我前几天接受了一项关于工作的苛刻测试,因此我一直在练习使用他们培训页面中的一些问题 Link
不幸的是,我只能在磁带均衡问题上得到83/100:
给出了由N个整数组成的非空零索引数组A.数组A表示磁带上的数字 任何整数P,使得0 <0。 P&lt; N,将此磁带分成两个非空部分:A [0],A [1],...,A [P-1]和A [P],A [P + 1],...,A [N - 1 ]。
两部分之间的差异是值:|(A [0] + A [1] + ... + A [P - 1]) - (A [P] + A [P + 1] + ... + A [N - 1])|
换句话说,它是第一部分之和与第二部分之和的绝对差异。编写一个函数,给定N个整数的非空零索引数组A,返回可以实现的最小差异。
实施例:
A[0] = 3 A[1] = 1 A[2] = 2 A[3] = 4 A[4] = 3
我们可以将这个磁带分成四个位置:
P = 1
,差异= | 3 - 10 | = 7
P = 2
,差异= | 4 - 9 | = 5
P = 3
,差异= | 6 - 7 | = 1
P = 4
,差异= | 10 - 3 | = 7
在这种情况下,我会返回1,因为它是最小的差异。N是一个int,范围[2..100,000]; A的每个元素都是一个int,范围[-1,000..1,000]。它需要是O(n)时间复杂度,
我的代码如下:
import java.math.*;
class Solution {
public int solution(int[] A) {
long sumright = 0;
long sumleft = 0;
long ans;
for (int i =1;i<A.length;i++)
sumright += A[i];
sumleft = A[0];
ans =Math.abs(Math.abs(sumright)+Math.abs(sumleft));
for (int P=1; P<A.length; P++)
{
if (Math.abs(Math.abs(sumleft) - Math.abs(sumright))<ans)
ans = Math.abs(Math.abs(sumleft) - Math.abs(sumright));
sumleft += A[P];
sumright -=A[P];
}
return (int) ans;
}
我对Math.abs感到有点生气。它失败的两个测试区域是“双”(我认为是两个值,-1000和1000,以及“小”)。 http://codility.com/demo/results/demo9DAQ4T-2HS/
任何帮助都会受到赞赏,我想确保我没有犯任何基本错误。
答案 0 :(得分:11)
您的解决方案已经是O(N)。你需要从sumleft和sumright中删除abs。
if (Math.abs( sumleft - sumright ) < ans)
{
ans = Math.abs( sumleft - sumright );
}
在第二个for循环之前,
ans =Math.abs( sumleft - sumright );
它应该有用。
答案 1 :(得分:10)
100%,在Javascript中
var i, ll = A.length, tot = 0, upto = 0, min = Number.MAX_INT;
for (i=0; i<ll; i++) tot += A[i];
for (i=0; i<ll-1; i++)
{
upto += A[i];
var a1 = upto, a2 = tot - a1, dif = Math.abs(a1 - a2);
if (dif < min)
min = dif;
}
return min;
答案 2 :(得分:3)
在Ruby中考虑这个100/100解决方案:
# Algorithm:
#
# * Compute the sum of all elements.
# * Iterate over elements, maintain left and right weights appropriately.
# * Maintain a minimum of `(left - right).abs`.
def solution(ar)
sum = ar.inject(:+)
left = ar[0]
right = sum - left
min_diff = (right - left).abs
1.upto(ar.size - 2) do |i|
left += ar[i]
right -= ar[i]
diff = (right - left).abs
min_diff = [min_diff, diff].min
end
# Result.
min_diff
end
#--------------------------------------- Tests
def test
sets = []
sets << ["1", 1, [1]]
sets << ["31", 2, [3, 1]]
sets << ["312", 0, [3, 1, 2]]
sets << ["[1]*4", 0, [1]*4]
sets << ["[1]*5", 1, [1]*5]
sets << ["sample", 1, [3, 1, 2, 4, 3]]
sets.each do |name, expected, ar|
out = solution(ar)
raise "FAILURE at test #{name.inspect}: #{out.inspect} != #{expected.inspect}" if out != expected
end
puts "SUCCESS: All tests passed"
end
答案 3 :(得分:3)
一些C#为你。
using System;
// you can also use other imports, for example:
// using System.Collections.Generic;
class Solution
{
public int solution(int[] A)
{
// write your code in C# with .NET 2.0
int sumRight = 0;
for(int i=0; i<A.Length; i++)
{
sumRight += A[i];
}
int sumLeft = 0;
int min = int.MaxValue;
for(int P=1; P<A.Length; P++)
{
int currentP = A[P-1];
sumLeft += currentP;
sumRight -= currentP;
int diff = Math.Abs(sumLeft - sumRight);
if(diff < min)
{
min = diff;
}
}
return min;
}
}
答案 4 :(得分:2)
我也遇到了像CTB一样有83%的问题,但对于我的C ++解决方案。
对于我的代码,我的磁带总和是在更新权利和leftsum之后评估,但其中存在问题。在这种情况下,第二个循环应该评估直到P = A.size() - 1。否则,您将最终评估磁带对,其中所有内容都添加到leftsum,并且没有任何内容添加到权利(根据问题描述不允许)。
下面我的解决方案的一个可能很好的方面(现在固定为100%)是,与上面几个解决方案相比,它对总和的评估少了一次。
#include <stdlib.h>
int solution(vector<int> &A) {
int sumright = 0;
int sumleft;
int result;
for (int i=1; i<A.size(); i++) {
sumright += A[i];
}
sumleft = A[0];
result = abs(sumleft-sumright);
for (int i=1; i<A.size()-1; i++) {
sumleft += A[i];
sumright -= A[i];
if (abs(sumleft-sumright)<result) {
result = abs(sumleft-sumright);
}
}
return result;
}
答案 5 :(得分:2)
这是我刚刚为它编写的解决方案(Java),非常简单易懂,并且是O(n)并且在编码方面100%得分:
public int solution(int[] A) {
if (A.length == 2)
return Math.abs(A[0]-A[1]);
int [] s1 = new int[A.length-1];
s1[0] = A[0];
for (int i=1;i<A.length-1;i++) {
s1[i] = s1[i-1] + A[i];
}
int [] s2 = new int[A.length-1];
s2[A.length-2] = A[A.length-1];
for (int i=A.length-3;i>=0;i--) {
s2[i] = s2[i+1] + A[i+1];
}
int finalSum = Integer.MAX_VALUE;
for (int j=0;j<s1.length;j++) {
int sum = Math.abs(s1[j]-s2[j]);
if (sum < finalSum)
finalSum = sum;
}
return finalSum;
}
答案 6 :(得分:1)
上面发布的类似CTB算法: 此代码在JAVA中获得100%的分数;
class Solution {
public int solution(int[] A) {
int [] diff;
int sum1;
int sum2=0;
int ans, localMin;
diff = new int[A.length-1];
//AT P=1 sum1=A[0]
sum1=A[0];
for (int i =1;i<A.length;i++){
sum2 += A[i];
}
ans = Math.abs(sum1- sum2);
for (int p= 1;p<A.length;p++){
localMin= Math.abs(sum1- sum2);
if( localMin < ans ){
ans = localMin;
}
//advance the sum1, sum2
sum1+= A[p];
sum2-= A[p];
diff[p-1]=localMin;
}
return (getMinVal(diff));
}
public int getMinVal(int[] arr){
int minValue = arr[0];
for(int i=1;i<arr.length;i++){
if(arr[i] < minValue){
minValue = arr[i];
}
}
return minValue;
}
}
答案 7 :(得分:1)
这是我在Python中的100分代码可能对你有所帮助。如果你有N = 2 A = [ - 1,1]当你得到总和你应该返回| -1-1 | = | -2,你应该看看它是否可以防止“双误” | = 2
def solution(A):
a=A
tablica=[]
tablica1=[]
suma=0
if len(a) == 2:
return abs(a[0]-a[1])
for x in a:
suma = suma + x
tablica.append(suma)
for i in range(len(tablica)-1):
wynik=(suma-2*tablica[i])
tablica1.append(abs(wynik))
tablica1.sort()
return tablica1[0]
答案 8 :(得分:1)
我的C#代码100/100:
using System;
class Solution
{
public int solution (int[] A)
{
int min = int.MaxValue;
int sumLeft = 0;
int sumRight = ArraySum (A);
for (int i = 1; i < A.Length; i++)
{
int val = A[i - 1];
sumLeft += val;
sumRight -= val;
int diff = Math.Abs (sumLeft - sumRight);
if (min > diff)
{
min = diff;
}
}
return min;
}
private int ArraySum (int[] array)
{
int sum = 0;
for (int i = 0; i < array.Length; i++)
{
sum += array[i];
}
return sum;
}
}
答案 9 :(得分:1)
C计划100%得分:Codility - TapeEquilibrium
int solution(int A[], int N) {
int i, leftSum, rightSum, last_minimum, current_min;
//initialise variables to store the right and left partition sum
//of the divided tape
//begin dividing from position 1 (2nd element) in a 0-based array
//therefore the left partition sum will start with
//just the value of the 1st element
leftSum = A[0];
//begin dividing from position 1 (2nd element) in a 0-based array
//therefore the right partition initial sum will start with
//the sum of all array element excluding the 1st element
rightSum = 0;
i = 1;
while (i < N) {
rightSum += A[i];
i++;
}
//get the initial sum difference between the partitions
last_minimum = abs(leftSum - rightSum);
if (last_minimum == 0) return last_minimum; //return immediately if 0 diff found
//begins shifting the divider starting from position 2 (3rd element)
//and evaluate the diff, return immediately if 0 diff found
//otherwise shift till the end of array length
i = 2; //shift the divider
while (i < N){
leftSum += A[i-1]; //increase left sum
rightSum -= A[i-1]; //decrease right sum
current_min = abs(leftSum - rightSum); //evaluate current diff
if (current_min == 0) return current_min; //return immediately if 0 diff
if (last_minimum > current_min) last_minimum = current_min; //evaluate
//lowest min
i++; //shift the divider
}
return last_minimum;
}
答案 10 :(得分:0)
我找到了TapeEquilibrium by Cheng on Codesays的完美解决方案。对于任何对它感到好奇的人,我都把它翻译成了Java。程的解决方案达到100% on Codility
public int solution(int[] A) {
// write your code in Java SE 7
int N = A.length;
int sum1 = A[0];
int sum2 = 0;
int P = 1;
for (int i = P; i < N; i++) {
sum2 += A[i];
}
int diff = Math.abs(sum1 - sum2);
for (; P < N-1; P++) {
sum1 += A[P];
sum2 -= A[P];
int newDiff = Math.abs(sum1 - sum2);
if (newDiff < diff) {
diff = newDiff;
}
}
return diff;
}
答案 11 :(得分:0)
这是我的100/100 Python解决方案:
def TapeEquilibrium(A):
left = A[0]
right = sum(A[1::])
diff = abs(left - right)
for p in range(1, len(A)):
ldiff = abs(left - right)
if ldiff < diff:
diff = ldiff
left += A[p]
right -= A[p]
return diff
答案 12 :(得分:0)
索引的起点和终点不正确 - 因此&#39;加倍&#39;测试失败,因为此测试只有一个起点和终点。如果使用的数字集合没有恰好包含对端点的依赖,则可能会通过其他测试。
设N = A.length 求和是右边的总和。其最大值应排除A [N],但包括A [0]。 sumleft - 从左边的总和。其最大值应包括A [0]但不包括A [N]。 因此,在第一个循环中错误地计算了最大值。 类似地,在第二循环中,由于排除了A [0],因此不计算sumleft的最大值。 Nadesri指出了这个问题,但我认为如果我明确指出代码中的错误会有用,因为那是你最初提出的问题。 这是我用c99编写的解决方案。 https://codility.com/demo/results/demoQ5UWYG-5KG/
答案 13 :(得分:0)
public static int solution(int[] A)
{
int SumLeft=0;
int SumRight = 0;
int bestValue=0;
for (int i = 0; i < A.Length; i++)
{
SumRight += A[i];
}
bestValue=SumRight;
for(int i=0;i<A.Length;i++)
{
SumLeft += A[i];
SumRight-=A[i];
if (Math.Abs(SumLeft - SumRight) < bestValue)
{
bestValue = Math.Abs(SumLeft - SumRight);
}
}
return bestValue;
}
答案 14 :(得分:0)
def TapeEquilibrium (A):
n = len(A)
pos = 0
diff= [0]
if len(A) == 2: return abs(a[0]-a[1])
for i in range(1,n-1,1):
diff.sort()
d = (sum(A[i+1:n-1]) - sum(A[0:i]))
diff.append(abs(d) + 1)
if abs(d) < diff[1]:
pos = i + 1
return pos
答案 15 :(得分:0)
100%得分:磁带均衡:Codility:JavaScript
function solution(A) {
// write your code in JavaScript (ECMA-262, 5th edition)
var p=0;
var index=0;
var leftSum=0;
var rightSum=0;
var totalSum=0;
var N = A.length;
var last_minimum=100000;
if(A.length == 2)
return (Math.abs(A[0]-A[1]));
if(A.length == 1)
return (Math.abs(A[0]));
for(index=0; index < N; index++)
totalSum = totalSum + A[index];
for(p=1; p <= N-1; p++){
leftSum += A[p - 1];
rightSum = totalSum - leftSum;
current_min = Math.abs(leftSum - rightSum);
last_minimum = current_min < last_minimum ? current_min : last_minimum;
if (last_minimum === 0)
break;
}
return last_minimum;
}
答案 16 :(得分:0)
C计划100%得分:Codility
int solution(int A[], int N) {
long p;
long index;
long leftSum;
long rightSum;
long totalSum=0;
long last_minimum=100000;
long current_min;
if(N==2) return abs(A[0]-A[1]);
if(N==1) return abs(A[0]);
for(index=0; index < N; index++)
totalSum = totalSum + A[index];
leftSum = 0; rightSum = 0;
for (p = 1; p <= N-1; p++) {
leftSum += A[p - 1];
rightSum = totalSum - leftSum;
current_min = abs((long)(leftSum - rightSum));
last_minimum = current_min < last_minimum ? current_min : last_minimum;
if (last_minimum == 0)
break;
}
return last_minimum;
}
int abs(int n) {
return (n >= 0) ? n : (-(n));
}
答案 17 :(得分:0)
以下是C ++(100/100)中的简单解决方案:
#include <numeric>
#include <stdlib.h>
int solution(vector<int> &A)
{
int left = 0;
int right = 0;
int bestDifference = 0;
int difference = 0;
left = std::accumulate( A.begin(), A.begin() + 1, 0);
right = std::accumulate( A.begin() + 1, A.end(), 0);
bestDifference = abs(left - right);
for( size_t i = 2; i < A.size(); i++ )
{
left += A[i - 1];
right -= A[i - 1];
difference = abs(left - right);
if( difference < bestDifference )
{
bestDifference = difference;
}
}
return bestDifference;
}
答案 18 :(得分:0)
这就是我做的! //使用.NET 2.0在C#中编写代码
using System;
class Solution
{
public int solution(int[] A)
{
int sumRight = 0, sumleft, result;
for(int i=1; i<A.Length; i++)
{
sumRight += A[i];
}
int sumLeft = A[0];
int min = int.MaxValue;
for(int P=1; P<A.Length; P++)
{
int currentP = A[P-1];
sumLeft += currentP;
sumRight -= currentP;
int diff = Math.Abs(sumLeft - sumRight);
if(diff < min)
{
min = diff;
}
}
return min;
}
}
答案 19 :(得分:0)
这是红宝石中的100分
def solution(a)
right = 0
left = a[0]
ar = Array.new
for i in 1...a.count
right += a[i]
end
for i in 1...a.count
check = (left - right).abs
ar[i-1] = check
left += a[i]
right -= a[i]
end
find = ar.min
if a.count == 2
find = (a[0]-a[1]).abs
end
find
end
答案 20 :(得分:0)
我正在做同样的任务,但不能超过50分。我的算法太慢了。所以,我搜索了一个提示并找到了解决方案。我只使用了将数组中的元素相加一次并得到100/100的想法。我的解决方案是使用JavaScript,但它可以很容易地转换为Java。您可以使用以下链接转到我的解决方案。
http://codility.com/demo/results/demo8CQZY5-RQ2/
如果您有任何问题,请查看我的代码并告诉我。我很乐意帮助你。
function solution(A) {
// write your code in JavaScript 1.6
var p = 1;
var sumPartOne = A[p - 1];
var sumPartTwo = sumUpArray(A.slice(p, A.length));
var diff = Math.abs(sumPartOne - sumPartTwo);
for(p; p < A.length - 1; p++) {
sumPartOne += A[p];
sumPartTwo -= A[p];
var tempDiff = Math.abs(sumPartOne - sumPartTwo);
if(tempDiff < diff) {
diff = tempDiff;
}
}
return diff;
}
function sumUpArray(A) {
var sum = 0;
for(var i = 0; i < A.length; i++) {
sum += A[i];
}
return sum;
}