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Switched to new storage convention for swash output in sws_ola

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This commit is contained in:
Edgar P. Burkhart 2022-03-28 09:44:35 +02:00
parent b557712372
commit 71049d49ea
Signed by: edpibu
GPG key ID: 9833D3C5A25BD227
63 changed files with 174 additions and 5717 deletions
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6
swash/.gitignore vendored
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/inp*
/out*
/swash_buoytoartha
version https://git-lfs.github.com/spec/v1
oid sha256:483eba7c2aaf6013155873bc675ab40e96c433a9c31b8dd056af8049c1f7d3c7
size 31

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swash/config.ini
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[proc]
#plot=True
[data]
root=data
hires=bathyhires.dat
bathy=buoyarthabathy.dat
hstru=Hstru.dat
poro=Poro.dat
psize=Psize.dat
out=out_data
out_nb=out_data_nb
[swash]
nb=True
input=sws/INPUT.sws
path=/opt/swash
out=out_sws
mpi=4
[post]
inp=inp_post
compare=inp_post_nb
out=out_post
#nperseg=1024
dt=0.25
x0=-1250
t0=180
version https://git-lfs.github.com/spec/v1
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size 323

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swash/data/Hstru.dat Executable file → Normal file
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swash/data/Poro.dat Executable file → Normal file
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swash/data/Psize.dat Executable file → Normal file
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swash/data/bathyhires.dat Executable file → Normal file
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swash/data/buoyarthabathy.dat Executable file → Normal file
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swash/processing/animate.py
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import argparse
import configparser
import logging
import pathlib
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
parser = argparse.ArgumentParser(description="Animate swash output")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("post")
log.info("Starting post-processing")
config = configparser.ConfigParser()
config.read("config.ini")
inp = pathlib.Path(config.get("post", "inp"))
root = pathlib.Path(config.get("swash", "out"))
bathy = pd.read_hdf(
pathlib.Path(config.get("data", "out")).joinpath("bathy.h5"), "bathy"
)
def data(var):
return np.load(inp.joinpath(f"{var}.npy"))
x = data("xp")
t = data("tsec")
watl = data("watl")
botl = data("botl")
wl = np.maximum(watl, -botl)
# print(x.size, -np.arange(0, 1 * bathy.hstru.size, 1)[::-1].size)
fig, ax = plt.subplots()
ax.plot(x, -botl, c="k")
# ax.fill_between(
# x, -botl, -data["botl"] + bathy.hstru, color="k", alpha=0.2
# )
(line,) = ax.plot(x, wl[0])
def animate(i):
line.set_ydata(wl[i])
return (line,)
ani = animation.FuncAnimation(
fig, animate, frames=wl[:, 0].size, interval=20, blit=True
)
plt.show(block=True)
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size 1316

96
swash/processing/bathy.py
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import argparse
import configparser
import logging
import pathlib
import sys
import numpy as np
import pandas as pd
try:
import matplotlib.pyplot as plt
except ImportError:
plt = None
parser = argparse.ArgumentParser(description="Pre-process bathymetry")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("bathy")
log.info("Starting bathymetry pre-processing")
config = configparser.ConfigParser()
config.read("config.ini")
root = pathlib.Path(config.get("data", "root"))
log.info(f"Reading input data from '{root}'")
bathy_hires = np.loadtxt(root.joinpath(config.get("data", "hires")))
bathy_lores = np.loadtxt(root.joinpath(config.get("data", "bathy")))
hstru = np.loadtxt(root.joinpath(config.get("data", "hstru")))
poro = np.loadtxt(root.joinpath(config.get("data", "poro")))
psize = np.loadtxt(root.joinpath(config.get("data", "psize")))
log.info("Generating grid")
x_hires = -np.arange(0, 0.5 * bathy_hires.size, 0.5)[::-1]
x_lores = -np.arange(0, 1 * bathy_lores.size, 1)[::-1]
x_hstru = -np.arange(0, 0.5 * hstru.size, 0.5)[::-1]
log.info("Generating output data")
bathy_hires_pd = pd.Series(bathy_hires.copy(), index=x_hires)
bathy_lores_pd = pd.Series(bathy_lores.copy(), index=x_lores)
bathy = pd.DataFrame(
index=bathy_lores_pd.index.union(bathy_hires_pd.index),
columns=("z", "hstru", "poro", "psize"),
data=0,
)
bathy.z[bathy_lores_pd.index] = bathy_lores_pd
bathy.z[bathy_hires_pd.index] = bathy_hires_pd
bathy.loc[x_hstru, ("hstru", "poro", "psize")] = np.array(
(hstru, poro, psize)
).T
bathy = bathy.reindex(bathy_lores_pd.index)
log.debug(f"Bathymetry:\n{bathy}")
log.info(
f"xmin: {bathy.index.min()}, "
f"xmax: {bathy.index.max()}, "
f"n: {bathy.index.size}"
)
if config.has_option("data", "out"):
out = pathlib.Path(config.get("data", "out"))
log.info(f"Writing output data to '{out}'")
out.mkdir(exist_ok=True)
np.savetxt(out.joinpath("bathy.dat"), bathy.z, newline=" ")
np.savetxt(out.joinpath("hstru.dat"), bathy.hstru, newline=" ")
np.savetxt(out.joinpath("poro.dat"), bathy.poro, newline=" ")
np.savetxt(out.joinpath("psize.dat"), bathy.psize, newline=" ")
bathy.to_hdf(out.joinpath("bathy.h5"), "bathy", mode="w")
if config.getboolean("proc", "plot", fallback=False):
if plt is None:
log.error("Could not import PyPlot")
sys.exit(1)
log.info("Plotting data")
fig, ax = plt.subplots()
ax.plot(x_hires, bathy_hires, label="High-res")
ax.plot(x_lores, bathy_lores, label="Low-res")
ax.plot(bathy.index, bathy.z, ls="-.", c="k", label="Combined")
ax.plot(bathy.index, bathy.z + bathy.hstru, label="Hstru")
ax.grid()
ax.legend()
plt.show(block=True)
log.info("Processing finished")
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size 2877

97
swash/processing/bathy_nb.py
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import argparse
import configparser
import logging
import pathlib
import sys
import numpy as np
import pandas as pd
try:
import matplotlib.pyplot as plt
except ImportError:
plt = None
parser = argparse.ArgumentParser(description="Pre-process bathymetry")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("bathy")
log.info("Starting bathymetry pre-processing")
config = configparser.ConfigParser()
config.read("config.ini")
root = pathlib.Path(config.get("data", "root"))
log.info(f"Reading input data from '{root}'")
bathy_hires = np.loadtxt(root.joinpath(config.get("data", "hires")))
bathy_lores = np.loadtxt(root.joinpath(config.get("data", "bathy")))
hstru = np.loadtxt(root.joinpath(config.get("data", "hstru")))
poro = np.loadtxt(root.joinpath(config.get("data", "poro")))
psize = np.loadtxt(root.joinpath(config.get("data", "psize")))
log.info("Generating grid")
x_hires = -np.arange(0, 0.5 * bathy_hires.size, 0.5)[::-1]
x_lores = -np.arange(0, 1 * bathy_lores.size, 1)[::-1]
x_hstru = -np.arange(0, 0.5 * hstru.size, 0.5)[::-1]
log.info("Generating output data")
bathy_hires_pd = pd.Series(bathy_hires.copy(), index=x_hires)
bathy_lores_pd = pd.Series(bathy_lores.copy(), index=x_lores)
bathy = pd.DataFrame(
index=bathy_lores_pd.index.union(bathy_hires_pd.index),
columns=("z", "hstru", "poro", "psize"),
data=0,
)
bathy.z[bathy_lores_pd.index] = bathy_lores_pd
bathy.z[bathy_hires_pd.index] = bathy_hires_pd
bathy.z = np.minimum(bathy.z, -15)
# bathy.loc[x_hstru, ("hstru", "poro", "psize")] = np.array(
# (hstru, poro, psize)
# ).T
bathy = bathy.reindex(bathy_lores_pd.index)
log.debug(f"Bathymetry:\n{bathy}")
log.info(
f"xmin: {bathy.index.min()}, "
f"xmax: {bathy.index.max()}, "
f"n: {bathy.index.size}"
)
if config.has_option("data", "out_nb"):
out = pathlib.Path(config.get("data", "out_nb"))
log.info(f"Writing output data to '{out}'")
out.mkdir(exist_ok=True)
np.savetxt(out.joinpath("bathy.dat"), bathy.z, newline=" ")
np.savetxt(out.joinpath("hstru.dat"), bathy.hstru, newline=" ")
np.savetxt(out.joinpath("poro.dat"), bathy.poro, newline=" ")
np.savetxt(out.joinpath("psize.dat"), bathy.psize, newline=" ")
bathy.to_hdf(out.joinpath("bathy.h5"), "bathy", mode="w")
if config.getboolean("proc", "plot", fallback=False):
if plt is None:
log.error("Could not import PyPlot")
sys.exit(1)
log.info("Plotting data")
fig, ax = plt.subplots()
ax.plot(x_hires, bathy_hires, label="High-res")
ax.plot(x_lores, bathy_lores, label="Low-res")
ax.plot(bathy.index, bathy.z, ls="-.", c="k", label="Combined")
ax.plot(bathy.index, bathy.z + bathy.hstru, label="Hstru")
ax.grid()
ax.legend()
plt.show(block=True)
log.info("Processing finished")
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95
swash/processing/layers.py
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import argparse
import configparser
import logging
import pathlib
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
parser = argparse.ArgumentParser(description="Animate swash output")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("post")
log.info("Starting post-processing")
config = configparser.ConfigParser()
config.read("config.ini")
inp = pathlib.Path(config.get("post", "inp"))
root = pathlib.Path(config.get("swash", "out"))
bathy = pd.read_hdf(
pathlib.Path(config.get("data", "out")).joinpath("bathy.h5"), "bathy"
)
def data(var):
return np.load(inp.joinpath(f"{var}.npy"))
x = data("xp")
t = data("tsec")
watl = data("watl")
botl = data("botl")
zk = data("zk")
velk = data("velk")
vz = data("vz")
wl = np.maximum(watl, -botl)
# print(x.size, -np.arange(0, 1 * bathy.hstru.size, 1)[::-1].size)
fig, ax = plt.subplots()
# ax.plot(x, -botl, c="k")
# ax.fill_between(
# x, -botl, -data["botl"] + bathy.hstru, color="k", alpha=0.2
# )
n = 0
vk = np.sqrt((velk[n] ** 2).sum(axis=1))
# print(vk.shape)
# plt.imshow(vk)
# plt.colorbar()
lines = ax.plot(x, zk[n].T, c="#0066cc")
quiv = []
for i in range(10):
quiv.append(
ax.quiver(
x[::50],
(zk[n, i, ::50] + zk[n, i + 1, ::50]) / 2,
velk[n, i, 0, ::50],
vz[n, i, ::50],
units="dots",
width=2,
scale=0.05,
)
)
ax.autoscale(True, "w", True)
ax.set_ylim(top=15)
def animate(k):
for i, q in enumerate(quiv):
q.set_UVC(
velk[k, i, 0, ::50],
vz[k, i, ::50],
)
for i, l in enumerate(lines):
l.set_ydata(zk[k, i])
return *quiv, *lines
ani = animation.FuncAnimation(
fig, animate, frames=wl[:, 0].size, interval=20, blit=True
)
plt.show(block=True)
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172
swash/processing/post.py
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import argparse
import configparser
import logging
import pathlib
import matplotlib.pyplot as plt
import numpy as np
import scipy.fft as fft
import scipy.signal as sgl
from .read_swash import *
parser = argparse.ArgumentParser(description="Post-process swash output")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("post")
log.info("Starting post-processing")
config = configparser.ConfigParser()
config.read("config.ini")
inp = pathlib.Path(config.get("post", "inp"))
root = pathlib.Path(config.get("swash", "out"))
log.info(f"Reading data from '{inp}'")
x = np.load(inp.joinpath("xp.npy"))
t = np.load(inp.joinpath("tsec.npy"))
botl = np.load(inp.joinpath("botl.npy"))
watl = np.load(inp.joinpath("watl.npy"))
vel = np.load(inp.joinpath("vel.npy"))
# Cospectral calculations
x0 = config.getint("post", "x0")
arg_x0 = np.abs(x - x0).argmin()
t0 = config.getfloat("post", "t0")
arg_t0 = np.abs(t - t0).argmin()
dt = config.getfloat("post", "dt")
f = 1 / dt
nperseg = config.getint("post", "nperseg", fallback=None)
log.info(f"Computing reflection coefficient at x={x0}")
eta = watl[t > t0, arg_x0]
u = vel[t > t0, 0, arg_x0]
phi_eta = sgl.welch(eta, f, nperseg=nperseg)
phi_u = sgl.welch(u, f, nperseg=nperseg)
phi_eta_u = sgl.csd(eta, u, f, nperseg=nperseg)
H = np.sqrt(np.abs(phi_eta[1]))
U = np.sqrt(np.abs(phi_u[1]))
G = H / U
th_eta_u = np.angle(phi_eta_u[1])
# R1 = np.sqrt(
# (np.abs(phi_eta[1]) + np.abs(phi_u[1]) - 2 * np.abs(phi_eta_u[1]))
# / (np.abs(phi_eta[1]) + np.abs(phi_u[1]) + 2 * np.abs(phi_eta_u[1]))
# )
R = np.sqrt(
(1 + G**2 - 2 * G * np.cos(th_eta_u))
/ (1 + G**2 + 2 * G * np.cos(th_eta_u))
)
if config.has_option("post", "compare"):
inp_comp = pathlib.Path(config.get("post", "compare"))
x_ = np.load(inp_comp.joinpath("xp.npy"))
t_ = np.load(inp_comp.joinpath("tsec.npy"))
botl_ = np.load(inp_comp.joinpath("botl.npy"))
watl_ = np.load(inp_comp.joinpath("watl.npy"))
vel_ = np.load(inp_comp.joinpath("vel.npy"))
arg_x0_ = np.abs(x_ - x0).argmin()
arg_t0_ = np.abs(t_ - t0).argmin()
eta_ = watl_[t_ > t0, arg_x0_]
u_ = vel_[t_ > t0, 0, arg_x0_]
phi_eta_ = sgl.welch(eta_, f, nperseg=nperseg)
phi_u_ = sgl.welch(u_, f, nperseg=nperseg)
phi_eta_u_ = sgl.csd(eta_, u_, f, nperseg=nperseg)
H_ = np.sqrt(np.abs(phi_eta_[1]))
U_ = np.sqrt(np.abs(phi_u_[1]))
G_ = H_ / U_
th_eta_u_ = np.angle(phi_eta_u_[1])
R_ = np.sqrt(
(1 + G_**2 - 2 * G_ * np.cos(th_eta_u_))
/ (1 + G_**2 + 2 * G_ * np.cos(th_eta_u_))
)
# Plotting
log.info("Plotting results")
fig, (ax_watl, ax_vel) = plt.subplots(2)
ax_watl.plot(t, watl[:, arg_x0], lw=1, label="watl")
ax_watl.set(xlabel="t (s)", ylabel="z (m)")
ax_watl.autoscale(axis="x", tight=True)
ax_watl.grid()
ax_watl.axvline(t0, c="k", alpha=0.2)
ax_vel.plot(t, vel[:, 0, arg_x0], lw=1, label="vel")
ax_vel.set(xlabel="t (s)", ylabel="U (m/s)")
ax_vel.autoscale(axis="x", tight=True)
ax_vel.grid()
ax_vel.axvline(t0, c="k", alpha=0.2)
fig.tight_layout()
fig_r, ax_r = plt.subplots()
ax_fft = ax_r.twinx()
ax_fft.plot(
*sgl.welch(eta, 1 / dt, nperseg=nperseg),
lw=1,
c="k",
alpha=0.2,
label="PSD ($\\eta$, cas 1)",
)
ax_r.plot(phi_eta[0], R, marker="+", label="R (cas 1)")
if config.has_option("post", "compare"):
ax_fft.plot(
*sgl.welch(eta_, 1 / dt, nperseg=nperseg),
lw=1,
c="k",
alpha=0.2,
label="PSD ($\\eta$, cas 2)",
)
ax_r.plot(phi_eta[0], R_, marker="+", label="R (cas 2)")
ax_r.set(xlim=(0, 0.3), ylim=(0, 1), xlabel="f (Hz)", ylabel="R")
ax_fft.set(ylim=0, ylabel="PSD (m²/Hz)")
ax_r.grid()
ax_r.legend(loc="upper left")
ax_fft.legend(loc="upper right")
fig_r.tight_layout()
fig_x, ax_x = plt.subplots(figsize=(10, 1))
ax_x.plot(x, -botl, color="k")
ax_x.plot(
x,
np.maximum(watl[arg_t0, :], -botl),
)
if config.has_option("post", "compare"):
ax_x.plot(x, -botl_, color="k", ls="-.")
ax_x.plot(
x,
np.maximum(watl_[arg_t0, :], -botl_),
ls="-.",
)
ax_x.axvline(x0, c="k", alpha=0.2)
ax_x.set(xlabel="x (m)", ylabel="z (m)")
ax_x.autoscale(axis="x", tight=True)
ax_x.set(aspect="equal")
fig_x.tight_layout()
out = pathlib.Path(config.get("post", "out")).joinpath(f"t{t0}x{x0}")
log.info(f"Saving plots in '{out}'")
out.mkdir(parents=True, exist_ok=True)
fig.savefig(out.joinpath("t.png"))
fig_r.savefig(out.joinpath("R.png"))
fig_x.savefig(out.joinpath("x.png"))
plt.show(block=True)
log.info("Finished post-processing")
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size 4665

55
swash/processing/read_swash.py
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@ -1,52 +1,3 @@
import subprocess
import tempfile
import numpy as np
class ReadSwash:
def __init__(self):
self._n_x = None
self._n_t = None
self._t = None
self._x = None
@classmethod
def read_nohead(cls, path):
subprocess.run(("sed", "-i", r"s/ /\n/g", path))
return np.loadtxt(path)
def read_time(self, path):
self._t = np.unique(self.read_nohead(path))
self._n_t = self._t.size
return self.t
def read_x(self, path):
self._x = np.unique(self.read_nohead(path))
self._n_x = self._x.size
return self.x
def read_scalar(self, path, const=False):
if const:
return self.read_nohead(path).reshape((self._n_t, self._n_x))[0, :]
return self.read_nohead(path).reshape((self._n_t, self._n_x))
def read_const(self, path):
return self.read_scalar(path, const=True)
def read_vector(self, path):
return self.read_nohead(path).reshape((self._n_t, 2, self._n_x))
def read_scalar_lay(self, path):
return self.read_nohead(path).reshape((self._n_t, -1, self._n_x))
def read_vector_lay(self, path):
return self.read_nohead(path).reshape((self._n_t, -1, 2, self._n_x))
@property
def t(self):
return self._t
@property
def x(self):
return self._x
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size 1349

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swash/processing/swash.py
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@ -1,67 +1,3 @@
import argparse
import configparser
import logging
import os
import pathlib
import shutil
import subprocess
import sys
import tempfile
parser = argparse.ArgumentParser(description="Run swash model")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("swash")
log.info("Starting swash model")
config = configparser.ConfigParser()
config.read("config.ini")
inp = pathlib.Path(config.get("swash", "input"))
out = pathlib.Path(config.get("swash", "out"))
if out.exists():
log.error(f"Swash output '{out}' already exists")
sys.exit(1)
with tempfile.TemporaryDirectory(prefix="swash_", dir=".") as tmp_raw:
tmpdir = pathlib.Path(tmp_raw)
log.info(f"Copying files to '{tmpdir}'")
shutil.copy2(inp, tmpdir)
if config.getboolean("swash", "nb", fallback=False):
path = pathlib.Path(config.get("data", "out_nb"))
else:
path = pathlib.Path(config.get("data", "out"))
shutil.copytree(path, tmpdir, dirs_exist_ok=True)
if config.has_option("swash", "mpi"):
mpi = ("-mpi", config.get("swash", "mpi"))
log.info(f"Using mpi with {mpi}")
else:
mpi = ()
with open(tmpdir.joinpath("sws.log"), "w") as logfile:
log.info(f"Runing swash in '{tmpdir}'")
path = pathlib.Path(config.get("swash", "path"))
cmd = (path.joinpath("swashrun"), "-input", inp.name, *mpi)
log.info(f"Running {cmd}")
swash_run = subprocess.Popen(
cmd,
cwd=tmpdir,
stdout=logfile,
stderr=logfile,
env={"PATH": f"{path}:{os.environ['PATH']}"},
)
code = swash_run.wait()
if code != 0:
log.error(f"Swash returned error code {code}")
log.info(f"Moving swash output to '{out}'")
shutil.move(tmpdir, out)
log.info(f"Swash model finished successfully")
version https://git-lfs.github.com/spec/v1
oid sha256:b17bd29f45896e07ef9e48ab27c905158de21bdedc7b9ecbf1a7943e4af7ae70
size 1962

54
swash/processing/sws_npz.py
View file

@ -1,51 +1,3 @@
import argparse
import configparser
import logging
import pathlib
from multiprocessing.pool import ThreadPool
import numpy as np
import pandas as pd
from .read_swash import ReadSwash
parser = argparse.ArgumentParser(description="Convert swash output to numpy")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("sws_npz")
log.info("Starting sws -> npz converter")
config = configparser.ConfigParser()
config.read("config.ini")
sws_out = pathlib.Path(config.get("swash", "out"))
inp = pathlib.Path(config.get("post", "inp"))
log.info(f"Reading swash output from '{sws_out}'")
rsws = ReadSwash()
np.save(inp.joinpath("tsec"), rsws.read_time(sws_out.joinpath("tsec.dat")))
np.save(inp.joinpath("xp"), rsws.read_x(sws_out.joinpath("xp.dat")))
var = {
"dep": rsws.read_scalar,
"botl": rsws.read_const,
"watl": rsws.read_scalar,
"vel": rsws.read_vector,
"press": rsws.read_scalar,
"zk": rsws.read_scalar_lay,
"velk": rsws.read_vector_lay,
"vz": rsws.read_scalar_lay,
}
inp.mkdir(exist_ok=True)
with ThreadPool() as pool:
log.info("Converting all data")
pool.map(
lambda x: np.save(
inp.joinpath(x[0]),
x[1](sws_out.joinpath(x[0]).with_suffix(".dat")),
),
var.items(),
)
version https://git-lfs.github.com/spec/v1
oid sha256:f3b186f594089b65b3739d2f03855c691f45e0b2744e37196e07cdf60c896cfc
size 1393

61
swash/sws/INPUT.sws
View file

@ -1,58 +1,3 @@
$************************* GENERAL ***************************************
PROJ 'GW' 'T1'
SET NAUT
SET LEVEL 0.94
SET MAXERR 1
SET DEPMIN 0.001
MODE DYN ONED
$************************ GRIDS ***************************************
CGRID REG -1251 0 0 1251 0 1250 0
INPGRID BOT REG -1251 0 0 1250 0 1 0 $x0 y0 theta nx-1 ny-1 dx dy
VERT 10 $nb couches
READ BOTTOM -1 'bathy.dat' 3 0 FREE
INPGRID PORO REG -1251 0 0 1250 0 1 0
INPGRID PSIZ REG -1251 0 0 1250 0 1 0
INPGRID HSTRUC REG -1251 0 0 1250 0 1 0
READINP PORO 1 'poro.dat' 3 0 FREE
READINP PSIZ 1 'psize.dat' 3 0 FREE
READINP HSTRUC 1 'hstru.dat' 3 0 FREE
$*********************** BOUNDARIES ****************************************
INIT ZERO
BOUN SHAP JON SIG PEAK DSPR DEGR
BOUN SIDE W BTYPE WEAK SMOOT 10 SEC ADDBOUNDWAVE CON SPECT 1.55 13.3 0 0 CYCLE 20 MIN
BOUN SIDE E BTYPE SOMMERFELD
$*********************** PHYSICS *******************************************
BRE 0.6 0.2
FRICTION MANN 0.08
POROsity 4 200 1.1 13
VISC V KEPS
$*********************** NUMERICS ******************************************
NONHYD BOX 1.0 PREC ILU
DISCRET UPW MOM
TIMEI 0.2 0.6
$*********************** OUTPUTS *******************************************
SET OUTLEV 1
$BLOCK 'COMPGRID' HEAD 'test.txt' LAY 4 TSEC XP DEP BOTL WATL PRESS DISCH USTAR VEL VZ VELK ZK BRKP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'tsec.dat' TSEC OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'xp.dat' XP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'dep.dat' DEP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'botl.dat' BOTL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'watl.dat' WATL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'press.dat' PRESS OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'disch.dat' DISCH OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'ustar.dat' USTAR OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'vel.dat' VEL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'vz.dat' VZ OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'velk.dat' VELK OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'zk.dat' ZK OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'brkp.dat' BRKP OUTPUT 000000.00 0.25 SEC
COMPUTE 000000.000 0.015 SEC 003000.000 $timeini dtini unit timefin
STOP
version https://git-lfs.github.com/spec/v1
oid sha256:3f85c1b0ecdfa156bd0d04a7654abd412080df57aa4a24190bbaac57b0335a12
size 2300

61
swash/sws/SPEC_buoy.sws
View file

@ -1,58 +1,3 @@
$************************* GENERAL ***************************************
PROJ 'GW' 'T1'
SET NAUT
SET LEVEL 4.5
SET MAXERR 1
SET DEPMIN 0.001
MODE DYN ONED
$************************ GRIDS ***************************************
CGRID REG -1250 0 0 1250 0 1250 0
INPGRID BOT REG -1250 0 0 1250 0 1 0 $x0 y0 theta nx-1 ny-1 dx dy
VERT 10 $nb couches
READ BOTTOM -1 'bathy.dat' 3 0 FREE
INPGRID PORO REG -1251 0 0 1250 0 1 0
INPGRID PSIZ REG -1251 0 0 1250 0 1 0
INPGRID HSTRUC REG -1251 0 0 1250 0 1 0
READINP PORO 1 'poro.dat' 3 0 FREE
READINP PSIZ 1 'psize.dat' 3 0 FREE
READINP HSTRUC 1 'hstru.dat' 3 0 FREE
$*********************** BOUNDARIES ****************************************
INIT ZERO
BOUN SHAP JON SIG PEAK DSPR DEGR
BOUN SIDE W BTYPE WEAK SMOOT 10 SEC ADDBOUNDWAVE CON SPECT 7.31 16.9 0 0 CYCLE 20 MIN
BOUN SIDE E BTYPE SOMMERFELD
$*********************** PHYSICS *******************************************
BRE 0.6 0.2
FRICTION MANN 0.08
POROsity 4 200 1.1 13
VISC V KEPS
$*********************** NUMERICS ******************************************
NONHYD BOX 1.0 PREC ILU
DISCRET UPW MOM
TIMEI 0.2 0.6
$*********************** OUTPUTS *******************************************
SET OUTLEV 1
$BLOCK 'COMPGRID' HEAD 'test.txt' LAY 4 TSEC XP DEP BOTL WATL PRESS DISCH USTAR VEL VZ VELK ZK BRKP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'tsec.dat' TSEC OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'xp.dat' XP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'dep.dat' DEP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'botl.dat' BOTL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'watl.dat' WATL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'press.dat' PRESS OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'disch.dat' DISCH OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'ustar.dat' USTAR OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'vel.dat' VEL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'vz.dat' VZ OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'velk.dat' VELK OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'zk.dat' ZK OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'brkp.dat' BRKP OUTPUT 000000.00 0.25 SEC
COMPUTE 000000.000 0.015 SEC 002500.000 $timeini dtini unit timefin
STOP
version https://git-lfs.github.com/spec/v1
oid sha256:ce3044df5425b1858aada8e6a1aab3f081f0b48151902c66a3c02f0463f13d98
size 2299

62
swash/sws/SPEC_buoy_nb.sws
View file

@ -1,59 +1,3 @@
$************************* GENERAL ***************************************
PROJ 'GW' 'T1'
SET NAUT
SET LEVEL 4.5
SET MAXERR 1
SET DEPMIN 0.001
MODE DYN ONED
$************************ GRIDS ***************************************
CGRID REG -1250 0 0 1250 0 1250 0
INPGRID BOT REG -1250 0 0 1250 0 1 0 $x0 y0 theta nx-1 ny-1 dx dy
VERT 10 $nb couches
READ BOTTOM -1 'bathy.dat' 3 0 FREE
INPGRID PORO REG -1251 0 0 1250 0 1 0
INPGRID PSIZ REG -1251 0 0 1250 0 1 0
INPGRID HSTRUC REG -1251 0 0 1250 0 1 0
READINP PORO 1 'poro.dat' 3 0 FREE
READINP PSIZ 1 'psize.dat' 3 0 FREE
READINP HSTRUC 1 'hstru.dat' 3 0 FREE
$*********************** BOUNDARIES ****************************************
INIT ZERO
BOUN SHAP JON SIG PEAK DSPR DEGR
BOUN SIDE W BTYPE WEAK SMOOT 10 SEC ADDBOUNDWAVE CON SPECT 7.31 16.9 0 0 CYCLE 20 MIN
BOUN SIDE E BTYPE SOMMERFELD
SPON E 250
$*********************** PHYSICS *******************************************
BRE 0.6 0.2
FRICTION MANN 0.08
POROsity 4 200 1.1 13
VISC V KEPS
$*********************** NUMERICS ******************************************
NONHYD BOX 1.0 PREC ILU
DISCRET UPW MOM
TIMEI 0.2 0.6
$*********************** OUTPUTS *******************************************
SET OUTLEV 1
$BLOCK 'COMPGRID' HEAD 'test.txt' LAY 4 TSEC XP DEP BOTL WATL PRESS DISCH USTAR VEL VZ VELK ZK BRKP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'tsec.dat' TSEC OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'xp.dat' XP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'dep.dat' DEP OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'botl.dat' BOTL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'watl.dat' WATL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'press.dat' PRESS OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'disch.dat' DISCH OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'ustar.dat' USTAR OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'vel.dat' VEL OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'vz.dat' VZ OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'velk.dat' VELK OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'zk.dat' ZK OUTPUT 000000.00 0.25 SEC
BLOCK 'COMPGRID' NOHEAD 'brkp.dat' BRKP OUTPUT 000000.00 0.25 SEC
COMPUTE 000000.000 0.015 SEC 002500.000 $timeini dtini unit timefin
STOP
version https://git-lfs.github.com/spec/v1
oid sha256:e307c866ed9c49575428171b676dfb21a1af867f99dab1c99aa095ab9520d5e2
size 2310