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isort + black reformat

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This commit is contained in:
Edgar P. Burkhart 2022-03-29 09:47:45 +02:00
parent cf54c91fa8
commit 81f7a1299b
Signed by: edpibu
GPG key ID: 9833D3C5A25BD227
7 changed files with 32 additions and 41 deletions
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21
data/processing/projection.py
View file

@ -5,6 +5,7 @@ import pathlib
import numpy as np
from scipy import interpolate
try:
import matplotlib.pyplot as plt
except ImportError:
@ -49,9 +50,7 @@ log.debug(f"Cartesian bathy: {bathy}")
artha_curvi = np.array(
(config.getfloat("artha", "lon"), config.getfloat("artha", "lat"))
)
buoy_curvi = np.array(
(config.getfloat("buoy", "lon"), config.getfloat("buoy", "lat"))
)
buoy_curvi = np.array((config.getfloat("buoy", "lon"), config.getfloat("buoy", "lat")))
artha = np.asarray(projection.cartesian(*artha_curvi))
buoy = np.asarray(projection.cartesian(*buoy_curvi))
@ -91,12 +90,8 @@ log.debug(f"Hires crossing: {hires_crossing}")
z_crossing = np.diff(np.signbit(z - z_cr)).nonzero()[0][-1]
log.debug(f"Z crossing: {z_crossing}")
x_min_hires = x[z_crossing] + (
bathy_hires[:, 0].min() - bathy_hires[hires_crossing, 0]
)
x_max_hires = x[z_crossing] + (
bathy_hires[:, 0].max() - bathy_hires[hires_crossing, 0]
)
x_min_hires = x[z_crossing] + (bathy_hires[:, 0].min() - bathy_hires[hires_crossing, 0])
x_max_hires = x[z_crossing] + (bathy_hires[:, 0].max() - bathy_hires[hires_crossing, 0])
log.debug(f"Replacing range: [{x_min_hires},{x_max_hires}]")
flt_x = (x > x_min_hires) & (x < x_max_hires)
@ -114,21 +109,21 @@ else:
hstru_in = np.loadtxt(hstru_inp)[::-1]
hstru[flt_x] = interpolate.griddata(
(bathy_hires[:,0],),
(bathy_hires[:, 0],),
hstru_in,
(x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
)
poro_in = np.loadtxt(poro_inp)[::-1]
poro[flt_x] = interpolate.griddata(
(bathy_hires[:,0],),
(bathy_hires[:, 0],),
poro_in,
(x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
)
psize_in = np.loadtxt(psize_inp)[::-1]
psize[flt_x] = interpolate.griddata(
(bathy_hires[:,0],),
(bathy_hires[:, 0],),
psize_in,
(x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
)
@ -141,5 +136,5 @@ np.savetxt(out_root.joinpath("psize.dat"), psize[::-1], newline=" ")
if plt is not None and config.getboolean("out", "plot", fallback=False):
fig, ax = plt.subplots()
ax.plot(-x, z, color="k")
ax.fill_between(-x, z+hstru, z, color="k", alpha=.2)
ax.fill_between(-x, z + hstru, z, color="k", alpha=0.2)
fig.savefig(out_root.joinpath("bathy.pdf"))

12
data/processing/subdomain.py
View file

@ -17,12 +17,8 @@ log.info("Starting bathymetry pre-processing")
config = configparser.ConfigParser()
config.read(args.config)
artha = np.array(
(config.getfloat("artha", "lon"), config.getfloat("artha", "lat"))
)
buoy = np.array(
(config.getfloat("buoy", "lon"), config.getfloat("buoy", "lat"))
)
artha = np.array((config.getfloat("artha", "lon"), config.getfloat("artha", "lat")))
buoy = np.array((config.getfloat("buoy", "lon"), config.getfloat("buoy", "lat")))
log.debug(f"artha: {artha}")
log.debug(f"buoy: {buoy}")
@ -44,9 +40,7 @@ raw_bathy = np.loadtxt(bathy_inp)
log.debug(f"Initial size: {raw_bathy.shape}")
bathy = raw_bathy[
((raw_bathy[:, :2] > domain[0]) & (raw_bathy[:, :2] < domain[1])).all(
axis=1
)
((raw_bathy[:, :2] > domain[0]) & (raw_bathy[:, :2] < domain[1])).all(axis=1)
]
del raw_bathy
log.debug(f"Final size: {bathy.shape}")

4
olaflow/processing/bathy.py
View file

@ -7,9 +7,7 @@ import numpy as np
from .stl import stl_from_1d
parser = argparse.ArgumentParser(
description="Convert swash output to olaFlow input"
)
parser = argparse.ArgumentParser(description="Convert swash output to olaFlow input")
parser.add_argument("-v", "--verbose", action="count", default=0)
parser.add_argument("-c", "--config", default="config.ini")
args = parser.parse_args()

13
olaflow/processing/sws_ola.py
View file

@ -3,15 +3,13 @@ import configparser
import logging
import pathlib
import matplotlib.pyplot as plt
import numpy as np
from scipy import interpolate
import matplotlib.pyplot as plt
from .olaflow import OFModel
parser = argparse.ArgumentParser(
description="Convert swash output to olaFlow input"
)
parser = argparse.ArgumentParser(description="Convert swash output to olaFlow input")
parser.add_argument("-v", "--verbose", action="count", default=0)
parser.add_argument("-c", "--config", default="config.ini")
args = parser.parse_args()
@ -24,9 +22,12 @@ config = configparser.ConfigParser()
config.read(args.config)
sws_out = pathlib.Path(config.get("swash", "np_out"))
def data(var):
return np.load(sws_out.joinpath(f"{var}.npy"))
x = data("xp")
t = data("tsec")
@ -43,7 +44,7 @@ watl_t = interpolate.interp1d(x, watl[680])
alpha_water = np.where(model.z < watl_t(model.x), 1, 0)
zk_t = interpolate.interp1d(x, zk[680])
velk_t = interpolate.interp1d(x, velk[680,:,0,:])(model.x)
velk_t = interpolate.interp1d(x, velk[680, :, 0, :])(model.x)
vz_t = interpolate.interp1d(x, vz[680])(model.x)
zk_tl = zk_t(model.x)
@ -56,6 +57,6 @@ for zk_l, velk_l, vz_l in zip(zk_tl, velk_t, vz_t):
ux = np.where(model.z < zk_l, velk_l, ux)
uz = np.where(model.z < zk_l, vz_l, uz)
print(np.stack((ux,uy,uz)).T)
print(np.stack((ux, uy, uz)).T)
model.write_field("alpha.water", alpha_water)
model.write_vector_field("U", np.stack((ux, uy, uz)).T)

2
swash/processing/animate.py
View file

@ -24,9 +24,11 @@ root = pathlib.Path(config.get("swash", "out"))
out = pathlib.Path(config.get("plot", "out"))
out.mkdir(exist_ok=True)
def data(var):
return np.load(inp.joinpath(f"{var}.npy"))
x = data("xp")
t = data("tsec")

1
swash/processing/layers.py
View file

@ -24,6 +24,7 @@ root = pathlib.Path(config.get("swash", "out"))
out = pathlib.Path(config.get("plot", "out"))
out.mkdir(exist_ok=True)
def data(var):
return np.load(inp.joinpath(f"{var}.npy"))

8
swash/processing/post.py
View file

@ -59,10 +59,10 @@ R = 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(
# 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"))
@ -92,10 +92,10 @@ if config.has_option("post", "compare"):
(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(
# R_ = np.sqrt(
# (1 + G_**2 - 2 * G_ * np.cos(th_eta_u_))
# / (1 + G_**2 + 2 * G_ * np.cos(th_eta_u_))
#)
# )
# Plotting