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import numpy as np
import pytest
import meshio
from . import helpers
test_set_full = [
helpers.empty_mesh,
helpers.line_mesh,
helpers.tri_mesh,
helpers.line_tri_mesh,
helpers.tri_mesh_2d,
helpers.triangle6_mesh,
helpers.quad_mesh,
helpers.quad8_mesh,
helpers.tri_quad_mesh,
helpers.tet_mesh,
helpers.tet10_mesh,
helpers.hex_mesh,
helpers.hex20_mesh,
helpers.pyramid_mesh,
helpers.wedge_mesh,
helpers.add_point_data(helpers.tri_mesh, 1),
helpers.add_cell_data(helpers.tri_mesh, [("a", (), np.float64)]),
]
test_set_reduced = [
helpers.tri_mesh,
helpers.tri_mesh_2d,
helpers.quad_mesh,
helpers.tri_quad_mesh,
helpers.tet_mesh,
helpers.hex_mesh,
helpers.add_point_data(helpers.tri_mesh, 1),
helpers.add_cell_data(helpers.tri_mesh, [("a", (), np.float64)]),
]
@pytest.mark.parametrize("mesh", test_set_full)
@pytest.mark.parametrize(
"kwargs0",
[
{"data_format": "XML"},
{"data_format": "Binary"},
{"data_format": "HDF", "compression": None},
{"data_format": "HDF", "compression": "gzip"},
],
)
def test_xdmf3(mesh, kwargs0, tmp_path):
def write(*args, **kwargs):
return meshio.xdmf.write(*args, **{**kwargs0, **kwargs})
helpers.write_read(tmp_path, write, meshio.xdmf.read, mesh, 1.0e-14)
def test_generic_io(tmp_path):
helpers.generic_io(tmp_path / "test.xdmf")
# With additional, insignificant suffix:
helpers.generic_io(tmp_path / "test.0.xdmf")
@pytest.mark.parametrize("mesh", [mesh for mesh in test_set_full if mesh != helpers.empty_mesh])
def test_time_series(mesh):
# write the data
filename = "out.xdmf"
with meshio.xdmf.TimeSeriesWriter(filename) as writer:
writer.write_points_cells(mesh.points, mesh.cells)
n = mesh.points.shape[0]
times = np.linspace(0.0, 1.0, 5)
point_data = [
{
"phi": np.full(n, t),
"u": np.full(mesh.points.shape, t),
}
for t in times
]
cell_data = [
{
"a": [np.full(c.data.shape[0], t) for c in mesh.cells],
"b": [np.full(c.data.shape[0], t) for c in mesh.cells]
}
for t in times
]
for t, pd, cd in zip(times, point_data, cell_data):
writer.write_data(
t, point_data=pd, cell_data=cd
)
# read it back in
with meshio.xdmf.TimeSeriesReader(filename) as reader:
points, cells = reader.read_points_cells()
for k in range(reader.num_steps):
t, pd, cd = reader.read_data(k)
assert np.abs(times[k] - t) < 1.0e-12
for key, value in pd.items():
assert np.all(np.abs(value - point_data[k][key]) < 1.0e-12)
# def test_information_xdmf():
# mesh_out = meshio.Mesh(
# np.array(
# [[0.0, 0.0, 0.0], [1.0, 0.0, 0.0], [1.0, 1.0, 0.0], [0.0, 1.0, 0.0]]
# )
# / 3,
# [("triangle", np.array([[0, 1, 2], [0, 2, 3]]))],
# field_data={
# "bottom": np.array([1, 1]),
# "right": np.array([2, 1]),
# "top": np.array([3, 1]),
# "left": np.array([4, 1]),
# },
# )
# # write the data
# points, cells, field_data = mesh_out.points, mesh_out.cells, mesh_out.field_data
#
# assert cells[0].type == "triangle"
# meshio.write(
# "mesh.xdmf",
# meshio.Mesh(points=points, cells=[cells[0]], field_data=field_data),
# )
#
# # read it back in
# mesh_in = meshio.read("mesh.xdmf")
# assert len(mesh_in.field_data) == len(mesh_out.field_data)
if __name__ == "__main__":
test_time_series()
|
