版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/u012343179/article/details/89875278
思路:暴力法或者递归。
1)暴力法:每次算上一个result字母集合与下一个digit对应字母集合的笛卡尔积
class Solution:
def letterCombinations(self, digits: str) -> List[str]:
dict_digit={'2':['a','b','c'],'3':['d','e','f'],
'4':['g','h','i'],'5':['j','k','l'],'6':['m','n','o'],
'7':['p','q','r','s'],'8':['t','u','v'],'9':['w','x','y','z']}
result=[]
for d in digits:
if len(result)==0:
result=dict_digit[d]
else:
temp=[]
for i in result:
for j in dict_digit[d]:
temp.append(i+j)
result=temp
return result
2)递归法:使用i来表示当前递归到第几个digit,如果i==n,就放入该字母组合,然后回溯。
class Solution:
def letterCombinations(self, digits: str) -> List[str]:
lookup = {
"2":"abc",
"3":"def",
"4":"ghi",
"5":"jkl",
"6":"mno",
"7":"pqrs",
"8":"tuv",
"9":"wxyz"
}
if not digits:
return []
n = len(digits)
res = []
def helper(i,tmp):
if i == n:
res.append(tmp)
return
for alp in lookup[digits[i]]:
helper(i+1,tmp+alp)
helper(0,"")
return res