def closest_vertex(self, frm, target_list):
""" closest_vertex(frm, target_list) -> id Uses bfs-like
algorithm to find closest vertex to frm in target_list
"""
if frm in target_list:
return frm
target_list = set(target_list)
visited = set([frm])
parent = {}
q = Queue()
q.push(frm)
while 1:
try:
current = q.pop()
except q.EmptyQueue:
raise GraphException("no vertices reachable: %s %s" % (frm, list(target_list)))
efrom = self.edges_from(current)
for (to, eid) in efrom:
if to in target_list:
return to
if to not in visited:
parent[to] = current
q.push(to)
visited.add(to)
def closest_vertex(self, frm, target_list):
""" closest_vertex(frm, target_list) -> id Uses bfs-like
algorithm to find closest vertex to frm in target_list
"""
if frm in target_list:
return frm
target_list = set(target_list)
visited = set([frm])
parent = {}
q = Queue()
q.push(frm)
while 1:
try:
current = q.pop()
except q.EmptyQueue:
raise GraphException("no vertices reachable: %s %s" %
(frm, list(target_list)))
efrom = self.edges_from(current)
for (to, eid) in efrom:
if to in target_list:
return to
if to not in visited:
parent[to] = current
q.push(to)
visited.add(to)
def bfs(self, frm):
""" bfs(frm:id type) -> dict(id type)
Perform Breadth-First-Search and return a dict of parent id
Keyword arguments:
frm -- 'immutable' vertex id
"""
visited = set([frm])
parent = {}
q = Queue()
q.push(frm)
while 1:
try:
current = q.pop()
except q.EmptyQueue:
break
efrom = self.edges_from(current)
for (to, eid) in efrom:
if to not in visited:
parent[to] = current
q.push(to)
visited.add(to)
return parent
def bfs(self, frm):
""" bfs(frm:id type) -> dict(id type)
Perform Breadth-First-Search and return a dict of parent id
Keyword arguments:
frm -- 'immutable' vertex id
"""
visited = set([frm])
parent = {}
q = Queue()
q.push(frm)
while 1:
try:
current = q.pop()
except q.EmptyQueue:
break
efrom = self.edges_from(current)
for (to, eid) in efrom:
if to not in visited:
parent[to] = current
q.push(to)
visited.add(to)
return parent