40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
import argparse
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import configparser
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import logging
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import pathlib
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import numpy as np
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import pandas as pd
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from .read_swash import ReadSwash
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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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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("config.ini")
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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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log.info(f"Reading swash output from '{sws_out}'")
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rsws = ReadSwash()
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rsws.read_time(sws_out.joinpath("tsec.dat"))
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rsws.read_x(sws_out.joinpath("xp.dat"))
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inp.mkdir(exist_ok=True)
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log.info(f"Wrinting output in '{inp}'")
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log.info("Reading 'dep'")
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np.save(inp.joinpath("dep"), rsws.read_scalar(sws_out.joinpath("dep.dat")))
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log.info("Reading 'botl'")
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np.save(inp.joinpath("botl"), rsws.read_scalar(sws_out.joinpath("botl.dat"),
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const=True))
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log.info("Reading 'watl'")
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np.save(inp.joinpath("watl"), rsws.read_scalar(sws_out.joinpath("watl.dat")))
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log.info("Reading 'vel'")
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np.save(inp.joinpath("vel"), rsws.read_vector(sws_out.joinpath("vel.dat")))
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