def compute_flow_throughputs(ports):
# Function for walking path to assign a flow
# Build the port priority queue
portpq = priority_dict()
for port in ports:
portpq[port] = port.flow_rate()
# Iterate the priority queue
while len(portpq) > 0:
updated_ports = set()
port = portpq.pop_smallest()
# Get the rate and quit continue if it is 0.0
rate = port.flow_rate()
if rate is 0:
continue
# Assign the flow rate to all of the flows on this port.
# Also update the affected ports by this assignment
for flow in port.flows.copy():
flow.rate = rate
for fp in flow.ports:
fp.used += rate
assert(fp.used <= 1.01)
fp.flows.remove(flow)
updated_ports.add(fp)
assert(len(port.flows) is 0)
#print port.used
assert(port.used >= 0.99 and port.used <= 1.01)
for up in updated_ports:
portpq[up] = up.flow_rate()
def search(beginning, goal):
global path, goal_stop
goal_stop = goal
node_list = priority_dict()
node_list[beginning[0]] = beginning[1]
while len(node_list) > 0:
print"Solmulista: " + ", ".join([str((k, v)) for k,v in node_list.items()])
node = node_list.smallest()
time = node_list[node]
path.append((node.name, time))
print "Solmu: " + node.name + ", " + str(time)
node_list.pop_smallest()
if node.name == goal_stop.name:
return("Ratkaisu: ", node)
node_list = _add_a_star(neighbors(node, time), node_list)
print "Path: " + str(path)
return ("Ei ratkaisua", node)
embeddings_dictionary[noun] = numpy_embeddings
#print 'yes'
#else:
# print 'not:',noun
# sys.exit()
#sys.exit()
k = int(sys.argv[3])
#print 'size embeddings dictionary',len(embeddings_dictionary)
#raw_input()
#first create the heap dictionary
all_pair_distances = {}
for word in embeddings_dictionary:
distances = {}
for i in embeddings_dictionary:
#print 'word i',i
if i == word:
continue
distances[i] = numpy.square(embeddings_dictionary[word]-embeddings_dictionary[i]).sum()
#print distances[i]
#print 'distances',len(distances)
distances_heap = priority_dict(distances)
for i in range(k):
p_argmin,p_min = distances_heap.pop_smallest()
#print word,',',p_argmin,',',p_min
print "_%s_,_%s_,%s"%(word,p_argmin,repr(p_min))
