Processing update to reduce memory usage
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45d07f8de0
commit
bb9dfe8603
2 changed files with 23 additions and 24 deletions
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@ -1,3 +1,6 @@
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import subprocess
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import tempfile
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import numpy as np
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@ -7,43 +10,44 @@ class ReadSwash:
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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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self._data = {}
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@classmethod
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def read_nohead(cls, path):
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with open(path) as file:
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return np.asarray(file.read().split(), dtype=np.float64)
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with open(path) as file, tempfile.TemporaryFile() as tmpfile:
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subprocess.run(("tr", "-d", "\n"), stdin=file, stdout=tmpfile)
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return np.loadtxt(tmpfile)
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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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self._data[path.stem] = self.read_nohead(path).reshape(
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return self.read_nohead(path).reshape(
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(self._n_t, self._n_x)
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)[0, :]
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return
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self._data[path.stem] = self.read_nohead(path).reshape(
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return self.read_nohead(path).reshape(
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(self._n_t, self._n_x)
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)
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def read_vector(self, path):
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self._data[path.stem] = self.read_nohead(path).reshape(
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return self.read_nohead(path).reshape(
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(self._n_t, 2, self._n_x)
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)
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def read_scalar_lay(self, path):
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self._data[path.stem] = self.read_nohead(path).reshape(
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return self.read_nohead(path).reshape(
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(self._n_t, -1, self._n_x)
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)
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def read_vector_lay(self, path):
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self._data[path.stem] = self.read_nohead(path).reshape(
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return self.read_nohead(path).reshape(
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(self._n_t, 2, -1, self._n_x)
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)
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@ -54,7 +58,3 @@ class ReadSwash:
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@property
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def x(self):
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return self._x
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@property
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def data(self):
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return self._data
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