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Calculate cheapest way of buying gas in order to drive along a highway.

Programming language:
Spoken language:

There are N+1 towns numbered from 0 to N lying along a highway. The distances between towns, and gas prices in each town, are given. A truck has to deliver cargo from town 0 to town N. What is the cheapest way to buy enough gas for this trip?

Two non-empty arrays D (distances) and P (prices), each consisting of N positive integers, and a positive integer T (tank capacity) are given. Consider any sequence R (refill strategy) consisting of N non-negative integers (amount of fuel bought in each town).

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

The following conditions (meaning that the truck must not run out of fuel and cannot fill up with more fuel than its tank capacity) must hold:

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Sequence [15, 10, 2] is a refill strategy with cost 46. Sequence [10, 5, 12] is not a valid refill strategy, because the truck would run out of fuel between towns 1 and 2. Sequence [10, 15, 2] is a refill strategy with cost 41, and no cheaper refill strategy exists for this choice of arrays D, P and number T.

Write a function:

int solution(int D[], int P[], int N, int T);

that, given two non-empty arrays D and P consisting of N positive integers each and a positive integer T, returns the cost of the cheapest refill strategy for D, P and T.

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Copyright 2009–2019 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

There are N+1 towns numbered from 0 to N lying along a highway. The distances between towns, and gas prices in each town, are given. A truck has to deliver cargo from town 0 to town N. What is the cheapest way to buy enough gas for this trip?

Two non-empty arrays D (distances) and P (prices), each consisting of N positive integers, and a positive integer T (tank capacity) are given. Consider any sequence R (refill strategy) consisting of N non-negative integers (amount of fuel bought in each town).

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

The following conditions (meaning that the truck must not run out of fuel and cannot fill up with more fuel than its tank capacity) must hold:

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Sequence [15, 10, 2] is a refill strategy with cost 46. Sequence [10, 5, 12] is not a valid refill strategy, because the truck would run out of fuel between towns 1 and 2. Sequence [10, 15, 2] is a refill strategy with cost 41, and no cheaper refill strategy exists for this choice of arrays D, P and number T.

Write a function:

int solution(vector<int> &D, vector<int> &P, int T);

that, given two non-empty arrays D and P consisting of N positive integers each and a positive integer T, returns the cost of the cheapest refill strategy for D, P and T.

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Copyright 2009–2019 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

There are N+1 towns numbered from 0 to N lying along a highway. The distances between towns, and gas prices in each town, are given. A truck has to deliver cargo from town 0 to town N. What is the cheapest way to buy enough gas for this trip?

Two non-empty arrays D (distances) and P (prices), each consisting of N positive integers, and a positive integer T (tank capacity) are given. Consider any sequence R (refill strategy) consisting of N non-negative integers (amount of fuel bought in each town).

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

The following conditions (meaning that the truck must not run out of fuel and cannot fill up with more fuel than its tank capacity) must hold:

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Sequence [15, 10, 2] is a refill strategy with cost 46. Sequence [10, 5, 12] is not a valid refill strategy, because the truck would run out of fuel between towns 1 and 2. Sequence [10, 15, 2] is a refill strategy with cost 41, and no cheaper refill strategy exists for this choice of arrays D, P and number T.

Write a function:

class Solution { public int solution(int[] D, int[] P, int T); }

that, given two non-empty arrays D and P consisting of N positive integers each and a positive integer T, returns the cost of the cheapest refill strategy for D, P and T.

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Copyright 2009–2019 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

func Solution(D []int, P []int, T int) int

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

class Solution { public int solution(int[] D, int[] P, int T); }

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

function solution(D, P, T);

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

fun solution(D: IntArray, P: IntArray, T: Int): Int

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

function solution(D, P, T)

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

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.

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

int solution(NSMutableArray *D, NSMutableArray *P, int T);

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

function solution(D: array of longint; P: array of longint; N: longint; T: longint): longint;

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

function solution($D, $P, $T);

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

def solution(D, P, T)

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

def solution(d, p, t)

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

object Solution { def solution(d: Array[Int], p: Array[Int], t: Int): Int }

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

public func solution(_ D : inout [Int], _ P : inout [Int], _ T : Int) -> Int

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

Sequence L (amount of fuel when leaving town), consisting of N integers, is defined as follows:

L[K] = (R[0] + ... + R[K]) − (D[0] + ... + D[K−1]) for 0 ≤ K ≤ N−1

Sequence A (amount of fuel when arriving at town), consisting of N integers, is defined as follows:

A[K] = L[K−1] − D[K−1] for 1 ≤ K ≤ N

- 0 ≤ L[K] ≤ T for 0 ≤ K ≤ N−1

- 0 ≤ A[K] ≤ T for 1 ≤ K ≤ N

Number C (total cost of refill strategy) is defined as:

C = R[0] * P[0] + ... + R[N−1] * P[N−1]

For example, consider T = 15 and the following arrays D and P, consisting of three elements each:

Write a function:

Private Function solution(D As Integer(), P As Integer(), T As Integer) As Integer

The function should return −1 if no valid refill strategy exists.

The function should return −2 if the result exceeds 1,000,000,000.

For example, given T = 15 and arrays D and P consisting of three elements each such that:

the function should return 41, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- T is an integer within the range [1..1,000,000];
- N is an integer within the range [1..100,000];
- each element of arrays D, P is an integer within the range [1..1,000,000].

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