树的结构如图：

广度优先搜索：

class Queue(object):
    def __init__(self):
        self.items = []
        self.head = 0
        self.tail = 0
    def append(self,node):
        self.items.append(node)
        self.tail += 1
    def get(self):
        return self.items[self.head]
#树
map_list = [ #0,1   0,1
    [0,1,1,-1,-1],
    [1,0,-1,1,-1],
    [1,-1,0,-1,1],
    [-1,1,-1,0,-1],
    [1,-1,1,-1,0],
]
point = Queue()
#初始在0点
point.append(0)

while point.head<point.tail:
    for i in range(5):
        if map_list[i][point.head] == 1 and i not in point.items:
            print(i)
            point.append(i)
    point.head+=1
if __name__ == '__main__':
    print(point.items)

深度优先搜索

#-1代表不连通 1代表连通 0代表到自己的距离
import sys
sys.setrecursionlimit(10000)
map_list = [ #0,1   0,1
    [0,1,1,-1,-1],
    [1,0,-1,1,-1],
    [1,-1,0,-1,1],
    [-1,1,-1,0,-1],
    [1,-1,1,-1,0],
]
res = []
#已经遍历过的点
book_list = []
#深度优先搜索
def dfs(x):
    if x not in book_list:
        book_list.append(x)
    for i in range(5):
        if map_list[i][x] == 1 and i not in book_list:
            dfs(i)
dfs(0)
print(book_list)

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