73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
import argparse
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import configparser
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from datetime import datetime, time
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import logging
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import pathlib
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import re
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from multiprocessing.pool import ThreadPool
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import numpy as np
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import scipy.io as sio
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parser = argparse.ArgumentParser(description="Convert swash output to numpy")
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parser.add_argument("-v", "--verbose", action="count", default=0)
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parser.add_argument("-c", "--config", default="config.ini")
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args = parser.parse_args()
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logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
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log = logging.getLogger("sws_npz")
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log.info("Starting sws -> npz converter")
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config = configparser.ConfigParser()
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config.read(args.config)
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sws_out = pathlib.Path(config.get("swash", "out"))
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inp = pathlib.Path(config.get("post", "inp"))
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inp.mkdir(parents=True, exist_ok=True)
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log.info(f"Reading swash output from '{sws_out}'")
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raw_tsec = sio.loadmat(sws_out.joinpath("tsec.mat"))
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i = np.fromiter(
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(k[5:] for k in raw_tsec.keys() if re.compile(r"^Tsec_").match(k)), dtype="U10"
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)
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t = np.fromiter((raw_tsec[f"Tsec_{k}"][0, 0] * 10**3 for k in i), dtype=np.uintc)
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np.save(inp.joinpath("t"), t)
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del raw_tsec
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raw_xp = sio.loadmat(sws_out.joinpath("xp.mat"), variable_names="Xp")
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x = raw_xp["Xp"][0]
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np.save(inp.joinpath("x"), x)
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del raw_xp
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raw_botl = sio.loadmat(sws_out.joinpath("botl.mat"), variable_names="Botlev")
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botl = raw_botl["Botlev"][0]
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np.save(inp.joinpath("botl"), botl)
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del raw_botl, botl
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raw_watl = sio.loadmat(sws_out.joinpath("watl.mat"))
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watl = np.asarray(
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[raw_watl[i0][0] for i0 in np.char.add("Watlev_", i)], dtype=np.single
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)
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np.save(inp.joinpath("watl"), watl)
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del raw_watl, watl
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raw_vel = sio.loadmat(sws_out.joinpath("vel.mat"))
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vel_x = np.asarray([raw_vel[i0][0] for i0 in np.char.add("vel_x_", i)], dtype=np.single)
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np.save(inp.joinpath("vel_x"), vel_x)
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del raw_vel, vel_x
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raw_zk = sio.loadmat(sws_out.joinpath("zk.mat"))
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n_zk = (len(raw_zk.keys()) - 3) // t.size
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zk = np.asarray(
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[
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raw_zk[i0][0]
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for i0 in np.char.add(
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np.char.replace("zki_", "i", np.arange(n_zk).astype("U1"), count=1)[
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None, :
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],
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i[:, None],
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).reshape(-1)
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],
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dtype=np.single,
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).reshape((t.size, n_zk, x.size))
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np.save(inp.joinpath("zk"), zk)
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del raw_zk, zk
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