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Programming language:
Spoken language:

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

int solution(int N, int M);

that, given two non-negative integers N and M, returns a remainder of F(N^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

int solution(int N, int M);

that, given two non-negative integers N and M, returns a remainder of F(N^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

class Solution { public int solution(int N, int M); }

that, given two non-negative integers N and M, returns a remainder of F(N^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

func Solution(N int, M int) int

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

class Solution { public int solution(int N, int M); }

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

function solution(N, M);

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

function solution(N, M)

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

int solution(int N, int M);

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

function solution(N: longint; M: longint): longint;

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

function solution($N, $M);

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

sub solution { my ($N, $M)=@_; ... }

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

def solution(N, M)

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

def solution(n, m)

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

object Solution { def solution(n: Int, m: Int): Int }

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

public func solution(N : Int, _ M : Int) -> Int

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

public func solution(_ N : Int, _ M : Int) -> Int

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

The Fibonacci sequence is defined by the following recursive formula:

F(0) = 0

F(1) = 1

F(N) = F(N−1) + F(N−2) for N ≥ 2

Write a function:

Private Function solution(N As Integer, M As Integer) As Integer

^{M}) modulo 10,000,103.

Note: 10,000,103 is a prime number.

For example, given N = 2 and M = 3, the function should return 21, since 2^{3} = 8 and F(8) = 21.

Assume that:

- N and M are integers within the range [0..10,000,000].

Complexity:

- expected worst-case time complexity is O(log(N+M));
- expected worst-case space complexity is O(1).

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