def mst_prim_jarnik(g):
d = {}
tree = []
pq = AdaptiveHeapPriorityQueue()
pqlocator = {}
for v in g.vertices():
if len(d) == 0:
d[v] = 0
else:
d[v] = float('inf')
pqlocator[v] = pq.add(d[v], (v, None))
while not pq.is_empty():
key, value = pq.remove_min()
u, e = value
del pqlocator[u]
if e is not None:
tree.append(e)
for link in g.incident_edges(u):
v = link.opposite(u)
if v in pqlocator:
wgt = link.element()
if wgt < d[v]:
d[v] = wgt
pq.upadte(pqlocator[v], d[v], (v, link))
return tree
def shortest_path_lengths(g, src):
d = {}
cloud = {}
pq = AdaptiveHeapPriorityQueue()
pqlocator = {}
for v in g.vertices():
if v is src:
d[v] = 0
else:
d[v] = float('inf')
pqlocator[v] = pq.add(d[v], v)
while not pq.is_empty():
key, u = pq.remove_min()
cloud[u] = key
del pqlocator[u]
for e in g.incident_edges(u):
v = e.opposite(u)
if v not in cloud:
wgt = e.element()
if d[u] + wgt < d[v]:
d[v] = d[u] + wgt
pq.upadte(pqlocator[v], d[v], v)
return cloud