Added (Weighted) Undirected graph

Python version 3
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A Safari 2018-12-14 15:08:37 +03:30 committed by GitHub
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commit e97565d21f
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@ -96,12 +96,109 @@ class DirectedGraph:
visited.append(__[1])
return visited
if __name__ == "__main__":
g = DirectedGraph()
# add 50 random nodes to the graph
g.fill_graph_randomly(50)
# you can add or remove any edge and vertex
g.add_pair(3, 5)
g.remove_pair(3,5)
g.dfs()
g.bgs()
class Graph:
def __init__(self):
self.graph = {}
# adding vertices and edges
# adding the weight is optional
# handels repetition
def add_pair(self, u, v, w = 1):
# check if the u exists
if self.graph.get(u):
# if there already is a edge
if self.graph[u].count([w,v]) == 0:
self.graph[u].append([w, v])
else:
# if u does not exist
self.graph[u] = [[w, v]]
# add the other way
if self.graph.get(v):
# if there already is a edge
if self.graph[v].count([w,u]) == 0:
self.graph[v].append([w, u])
else:
# if u does not exist
self.graph[v] = [[w, u]]
# handels if the input does not exist
def remove_pair(self, u, v):
if self.graph.get(u):
for _ in self.graph[u]:
if _[1] == v:
self.graph[u].remove(_)
# the other way round
if self.graph.get(v):
for _ in self.graph[v]:
if _[1] == u:
self.graph[v].remove(_)
# if no destination is meant the defaut value is -1
def dfs(self, s = -2, d = -1):
if s == d:
return []
stack = []
visited = []
if s == -2:
s = list(self.graph.keys())[0]
stack.append(s)
visited.append(s)
ss = s
while True:
# check if there is any non isolated nodes
if len(self.graph[s]) != 0:
ss = s
for __ in self.graph[s]:
if visited.count(__[1]) < 1:
if __[1] == d:
visited.append(d)
return visited
else:
stack.append(__[1])
visited.append(__[1])
ss =__[1]
break
# check if all the children are visited
if s == ss :
stack.pop()
if len(stack) != 0:
s = stack[len(stack) - 1]
else:
s = ss
# check if se have reached the starting point
if len(stack) == 0:
return visited
# c is the count of nodes you want and if you leave it or pass -1 to the funtion the count
# will be random from 10 to 10000
def fill_graph_randomly(self, c = -1):
if c == -1:
c = (math.floor(rand.random() * 10000)) + 10
for _ in range(c):
# every vertex has max 100 edges
e = math.floor(rand.random() * 102) + 1
for __ in range(e):
n = math.floor(rand.random() * (c)) + 1
if n == _:
continue
self.add_pair(_, n, 1)
def bfs(self, s = -2):
d = deque()
visited = []
if s == -2:
s = list(self.graph.keys())[0]
d.append(s)
visited.append(s)
while d:
s = d.popleft()
if len(self.graph[s]) != 0:
for __ in self.graph[s]:
if visited.count(__[1]) < 1:
d.append(__[1])
visited.append(__[1])
return visited