modify code

pull/6/head
左程云 4 years ago
parent 1c5e1d9215
commit d3542266f9

@ -56,12 +56,11 @@ public class Code01_MergeSort {
// 当前左组的,第一个位置
int L = 0;
while (L < N) {
int M = L + mergeSize - 1;
if (M >= N) {
if (mergeSize >= N - L) {
break;
}
int R = Math.min(M + mergeSize, N - 1);
// L .... M M + 1..... R
int M = L + mergeSize - 1;
int R = M + Math.min(mergeSize, N - M - 1);
merge(arr, L, M, R);
L = R + 1;
}
@ -129,20 +128,20 @@ public class Code01_MergeSort {
int testTime = 500000;
int maxSize = 100;
int maxValue = 100;
boolean succeed = true;
System.out.println("测试开始");
for (int i = 0; i < testTime; i++) {
int[] arr1 = generateRandomArray(maxSize, maxValue);
int[] arr2 = copyArray(arr1);
mergeSort1(arr1);
mergeSort2(arr2);
if (!isEqual(arr1, arr2)) {
succeed = false;
System.out.println("出错了!");
printArray(arr1);
printArray(arr2);
break;
}
}
System.out.println(succeed ? "Nice!" : "Oops!");
System.out.println("测试结束");
}
}

@ -29,6 +29,7 @@ public class Code01_CountOfRangeSum {
int ans = 0;
int windowL = L;
int windowR = L;
// [windowL, windowR)
for (int i = M + 1; i <= R; i++) {
long min = arr[i] - upper;
long max = arr[i] - lower;
@ -38,7 +39,7 @@ public class Code01_CountOfRangeSum {
while (windowL <= M && arr[windowL] < min) {
windowL++;
}
ans += Math.max(0, windowR - windowL);
ans += windowR - windowL;
}
long[] help = new long[R - L + 1];
int i = 0;

@ -8,6 +8,9 @@ public class Code02_PartitionAndQuickSort {
arr[j] = tmp;
}
// arr[L..R]上以arr[R]位置的数做划分值
// <= X > X
// <= X X
public static int partition(int[] arr, int L, int R) {
if (L > R) {
return -1;
@ -30,7 +33,7 @@ public class Code02_PartitionAndQuickSort {
// arr[L...R] 玩荷兰国旗问题的划分以arr[R]做划分值
// <arr[R] ==arr[R] > arr[R]
public static int[] netherlandsFlag(int[] arr, int L, int R) {
if (L > R) {
if (L > R) { // L...R L>R
return new int[] { -1, -1 };
}
if (L == R) {
@ -39,16 +42,19 @@ public class Code02_PartitionAndQuickSort {
int less = L - 1; // < 区 右边界
int more = R; // > 区 左边界
int index = L;
while (index < more) {
while (index < more) { // 当前位置,不能和 >区的左边界撞上
if (arr[index] == arr[R]) {
index++;
} else if (arr[index] < arr[R]) {
// swap(arr, less + 1, index);
// less++;
// index++;
swap(arr, index++, ++less);
} else { // >
swap(arr, index, --more);
}
}
swap(arr, more, R);
swap(arr, more, R); // <[R] =[R] >[R]
return new int[] { less + 1, more };
}
@ -69,6 +75,11 @@ public class Code02_PartitionAndQuickSort {
process1(arr, M + 1, R);
}
public static void quickSort2(int[] arr) {
if (arr == null || arr.length < 2) {
return;
@ -76,15 +87,23 @@ public class Code02_PartitionAndQuickSort {
process2(arr, 0, arr.length - 1);
}
// arr[L...R] 排有序快排2.0方式
public static void process2(int[] arr, int L, int R) {
if (L >= R) {
return;
}
// [ equalArea[0] , equalArea[0]]
int[] equalArea = netherlandsFlag(arr, L, R);
process2(arr, L, equalArea[0] - 1);
process2(arr, equalArea[1] + 1, R);
}
public static void quickSort3(int[] arr) {
if (arr == null || arr.length < 2) {
return;

@ -53,6 +53,7 @@ public class Code03_QuickSortRecursiveAndUnrecursive {
}
// 快排非递归版本需要的辅助类
// 要处理的是什么范围上的排序
public static class Op {
public int l;
public int r;
@ -63,7 +64,7 @@ public class Code03_QuickSortRecursiveAndUnrecursive {
}
}
// 快排非递归版本
// 快排3.0 非递归版本
public static void quickSort2(int[] arr) {
if (arr == null || arr.length < 2) {
return;
@ -77,7 +78,7 @@ public class Code03_QuickSortRecursiveAndUnrecursive {
stack.push(new Op(0, el - 1));
stack.push(new Op(er + 1, N - 1));
while (!stack.isEmpty()) {
Op op = stack.pop();
Op op = stack.pop(); // op.l ... op.r
if (op.l < op.r) {
swap(arr, op.l + (int) (Math.random() * (op.r - op.l + 1)), op.r);
equalArea = netherlandsFlag(arr, op.l, op.r);

@ -1,8 +1,10 @@
package class04_06;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Comparator;
import java.util.PriorityQueue;
import java.util.TreeMap;
import java.util.TreeSet;
public class Code01_Comparator {
@ -19,71 +21,53 @@ public class Code01_Comparator {
}
}
public static class IdAscendingComparator
implements Comparator<Student> {
// 返回负数的时候,第一个参数排在前面
// 返回正数的时候,第二个参数排在前面
// 返回0的时候谁在前面无所谓
@Override
public int compare(Student o1, Student o2) {
return o1.id - o2.id;
}
}
public static class IdDescendingComparator implements Comparator<Student> {
// 任何比较器:
// compare方法里遵循一个统一的规范
// 返回负数的时候,认为第一个参数应该排在前面
// 返回正数的时候,认为第二个参数应该排在前面
// 返回0的时候认为无所谓谁放前面
public static class IdShengAgeJiangOrder implements Comparator<Student> {
// 根据id从小到大但是如果id一样按照年龄从大到小
@Override
public int compare(Student o1, Student o2) {
return o2.id - o1.id;
return o1.id != o2.id ? (o1.id - o2.id) : (o2.age - o1.age);
}
}
public static class AgeAscendingComparator implements Comparator<Student> {
@Override
public int compare(Student o1, Student o2) {
return o1.age - o2.age;
}
}
public static class AgeDescendingComparator implements Comparator<Student> {
public static class IdAscendingComparator implements Comparator<Student> {
// 返回负数的时候,第一个参数排在前面
// 返回正数的时候,第二个参数排在前面
// 返回0的时候谁在前面无所谓
@Override
public int compare(Student o1, Student o2) {
return o2.age - o1.age;
return o1.id - o2.id;
}
}
public static class AgeShengIdSheng implements Comparator<Student> {
public static class IdDescendingComparator implements Comparator<Student> {
@Override
public int compare(Student o1, Student o2) {
return o1.age != o2.age ? (o1.age - o2.age)
: (o1.id - o2.id);
return o2.id - o1.id;
}
}
// 先按照id排序id小的放前面
// id一样age大的前面
public static class IdInAgeDe implements Comparator<Student> {
@Override
public int compare(Student o1, Student o2) {
return o1.id != o2.id ? o1.id - o2.id : ( o2.age - o1.age );
return o1.id != o2.id ? o1.id - o2.id : (o2.age - o1.age);
}
}
public static void printStudents(Student[] students) {
for (Student student : students) {
System.out.println("Name : " + student.name + ", Id : " + student.id + ", Age : " + student.age);
@ -109,8 +93,7 @@ public class Code01_Comparator {
}
public static class AComp implements Comparator<Integer>{
public static class AComp implements Comparator<Integer> {
// 如果返回负数,认为第一个参数应该拍在前面
// 如果返回正数,认为第二个参数应该拍在前面
@ -125,88 +108,62 @@ public class Code01_Comparator {
}
public static void main(String[] args) {
Integer[] arr = {5,4,3,2,7,9,1,0};
Integer[] arr = { 5, 4, 3, 2, 7, 9, 1, 0 };
Arrays.sort(arr, new AComp());
for(int i = 0 ;i < arr.length;i++) {
for (int i = 0; i < arr.length; i++) {
System.out.println(arr[i]);
}
System.out.println("===========================");
Student student1 = new Student("A", 2, 20);
Student student2 = new Student("B", 3, 21);
Student student3 = new Student("C", 1, 22);
Student student1 = new Student("A", 4, 40);
Student student2 = new Student("B", 4, 21);
Student student3 = new Student("C", 3, 12);
Student student4 = new Student("D", 3, 62);
Student student5 = new Student("E", 3, 42);
// D E C A B
Student[] students = new Student[] { student1, student2, student3 };
Student[] students = new Student[] { student1, student2, student3, student4, student5 };
System.out.println("第一条打印");
Arrays.sort(students, new IdAscendingComparator());
printStudents(students);
System.out.println("===========================");
Arrays.sort(students, new IdDescendingComparator());
printStudents(students);
System.out.println("===========================");
Arrays.sort(students, new AgeAscendingComparator());
printStudents(students);
System.out.println("===========================");
////
//// Arrays.sort(students, new AgeDescendingComparator());
//// printStudents(students);
//// System.out.println("===========================");
//
// Arrays.sort(students, new AgeShengIdSheng());
// printStudents(students);
//
// System.out.println("===========================");
// System.out.println("===========================");
// System.out.println("===========================");
//
// PriorityQueue<Student> maxHeapBasedAge = new PriorityQueue<>(new AgeDescendingComparator());
// maxHeapBasedAge.add(student1);
// maxHeapBasedAge.add(student2);
// maxHeapBasedAge.add(student3);
// while (!maxHeapBasedAge.isEmpty()) {
// Student student = maxHeapBasedAge.poll();
// System.out.println("Name : " + student.name + ", Id : " + student.id + ", Age : " + student.age);
// }
// System.out.println("===========================");
PriorityQueue<Student> minHeapBasedId
= new PriorityQueue<>(new AgeAscendingComparator());
minHeapBasedId.add(student1);
minHeapBasedId.add(student2);
minHeapBasedId.add(student3);
while (!minHeapBasedId.isEmpty()) {
Student student = minHeapBasedId.poll();
System.out.println("Name : " + student.name + ", Id : " + student.id + ", Age : " + student.age);
Arrays.sort(students, new IdShengAgeJiangOrder());
for (int i = 0; i < students.length; i++) {
Student s = students[i];
System.out.println(s.name + "," + s.id + "," + s.age);
}
System.out.println("第二条打印");
ArrayList<Student> studentList = new ArrayList<>();
studentList.add(student1);
studentList.add(student2);
studentList.add(student3);
studentList.add(student4);
studentList.add(student5);
studentList.sort(new IdShengAgeJiangOrder());
for (int i = 0; i < studentList.size(); i++) {
Student s = studentList.get(i);
System.out.println(s.name + "," + s.id + "," + s.age);
}
// N * logN
System.out.println("第三条打印");
student1 = new Student("A", 4, 40);
student2 = new Student("B", 4, 21);
student3 = new Student("C", 4, 12);
student4 = new Student("D", 4, 62);
student5 = new Student("E", 4, 42);
TreeMap<Student, String> treeMap = new TreeMap<>((a, b) -> (a.id - b.id));
treeMap.put(student1, "我是学生1我的名字叫A");
treeMap.put(student2, "我是学生2我的名字叫B");
treeMap.put(student3, "我是学生3我的名字叫C");
treeMap.put(student4, "我是学生4我的名字叫D");
treeMap.put(student5, "我是学生5我的名字叫E");
for (Student s : treeMap.keySet()) {
System.out.println(s.name + "," + s.id + "," + s.age);
}
System.out.println("===========================");
System.out.println("===========================");
System.out.println("===========================");
TreeSet<Student> treeAgeDescending = new TreeSet<>(new AgeAscendingComparator());
treeAgeDescending.add(student1);
treeAgeDescending.add(student2);
treeAgeDescending.add(student3);
Student studentFirst = treeAgeDescending.first();
System.out.println("Name : " + studentFirst.name + ", Id : " + studentFirst.id + ", Age : " + studentFirst.age);
Student studentLast = treeAgeDescending.last();
System.out.println("Name : " + studentLast.name + ", Id : " + studentLast.id + ", Age : " + studentLast.age);
System.out.println("===========================");
}

@ -1,5 +1,8 @@
package class04_06;
import java.util.Comparator;
import java.util.PriorityQueue;
public class Code02_Heap {
public static class MyMaxHeap {
@ -39,29 +42,34 @@ public class Code02_Heap {
return ans;
}
// 新加进来的数现在停在了index位置请依次往上移动
// 移动到0位置或者干不掉自己的父亲了
private void heapInsert(int[] arr, int index) {
// arr[index]
// arr[index] 不比 arr[index父]大了
// index = 0;
// [index] [index-1]/2
// index == 0
while (arr[index] > arr[(index - 1) / 2]) {
swap(arr, index, (index - 1) / 2);
index = (index - 1) / 2;
}
}
// 从index位置往下看不断的下沉
// 停:我的孩子都不再比我大;已经没孩子了
// 从index位置往下看不断的下沉
// 停:较大的孩子都不再比index位置的数大;已经没孩子了
private void heapify(int[] arr, int index, int heapSize) {
int left = index * 2 + 1;
while (left < heapSize) {
// 左右两个孩子中谁大谁把自己的下标给largest
// 右 -> 1) 有右孩子 && 2右孩子的值比左孩子大才行
// 否则,左
while (left < heapSize) { // 如果有左孩子,有没有右孩子,可能有可能没有!
// 把较大孩子的下标给largest
int largest = left + 1 < heapSize && arr[left + 1] > arr[left] ? left + 1 : left;
largest = arr[largest] > arr[index] ? largest : index;
if (largest == index) {
break;
}
// index和较大孩子要互换
swap(arr, largest, index);
index = largest;
left = index * 2 + 1;
@ -116,7 +124,42 @@ public class Code02_Heap {
}
public static class MyComparator implements Comparator<Integer>{
@Override
public int compare(Integer o1, Integer o2) {
return o2 - o1;
}
}
public static void main(String[] args) {
// 小根堆
PriorityQueue<Integer> heap = new PriorityQueue<>(new MyComparator());
heap.add(5);
heap.add(5);
heap.add(5);
heap.add(3);
// 5 , 3
System.out.println(heap.peek());
heap.add(7);
heap.add(0);
heap.add(7);
heap.add(0);
heap.add(7);
heap.add(0);
System.out.println(heap.peek());
while(!heap.isEmpty()) {
System.out.println(heap.poll());
}
int value = 1000;
int limit = 100;
int testTimes = 1000000;

@ -14,6 +14,7 @@ public class Code03_HeapSort {
// for (int i = 0; i < arr.length; i++) { // O(N)
// heapInsert(arr, i); // O(logN)
// }
// O(N)
for (int i = arr.length - 1; i >= 0; i--) {
heapify(arr, i, arr.length);
}

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