def GetDist(tname,args):
"""
find the node distance
args, arguments as a string
"""
print "GetDist", tname
task = tname.split("-")[0]
step = int(tname.split("-")[1])
tsize = comm.mgetconfig("tsize")
# get the initial arguments: starting node and its neighbors
dinit = simplejson.loads(args[0])
node = dinit["node"]
nbrlist = dinit["nbrs"]
# no visited nodes yet, first iteration
visited = {}
distance = 0
print "*distance*", tname, node, distance
visited[node] = distance
while True:
# process the new neighbors
distance += 1
newnodes = []
# process all the input elements
for arg in args:
dinit = simplejson.loads(arg)
srcnode = dinit["node"]
nbrlist = dinit["nbrs"]
for item in nbrlist:
# skip nodes already visited
if item in visited:
continue
# add new nodes to the visited nodes and the new nodes
print "*distance*", tname, item, distance
visited[item] = distance
newnodes.append(item)
# done, if there are no more new nodes
if len(newnodes) <= 0:
break
# send new visited nodes to the graph nodes to find their neighbors
# collect nodes for the same task
dtasks = {}
for ndst in newnodes:
tn = TaskId(ndst,tsize)
if not dtasks.has_key(tn):
dtasks[tn] = []
dtasks[tn].append(ndst)
print "dtasks", dtasks
# send the messages
step += 1
for tn,args in dtasks.iteritems():
dmsg = {}
dmsg["task"] = task
dmsg["nodes"] = args
tdst = "E%s" % (str(tn)) + "-" + str(step)
targs = simplejson.dumps(dmsg)
print tdst,targs
comm.mroute(tname,tdst,targs)
# wait for another iteration
yield
# move the task name to the next step
step += 1
tname = task + "-" + str(step)
# get the input queue
args = comm.mgetargs(tname)
# end of while, repeat the loop
print "*finish*", tname
# TODO calculate statistics
return
def GetDist(tname, args):
"""
find the node distance
args, arguments as a string
"""
print "GetDist", tname
task = tname.split("-")[0]
step = int(tname.split("-")[1])
tsize = comm.mgetconfig("tsize")
# get the initial arguments: starting node and its neighbors
dinit = simplejson.loads(args[0])
node = dinit["node"]
nbrlist = dinit["nbrs"]
# no visited nodes yet, first iteration
visited = {}
distance = 0
print "*distance*", tname, node, distance
visited[node] = distance
while True:
# process the new neighbors
distance += 1
newnodes = []
# process all the input elements
for arg in args:
dinit = simplejson.loads(arg)
srcnode = dinit["node"]
nbrlist = dinit["nbrs"]
for item in nbrlist:
# skip nodes already visited
if item in visited:
continue
# add new nodes to the visited nodes and the new nodes
print "*distance*", tname, item, distance
visited[item] = distance
newnodes.append(item)
# done, if there are no more new nodes
if len(newnodes) <= 0:
break
# send new visited nodes to the graph nodes to find their neighbors
# collect nodes for the same task
dtasks = {}
for ndst in newnodes:
tn = TaskId(ndst, tsize)
if not dtasks.has_key(tn):
dtasks[tn] = []
dtasks[tn].append(ndst)
print "dtasks", dtasks
# send the messages
step += 1
for tn, args in dtasks.iteritems():
dmsg = {}
dmsg["task"] = task
dmsg["nodes"] = args
tdst = "E%s" % (str(tn)) + "-" + str(step)
targs = simplejson.dumps(dmsg)
print tdst, targs
comm.mroute(tname, tdst, targs)
# wait for another iteration
yield
# move the task name to the next step
step += 1
tname = task + "-" + str(step)
# get the input queue
args = comm.mgetargs(tname)
# end of while, repeat the loop
print "*finish*", tname
# TODO calculate statistics
return
def GenNbr(tname,args):
"""
generate the graph neighbors
args, arguments as a string
"""
task = tname.split("-")[0]
step = int(tname.split("-")[1])
# extract neighbors from the args
# iterate through the input queue and add new items to the neighbor list
edges = []
for item in args:
l = simplejson.loads(item)
edges.extend(l)
print edges
print tname,edges
# collect neighbors for each node
nbrs = {}
for item in edges:
src = item[0]
dst = item[1]
if not nbrs.has_key(src):
nbrs[src] = set()
nbrs[src].add(dst)
for node, edges in nbrs.iteritems():
print tname, node, edges
# select a random node for stats
#nsel = random.choice(list(nbrs.keys()))
nsel = list(nbrs.keys())[0]
print tname, "sel", nsel, list(nbrs.keys())
# send the node and its neighbors to the distance task
step += 1
tdst = "D%s" % (str(nsel)) + "-" + str(step)
dmsg = {}
dmsg["node"] = nsel
dmsg["nbrs"] = list(nbrs[nsel])
targs = simplejson.dumps(dmsg)
print tdst,targs
comm.mroute(tname,tdst,targs)
while True:
yield
step += 1
tname = task + "-" + str(step)
args = comm.mgetargs(tname)
if args == None:
step += 1
continue
# iterate through the input queue, get the nodes, report neighbors
step += 1
for item in args:
d = simplejson.loads(item)
tdst = d["task"] + "-" + str(step)
nodes = d["nodes"]
for node in nodes:
dmsg = {}
dmsg["node"] = node
dmsg["nbrs"] = list(nbrs[node])
targs = simplejson.dumps(dmsg)
#tdst = "D%s" % (str(node)) + "-" + str(step)
print tdst,targs
comm.mroute(tname,tdst,targs)
def GenNbr(tname, args):
"""
generate the graph neighbors
args, arguments as a string
"""
task = tname.split("-")[0]
step = int(tname.split("-")[1])
# extract neighbors from the args
# iterate through the input queue and add new items to the neighbor list
edges = []
for item in args:
l = simplejson.loads(item)
edges.extend(l)
print edges
print tname, edges
# collect neighbors for each node
nbrs = {}
for item in edges:
src = item[0]
dst = item[1]
if not nbrs.has_key(src):
nbrs[src] = set()
nbrs[src].add(dst)
for node, edges in nbrs.iteritems():
print tname, node, edges
# select a random node for stats
#nsel = random.choice(list(nbrs.keys()))
nsel = list(nbrs.keys())[0]
print tname, "sel", nsel, list(nbrs.keys())
# send the node and its neighbors to the distance task
step += 1
tdst = "D%s" % (str(nsel)) + "-" + str(step)
dmsg = {}
dmsg["node"] = nsel
dmsg["nbrs"] = list(nbrs[nsel])
targs = simplejson.dumps(dmsg)
print tdst, targs
comm.mroute(tname, tdst, targs)
while True:
yield
step += 1
tname = task + "-" + str(step)
args = comm.mgetargs(tname)
if args == None:
step += 1
continue
# iterate through the input queue, get the nodes, report neighbors
step += 1
for item in args:
d = simplejson.loads(item)
tdst = d["task"] + "-" + str(step)
nodes = d["nodes"]
for node in nodes:
dmsg = {}
dmsg["node"] = node
dmsg["nbrs"] = list(nbrs[node])
targs = simplejson.dumps(dmsg)
#tdst = "D%s" % (str(node)) + "-" + str(step)
print tdst, targs
comm.mroute(tname, tdst, targs)
