def activeProcess(self, index):
node = self.skeleton.getNodeWithIndex(index)
change = deputy.DeputyProvisionalChanges()
move_to = self.mover(self.skeleton, node)
change.moveNode(node,
move_to,
self.skeleton) # moved the node
# Building data to be sent to sharers.
shared = node.sharedWith()
nodeMoves = []
for s in shared:
nodeMoves.append(
cfiddler.create_movedata(
_rank, # master process
node.remoteIndex(s), # remote index
move_to.x, # x
move_to.y # y
))
# Sending move data to shared processes
cfiddler.Isend_MoveData(nodeMoves, shared,
tag=self.move_channel)
## REPORT("STARTED WORKING ON NODE #", index, "WITH", shared)
# receiving illegality from shared processes
illegal = mpitools.Irecv_Bools(shared,
tag=self.illegal_channel)
if True in illegal or change.illegal(self.skeleton):
self.moveBack(node)
return
else: # continue
mpitools.Isend_Bool(True, shared, tag=self.verdict_channel)
# Receiving report from shared processes
reports = mpitools.Irecv_DoubleVecs(shared, tag=self.report_channel)
homog0 = []
shape0 = []
homog1 = []
shape1 = []
for r in reports:
n = len(r)/4
homog0 += r[:n]
shape0 += r[n:2*n]
homog1 += r[2*n:3*n]
shape1 += r[3*n:4*n]
change.augmentData(homog0, homog1, shape0, shape1)
# Now, the decision time
bestchange = self.criterion([change], self.skeleton)
if bestchange is not None:
self.stay(node, bestchange)
elif self.T > 0. and not self.criterion.hopeless():
diffE = change.deltaE(self.skeleton, self.alpha)
if math.exp(-diffE/self.T) > random.random():
self.stay(node, change)
else:
self.moveBack(node)
else:
self.moveBack(node)
def active(self, skeleton,
node): # Parallel mode -- owner of shared node
from ooflib.SWIG.common import mpitools
# Need to get neighboring nodes
shared = node.sharedWith()
remote_indices = [node.remoteIndex(s) for s in shared]
mpitools.Isend_Ints(remote_indices, shared)
positions = mpitools.Irecv_DoubleVecs(shared) # [[], [] ...]
positions = reduce(lambda x, y: x + y, positions) # []
positions = [[positions[2 * i], positions[2 * i + 1]]
for i in range(len(positions) / 2)]
# Add my own neighbors
nbrNodes = node.neighborNodes(skeleton)
positions += [[
skeleton.nodePosition(n).x,
skeleton.nodePosition(n).y
] for n in nbrNodes]
# Averaging
x = 0.
y = 0.
for p in positions:
x += p[0]
y += p[1]
x /= len(positions)
y /= len(positions)
return primitives.Point(x, y)
def active(self, skeleton, node):
from ooflib.SWIG.common import mpitools
shared = node.sharedWith()
# receiving coords
opposite_ends = mpitools.Irecv_DoubleVecs(shared)
opposite_ends = reduce(lambda x, y: x + y, opposite_ends)
# create a list of points
end_points = []
for i in range(len(opposite_ends) / 2):
x = opposite_ends[2 * i]
y = opposite_ends[2 * i + 1]
end_points.append(primitives.Point(x, y))
# move candidates
move_candidates = self.default(skeleton, node) # list of points
move_candidates += self.addition(skeleton, node, end_points)
# returns non-trivial ones
return [mc for mc in move_candidates if mc]
def activeProcess(self, index):
node = self.skeleton.getNodeWithIndex(index)
shared = node.sharedWith()
# send the node (remote) index
for s in shared:
mpitools.Send_Int(node.remoteIndex(s), s, self.move_channel)
move_candidates = self.mover.active(self.skeleton, node)
mpitools.Isend_Int(len(move_candidates), shared, tag=self.move_channel)
changes = []
for mc in move_candidates:
change = deputy.DeputyProvisionalChanges()
change.moveNode(node, mc, self.skeleton) # moved the node
# Building data to be sent to sharers.
nodeMoves = []
for s in shared:
nodeMoves.append(
cfiddler.create_movedata(
_rank, # master process
node.remoteIndex(s), # remote index
mc.x, # x
mc.y # y
))
# Sending move data to shared processes
cfiddler.Isend_MoveData(nodeMoves, shared, tag=self.move_channel)
## REPORT("STARTED WORKING ON NODE #", index, "WITH", shared)
# receiving illegality from shared processes
illegal = mpitools.Irecv_Bools(shared, tag=self.illegal_channel)
legal = True not in illegal and not change.illegal(self.skeleton)
mpitools.Isend_Bool(legal, shared, tag=self.verdict_channel)
if not legal:
continue
# Receiving report from shared processes
reports = mpitools.Irecv_DoubleVecs(shared,
tag=self.report_channel)
homog0 = []
shape0 = []
homog1 = []
shape1 = []
for r in reports:
n = len(r) / 4
homog0 += r[:n]
shape0 += r[n:2 * n]
homog1 += r[2 * n:3 * n]
shape1 += r[3 * n:4 * n]
change.augmentData(homog0, homog1, shape0, shape1)
changes.append(change)
# Now, the decision time
bestchange = self.criterion(changes, self.skeleton)
if bestchange is not None:
self.nok += 1
self.deltaE += bestchange.deltaE(self.skeleton, self.alpha)
bestchange.accept(self.skeleton)
mpitools.Isend_Bool(True, shared, tag=self.verdict_channel)
theindex = changes.index(bestchange)
x = move_candidates[theindex].x
y = move_candidates[theindex].y
mpitools.Isend_DoubleVec([x, y],
shared,
tag=self.move_channel,
size=2)
else:
self.nbad += 1
mpitools.Isend_Bool(False, shared, tag=self.verdict_channel)
