Java 数组的随机洗牌
我需要随机洗牌以下数组:Java 数组的随机洗牌,java,arrays,random,shuffle,Java,Arrays,Random,Shuffle,我需要随机洗牌以下数组: int[] solutionArray = {1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1}; 有什么函数可以做到这一点吗?看看这个类,特别是shuffle(…)使用集合来洗牌一个基元类型数组有点过分了 您自己实现该功能非常简单,例如: import java.util.*; 导入java.util.concurrent.ThreadLocalRandom; 课堂测试 { 公共静态void main(字符串参数[]) { int[]soluti
int[] solutionArray = {1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1};
有什么函数可以做到这一点吗?看看这个类,特别是
shuffle(…)
使用集合来洗牌一个基元类型数组有点过分了
您自己实现该功能非常简单,例如:
import java.util.*;
导入java.util.concurrent.ThreadLocalRandom;
课堂测试
{
公共静态void main(字符串参数[])
{
int[]solutionaray={1,2,3,4,5,6,16,15,14,13,12,11};
Shuffleray(Solutionaray);
对于(int i=0;i0;i--)
{
整数指数=rnd.nextInt(i+1);
//简单交换
int a=ar[指数];
ar[index]=ar[i];
ar[i]=a;
}
}
}
以下是使用数组列表的简单方法:
List<Integer> solution = new ArrayList<>();
for (int i = 1; i <= 6; i++) {
solution.add(i);
}
Collections.shuffle(solution);
List solution=new ArrayList();
对于(int i=1;i,这里有一个有效的Fisher–Yates shuffle数组函数:
private static void shuffleArray(int[] array)
{
int index;
Random random = new Random();
for (int i = array.length - 1; i > 0; i--)
{
index = random.nextInt(i + 1);
if (index != i)
{
array[index] ^= array[i];
array[i] ^= array[index];
array[index] ^= array[i];
}
}
}
或
类有一个有效的洗牌方法,可以复制该方法,以便不依赖它:
/**
* Usage:
* int[] array = {1, 2, 3};
* Util.shuffle(array);
*/
public class Util {
private static Random random;
/**
* Code from method java.util.Collections.shuffle();
*/
public static void shuffle(int[] array) {
if (random == null) random = new Random();
int count = array.length;
for (int i = count; i > 1; i--) {
swap(array, i - 1, random.nextInt(i));
}
}
private static void swap(int[] array, int i, int j) {
int temp = array[i];
array[i] = array[j];
array[j] = temp;
}
}
使用ArrayList
可以帮助您解决洗牌问题,而无需应用大量逻辑和花费较少时间。以下是我的建议:
ArrayList<Integer> x = new ArrayList<Integer>();
for(int i=1; i<=add.length(); i++)
{
x.add(i);
}
Collections.shuffle(x);
ArrayList x=new ArrayList();
对于(int i=1;i这里有一个使用集合的完整解决方案。shuffle
方法:
public static void shuffleArray(int[] array) {
List<Integer> list = new ArrayList<>();
for (int i : array) {
list.add(i);
}
Collections.shuffle(list);
for (int i = 0; i < list.size(); i++) {
array[i] = list.get(i);
}
}
publicstaticvoidshufflearlay(int[]数组){
列表=新的ArrayList();
for(int i:array){
列表.添加(i);
}
集合。洗牌(列表);
对于(int i=0;i
请注意,由于Java无法在int[]
和Integer[]
(因此int[]
和List
)之间平滑转换,它会受到影响。以下是数组的泛型版本:
import java.util.Random;
public class Shuffle<T> {
private final Random rnd;
public Shuffle() {
rnd = new Random();
}
/**
* Fisher–Yates shuffle.
*/
public void shuffle(T[] ar) {
for (int i = ar.length - 1; i > 0; i--) {
int index = rnd.nextInt(i + 1);
T a = ar[index];
ar[index] = ar[i];
ar[i] = a;
}
}
}
import java.util.Random;
公开课洗牌{
私有最终随机rnd;
公开洗牌{
rnd=新随机数();
}
/**
*费舍尔-耶茨洗牌。
*/
公共无效洗牌(T[]ar){
对于(int i=ar.length-1;i>0;i--){
整数指数=rnd.nextInt(i+1);
T a=ar[指数];
ar[index]=ar[i];
ar[i]=a;
}
}
}
考虑到ArrayList基本上只是一个数组,建议使用ArrayList而不是显式数组,并使用Collections.shuffle()。但是,性能测试并未显示上述和Collections之间的任何显著差异。sort():
Shuffe.shuffle(…)性能:每秒576084次洗牌
洗牌(ArrayList)性能:每秒629400次洗牌
洗牌(int[])性能:每秒53062次洗牌
Apache Commons实现MathArrays.shuffle仅限于int[],性能损失可能是由于使用了随机数生成器
Random rnd = new Random();
for (int i = ar.length - 1; i > 0; i--)
{
int index = rnd.nextInt(i + 1);
// Simple swap
int a = ar[index];
ar[index] = ar[i];
ar[i] = a;
}
顺便说一句,我注意到这段代码返回了ar.length-1
个元素,因此如果你的数组有5个元素,新的无序数组将有4个元素。这是因为for循环说I>0
。如果你改为I>=0
,你会得到所有元素的无序排列。你在这里有几个选项。下面是一个列表当谈到洗牌时,与数组有点不同
如下所示,数组比列表快,基元数组比对象数组快
样本持续时间
您现在可以使用java 8:
Collections.addAll(list, arr);
Collections.shuffle(list);
cardsList.toArray(arr);
我正在考虑这个非常流行的问题,因为没有人编写过无序复制版本。样式大量借用了array.java
,因为现在谁没有掠夺java技术?包括泛型和int
实现
/**
* Shuffles elements from {@code original} into a newly created array.
*
* @param original the original array
* @return the new, shuffled array
* @throws NullPointerException if {@code original == null}
*/
@SuppressWarnings("unchecked")
public static <T> T[] shuffledCopy(T[] original) {
int originalLength = original.length; // For exception priority compatibility.
Random random = new Random();
T[] result = (T[]) Array.newInstance(original.getClass().getComponentType(), originalLength);
for (int i = 0; i < originalLength; i++) {
int j = random.nextInt(i+1);
result[i] = result[j];
result[j] = original[i];
}
return result;
}
/**
* Shuffles elements from {@code original} into a newly created array.
*
* @param original the original array
* @return the new, shuffled array
* @throws NullPointerException if {@code original == null}
*/
public static int[] shuffledCopy(int[] original) {
int originalLength = original.length;
Random random = new Random();
int[] result = new int[originalLength];
for (int i = 0; i < originalLength; i++) {
int j = random.nextInt(i+1);
result[i] = result[j];
result[j] = original[i];
}
return result;
}
/**
*将元素从{@code original}洗牌到新创建的数组中。
*
*@param original原始数组
*@返回新的洗牌阵法
*@在{@code original==null}时抛出NullPointerException
*/
@抑制警告(“未选中”)
公共静态T[]随机副本(T[]原件){
int originalLength=origin.length;//用于例外优先级兼容性。
随机=新随机();
T[]result=(T[])Array.newInstance(origin.getClass().getComponentType(),originalLength);
for(int i=0;i
以下代码将实现阵列上的随机排序
// Shuffle the elements in the array
Collections.shuffle(Arrays.asList(array));
发件人:这是knuth洗牌算法
public class Knuth {
// this class should not be instantiated
private Knuth() { }
/**
* Rearranges an array of objects in uniformly random order
* (under the assumption that <tt>Math.random()</tt> generates independent
* and uniformly distributed numbers between 0 and 1).
* @param a the array to be shuffled
*/
public static void shuffle(Object[] a) {
int n = a.length;
for (int i = 0; i < n; i++) {
// choose index uniformly in [i, n-1]
int r = i + (int) (Math.random() * (n - i));
Object swap = a[r];
a[r] = a[i];
a[i] = swap;
}
}
/**
* Reads in a sequence of strings from standard input, shuffles
* them, and prints out the results.
*/
public static void main(String[] args) {
// read in the data
String[] a = StdIn.readAllStrings();
// shuffle the array
Knuth.shuffle(a);
// print results.
for (int i = 0; i < a.length; i++)
StdOut.println(a[i]);
}
}
公共类Knuth{
//不应实例化此类
私有Knuth(){}
/**
*按均匀随机顺序重新排列对象数组
*(假设Math.random()生成独立的
*和均匀分布的数字(介于0和1之间)。
*@param a要洗牌的阵法
*/
公共静态无效洗牌(对象[]a)
import java.lang.reflect.Array;
import java.util.*;
public class ShuffleUtil<T> {
private static final int[] EMPTY_INT_ARRAY = new int[0];
private static final int SHUFFLE_THRESHOLD = 5;
private static Random rand;
public static void main(String[] args) {
List<Integer> list = null;
Integer[] arr = null;
int[] iarr = null;
long start = 0;
int cycles = 1000;
int n = 1000;
// Shuffle List<Integer>
start = System.nanoTime();
list = range(n);
for (int i = 0; i < cycles; i++) {
ShuffleUtil.shuffle(list);
}
System.out.printf("%22s: %dns%n", "List<Integer> Shuffle", (System.nanoTime() - start) / cycles);
// Shuffle Integer[]
start = System.nanoTime();
arr = toArray(list);
for (int i = 0; i < cycles; i++) {
ShuffleUtil.shuffle(arr);
}
System.out.printf("%22s: %dns%n", "Integer[] Shuffle", (System.nanoTime() - start) / cycles);
// Shuffle int[]
start = System.nanoTime();
iarr = toPrimitive(arr);
for (int i = 0; i < cycles; i++) {
ShuffleUtil.shuffle(iarr);
}
System.out.printf("%22s: %dns%n", "int[] Shuffle", (System.nanoTime() - start) / cycles);
}
// ================================================================
// Shuffle List<T> (java.lang.Collections)
// ================================================================
@SuppressWarnings("unchecked")
public static <T> void shuffle(List<T> list) {
if (rand == null) {
rand = new Random();
}
int size = list.size();
if (size < SHUFFLE_THRESHOLD || list instanceof RandomAccess) {
for (int i = size; i > 1; i--) {
swap(list, i - 1, rand.nextInt(i));
}
} else {
Object arr[] = list.toArray();
for (int i = size; i > 1; i--) {
swap(arr, i - 1, rand.nextInt(i));
}
ListIterator<T> it = list.listIterator();
int i = 0;
while (it.hasNext()) {
it.next();
it.set((T) arr[i++]);
}
}
}
public static <T> void swap(List<T> list, int i, int j) {
final List<T> l = list;
l.set(i, l.set(j, l.get(i)));
}
public static <T> List<T> shuffled(List<T> list) {
List<T> copy = copyList(list);
shuffle(copy);
return copy;
}
// ================================================================
// Shuffle T[]
// ================================================================
public static <T> void shuffle(T[] arr) {
if (rand == null) {
rand = new Random();
}
for (int i = arr.length - 1; i > 0; i--) {
swap(arr, i, rand.nextInt(i + 1));
}
}
public static <T> void swap(T[] arr, int i, int j) {
T tmp = arr[i];
arr[i] = arr[j];
arr[j] = tmp;
}
public static <T> T[] shuffled(T[] arr) {
T[] copy = Arrays.copyOf(arr, arr.length);
shuffle(copy);
return copy;
}
// ================================================================
// Shuffle int[]
// ================================================================
public static <T> void shuffle(int[] arr) {
if (rand == null) {
rand = new Random();
}
for (int i = arr.length - 1; i > 0; i--) {
swap(arr, i, rand.nextInt(i + 1));
}
}
public static <T> void swap(int[] arr, int i, int j) {
int tmp = arr[i];
arr[i] = arr[j];
arr[j] = tmp;
}
public static int[] shuffled(int[] arr) {
int[] copy = Arrays.copyOf(arr, arr.length);
shuffle(copy);
return copy;
}
// ================================================================
// Utility methods
// ================================================================
protected static <T> List<T> copyList(List<T> list) {
List<T> copy = new ArrayList<T>(list.size());
for (T item : list) {
copy.add(item);
}
return copy;
}
protected static int[] toPrimitive(Integer[] array) {
if (array == null) {
return null;
} else if (array.length == 0) {
return EMPTY_INT_ARRAY;
}
final int[] result = new int[array.length];
for (int i = 0; i < array.length; i++) {
result[i] = array[i].intValue();
}
return result;
}
protected static Integer[] toArray(List<Integer> list) {
return toArray(list, Integer.class);
}
protected static <T> T[] toArray(List<T> list, Class<T> clazz) {
@SuppressWarnings("unchecked")
final T[] arr = list.toArray((T[]) Array.newInstance(clazz, list.size()));
return arr;
}
// ================================================================
// Range class for generating a range of values.
// ================================================================
protected static List<Integer> range(int n) {
return toList(new Range(n), new ArrayList<Integer>());
}
protected static <T> List<T> toList(Iterable<T> iterable) {
return toList(iterable, new ArrayList<T>());
}
protected static <T> List<T> toList(Iterable<T> iterable, List<T> destination) {
addAll(destination, iterable.iterator());
return destination;
}
protected static <T> void addAll(Collection<T> collection, Iterator<T> iterator) {
while (iterator.hasNext()) {
collection.add(iterator.next());
}
}
private static class Range implements Iterable<Integer> {
private int start;
private int stop;
private int step;
private Range(int n) {
this(0, n, 1);
}
private Range(int start, int stop) {
this(start, stop, 1);
}
private Range(int start, int stop, int step) {
this.start = start;
this.stop = stop;
this.step = step;
}
@Override
public Iterator<Integer> iterator() {
final int min = start;
final int max = stop / step;
return new Iterator<Integer>() {
private int current = min;
@Override
public boolean hasNext() {
return current < max;
}
@Override
public Integer next() {
if (hasNext()) {
return current++ * step;
} else {
throw new NoSuchElementException("Range reached the end");
}
}
@Override
public void remove() {
throw new UnsupportedOperationException("Can't remove values from a Range");
}
};
}
}
}
Collections.addAll(list, arr);
Collections.shuffle(list);
cardsList.toArray(arr);
/**
* Shuffles elements from {@code original} into a newly created array.
*
* @param original the original array
* @return the new, shuffled array
* @throws NullPointerException if {@code original == null}
*/
@SuppressWarnings("unchecked")
public static <T> T[] shuffledCopy(T[] original) {
int originalLength = original.length; // For exception priority compatibility.
Random random = new Random();
T[] result = (T[]) Array.newInstance(original.getClass().getComponentType(), originalLength);
for (int i = 0; i < originalLength; i++) {
int j = random.nextInt(i+1);
result[i] = result[j];
result[j] = original[i];
}
return result;
}
/**
* Shuffles elements from {@code original} into a newly created array.
*
* @param original the original array
* @return the new, shuffled array
* @throws NullPointerException if {@code original == null}
*/
public static int[] shuffledCopy(int[] original) {
int originalLength = original.length;
Random random = new Random();
int[] result = new int[originalLength];
for (int i = 0; i < originalLength; i++) {
int j = random.nextInt(i+1);
result[i] = result[j];
result[j] = original[i];
}
return result;
}
// Shuffle the elements in the array
Collections.shuffle(Arrays.asList(array));
public class Knuth {
// this class should not be instantiated
private Knuth() { }
/**
* Rearranges an array of objects in uniformly random order
* (under the assumption that <tt>Math.random()</tt> generates independent
* and uniformly distributed numbers between 0 and 1).
* @param a the array to be shuffled
*/
public static void shuffle(Object[] a) {
int n = a.length;
for (int i = 0; i < n; i++) {
// choose index uniformly in [i, n-1]
int r = i + (int) (Math.random() * (n - i));
Object swap = a[r];
a[r] = a[i];
a[i] = swap;
}
}
/**
* Reads in a sequence of strings from standard input, shuffles
* them, and prints out the results.
*/
public static void main(String[] args) {
// read in the data
String[] a = StdIn.readAllStrings();
// shuffle the array
Knuth.shuffle(a);
// print results.
for (int i = 0; i < a.length; i++)
StdOut.println(a[i]);
}
}
MathArrays.shuffle(array);
ArrayUtils.shuffle(array);
//that way, send many object types diferentes
public anotherWayToReciveParameter(Object... objects)
{
//ready with array
final int length =objects.length;
System.out.println(length);
//for ready same list
Arrays.asList(objects);
}
String location[] = {"delhi","banglore","mathura","lucknow","chandigarh","mumbai"};
int index;
String temp;
Random random = new Random();
for(int i=1;i<location.length;i++)
{
index = random.nextInt(i+1);
temp = location[index];
location[index] = location[i];
location[i] = temp;
System.out.println("Location Based On Random Values :"+location[i]);
}
int[] intArr = {1,2,3};
List<Integer> integerList = Arrays.asList(ArrayUtils.toObject(array));
Collections.shuffle(integerList);
//now! elements in integerList are shuffled!
public class ShuffleArray {
public static void shuffleArray(int[] a) {
int n = a.length;
Random random = new Random();
random.nextInt();
for (int i = 0; i < n; i++) {
int change = i + random.nextInt(n - i);
swap(a, i, change);
}
}
private static void swap(int[] a, int i, int change) {
int helper = a[i];
a[i] = a[change];
a[change] = helper;
}
public static void main(String[] args) {
int[] a = new int[] { 1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1 };
shuffleArray(a);
for (int i : a) {
System.out.println(i);
}
}
}
solutionArray.sort{ new Random().nextInt() }
public List<Integer> shuffleArray(List<Integer> a) {
List<Integer> b = new ArrayList<Integer>();
while (a.size() != 0) {
int arrayIndex = (int) (Math.random() * (a.size()));
b.add(a.get(arrayIndex));
a.remove(a.get(arrayIndex));
}
return b;
}
import java.util.*;
public class ch {
public static void main(String args[])
{
Scanner sc=new Scanner(System.in);
ArrayList<Integer> l=new ArrayList<Integer>(10);
for(int i=0;i<10;i++)
l.add(sc.nextInt());
Collections.shuffle(l);
for(int j=0;j<10;j++)
System.out.println(l.get(j));
}
}
import java.util.ArrayList;
import java.util.Random;
public class shuffle {
public static void main(String[] args) {
int a[] = {1,2,3,4,5,6,7,8,9};
ArrayList b = new ArrayList();
int i=0,q=0;
Random rand = new Random();
while(a.length!=b.size())
{
int l = rand.nextInt(a.length);
//this is one option to that but has a flaw on 0
// if(a[l] !=0)
// {
// b.add(a[l]);
// a[l]=0;
//
// }
//
// this works for every no.
if(!(b.contains(a[l])))
{
b.add(a[l]);
}
}
// for (int j = 0; j <b.size(); j++) {
// System.out.println(b.get(j));
//
// }
System.out.println(b);
}
}
Random r = new Random();
int n = solutionArray.length;
List<Integer> arr = Arrays.stream(solutionArray).boxed().collect(Collectors.toList());
for (int i = 0; i < n-1; i++) {
solutionArray[i] = arr.remove( r.nextInt(arr.size())); // randomize base on size
}
solutionArray[n-1] = arr.get(0);
Random genRandom = new Random();
int num = genRandom.nextInt(arr.length);
Collections.shuffle(Ints.asList(array));
static void randomArrTimest(int[] some){
long startTime = System.currentTimeMillis();
for (int i = 0; i < some.length; i++) {
long indexToSwap = startTime%(i+1);
long tmp = some[(int) indexToSwap];
some[(int) indexToSwap] = some[i];
some[i] = (int) tmp;
}
System.out.println(Arrays.toString(some));
}
public static void randomizeArray(int[] arr) {
Random rGenerator = new Random(); // Create an instance of the random class
for (int i =0; i< arr.length;i++ ) {
//Swap the positions...
int rPosition = rGenerator.nextInt(arr.length); // Generates an integer within the range (Any number from 0 - arr.length)
int temp = arr[i]; // variable temp saves the value of the current array index;
arr[i] = arr[rPosition]; // array at the current position (i) get the value of the random generated
arr[rPosition] = temp; // the array at the position of random generated gets the value of temp
}
for(int i = 0; i<arr.length; i++) {
System.out.print(arr[i]); //Prints out the array
}
}
public static void shuffle(int[] array) {
Collections.shuffle(new AbstractList<Integer>() {
@Override public Integer get(int index) { return array[index]; }
@Override public int size() { return array.length; }
@Override public Integer set(int index, Integer element) {
int result = array[index];
array[index] = element;
return result;
}
});
}
int[] solutionArray = {1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1};
shuffle(solutionArray);
System.out.println(Arrays.toString(solutionArray));
[3, 3, 4, 1, 6, 2, 2, 1, 5, 6, 5, 4]