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] (inclusive).
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] = 6The 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] = 6the function should return the values [2, 4, 1], as explained above.
Write an efficient algorithm for the following assumptions:
- N is an integer within the range [1..100,000];
- M is an integer within the range [1..50,000];
- each element of arrays P and Q is an integer within the range [0..N - 1];
- P[K] ≤ Q[K], where 0 ≤ K < M;
- string S consists only of upper-case English letters A, C, G, T.
Traceback (most recent call last): File "exec.py", line 155, in <module> main() File "exec.py", line 117, in main result = solution( S, P, Q ) File "/tmp/solution.py", line 7, in solution for i, p , q in enumerate(zip(P, Q)): ValueError: not enough values to unpack (expected 3, got 2)
Invalid result type, array expected, <class 'NoneType'> found.stdout:
0 2 4 1 5 5 2 0 6
Invalid result type, array expected, <class 'NoneType'> found.stdout:
GC CAGCCT
Invalid result type, array expected, <class 'NoneType'> found.stdout:
0 2 4 1 5 5 2 0 6
Invalid result type, array expected, <class 'NoneType'> found.stdout:
0 2 4 GC 1 5 5 2 0 6 CAGCCT
Invalid result type, array expected, <class 'NoneType'> found.stdout:
0 2 4 GCC 1 5 5 T 2 0 6 CAGCCTA
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
#print(i, p, q)
#print(S[p:q + 1])
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
#print(i, p, q)
#print(S[p:q + 1])
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
#print(i, p, q)
#print(S[p:q + 1])
string_hash[i] = S[p:q+1]
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
#print(i, p, q)
#print(S[p:q + 1])
string_hash[i] = S[p:q+1]
print(string_hash)
Invalid result type, array expected, <class 'NoneType'> found.stdout:
defaultdict(<class 'str'>, {0: 'GCC', 1: 'T', 2: 'CAGCCTA'})
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
#print(i, p, q)
#print(S[p:q + 1])
string_hash[i] = soS[p:q+1]
print(string_hash)
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
#print(i, p, q)
#print(S[p:q + 1])
string_hash[i] = sorted(S[p:q+1])
print(string_hash)
Invalid result type, array expected, <class 'NoneType'> found.stdout:
defaultdict(<class 'str'>, {0: ['C', 'C', 'G'], 1: ['T'], 2: ['A', 'A', 'C', 'C', 'C', 'G', 'T']})
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
string_hash[i] = sorted(S[p:q+1])
print(string_hash)
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
sorted(S[p:q+1])[0]
print(string_hash)
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
print(sorted(S[p:q+1])[0])
Invalid result type, array expected, <class 'NoneType'> found.stdout:
C T A
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_ = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
has
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
hash_alpha[min_num]
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list += hash_alpha[min_num]
print(answer_list)
Traceback (most recent call last): File "exec.py", line 155, in <module> main() File "exec.py", line 117, in main result = solution( S, P, Q ) File "/tmp/solution.py", line 13, in solution answer_list += hash_alpha[min_num] TypeError: 'int' object is not iterable
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list += hash_alpha[min_num]
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list += hash_alpha[min_num]
print(answer_list)
Traceback (most recent call last): File "exec.py", line 155, in <module> main() File "exec.py", line 117, in main result = solution( S, P, Q ) File "/tmp/solution.py", line 13, in solution answer_list += hash_alpha[min_num] TypeError: 'int' object is not iterable
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list += hash_alpha[min_num]
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
print(hash_alpha[min_num])
Invalid result type, array expected, <class 'NoneType'> found.stdout:
2 4 1
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list.append(hash_alpha[min_num])
prin
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import collections
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
string_hash = collections.defaultdict(str)
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list.append(hash_alpha[min_num])
print(answer_list)
Invalid result type, array expected, <class 'NoneType'> found.stdout:
[2, 4, 1]
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list.append(hash_alpha[min_num])
return answer_list
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list.append(hash_alpha[min_num])
return answer_list
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list.append(hash_alpha[min_num])
return answer_list
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(S, P, Q):
hash_alpha = {'A' : 1, 'C' : 2, 'G' : 3, 'T': 4 }
answer_list = list()
for i, (p , q) in enumerate(zip(P, Q)):
min_num = sorted(S[p:q+1])[0]
answer_list.append(hash_alpha[min_num])
return answer_list
The following issues have been detected: timeout errors.
GGGGGG..??..GGGGGG..??..GGGGGG
Killed. Hard limit reached: 6.000 sec.