Medium
A gene string can be represented by an 8-character long string, with choices from 'A'
, 'C'
, 'G'
, and 'T'
.
Suppose we need to investigate a mutation from a gene string start
to a gene string end
where one mutation is defined as one single character changed in the gene string.
"AACCGGTT" --> "AACCGGTA"
is one mutation.There is also a gene bank bank
that records all the valid gene mutations. A gene must be in bank
to make it a valid gene string.
Given the two gene strings start
and end
and the gene bank bank
, return the minimum number of mutations needed to mutate from start
to end
. If there is no such a mutation, return -1
.
Note that the starting point is assumed to be valid, so it might not be included in the bank.
Example 1:
Input: start = “AACCGGTT”, end = “AACCGGTA”, bank = [“AACCGGTA”]
Output: 1
Example 2:
Input: start = “AACCGGTT”, end = “AAACGGTA”, bank = [“AACCGGTA”,”AACCGCTA”,”AAACGGTA”]
Output: 2
Example 3:
Input: start = “AAAAACCC”, end = “AACCCCCC”, bank = [“AAAACCCC”,”AAACCCCC”,”AACCCCCC”]
Output: 3
Constraints:
start.length == 8
end.length == 8
0 <= bank.length <= 10
bank[i].length == 8
start
, end
, and bank[i]
consist of only the characters ['A', 'C', 'G', 'T']
.from collections import deque
from typing import List, Set
class Solution:
def minMutation(self, start: str, end: str, bank: List[str]) -> int:
bank_set = set(bank)
queue = deque([start])
step = 0
while queue:
cur_size = len(queue)
for _ in range(cur_size):
cur = queue.popleft()
if cur == end:
return step
for next_mutation in self.getValidMutations(bank_set, cur):
queue.append(next_mutation)
bank_set.remove(next_mutation)
step += 1
return -1
def getValidMutations(self, bank_set: Set[str], current: str) -> List[str]:
valid_mutations = []
for mutation in bank_set:
diff = 0
for i in range(len(mutation)):
if mutation[i] != current[i]:
diff += 1
if diff > 1:
break
if diff == 1:
valid_mutations.append(mutation)
return valid_mutations