Merge pull request #353 from Sai-Suraj-27/fix_1

Refactoring of some code to make it more readable and clean.
这个提交包含在:
Craig Warren
2023-06-27 10:43:48 +01:00
提交者 GitHub
当前提交 2da61bc3df
共有 18 个文件被更改,包括 81 次插入100 次删除

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@@ -111,7 +111,7 @@ class AddGrass(UserObjectGeometry):
if ys == yf or zs == zf:
logger.exception(f'{self.__str__()} dimensions are not specified correctly')
raise ValueError
if xs != volume.xs and xs != volume.xf:
if xs not in [volume.xs and volume.xf]:
logger.exception(f'{self.__str__()} must specify external surfaces on a fractal box')
raise ValueError
fractalrange = (round_value(limits[0] / grid.dx), round_value(limits[1] / grid.dx))
@@ -130,10 +130,10 @@ class AddGrass(UserObjectGeometry):
requestedsurface = 'xplus'
elif ys == yf:
if xs == xf or zs == zf:
if zs == zf:
logger.exception(f'{self.__str__()} dimensions are not specified correctly')
raise ValueError
if ys != volume.ys and ys != volume.yf:
if ys not in [volume.ys and volume.yf]:
logger.exception(f'{self.__str__()} must specify external surfaces on a fractal box')
raise ValueError
fractalrange = (round_value(limits[0] / grid.dy), round_value(limits[1] / grid.dy))
@@ -152,10 +152,7 @@ class AddGrass(UserObjectGeometry):
requestedsurface = 'yplus'
elif zs == zf:
if xs == xf or ys == yf:
logger.exception(f'{self.__str__()} dimensions are not specified correctly')
raise ValueError
if zs != volume.zs and zs != volume.zf:
if zs not in [volume.zs and volume.zf]:
logger.exception(f'{self.__str__()} must specify external surfaces on a fractal box')
raise ValueError
fractalrange = (round_value(limits[0] / grid.dz), round_value(limits[1] / grid.dz))
@@ -227,7 +224,7 @@ class AddGrass(UserObjectGeometry):
surface.grass.append(g)
# Check to see if grass has been already defined as a material
if not any(x.ID == 'grass' for x in grid.materials):
if all(x.ID == 'grass' for x in grid.materials):
create_grass(grid)
# Check if time step for model is suitable for using grass

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@@ -118,7 +118,7 @@ class AddSurfaceRoughness(UserObjectGeometry):
if ys == yf or zs == zf:
logger.exception(f'{self.__str__()} dimensions are not specified correctly')
raise ValueError
if xs != volume.xs and xs != volume.xf:
if xs not in [volume.xs, volume.xf]:
logger.exception(f'{self.__str__()} can only be used on the external ' +
'surfaces of a fractal box')
raise ValueError
@@ -144,10 +144,10 @@ class AddSurfaceRoughness(UserObjectGeometry):
requestedsurface = 'xplus'
elif ys == yf:
if xs == xf or zs == zf:
if zs == zf:
logger.exception(f'{self.__str__()} dimensions are not specified correctly')
raise ValueError
if ys != volume.ys and ys != volume.yf:
if ys not in [volume.ys and volume.yf]:
logger.exception(f'{self.__str__()} can only be used on the external ' +
'surfaces of a fractal box')
raise ValueError
@@ -173,10 +173,7 @@ class AddSurfaceRoughness(UserObjectGeometry):
requestedsurface = 'yplus'
elif zs == zf:
if xs == xf or ys == yf:
logger.exception(f'{self.__str__()} dimensions are not specified correctly')
raise ValueError
if zs != volume.zs and zs != volume.zf:
if zs not in [volume.zs and volume.zf]:
logger.exception(f'{self.__str__()} can only be used on the external ' +
'surfaces of a fractal box')
raise ValueError

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@@ -140,12 +140,11 @@ class FractalBox(UserObjectGeometry):
logger.exception(f'{self.__str__()} must be used with more than ' +
'one material from the mixing model.')
raise ValueError
if isinstance(mixingmodel, ListMaterial):
if nbins > len(mixingmodel.mat):
logger.exception(f'{self.__str__()} too many materials/bins ' +
'requested compared to materials in ' +
'mixing model.')
raise ValueError
if isinstance(mixingmodel, ListMaterial) and nbins > len(mixingmodel.mat):
logger.exception(f'{self.__str__()} too many materials/bins ' +
'requested compared to materials in ' +
'mixing model.')
raise ValueError
# Create materials from mixing model as number of bins now known
# from fractal_box command.
mixingmodel.calculate_properties(nbins, grid)

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@@ -391,7 +391,7 @@ class HertzianDipole(UserObjectMulti):
# Check if there is a waveformID in the waveforms list
if not any(x.ID == waveform_id for x in grid.waveforms):
if all(x.ID == waveform_id for x in grid.waveforms):
logger.exception(f'{self.params_str()} there is no waveform ' +
f'with the identifier {waveform_id}.')
raise ValueError
@@ -527,7 +527,7 @@ class MagneticDipole(UserObjectMulti):
# Check if there is a waveformID in the waveforms list
if not any(x.ID == waveform_id for x in grid.waveforms):
if all(x.ID == waveform_id for x in grid.waveforms):
logger.exception(f'{self.params_str()} there is no waveform ' +
f'with the identifier {waveform_id}.')
raise ValueError

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@@ -72,7 +72,7 @@ class ModelConfig:
# N.B. This will happen if the requested snapshots are too large to
# fit on the memory of the GPU. If True this will slow
# performance significantly.
if sim_config.general['solver'] == 'cuda' or sim_config.general['solver'] == 'opencl':
if sim_config.general['solver'] in ['cuda', 'opencl']:
if sim_config.general['solver'] == 'cuda':
devs = sim_config.args.gpu
elif sim_config.general['solver'] == 'opencl':

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@@ -53,7 +53,6 @@ class Context:
results: dict that can contain useful results/data from simulation.
"""
results = {}
self.tsimstart = timer()
self.print_logo_copyright()
print_host_info(config.sim_config.hostinfo)
@@ -88,7 +87,7 @@ class Context:
self.tsimend = timer()
self.print_sim_time_taken()
return results
return {}
def print_logo_copyright(self):
"""Prints gprMax logo, version, and copyright/licencing information."""

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@@ -214,10 +214,9 @@ def run_main(args):
# MPI running with (OpenMP/CUDA/OpenCL)
if config.sim_config.args.mpi:
context = MPIContext()
results = context.run()
# Standard running (OpenMP/CUDA/OpenCL)
else:
context = Context()
results = context.run()
results = context.run()
return results

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@@ -414,7 +414,7 @@ def dispersion_analysis(G):
# Find maximum significant frequency
if G.waveforms:
for waveform in G.waveforms:
if waveform.type == 'sine' or waveform.type == 'contsine':
if waveform.type in ['sine', 'contsine']:
results['maxfreq'].append(4 * waveform.freq)
elif waveform.type == 'impulse':

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@@ -278,12 +278,11 @@ def check_cmd_names(processedlines, checkessential=True):
lindex += 1
if checkessential:
if (countessentialcmds < len(essentialcmds)):
logger.exception('Your input file is missing essential commands ' +
'required to run a model. Essential commands are: ' +
', '.join(essentialcmds))
raise SyntaxError
if checkessential and countessentialcmds < len(essentialcmds):
logger.exception('Your input file is missing essential commands ' +
'required to run a model. Essential commands are: ' +
', '.join(essentialcmds))
raise SyntaxError
return singlecmds, multiplecmds, geometry

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@@ -1056,7 +1056,6 @@ class OpenCLUpdates:
self.grid.Hx_dev,
self.grid.Hy_dev,
self.grid.Hz_dev)
event.wait()
# If there are any dispersive materials do 1st part of dispersive update
# (it is split into two parts as it requires present and updated electric field values).
@@ -1076,7 +1075,8 @@ class OpenCLUpdates:
self.grid.Hx_dev,
self.grid.Hy_dev,
self.grid.Hz_dev)
event.wait()
event.wait()
def update_electric_pml(self):
"""Updates electric field components with the PML correction."""
@@ -1158,7 +1158,6 @@ class OpenCLUpdates:
# if iteration == self.grid.iterations - 1:
# return self.drv.mem_get_info()[1] - self.drv.mem_get_info()[0]
logger.debug('Look at memory estimate for pyopencl')
pass
def calculate_solve_time(self):
"""Calculates solving time for model."""

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@@ -3,9 +3,11 @@
receiver at the centre.
"""
from pathlib import Path
import gprMax
import itertools
# File path for output
fn = Path(__file__)
@@ -17,38 +19,36 @@ ompthreads = [1, 2, 4, 8, 16, 32, 64, 128]
scenes = []
for d in domains:
for threads in ompthreads:
# Discretisation
dl = 0.001
# Discretisation
dl = 0.001
for d, threads in itertools.product(domains, ompthreads):
# Domain
x = d
y = x
z = x
# Domain
x = d
y = x
z = x
scene = gprMax.Scene()
scene = gprMax.Scene()
title = gprMax.Title(name=fn.with_suffix('').name)
domain = gprMax.Domain(p1=(x, y, z))
dxdydz = gprMax.Discretisation(p1=(dl, dl, dl))
time_window = gprMax.TimeWindow(time=3e-9)
wv = gprMax.Waveform(wave_type='gaussiandotnorm', amp=1, freq=900e6,
id='MySource')
src = gprMax.HertzianDipole(p1=(x/2, y/2, z/2), polarisation='x',
waveform_id='MySource')
title = gprMax.Title(name=fn.with_suffix('').name)
domain = gprMax.Domain(p1=(x, y, z))
dxdydz = gprMax.Discretisation(p1=(dl, dl, dl))
time_window = gprMax.TimeWindow(time=3e-9)
wv = gprMax.Waveform(wave_type='gaussiandotnorm', amp=1, freq=900e6,
id='MySource')
src = gprMax.HertzianDipole(p1=(x/2, y/2, z/2), polarisation='x',
waveform_id='MySource')
omp = gprMax.OMPThreads(n=threads)
omp = gprMax.OMPThreads(n=threads)
scene.add(title)
scene.add(domain)
scene.add(dxdydz)
scene.add(time_window)
scene.add(wv)
scene.add(src)
scene.add(omp)
scenes.append(scene)
scene.add(title)
scene.add(domain)
scene.add(dxdydz)
scene.add(time_window)
scene.add(wv)
scene.add(src)
scene.add(omp)
scenes.append(scene)
# Run model
gprMax.run(scenes=scenes, n=len(scenes), geometry_only=False, outputfile=fn, gpu=None)

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@@ -58,9 +58,9 @@ if epsr:
wavelength = v1 / f
# Print some useful information
logger.info('Centre frequency: {} GHz'.format(f / 1e9))
logger.info(f'Centre frequency: {f / 1000000000.0} GHz')
if epsr:
logger.info('Critical angle for Er {} is {} degrees'.format(epsr, thetac))
logger.info(f'Critical angle for Er {epsr} is {thetac} degrees')
logger.info('Wavelength: {:.3f} m'.format(wavelength))
logger.info('Observation distance(s) from {:.3f} m ({:.1f} wavelengths) to {:.3f} m ({:.1f} wavelengths)'.format(radii[0], radii[0] / wavelength, radii[-1], radii[-1] / wavelength))
logger.info('Theoretical boundary between reactive & radiating near-field (0.62*sqrt((D^3/wavelength): {:.3f} m'.format(0.62 * np.sqrt((D**3) / wavelength)))

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@@ -119,9 +119,7 @@ class Relaxation(object):
print(f"Approximating {self.name}"
f" using {self.number_of_debye_poles} Debye poles")
print(f"{self.name} parameters: ")
s = ''
for k, v in self.params.items():
s += f"{k:10s} = {v}\n"
s = ''.join(f"{k:10s} = {v}\n" for k, v in self.params.items())
print(s)
return f'{self.name}:\n{s}'
@@ -237,10 +235,10 @@ class Relaxation(object):
self.mu_sigma,
self.material_name))
print(material_prop[0], end="")
dispersion_prop = "#add_dispersion_debye: {}".format(len(tau))
dispersion_prop = f"#add_dispersion_debye: {len(tau)}"
for i in range(len(tau)):
dispersion_prop += " {} {}".format(weights[i], 10**tau[i])
dispersion_prop += " {}".format(self.material_name)
dispersion_prop += f" {weights[i]} {10**tau[i]}"
dispersion_prop += f" {self.material_name}"
print(dispersion_prop)
material_prop.append(dispersion_prop + '\n')
return material_prop
@@ -327,11 +325,10 @@ class Relaxation(object):
else:
sys.exit("Cannot save material properties "
f"in {os.path.join(fdir, 'my_materials.txt')}!")
fileH = open(file_path, "a")
fileH.write(f"## {output[0].split(' ')[-1]}")
fileH.writelines(output)
fileH.write("\n")
fileH.close()
with open(file_path, "a") as fileH:
fileH.write(f"## {output[0].split(' ')[-1]}")
fileH.writelines(output)
fileH.write("\n")
print(f"Material properties save at: {file_path}")
@@ -562,7 +559,7 @@ class Crim(Relaxation):
f" using {self.number_of_debye_poles} Debye poles")
print("CRIM parameters: ")
for i in range(len(self.volumetric_fractions)):
print("Material {}.:".format(i+1))
print(f"Material {i + 1}.:")
print("---------------------------------")
print(f"{'Vol. fraction':>27s} = {self.volumetric_fractions[i]}")
print(f"{'e_inf':>27s} = {self.materials[i][0]}")

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@@ -456,7 +456,6 @@ def DLS(logt, rl, im, freq):
d.imag, x[np.newaxis].T).T[0]
cost_i = np.sum(np.abs(ip-im))/len(im)
ee = np.mean(rl - rp)
if ee < 1:
ee = 1
ee = max(ee, 1)
cost_r = np.sum(np.abs(rp + ee - rl))/len(im)
return cost_i, cost_r, x, ee, rp, ip

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@@ -79,11 +79,10 @@ def mpl_plot(filename, outputs=Rx.defaultoutputs, fft=False, save=False):
time = np.linspace(0, (iterations - 1) * dt, num=iterations)
# Check for single output component when doing a FFT
if fft:
if not len(outputs) == 1:
logger.exception('A single output must be specified when using ' +
'the -fft option')
raise ValueError
if fft and not len(outputs) == 1:
logger.exception('A single output must be specified when using ' +
'the -fft option')
raise ValueError
# New plot for each receiver
for rx in range(1, nrx + 1):

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@@ -86,14 +86,14 @@ def mpl_plot(w, timewindow, dt, iterations, fft=False, save=False):
logging.info(f'Type: {w.type}')
logging.info(f'Maximum (absolute) amplitude: {np.max(np.abs(waveform)):g}')
if w.freq and not w.type == 'gaussian' and not w.type == 'impulse':
if w.freq and w.type != 'gaussian' and w.type != 'impulse':
logging.info(f'Centre frequency: {w.freq:g} Hz')
if (w.type == 'gaussian' or w.type == 'gaussiandot' or w.type == 'gaussiandotnorm'
or w.type == 'gaussianprime' or w.type == 'gaussiandoubleprime'):
if w.type in ['gaussian', 'gaussiandot', 'gaussiandotnorm',
'gaussianprime', 'gaussiandoubleprime']:
delay = 1 / w.freq
logging.info(f'Time to centre of pulse: {delay:g} s')
elif w.type == 'gaussiandotdot' or w.type == 'gaussiandotdotnorm' or w.type == 'ricker':
elif w.type in ['gaussiandotdot', 'gaussiandotdotnorm', 'ricker']:
delay = np.sqrt(2) / w.freq
logging.info(f'Time to centre of pulse: {delay:g} s')

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@@ -36,12 +36,11 @@ def generate_y(p1, p2, x):
def paint_y_axis(lines, pixels, x):
is_black = False
target_ys = list(map(lambda line: int(generate_y(line[0], line[1], x)), lines))
target_ys.sort()
target_ys = sorted(
map(lambda line: int(generate_y(line[0], line[1], x)), lines)
)
if len(target_ys) % 2:
distances = []
for i in range(len(target_ys) - 1):
distances.append(target_ys[i+1] - target_ys[i])
distances = [target_ys[i+1] - target_ys[i] for i in range(len(target_ys) - 1)]
# https://stackoverflow.com/a/17952763
min_idx = -min((x, -i) for i, x in enumerate(distances))[1]
del target_ys[min_idx]
@@ -54,7 +53,7 @@ def paint_y_axis(lines, pixels, x):
pixels[target_y][x] = True
is_black = not is_black
yi = target_y
assert is_black is False, 'an error has occured at x%s' % x
assert is_black is False, f'an error has occured at x{x}'
def generate_line_events(line_list):

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@@ -1,3 +1,4 @@
import itertools
import multiprocessing as mp
import sys
@@ -90,10 +91,7 @@ def triangle_to_intersecting_lines(triangle, height, pixels, lines):
y = int(same[0][1])
pixels[y][x] = True
else:
cross_lines = []
for a in above:
for b in below:
cross_lines.append((b, a))
cross_lines = [(b, a) for a, b in itertools.product(above, below)]
side1 = where_line_crosses_z(cross_lines[0][0], cross_lines[0][1], height)
side2 = where_line_crosses_z(cross_lines[1][0], cross_lines[1][1], height)
lines.append((side1, side2))