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import itertools
from typing import Tuple
from mpi4py import MPI
import basix.ufl
import dolfinx
import numpy as np
import numpy.typing as npt
import pytest
from adios4dolfinx.utils import compute_dofmap_pos, unroll_dofmap
write_comm = [MPI.COMM_SELF, MPI.COMM_WORLD] # Communicators for creating mesh
ghost_mode = [dolfinx.mesh.GhostMode.none, dolfinx.mesh.GhostMode.shared_facet]
two_dimensional_cell_types = [
dolfinx.mesh.CellType.triangle,
dolfinx.mesh.CellType.quadrilateral,
]
three_dimensional_cell_types = [dolfinx.mesh.CellType.hexahedron]
two_dim_combinations = itertools.product(two_dimensional_cell_types, write_comm, ghost_mode)
three_dim_combinations = itertools.product(three_dimensional_cell_types, write_comm, ghost_mode)
@pytest.fixture(params=two_dim_combinations, scope="module")
def mesh_2D(request):
cell_type, write_comm, ghost_mode = request.param
mesh = dolfinx.mesh.create_unit_square(
write_comm, 10, 10, cell_type=cell_type, ghost_mode=ghost_mode
)
return mesh
@pytest.fixture(params=three_dim_combinations, scope="module")
def mesh_3D(request):
cell_type, write_comm, ghost_mode = request.param
M = 5
mesh = dolfinx.mesh.create_unit_cube(
write_comm, M, M, M, cell_type=cell_type, ghost_mode=ghost_mode
)
return mesh
def compute_positions(
dofs: npt.NDArray[np.int32],
dofmap_bs: int,
num_owned_dofs: int,
num_owned_cells: int,
) -> Tuple[npt.NDArray[np.int32], npt.NDArray[np.int32]]:
"""
Support function for test.
Given a dofmap, compute the local cell and position in the dofmap for each owned dof.
The last cell (wrt) local index will be the one in the output map
"""
dof_to_cell_map = np.zeros(num_owned_dofs, dtype=np.int32)
dof_to_pos_map = np.zeros(num_owned_dofs, dtype=np.int32)
for c in range(num_owned_cells):
for i, dof in enumerate(dofs[c]):
for b in range(dofmap_bs):
local_dof = dof * dofmap_bs + b
if local_dof < num_owned_dofs:
dof_to_cell_map[local_dof] = c
dof_to_pos_map[local_dof] = i * dofmap_bs + b
return dof_to_cell_map, dof_to_pos_map
@pytest.mark.parametrize("family", ["Lagrange", "DG"])
@pytest.mark.parametrize("degree", [1, 4])
def test_unroll_P(family, degree, mesh_2D):
V = dolfinx.fem.functionspace(mesh_2D, (family, degree))
dofmap = V.dofmap
unrolled_map = unroll_dofmap(dofmap.list, dofmap.bs)
normal_unroll = np.zeros(
(dofmap.list.shape[0], dofmap.list.shape[1] * dofmap.bs), dtype=np.int32
)
for i, dofs in enumerate(dofmap.list):
for j, dof in enumerate(dofs):
for k in range(dofmap.bs):
normal_unroll[i, j * dofmap.bs + k] = dof * dofmap.bs + k
np.testing.assert_allclose(unrolled_map, normal_unroll)
@pytest.mark.parametrize("family", ["RTCF"])
@pytest.mark.parametrize("degree", [1, 2, 3])
def test_unroll_RTCF(family, degree, mesh_3D):
el = basix.ufl.element(family, mesh_3D.ufl_cell().cellname(), degree)
V = dolfinx.fem.functionspace(mesh_3D, el)
dofmap = V.dofmap
unrolled_map = unroll_dofmap(dofmap.list, dofmap.bs)
normal_unroll = np.zeros(
(dofmap.list.shape[0], dofmap.list.shape[1] * dofmap.bs), dtype=np.int32
)
for i, dofs in enumerate(dofmap.list):
for j, dof in enumerate(dofs):
for k in range(dofmap.bs):
normal_unroll[i, j * dofmap.bs + k] = dof * dofmap.bs + k
np.testing.assert_allclose(unrolled_map, normal_unroll)
@pytest.mark.parametrize("family", ["RTCF"])
@pytest.mark.parametrize("degree", [1, 2, 3])
def test_compute_dofmap_pos_RTCF(family, degree, mesh_3D):
el = basix.ufl.element(family, mesh_3D.ufl_cell().cellname(), degree)
V = dolfinx.fem.functionspace(mesh_3D, el)
local_cells, local_pos = compute_dofmap_pos(V)
num_cells_local = mesh_3D.topology.index_map(mesh_3D.topology.dim).size_local
num_dofs_local = V.dofmap.index_map.size_local * V.dofmap.index_map_bs
reference_cells, reference_pos = compute_positions(
V.dofmap.list, V.dofmap.bs, num_dofs_local, num_cells_local
)
np.testing.assert_allclose(reference_cells, local_cells)
np.testing.assert_allclose(reference_pos, local_pos)
@pytest.mark.parametrize("family", ["Lagrange", "DG"])
@pytest.mark.parametrize("degree", [1, 4])
def test_compute_dofmap_pos_P(family, degree, mesh_2D):
el = basix.ufl.element(family, mesh_2D.ufl_cell().cellname(), degree)
V = dolfinx.fem.functionspace(mesh_2D, el)
local_cells, local_pos = compute_dofmap_pos(V)
num_cells_local = mesh_2D.topology.index_map(mesh_2D.topology.dim).size_local
num_dofs_local = V.dofmap.index_map.size_local * V.dofmap.index_map_bs
reference_cells, reference_pos = compute_positions(
V.dofmap.list, V.dofmap.bs, num_dofs_local, num_cells_local
)
np.testing.assert_allclose(reference_cells, local_cells)
np.testing.assert_allclose(reference_pos, local_pos)
def test_compute_send_sizes():
np.random.seed(42)
N = 0
M = 10
num_data = 100
# Set of ranks to recieve data
dest_ranks = np.arange(N, M, dtype=np.int32)
# Random data owners
data_owners = np.random.randint(N, M, num_data).astype(np.int32)
# Compute the number of data to send to each rank with loops
out_size = np.zeros(len(dest_ranks), dtype=np.int32)
for owner in data_owners:
for j, rank in enumerate(dest_ranks):
if owner == rank:
out_size[j] += 1
break
process_pos_indicator = data_owners.reshape(-1, 1) == dest_ranks
vectorized_out_size = np.count_nonzero(process_pos_indicator, axis=0)
np.testing.assert_allclose(vectorized_out_size, out_size)
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