internship/swash/processing/read_swash.py

import subprocess
import tempfile

import numpy as np


class ReadSwash:
    def __init__(self):
        self._n_x = None
        self._n_t = None
        self._t = None
        self._x = None
        self._data = {}

    @classmethod
    def read_nohead(cls, path):
        with tempfile.TemporaryFile() as tmpfile:
            with open(path) as file:
                subprocess.run(("tr", "-d", "\n"), stdin=file, stdout=tmpfile)
            tmpfile.seek(0)
            return np.loadtxt(tmpfile)

    def read_time(self, path):
        self._t = np.unique(self.read_nohead(path))
        self._n_t = self._t.size
        return self.t

    def read_x(self, path):
        self._x = np.unique(self.read_nohead(path))
        self._n_x = self._x.size
        return self.x

    def read_scalar(self, path, const=False):
        if const:
            self._data[path.stem] = self.read_nohead(path).reshape(
                (self._n_t, self._n_x)
            )[0, :]
            return
        self._data[path.stem] = self.read_nohead(path).reshape(
            (self._n_t, self._n_x)
        )

    def read_vector(self, path):
        self._data[path.stem] = self.read_nohead(path).reshape(
            (self._n_t, 2, self._n_x)
        )

    def read_scalar_lay(self, path):
        self._data[path.stem] = self.read_nohead(path).reshape(
            (self._n_t, -1, self._n_x)
        )

    def read_vector_lay(self, path):
        self._data[path.stem] = self.read_nohead(path).reshape(
            (self._n_t, 2, -1, self._n_x)
        )

    @property
    def t(self):
        return self._t

    @property
    def x(self):
        return self._x

    @property
    def data(self):
        return self._data