Exemplo n.º 1
0
def test_sort_particle_quantities(given, order, expected):
    given = given.split(",")
    expected = expected.split(",")
    actual = sort_particle_quantities(given, order=order)

    assert len(actual) == len(expected)
    assert all([a == b for a, b in zip(actual, expected)])
Exemplo n.º 2
0
Arquivo: hdf5.py Projeto: fyli16/nata
    def __init__(self, location=Union[str, Path]) -> None:
        self.location = (location
                         if isinstance(location, Path) else Path(location))

        info(f"Obtaining backend props for '{self.location}'")
        with h5.File(self.location, mode="r") as fp:
            self._dataset_name = fp.attrs["NAME"].astype(str)[0]
            self._num_particles = fp["q"].shape[0] if fp["q"].shape else 0

            # quantaties
            unordered_names = list(fp.attrs["QUANTS"].astype(str))
            unordered_labels = list(fp.attrs["LABELS"].astype(str))
            unordered_units = list(fp.attrs["UNITS"].astype(str))

            clean_names = [name for name in unordered_names if name != "tag"]
            clean_names = sort_particle_quantities(clean_names, ("x", "p"))

            clean_labels = [
                unordered_labels[unordered_names.index(s)] for s in clean_names
            ]
            clean_units = [
                unordered_units[unordered_names.index(s)] for s in clean_names
            ]
            dtype = [(name, fp[name].dtype) for name in clean_names]

            self._quantity_names = clean_names
            self._quantity_labels = clean_labels
            self._quantity_units = clean_units
            self._dtype = np.dtype(dtype)

            # temporal information
            self._iteration = fp.attrs["ITER"][0]
            self._time_step = fp.attrs["TIME"][0]
            self._time_unit = fp.attrs["TIME UNITS"].astype(str)[0]
Exemplo n.º 3
0
    def quantity_names(self) -> List[str]:
        info(f"Accessing '{self.location}' for 'quantity_names'")
        quantities = []

        with h5.File(self.location, mode="r") as fp:
            for key, item in fp.items():
                if key == "tag":
                    continue
                if isinstance(item, h5.Dataset):
                    quantities.append(key)

        return sort_particle_quantities(quantities, ["x", "p"])
Exemplo n.º 4
0
    def __init__(self, location: FileLocation) -> None:
        self.location = location if isinstance(location,
                                               Path) else Path(location)

        info(f"Obtaining backend props for '{self.location}'")
        with h5.File(self.location, mode="r") as fp:
            ds_name = fp.attrs["NAME"].astype(str)[0]

            # ensures name is valid identifier
            self._dataset_name = ds_name.replace(" ", "_")
            self._dataset_label = ds_name

            self._shape = fp["q"].shape
            self._ndim = len(self._shape)

            # find first all quantaties - with their names
            names = []
            for key, item in fp.items():
                if key == "tag":
                    continue

                if isinstance(item, h5.Dataset):
                    names.append(key)

            self._quantity_names = sort_particle_quantities(names, ("x", "p"))

            # iterate over all the sorted names and fill other props
            labels = []
            units = []
            dtype = []
            for name in self._quantity_names:
                labels.append(fp[name].attrs["LONG_NAME"].astype(str)[0])
                units.append(fp[name].attrs["UNITS"].astype(str)[0])
                dtype.append((name, fp[name].dtype))

            self._quantity_labels = labels
            self._quantity_units = units
            self._dtype = np.dtype(dtype)

            # temporal information
            self._iteration = fp.attrs["ITER"][0]
            self._time_step = fp.attrs["TIME"][0]
            self._time_unit = fp.attrs["TIME UNITS"].astype(str)[0]