Update arguments for animate + black reformat
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parent
d8ef2cddfd
commit
d681acb703
4 changed files with 29 additions and 23 deletions
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@ -1,5 +1,4 @@
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import argparse
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import configparser
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import gzip
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import logging
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import multiprocessing as mp
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@ -16,16 +15,20 @@ from .olaflow import OFModel
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parser = argparse.ArgumentParser(description="Post-process olaflow results")
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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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parser.add_argument(
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"-o",
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"--output",
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type=pathlib.Path,
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help="Output directory for pickled data",
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required=True,
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)
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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("ola_post")
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log.info("Animating olaFlow output")
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config = configparser.ConfigParser()
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config.read(args.config)
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out = pathlib.Path(config.get("post", "out"))
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out = args.output
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out.mkdir(parents=True, exist_ok=True)
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with (
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@ -35,8 +38,6 @@ with (
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) as f:
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model = pickle.load(f)
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x0 = config.getfloat("post", "x")
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z0 = config.getfloat("post", "z")
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i0 = np.argmin(np.abs((model.x - x0) + 1j * (model.z - z0)))
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x0, idx0 = np.unique(model.x.astype(np.half), return_inverse=True)
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@ -54,7 +55,7 @@ U = np.full((model.t.size, *X.shape), np.nan)
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U[:, idz0, idx0] = np.linalg.norm(model.fields["U"], axis=1)
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fig = plt.figure(figsize=(19.2, 10.8), dpi=100)
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gs = GridSpec(3, 1, figure=fig, height_ratios=[1, .05, .05])
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gs = GridSpec(3, 1, figure=fig, height_ratios=[1, 0.05, 0.05])
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ax = fig.add_subplot(gs[0])
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cax1 = fig.add_subplot(gs[1])
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cax2 = fig.add_subplot(gs[2])
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@ -92,7 +93,7 @@ def anim(i):
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figU = plt.figure(figsize=(19.2, 10.8), dpi=100)
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gsU = GridSpec(3, 1, figure=figU, height_ratios=[1, .05, .05])
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gsU = GridSpec(3, 1, figure=figU, height_ratios=[1, 0.05, 0.05])
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axU = figU.add_subplot(gsU[0])
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caxu1 = figU.add_subplot(gsU[1])
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caxu2 = figU.add_subplot(gsU[2])
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@ -140,8 +141,8 @@ def animU(i):
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ur_m.set_alpha(1 - np.nan_to_num(AW[i]).clip(0, 1))
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ani = animation.FuncAnimation(fig, anim, frames=model.t.size, interval=1/24)
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aniU = animation.FuncAnimation(figU, animU, frames=model.t.size, interval=1/24)
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ani = animation.FuncAnimation(fig, anim, frames=model.t.size, interval=1 / 24)
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aniU = animation.FuncAnimation(figU, animU, frames=model.t.size, interval=1 / 24)
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ani.save(out.joinpath("anim.mp4"), fps=24)
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aniU.save(out.joinpath("animU.mp4"), fps=24)
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@ -1,5 +1,4 @@
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import argparse
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import configparser
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import gzip
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import logging
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import multiprocessing as mp
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@ -16,16 +15,20 @@ from .olaflow import OFModel
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parser = argparse.ArgumentParser(description="Post-process olaflow results")
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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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parser.add_argument(
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"-o",
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"--output",
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type=pathlib.Path,
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help="Output directory for pickled data",
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required=True,
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)
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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("ola_post")
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log.info("Animating olaFlow output")
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config = configparser.ConfigParser()
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config.read(args.config)
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out = pathlib.Path(config.get("post", "out"))
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out = args.output
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out.mkdir(parents=True, exist_ok=True)
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with (
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@ -35,9 +38,6 @@ with (
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) as f:
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model = pickle.load(f)
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x0 = config.getfloat("post", "x")
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z0 = config.getfloat("post", "z")
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flt = np.where((model.x >= -60) & (model.x <= -20) & (model.z >= 0) & (model.z <= 10))[
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0
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]
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@ -56,4 +56,6 @@ for i, (_ax, _model) in enumerate(zip(ax, models)):
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_ax.set(xlabel="t (s)", ylabel="z (m)", title=f"Case {i}")
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_ax.grid()
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fig.savefig(args.output[0].joinpath(f"diff_{'_'.join([o.name for o in args.output])}.pdf"))
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fig.savefig(
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args.output[0].joinpath(f"diff_{'_'.join([o.name for o in args.output])}.pdf")
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)
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@ -53,7 +53,9 @@ class OFModel:
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return _field
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def read_post(self, func, field):
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_ft = lambda _d: self._root.joinpath("postProcessing", func, _d, f"line_{field}.xy")
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_ft = lambda _d: self._root.joinpath(
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"postProcessing", func, _d, f"line_{field}.xy"
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)
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_res_0 = np.loadtxt(_ft(self._t_dirs[0]))
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_x = _res_0[:, 0]
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_res = np.empty((self._t.size, _x.size))
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@ -64,7 +66,8 @@ class OFModel:
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f"x_{field}": _x,
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field: _res,
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}
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if func not in self._post_fields.keys(): self._post_fields[func] = {}
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if func not in self._post_fields.keys():
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self._post_fields[func] = {}
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self._post_fields[func] |= _dict
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return _dict
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