你已经派生过 gprMax
镜像自地址
https://gitee.com/sunhf/gprMax.git
已同步 2025-08-06 12:36:51 +08:00
89 行
3.5 KiB
Python
89 行
3.5 KiB
Python
import sys, os
|
|
import h5py
|
|
import numpy as np
|
|
import matplotlib as mpl
|
|
import matplotlib.pyplot as plt
|
|
from tools.plot_fields import plot_Ascan
|
|
|
|
"""Compare field outputs
|
|
|
|
Usage:
|
|
cd gprMax
|
|
python -m tests.test_compare_numerical path_to_new_file path_to_old_file
|
|
|
|
"""
|
|
|
|
newfile = sys.argv[1]
|
|
oldfile = sys.argv[2]
|
|
path = '/rxs/rx1/'
|
|
# Key refers to subplot location
|
|
fields = {0: 'Ex', 2: 'Ey', 4: 'Ez', 1: 'Hx', 3: 'Hy', 5: 'Hz'}
|
|
plotorder = list(fields.keys())
|
|
|
|
# New results
|
|
f = h5py.File(newfile, 'r')
|
|
floattype = f[path + 'Ex'].dtype
|
|
new = np.zeros((f.attrs['Iterations'], 6), dtype=floattype)
|
|
timenew = np.zeros((f.attrs['Iterations']), dtype=floattype)
|
|
timenew = np.arange(0, f.attrs['dt'] * f.attrs['Iterations'], f.attrs['dt']) / 1e-9
|
|
for ID, name in fields.items():
|
|
new[:,ID] = f[path + str(name)][:]
|
|
f.close()
|
|
|
|
# Old results
|
|
f = h5py.File(oldfile, 'r')
|
|
old = np.zeros((f.attrs['Iterations'], 6), dtype=floattype)
|
|
timeold = np.zeros((f.attrs['Iterations']), dtype=floattype)
|
|
timeold = np.arange(0, f.attrs['dt'] * f.attrs['Iterations'], f.attrs['dt']) / 1e-9
|
|
for ID, name in fields.items():
|
|
old[:,ID] = f[path + str(name)][:]
|
|
f.close()
|
|
|
|
# Differences
|
|
# In case there is any difference in the number of iterations, take the smaller
|
|
timesmallest = np.amin((timeold.shape, timenew.shape))
|
|
fieldssmallest = np.amin((old.shape[0], new.shape[0]))
|
|
|
|
threshold = 1e-4 # Threshold, below which ignore differences
|
|
diffs = np.zeros((fieldssmallest, 6), dtype=floattype)
|
|
for ID, name in fields.items():
|
|
max = np.amax(np.abs(new[:fieldssmallest,ID]))
|
|
if max < threshold:
|
|
diffs[:,ID] = 0
|
|
diffsum = 0
|
|
print('Detected differences of less than {} when comparing {} field component, therefore set as zero.'.format(threshold, fields[ID]))
|
|
else:
|
|
diffs[:,ID] = (np.abs(new[:fieldssmallest,ID] - old[:fieldssmallest,ID]) / max) * 100
|
|
diffsum = (np.sum(np.abs(new[:fieldssmallest,ID] - old[:fieldssmallest,ID])) / np.sum(np.abs(new[:fieldssmallest,ID]))) * 100
|
|
print('Total differences in field component {}: {:.1f}%'.format(name, diffsum))
|
|
|
|
# Plot new
|
|
fig1, plt1 = plot_Ascan(newfile + ' versus ' + oldfile, timenew, new[:,0], new[:,2], new[:,4], new[:,1], new[:,3], new[:,5])
|
|
|
|
# Add old and set legend
|
|
for index, ax in enumerate(fig1.axes):
|
|
if plotorder[index] in [0, 2, 4]:
|
|
ax.plot(timeold, old[:,plotorder[index]], 'r', label='old', lw=2, ls='--')
|
|
else:
|
|
ax.plot(timeold, old[:,plotorder[index]], label='old', lw=2, ls='--')
|
|
ax.set_xlim(0, timeold[-1])
|
|
handles, existlabels = ax.get_legend_handles_labels()
|
|
ax.legend(handles, ['Model (new code)', 'Model (old C code)'])
|
|
|
|
# Plots of differences
|
|
fig2, plt2 = plot_Ascan('Deltas: ' + newfile + ' versus ' + oldfile, timenew[:timesmallest], diffs[:,0], diffs[:,2], diffs[:,4], diffs[:,1], diffs[:,3], diffs[:,5])
|
|
[ax.set_xlim(0, timenew[timesmallest - 1]) for ax in fig2.axes]
|
|
[ax.set_ylim(0, np.ceil(np.amax(np.abs(diffs)))) for ax in fig2.axes]
|
|
ylabels = ['$E_x$', '$H_x$', '$E_y$', '$H_y$', '$E_z$', '$H_z$']
|
|
ylabels = [ylabel + ', percentage difference [%]' for ylabel in ylabels]
|
|
[ax.set_ylabel(ylabels[index]) for index, ax in enumerate(fig2.axes)]
|
|
|
|
# Show/print plots
|
|
savename = os.path.abspath(os.path.dirname(newfile)) + os.sep + os.path.splitext(os.path.split(newfile)[1])[0] + '_vs_' + os.path.splitext(os.path.split(oldfile)[1])[0]
|
|
#fig1.savefig(savename + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
|
|
#fig2.savefig(savename + '_diffs.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
|
|
plt1.show()
|
|
plt2.show()
|
|
|
|
|