50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
import argparse
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import configparser
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import logging
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from multiprocessing.pool import Pool
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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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np.save(inp.joinpath("tsec"), rsws.read_time(sws_out.joinpath("tsec.dat")))
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np.save(inp.joinpath("xp"), rsws.read_x(sws_out.joinpath("xp.dat")))
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var = {
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"dep": rsws.read_scalar,
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"botl": rsws.read_const,
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"watl": rsws.read_scalar,
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"vel": rsws.read_vector,
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"press": rsws.read_scalar,
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"zk": rsws.read_scalar_lay,
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"velk": rsws.read_vector_lay,
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}
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inp.mkdir(exist_ok=True)
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with Pool() as pool:
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log.info("Converting all data")
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pool.map(
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lambda x: np.save(
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inp.joinpath(x[0]), x[1](sws_out.joinpath(x[0]).with_suffix(".dat"))
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),
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var.items(),
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)
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