433. Minimum Genetic Mutation
Description
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.
- For example,
"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
, andbank[i]
consist of only the characters['A', 'C', 'G', 'T']
.
Solution
minimum-genetic-mutation.py
class Solution:
def minMutation(self, start: str, end: str, bank: List[str]) -> int:
seen = set([start])
bank = set(bank)
dq = deque([start])
count = 0
while dq:
N = len(dq)
for _ in range(N):
curr = dq.popleft()
if curr == end: return count
for i in range(8):
for char in "ACGT":
if char == curr[i]: continue
newWord = curr[:i] + char + curr[i + 1:]
if newWord in bank and newWord not in seen:
dq.append(newWord)
seen.add(newWord)
count += 1
return -1