未验证 提交 4fa8c9d4 编写于 作者: L Lewis Tian 提交者: GitHub

Update graphs/depth_first_search_2.py (#3799)

- update naming style to snake_case
- add type hints
上级 aebf9bda
......@@ -8,58 +8,58 @@ class Graph:
self.vertex = {}
# for printing the Graph vertices
def printGraph(self):
def print_graph(self) -> None:
print(self.vertex)
for i in self.vertex.keys():
for i in self.vertex:
print(i, " -> ", " -> ".join([str(j) for j in self.vertex[i]]))
# for adding the edge between two vertices
def addEdge(self, fromVertex, toVertex):
def add_edge(self, from_vertex: int, to_vertex: int) -> None:
# check if vertex is already present,
if fromVertex in self.vertex.keys():
self.vertex[fromVertex].append(toVertex)
if from_vertex in self.vertex:
self.vertex[from_vertex].append(to_vertex)
else:
# else make a new vertex
self.vertex[fromVertex] = [toVertex]
self.vertex[from_vertex] = [to_vertex]
def DFS(self):
def dfs(self) -> None:
# visited array for storing already visited nodes
visited = [False] * len(self.vertex)
# call the recursive helper function
for i in range(len(self.vertex)):
if visited[i] is False:
self.DFSRec(i, visited)
if not visited[i]:
self.dfs_recursive(i, visited)
def DFSRec(self, startVertex, visited):
def dfs_recursive(self, start_vertex: int, visited: list) -> None:
# mark start vertex as visited
visited[startVertex] = True
visited[start_vertex] = True
print(startVertex, end=" ")
print(start_vertex, end=" ")
# Recur for all the vertices that are adjacent to this node
for i in self.vertex.keys():
if visited[i] is False:
self.DFSRec(i, visited)
for i in self.vertex:
if not visited[i]:
self.dfs_recursive(i, visited)
if __name__ == "__main__":
g = Graph()
g.addEdge(0, 1)
g.addEdge(0, 2)
g.addEdge(1, 2)
g.addEdge(2, 0)
g.addEdge(2, 3)
g.addEdge(3, 3)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(1, 2)
g.add_edge(2, 0)
g.add_edge(2, 3)
g.add_edge(3, 3)
g.printGraph()
g.print_graph()
print("DFS:")
g.DFS()
g.dfs()
# OUTPUT:
# 0  ->  1 -> 2
# 1  ->  2
# 2  ->  0 -> 3
# 3  ->  3
# 0 -> 1 -> 2
# 1 -> 2
# 2 -> 0 -> 3
# 3 -> 3
# DFS:
#  0 1 2 3
# 0 1 2 3
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