
1. DFS,往四个方向移动,额外使用一个visitflag记录是否已经到达该小格子。最后对visitflag求和即可。
class Solution:
def movingCount(self , threshold: int, rows: int, cols: int) -> int:
visitflag = [[0]*cols for _ in range(rows)]
def sumNum(number):
sumnum = 0
while number>0:
sumnum += number % 10
number //= 10
return sumnum
def dfs(i, j, visitflag):
if 0<=i
后来发现其实不用四个方向,因为起始点是(0, 0),因此只要右和下两个方向即可。并且也可以用一个count去记录visit的小格,后面就无需对二维数组求和。此外,由于函数是定义在函数体里面的,visitflag可以作为一个全局变量,无需作为参数传入,可以在函数内部直接使用。
优化后的代码如下,时间都少了一半。
class Solution:
def movingCount(self , threshold: int, rows: int, cols: int) -> int:
visitflag = [[0]*cols for _ in range(rows)]
count = 0
def sumNum(number):
sumnum = 0
while number>0:
sumnum += number % 10
number //= 10
return sumnum
def dfs(i, j):
count = 0
if 0<=i
2. BFS
from collections import deque
class Solution:
def movingCount(self , threshold: int, rows: int, cols: int) -> int:
def sumNum(number):
sumnum = 0
while number>0:
sumnum += number % 10
number //= 10
return sumnum
q = deque()
q.append((0,0))
count = 0
visitflag = [[0]*cols for _ in range(rows)]
visitflag[0][0] = 1
while q:
i, j = q.popleft()
count += 1
for i,j in [(i+1,j),(i,j+1)]:
if 0<=i欢迎分享,转载请注明来源:内存溢出
微信扫一扫
支付宝扫一扫
评论列表(0条)