GenomicRangeQuery 문제 링크
https://app.codility.com/c/run/training6TWF9J-K23/
Summary
개수 세기를 이용한 특정 범위에서 최솟값 찾기
A DNA sequence can be represented as a string consisting of the letters A, C, G and T, which correspond to the types of successive nucleotides in the sequence. Each nucleotide has an impact factor, which is an integer. Nucleotides of types A, C, G and T have impact factors of 1, 2, 3 and 4, respectively. You are going to answer several queries of the form: What is the minimal impact factor of nucleotides contained in a particular part of the given DNA sequence?
The DNA sequence is given as a non-empty string S = S[0]S[1]...S[N-1] consisting of N characters. There are M queries, which are given in non-empty arrays P and Q, each consisting of M integers. The K-th query (0 ≤ K < M) requires you to find the minimal impact factor of nucleotides contained in the DNA sequence between positions P[K] and Q[K].
For example, consider string S = CAGCCTA and arrays P, Q such that:
P[0] = 2 Q[0] = 4
P[1] = 5 Q[1] = 5
P[2] = 0 Q[2] = 6
The answers to these M = 3 queries are as follows:
The part of the DNA between positions 2 and 4 contains nucleotides G and C (twice), whose impact factors are 3 and 2 respectively, so the answer is 2.
The part between positions 5 and 5 contains a single nucleotide T, whose impact factor is 4, so the answer is 4.
The part between positions 0 and 6 (the whole string) contains all nucleotides, in particular nucleotide A whose impact factor is 1, so the answer is 1.
Write a function:
def solution(S, P, Q)
that, given a non-empty string S consisting of N characters and two non-empty arrays P and Q consisting of M integers, returns an array consisting of M integers specifying the consecutive answers to all queries.
Result array should be returned as an array of integers.
For example, given the string S = CAGCCTA and arrays P, Q such that:
P[0] = 2 Q[0] = 4
P[1] = 5 Q[1] = 5
P[2] = 0 Q[2] = 6
the function should return the values [2, 4, 1], as explained above.
Write an efficient algorithm for the following assumptions:
- 혼자서 문제를 해결
- 힌트를 보고 해결
- 답을 보고 해결
def solution(S, P, Q):
dna = {'A':1, 'C':2, 'G':3, 'T':4}
result = []
for i in range(len(P)):
min_val = 5
for s in S[P[i]:Q[i]+1]:
min_val = min(min_val, dna[s])
result.append(min_val)
return result
def solution(S, P, Q):
dna = {'A':1, 'C':2, 'G':3, 'T':4}
result = []
cnt_lis = [[0,0,0,0]]
counter = [0]*4
for s in S:
counter[dna[s]-1] += 1
cnt_lis.append(counter[:])
for i in range(len(P)):
for j in range(4):
val = cnt_lis[Q[i]+1][j] - cnt_lis[P[i]][j]
if val != 0:
result.append(j+1)
break
return result
출처: 링크
정확도는 100% 였지만 효율성에서 다 틀려서 62%가 나왔다.
특정 구역의 문자열을 가져와 반복 구조로 최솟값을 찾는 부분에서 수정의 필요성을 느꼈지만 딱히 해결 방법이 떠오르지 않았다.
다른 사람의 코드를 보고 문제를 해결했다.