Updated mat file conversion: layered, layered vectors...
This commit is contained in:
parent
fd555e413e
commit
65c8ac67cd
GPG Key ID:
9833D3C5A25BD227
|
|
@ -9,6 +9,8 @@ from multiprocessing.pool import ThreadPool
|
|||
import numpy as np
|
||||
import scipy.io as sio
|
||||
|
||||
from .read_mat import ReadSwash
|
||||
|
||||
parser = argparse.ArgumentParser(description="Convert swash output to numpy")
|
||||
parser.add_argument("-v", "--verbose", action="count", default=0)
|
||||
parser.add_argument("-c", "--config", default="config.ini")
|
||||
|
|
@ -26,48 +28,16 @@ inp = pathlib.Path(config.get("post", "inp"))
|
|||
inp.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
log.info(f"Reading swash output from '{sws_out}'")
|
||||
raw_tsec = sio.loadmat(sws_out.joinpath("tsec.mat"))
|
||||
i = np.fromiter(
|
||||
(k[5:] for k in raw_tsec.keys() if re.compile(r"^Tsec_").match(k)), dtype="U10"
|
||||
)
|
||||
t = np.fromiter((raw_tsec[f"Tsec_{k}"][0, 0] * 10**3 for k in i), dtype=np.uintc)
|
||||
np.save(inp.joinpath("t"), t)
|
||||
del raw_tsec
|
||||
raw_xp = sio.loadmat(sws_out.joinpath("xp.mat"), variable_names="Xp")
|
||||
x = raw_xp["Xp"][0]
|
||||
np.save(inp.joinpath("x"), x)
|
||||
del raw_xp
|
||||
|
||||
raw_botl = sio.loadmat(sws_out.joinpath("botl.mat"), variable_names="Botlev")
|
||||
botl = raw_botl["Botlev"][0]
|
||||
np.save(inp.joinpath("botl"), botl)
|
||||
del raw_botl, botl
|
||||
|
||||
raw_watl = sio.loadmat(sws_out.joinpath("watl.mat"))
|
||||
watl = np.asarray(
|
||||
[raw_watl[i0][0] for i0 in np.char.add("Watlev_", i)], dtype=np.single
|
||||
)
|
||||
np.save(inp.joinpath("watl"), watl)
|
||||
del raw_watl, watl
|
||||
|
||||
raw_vel = sio.loadmat(sws_out.joinpath("vel.mat"))
|
||||
vel_x = np.asarray([raw_vel[i0][0] for i0 in np.char.add("vel_x_", i)], dtype=np.single)
|
||||
np.save(inp.joinpath("vel_x"), vel_x)
|
||||
del raw_vel, vel_x
|
||||
|
||||
raw_zk = sio.loadmat(sws_out.joinpath("zk.mat"))
|
||||
n_zk = (len(raw_zk.keys()) - 3) // t.size
|
||||
zk = np.asarray(
|
||||
[
|
||||
raw_zk[i0][0]
|
||||
for i0 in np.char.add(
|
||||
np.char.replace("zki_", "i", np.arange(n_zk).astype("U1"), count=1)[
|
||||
None, :
|
||||
],
|
||||
i[:, None],
|
||||
).reshape(-1)
|
||||
],
|
||||
dtype=np.single,
|
||||
).reshape((t.size, n_zk, x.size))
|
||||
np.save(inp.joinpath("zk"), zk)
|
||||
del raw_zk, zk
|
||||
swr = ReadSwash(sws_out, inp)
|
||||
swr.save("t")
|
||||
swr.save("x")
|
||||
swr.save("c", "botl", "Botlev")
|
||||
swr.save("s", "watl", "Watlev")
|
||||
swr.save("s", "press", "Press")
|
||||
swr.save("v", "vel", "vel")
|
||||
swr.save("sk", "zk", "zk")
|
||||
swr.save("sk", "nhprsk", "Nprs_k")
|
||||
swr.save("sk", "pressk", "Pres_k")
|
||||
swr.save("sk", "vz", "w")
|
||||
swr.save("vk", "velk", "vel_k")
|
||||
|
|
|
|||
|
|
@ -0,0 +1,138 @@
|
|||
import logging
|
||||
import subprocess
|
||||
import tempfile
|
||||
|
||||
import numpy as np
|
||||
import scipy.io as sio
|
||||
|
||||
|
||||
log = logging.getLogger("read_mat")
|
||||
|
||||
|
||||
class ReadSwash:
|
||||
def __init__(self, root, out):
|
||||
self._root = root
|
||||
self._out = out
|
||||
self._n_x = None
|
||||
self._n_t = None
|
||||
self._i = None
|
||||
self._t = None
|
||||
self._x = None
|
||||
|
||||
def read_raw(self, var, var_names=None):
|
||||
res = sio.loadmat(self._root.joinpath(f"{var}.mat"), variable_names=var_names)
|
||||
res.pop("__header__")
|
||||
res.pop("__version__")
|
||||
res.pop("__globals__")
|
||||
return res
|
||||
|
||||
def read_t(self):
|
||||
raw_t = self.read_raw("tsec")
|
||||
self._i = np.char.lstrip(np.fromiter(raw_t.keys(), dtype="U15"), "Tsec_")
|
||||
self._t = np.fromiter(
|
||||
(raw_t[k][0, 0] * 10**3 for k in np.char.add("Tsec_", self._i)),
|
||||
dtype=np.uintc,
|
||||
)
|
||||
self._n_t = self._t.size
|
||||
return self.t
|
||||
|
||||
def read_x(self):
|
||||
self._x = self.read_const("xp", "Xp")
|
||||
self._n_x = self._x.size
|
||||
return self.x
|
||||
|
||||
def read_scalar(self, var, var_name):
|
||||
raw = self.read_raw(var)
|
||||
return np.asarray(
|
||||
[raw[i0][0] for i0 in np.char.add(f"{var_name}_", self._i)], dtype=np.single
|
||||
)
|
||||
|
||||
def read_const(self, var, var_name):
|
||||
raw = self.read_raw(var, var_name)
|
||||
return raw[var_name][0]
|
||||
|
||||
def read_vector(self, var, var_name):
|
||||
raw = self.read_raw(var)
|
||||
return (
|
||||
np.asarray(
|
||||
[raw[i0][0] for i0 in np.char.add(f"{var_name}_x_", self._i)],
|
||||
dtype=np.single,
|
||||
),
|
||||
np.asarray(
|
||||
[raw[i0][0] for i0 in np.char.add(f"{var_name}_y_", self._i)],
|
||||
dtype=np.single,
|
||||
),
|
||||
)
|
||||
|
||||
def read_scalar_lay(self, var, var_name):
|
||||
raw = self.read_raw(var)
|
||||
n = len(raw.keys()) // self._n_t
|
||||
ra = (n,) if f"{var_name}0_{self._i[0]}" in raw.keys() else (1, n + 1)
|
||||
return np.asarray(
|
||||
[
|
||||
raw[i0][0]
|
||||
for i0 in np.char.add(
|
||||
np.char.replace(f"{var_name}[]_", "[]", np.arange(*ra).astype("U1"))[
|
||||
None, :
|
||||
],
|
||||
self._i[:, None],
|
||||
).reshape(-1)
|
||||
],
|
||||
dtype=np.single,
|
||||
).reshape((self._n_t, n, self._n_x))
|
||||
|
||||
def read_vector_lay(self, var, var_name):
|
||||
raw = self.read_raw(var)
|
||||
n = len(raw.keys()) // (self._n_t * 2)
|
||||
ra = (n,) if f"{var_name}0_x_{self._i[0]}" in raw.keys() else (1, n + 1)
|
||||
return (
|
||||
np.asarray(
|
||||
[
|
||||
raw[i0][0]
|
||||
for i0 in np.char.add(
|
||||
np.char.replace(
|
||||
f"{var_name}[]_x_", "[]", np.arange(*ra).astype("U1")
|
||||
)[None, :],
|
||||
self._i[:, None],
|
||||
).reshape(-1)
|
||||
],
|
||||
dtype=np.single,
|
||||
).reshape((self._n_t, n, self._n_x)),
|
||||
np.asarray(
|
||||
[
|
||||
raw[i0][0]
|
||||
for i0 in np.char.add(
|
||||
np.char.replace(
|
||||
f"{var_name}[]_y_", "[]", np.arange(*ra).astype("U1")
|
||||
)[None, :],
|
||||
self._i[:, None],
|
||||
).reshape(-1)
|
||||
],
|
||||
dtype=np.single,
|
||||
).reshape((self._n_t, n, self._n_x)),
|
||||
)
|
||||
|
||||
def save(self, t, var=None, var_name=None):
|
||||
fct = {
|
||||
"t": self.read_t,
|
||||
"x": self.read_x,
|
||||
"s": self.read_scalar,
|
||||
"c": self.read_const,
|
||||
"v": self.read_vector,
|
||||
"sk": self.read_scalar_lay,
|
||||
"vk": self.read_vector_lay,
|
||||
}
|
||||
if t in ("x", "t"):
|
||||
log.info(f"Converting {t}")
|
||||
np.save(self._out.joinpath(t), fct[t]())
|
||||
else:
|
||||
log.info(f"Converting {var}")
|
||||
np.save(self._out.joinpath(var), fct[t](var, var_name))
|
||||
|
||||
@property
|
||||
def t(self):
|
||||
return self._t
|
||||
|
||||
@property
|
||||
def x(self):
|
||||
return self._x
|
||||
Loading…
Reference in New Issue