Added a pre-commit config file and reformatted all the files accordingly by using it.

这个提交包含在:
Sai-Suraj-27
2023-06-26 16:09:39 +05:30
父节点 c71e87e34f
当前提交 f9dd7f2420
共有 155 个文件被更改,包括 11383 次插入8802 次删除

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@@ -26,80 +26,85 @@ import numpy as np
logger = logging.getLogger(__name__)
"""Plots a comparison of fields between given simulation output and experimental
"""Plots a comparison of fields between given simulation output and experimental
data files.
"""
# Parse command line arguments
parser = argparse.ArgumentParser(description='Plots a comparison of fields between ' +
'given simulation output and experimental data files.',
usage='cd gprMax; python -m testing.test_experimental modelfile realfile output')
parser.add_argument('modelfile', help='name of model output file including path')
parser.add_argument('realfile', help='name of file containing experimental data including path')
parser.add_argument('output', help='output to be plotted, i.e. Ex Ey Ez', nargs='+')
parser = argparse.ArgumentParser(
description="Plots a comparison of fields between " + "given simulation output and experimental data files.",
usage="cd gprMax; python -m testing.test_experimental modelfile realfile output",
)
parser.add_argument("modelfile", help="name of model output file including path")
parser.add_argument("realfile", help="name of file containing experimental data including path")
parser.add_argument("output", help="output to be plotted, i.e. Ex Ey Ez", nargs="+")
args = parser.parse_args()
modelfile = Path(args.modelfile)
realfile = Path(args.realfile)
# Model results
f = h5py.File(Path(modelfile), 'r')
path = '/rxs/rx1/'
f = h5py.File(Path(modelfile), "r")
path = "/rxs/rx1/"
availablecomponents = list(f[path].keys())
# Check for polarity of output and if requested output is in file
if args.output[0][0] == 'm':
if args.output[0][0] == "m":
polarity = -1
args.outputs[0] = args.output[0][1:]
else:
polarity = 1
if args.output[0] not in availablecomponents:
logger.exception(f"{args.output[0]} output requested to plot, but the " +
f"available output for receiver 1 is {', '.join(availablecomponents)}")
logger.exception(
f"{args.output[0]} output requested to plot, but the "
+ f"available output for receiver 1 is {', '.join(availablecomponents)}"
)
raise ValueError
floattype = f[path + args.output[0]].dtype
iterations = f.attrs['Iterations']
dt = f.attrs['dt']
iterations = f.attrs["Iterations"]
dt = f.attrs["dt"]
model = np.zeros(iterations, dtype=floattype)
model = f[path + args.output[0]][:] * polarity
model /= np.amax(np.abs(model))
timemodel = np.linspace(0, 1, iterations)
timemodel *= (iterations * dt)
timemodel *= iterations * dt
f.close()
# Find location of maximum value from model
modelmax = np.where(np.abs(model) == 1)[0][0]
# Real results
with open(realfile, 'r') as f:
with open(realfile, "r") as f:
real = np.loadtxt(f)
real[:, 1] = real[:, 1] / np.amax(np.abs(real[:, 1]))
realmax = np.where(np.abs(real[:, 1]) == 1)[0][0]
difftime = - (timemodel[modelmax] - real[realmax, 0])
difftime = -(timemodel[modelmax] - real[realmax, 0])
# Plot modelled and real data
fig, ax = plt.subplots(num=f'{modelfile.stem}_vs_{realfile.stem}',
figsize=(20, 10),
facecolor='w',
edgecolor='w',)
ax.plot(timemodel + difftime, model, 'r', lw=2, label='Model')
ax.plot(real[:, 0], real[:, 1], 'r', ls='--', lw=2, label='Experiment')
ax.set_xlabel('Time [s]')
ax.set_ylabel('Amplitude')
fig, ax = plt.subplots(
num=f"{modelfile.stem}_vs_{realfile.stem}",
figsize=(20, 10),
facecolor="w",
edgecolor="w",
)
ax.plot(timemodel + difftime, model, "r", lw=2, label="Model")
ax.plot(real[:, 0], real[:, 1], "r", ls="--", lw=2, label="Experiment")
ax.set_xlabel("Time [s]")
ax.set_ylabel("Amplitude")
ax.set_xlim([0, timemodel[-1]])
# ax.set_ylim([-1, 1])
ax.legend()
ax.grid()
# Save a PDF/PNG of the figure
savename = f'{modelfile.stem}_vs_{realfile.stem}'
savename = f"{modelfile.stem}_vs_{realfile.stem}"
savename = modelfile.parent / savename
# fig.savefig(savename.with_suffix('.pdf'), dpi=None, format='pdf',
# fig.savefig(savename.with_suffix('.pdf'), dpi=None, format='pdf',
# bbox_inches='tight', pad_inches=0.1)
# fig.savefig(savename.with_suffix('.png'), dpi=150, format='png',
# fig.savefig(savename.with_suffix('.png'), dpi=150, format='png',
# bbox_inches='tight', pad_inches=0.1)
plt.show()