60 lines
1.4 KiB
Python
60 lines
1.4 KiB
Python
import logging
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import subprocess
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import tempfile
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import numpy as np
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log = logging.getLogger("read_swash")
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class ReadSwash:
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def __init__(self):
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self._n_x = None
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self._n_t = None
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self._t = None
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self._x = None
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@classmethod
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def read_nohead(cls, path):
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data = []
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with path.open() as inp:
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for line in inp:
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data += line.split()
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return np.asarray(data, dtype=float)
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def read_time(self, path):
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self._t = np.unique(self.read_nohead(path))
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self._n_t = self._t.size
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return self.t
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def read_x(self, path):
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self._x = np.unique(self.read_nohead(path))
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self._n_x = self._x.size
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return self.x
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def read_scalar(self, path, const=False):
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if const:
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return self.read_nohead(path).reshape((self._n_t, self._n_x))[0, :]
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return self.read_nohead(path).reshape((self._n_t, self._n_x))
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def read_const(self, path):
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return self.read_scalar(path, const=True)
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def read_vector(self, path):
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return self.read_nohead(path).reshape((self._n_t, 2, self._n_x))
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def read_scalar_lay(self, path):
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return self.read_nohead(path).reshape((self._n_t, -1, self._n_x))
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def read_vector_lay(self, path):
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return self.read_nohead(path).reshape((self._n_t, -1, 2, self._n_x))
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@property
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def t(self):
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return self._t
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@property
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def x(self):
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return self._x
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