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# very rough demo to test out ghost cells
# run with mpirun
#
from dolfin import *
import numpy as np
import sys, os
try:
import matplotlib.pyplot as plt
from matplotlib.collections import PolyCollection
except ImportError:
print("This demo requires matplotlib! Bye.")
exit()
parameters["ghost_mode"] = "shared_vertex"
#parameters["ghost_mode"] = "shared_facet"
#parameters["ghost_mode"] = "None"
parameters["reorder_cells_gps"] = True
parameters["reorder_vertices_gps"] = True
n = 0
if(len(sys.argv) == 2):
try:
n = int(sys.argv[1])
except:
n = 0
if(MPI.size(MPI.comm_world) == 1):
print("Only works with MPI")
quit()
#parameters["mesh_partitioner"] = "ParMETIS"
mesh = UnitSquareMesh(8, 8)
# mesh = refine(M)
shared_vertices = np.fromiter(mesh.topology().shared_entities(0).keys(), dtype='uintc')
shared_cells = mesh.topology().shared_entities(mesh.topology().dim())
num_regular_vertices = mesh.topology().ghost_offset(0)
ghost_vertices = np.arange(num_regular_vertices, mesh.topology().size(0))
verts_note = []
if (n == 0):
for k,val in mesh.topology().shared_entities(0).items():
vtx = Vertex(mesh, k)
verts_note.append( (vtx.point().x(), vtx.point().y(), " "+str(val)) )
elif (n == 1):
for i in range(mesh.num_vertices()):
vtx = Vertex(mesh, i)
val = vtx.global_index()
verts_note.append( (vtx.point().x(), vtx.point().y(), " "+str(val)) )
else:
for i in range(mesh.num_vertices()):
vtx = Vertex(mesh, i)
val = vtx.index()
verts_note.append( (vtx.point().x(), vtx.point().y(), " "+str(val)) )
x,y = mesh.coordinates().transpose()
rank = MPI.rank(mesh.mpi_comm())
cell_ownership = np.ones(mesh.num_cells(),dtype='int')*rank
cell_owner = mesh.topology().cell_owner()
if len(cell_owner) > 0 :
cell_ownership[-len(cell_owner):] = cell_owner
cells_store=[]
cells_note=[]
colors=[]
cmap=['red', 'green', 'yellow', 'purple', 'pink', 'grey', 'blue', 'brown']
idx = 0
for c in cells(mesh, "all"):
xc=[]
yc=[]
for v in vertices(c):
xc.append(v.point().x())
yc.append(v.point().y())
xavg = c.midpoint().x()
yavg = c.midpoint().y()
cell_str=str(c.index())
# if c.index() in shared_cells.keys():
# cell_str = str(shared_cells[c.index()])
# else:
# cell_str = str(c.index())
cells_note.append((xavg, yavg, cell_str))
cells_store.append(list(zip(xc,yc)))
colors.append(cmap[cell_ownership[c.index()]])
idx += 1
num_regular_facets = mesh.topology().ghost_offset(1)
facet_note = []
shared_facets = mesh.topology().shared_entities(1)
for f in facets(mesh, "all"):
if (f.num_global_entities(2) == 2):
color='#ffff88'
else:
color='#ff88ff'
if (not f.is_ghost()):
if (f.num_global_entities(2) == 2):
color='#ffff00'
else:
color='#ff00ff'
if (n < 3):
facet_note.append((f.midpoint().x(), f.midpoint().y(), f.global_index(), color))
elif (n == 3):
facet_note.append((f.midpoint().x(), f.midpoint().y(), f.index(), color))
else:
if (f.index() in shared_facets.keys()):
facet_note.append((f.midpoint().x(), f.midpoint().y(), shared_facets[f.index()], color))
fig, ax = plt.subplots()
# Make the collection and add it to the plot.
coll = PolyCollection(cells_store, facecolors=colors, edgecolors='#cccccc')
ax.add_collection(coll)
plt.plot(x, y, marker='o', color='black', linestyle='none')
plt.plot(x[shared_vertices], y[shared_vertices], marker='o', color='green', linestyle='none')
plt.plot(x[ghost_vertices], y[ghost_vertices], marker='o', color='yellow', linestyle='none')
xlim = ax.get_xlim()
ylim = ax.get_ylim()
plt.xlim((xlim[0] - 0.1, xlim[1] + 0.1))
plt.ylim((ylim[0] - 0.1, ylim[1] + 0.1))
for note in cells_note:
plt.text(note[0], note[1], note[2], verticalalignment='center',
horizontalalignment='center', size=8)
for note in verts_note:
plt.text(note[0], note[1], note[2], size=8, verticalalignment='center')
for note in facet_note:
plt.text(note[0], note[1], note[2], size=8, verticalalignment='center', backgroundcolor=note[3])
# Q = MeshFunction("double", mesh, mesh.topology().dim()-1)
# # Save solution in XDMF format if available
# xdmf = XDMFFile(mesh.mpi_comm(), "Q.xdmf")
# if has_hdf5():
# xdmf.write(Q)
# elif MPI.size(mesh.mpi_comm()) == 1:
# encoding = XDMFFile.Encoding.ASCII
# xdmf.write(Q, encoding)
# else:
# # Save solution in vtk format
# xdmf = File("Q.pvd")
# xdmf << Q
plt.savefig("mesh-rank%d.png" % rank)
if os.environ.get("DOLFIN_NOPLOT", "0") == "0":
plt.show()
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