initial (or restart) time? | ||
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elif clawdata.output_style == 2: | ||
# Specify a list or numpy array of output times: | ||
# Include t0 if you want output at the initial time. | ||
clawdata.output_times = [0., 0.1] | ||
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elif clawdata.output_style == 3: | ||
# Output every step_interval timesteps over total_steps timesteps: | ||
clawdata.output_step_interval = 2 | ||
clawdata.total_steps = 4 | ||
clawdata.output_t0 = True # output at initial (or restart) time? | ||
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clawdata.output_format = 'ascii' # 'ascii', 'binary', 'netcdf' | ||
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clawdata.output_q_components = 'all' # could be list such as [True,True] | ||
clawdata.output_aux_components = 'none' # could be list | ||
clawdata.output_aux_onlyonce = True # output aux arrays only at t0 | ||
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# --------------------------------------------------- | ||
# Verbosity of messages to screen during integration: | ||
# --------------------------------------------------- | ||
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# The current t, dt, and cfl will be printed every time step | ||
# at AMR levels <= verbosity. Set verbosity = 0 for no printing. | ||
# (E.g. verbosity == 2 means print only on levels 1 and 2.) | ||
clawdata.verbosity = 1 | ||
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# -------------- | ||
# Time stepping: | ||
# -------------- | ||
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# if dt_variable==True: variable time steps used based on cfl_desired, | ||
# if dt_variable==False: fixed time steps dt = dt_initial always used. | ||
clawdata.dt_variable = True | ||
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# Initial time step for variable dt. | ||
# (If dt_variable==0 then dt=dt_initial for all steps) | ||
clawdata.dt_initial = 1.000000e-02 | ||
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# Max time step to be allowed if variable dt used: | ||
clawdata.dt_max = 1.000000e+99 | ||
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# Desired Courant number if variable dt used | ||
clawdata.cfl_desired = 0.900000 | ||
# max Courant number to allow without retaking step with a smaller dt: | ||
clawdata.cfl_max = 1.000000 | ||
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# Maximum number of time steps to allow between output times: | ||
clawdata.steps_max = 500 | ||
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# ------------------ | ||
# Method to be used: | ||
# ------------------ | ||
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# Order of accuracy: 1 => Godunov, 2 => Lax-Wendroff plus limiters | ||
clawdata.order = 2 | ||
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# Use dimensional splitting? (not yet available for AMR) | ||
clawdata.dimensional_split = 'unsplit' | ||
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# For unsplit method, transverse_waves can be | ||
# 0 or 'none' ==> donor cell (only normal solver used) | ||
# 1 or 'increment' ==> corner transport of waves | ||
# 2 or 'all' ==> corner transport of 2nd order corrections too | ||
clawdata.transverse_waves = 2 | ||
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# Number of waves in the Riemann solution: | ||
clawdata.num_waves = 4 | ||
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# List of limiters to use for each wave family: | ||
# Required: len(limiter) == num_waves | ||
# Some options: | ||
# 0 or 'none' ==> no limiter (Lax-Wendroff) | ||
# 1 or 'minmod' ==> minmod | ||
# 2 or 'superbee' ==> superbee | ||
# 3 or 'vanleer' ==> van Leer | ||
# 4 or 'mc' ==> MC limiter | ||
clawdata.limiter = ['mc', 'mc', 'mc', 'mc'] | ||
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clawdata.use_fwaves = False # True ==> use f-wave version of algorithms | ||
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# Source terms splitting: | ||
# src_split == 0 or 'none' ==> no source term (src routine never called) | ||
# src_split == 1 or 'godunov' ==> Godunov (1st order) splitting used, | ||
# src_split == 2 or 'strang' ==> Strang (2nd order) splitting used, not recommended. | ||
clawdata.source_split = 0 | ||
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# -------------------- | ||
# Boundary conditions: | ||
# -------------------- | ||
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# Number of ghost cells (usually 2) | ||
clawdata.num_ghost = 2 | ||
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# Choice of BCs at xlower and xupper: | ||
# 0 or 'user' => user specified (must modify bcNamr.f to use this option) | ||
# 1 or 'extrap' => extrapolation (non-reflecting outflow) | ||
# 2 or 'periodic' => periodic (must specify this at both boundaries) | ||
# 3 or 'wall' => solid wall for systems where q(2) is normal velocity | ||
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clawdata.bc_lower[0] = 'extrap' # at xlower | ||
clawdata.bc_upper[0] = 'extrap' # at xupper | ||
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clawdata.bc_lower[1] = 'extrap' # at ylower | ||
clawdata.bc_upper[1] = 'extrap' # at yupper | ||
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return rundata | ||
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# end of function setrun | ||
# ---------------------- | ||
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if __name__ == '__main__': | ||
# Set up run-time parameters and write all data files. | ||
import sys | ||
rundata = setrun(*sys.argv[1:]) | ||
rundata.write() | ||
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