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Copy path16. Greedy algorithms. TieRopes.swift
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16. Greedy algorithms. TieRopes.swift
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import Foundation
import Glibc
// Solution @ Sergey Leschev, Belarusian State University
// 16. Greedy algorithms. TieRopes.
// There are N ropes numbered from 0 to N − 1, whose lengths are given in an array A, lying on the floor in a line. For each I (0 ≤ I < N), the length of rope I on the line is A[I].
// We say that two ropes I and I + 1 are adjacent. Two adjacent ropes can be tied together with a knot, and the length of the tied rope is the sum of lengths of both ropes. The resulting new rope can then be tied again.
// For a given integer K, the goal is to tie the ropes in such a way that the number of ropes whose length is greater than or equal to K is maximal.
// For example, consider K = 4 and array A such that:
// A[0] = 1
// A[1] = 2
// A[2] = 3
// A[3] = 4
// A[4] = 1
// A[5] = 1
// A[6] = 3
// The ropes are shown in the figure below.
// We can tie:
// rope 1 with rope 2 to produce a rope of length A[1] + A[2] = 5;
// rope 4 with rope 5 with rope 6 to produce a rope of length A[4] + A[5] + A[6] = 5.
// After that, there will be three ropes whose lengths are greater than or equal to K = 4. It is not possible to produce four such ropes.
// Write a function:
// class Solution { public int solution(int K, int[] A); }
// that, given an integer K and a non-empty array A of N integers, returns the maximum number of ropes of length greater than or equal to K that can be created.
// For example, given K = 4 and array A such that:
// A[0] = 1
// A[1] = 2
// A[2] = 3
// A[3] = 4
// A[4] = 1
// A[5] = 1
// A[6] = 3
// the function should return 3, as explained above.
// Write an efficient algorithm for the following assumptions:
// N is an integer within the range [1..100,000];
// K is an integer within the range [1..1,000,000,000];
// each element of array A is an integer within the range [1..1,000,000,000].
public func solution(_ K: Int, _ A: inout [Int]) -> Int {
var ropesCount = 0
var length = 0
for i in 0..<A.count {
let a = A[i]
length += a
if length >= K {
ropesCount += 1
length = 0
}
}
return ropesCount
}