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AVAILABLE LESSONS:

Lesson 1

Iterations

Lesson 2

Arrays

Lesson 3

Time Complexity

Lesson 4

Counting Elements

Lesson 5

Prefix Sums

Lesson 6

Sorting

Lesson 7

Stacks and Queues

Lesson 8

Leader

Lesson 9

Maximum slice problem

Lesson 10

Prime and composite numbers

Lesson 11

Sieve of Eratosthenes

Lesson 12

Euclidean algorithm

Lesson 13

Fibonacci numbers

Lesson 14

Binary search algorithm

Lesson 15

Caterpillar method

Lesson 16

Greedy algorithms

Lesson 17

Dynamic programming

Lesson 90

Tasks from Indeed Prime 2015 challenge

Lesson 91

Tasks from Indeed Prime 2016 challenge

Lesson 92

Tasks from Indeed Prime 2016 College Coders challenge

Lesson 99

Future training

Find the minimal nucleotide from a range of sequence DNA.

Programming language:
Spoken language:

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:

The answers to these M = 3 queries are as follows:

- The part of the DNA between positions 2 and 4 contains nucleotides
GandC(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
Awhose impact factor is 1, so the answer is 1.

Assume that the following declarations are given:

struct Results { int * A; int M; // Length of the array };

Write a function:

struct Results solution(char *S, int P[], int Q[], int M);

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 a structure `Results`.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

Copyright 2009–2020 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

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:

The answers to these M = 3 queries are as follows:

- The part of the DNA between positions 2 and 4 contains nucleotides
GandC(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
Awhose impact factor is 1, so the answer is 1.

Write a function:

vector<int> solution(string &S, vector<int> &P, vector<int> &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 a vector of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

Copyright 2009–2020 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

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:

The answers to these M = 3 queries are as follows:

- The part of the DNA between positions 2 and 4 contains nucleotides
GandC(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
Awhose impact factor is 1, so the answer is 1.

Write a function:

class Solution { public int[] solution(string S, int[] P, int[] 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:

the 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, 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.

Copyright 2009–2020 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

func Solution(S string, P []int, Q []int) []int

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

class Solution { public int[] solution(String S, int[] P, int[] Q); }

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

class Solution { public int[] solution(String S, int[] P, int[] Q); }

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

function solution(S, P, Q);

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

fun solution(S: String, P: IntArray, Q: IntArray): IntArray

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

function solution(S, P, Q)

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

Note: All arrays in this task are zero-indexed, unlike the common Lua convention. You can use `#A` to get the length of the array A.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

NSMutableArray * solution(NSString *S, NSMutableArray *P, NSMutableArray *Q);

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Assume that the following declarations are given:

Results = record A : array of longint; M : longint; {Length of the array} end;

Write a function:

function solution(S: PChar; P: array of longint; Q: array of longint; M: longint): Results;

Result array should be returned as a record `Results`.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

function solution($S, $P, $Q);

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

sub solution { my ($S, $P, $Q)=@_; my @P=@$P; my @Q=@$Q; ... }

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

def solution(S, P, Q)

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

def solution(s, p, q)

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

object Solution { def solution(s: String, p: Array[Int], q: Array[Int]): Array[Int] }

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

public func solution(_ S : inout String, _ P : inout [Int], _ Q : inout [Int]) -> [Int]

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

`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?

`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:

The answers to these M = 3 queries are as follows:

GandC(twice), whose impact factors are 3 and 2 respectively, so the answer is 2.T, whose impact factor is 4, so the answer is 4.Awhose impact factor is 1, so the answer is 1.

Write a function:

Private Function solution(S As String, P As Integer(), Q As Integer()) As Integer()

Result array should be returned as an array of integers.

For example, given the string S = `CAGCCTA` and arrays P, Q such that:

the 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, 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.

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