package y2019.Algorithm.array.medium;
/**
* @ProjectName: cutter-point
* @Package: y2019.Algorithm.array.medium
* @ClassName: SortColors
* @Author: xiaof
* @Description: TODO 75. Sort Colors
* Given an array with n objects colored red, white or blue, sort them in-place so that objects of the same color are adjacent,
* with the colors in the order red, white and blue.
* Here, we will use the integers 0, 1, and 2 to represent the color red, white, and blue respectively.
*
* Input: [2,0,2,1,1,0]
* Output: [0,0,1,1,2,2]
*
* 给定一个包含红色、白色和蓝色，一共 n 个元素的数组，原地对它们进行排序，使得相同颜色的元素相邻，并按照红色、白色、蓝色顺序排列。
* 此题中，我们使用整数 0、 1 和 2 分别表示红色、白色和蓝色。
* 来源：力扣（LeetCode）
* 链接：https://leetcode-cn.com/problems/sort-colors
* 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
*
* 大神答案参考：https://leetcode.com/problems/sort-colors/discuss/26472/Share-my-at-most-two-pass-constant-space-10-line-solution
*
* @Date: 2019/7/19 9:03
* @Version: 1.0
*/
public class SortColors {
public void solution(int[] nums) {
//这里进行hash放置的话，可能会产生冲突，那么就需要把hash值依次往后排，然后和对应的值交换位置
//针对这题，因为只有三类数据，那么0再最开头，2再最末尾，其余的就会被放到中间
int index0 = 0, index2 = nums.length - 1;
for(int i = 0; i <= index2; ++i) {
while(nums[i] == 2 && i < index2) {
//当指定位置是2,那么我们吧他交换到指定的2的位置
//并且这里赋值字后，如果值改变了，那么就会跳出while循环，NB
nums[i] = nums[index2];
nums[index2--] = 2;
}
//然后交换0的位置
while(nums[i] == 0 && i > index0) {
nums[i] = nums[index0];
nums[index0++] = 0;
}
}
}
public static void main(String[] args) {
int data[] = {2,0,2,1,1,0};
SortColors fuc = new SortColors();
fuc.solution(data);
System.out.println();
}
}
package y2019.Algorithm.array.medium;
import java.util.HashMap;
import java.util.Map;
/**
* @ProjectName: cutter-point
* @Package: y2019.Algorithm.array.medium
* @ClassName: SubarraySum
* @Author: xiaof
* @Description: TODO 560. Subarray Sum Equals K
*
* Given an array of integers and an integer k, you need to find the total number of continuous subarrays whose sum equals to k.
* Input:nums = [1,1,1], k = 2
* Output: 2
*
* @Date: 2019/7/19 9:50
* @Version: 1.0
*/
public class SubarraySum {
public int solution(int[] nums, int k) {
//查子串和，那么我们遍历这个数组，然后求子串值，如果和超了，那么就把最前面的数剔除掉，然后再比较，小了就往后
int sum = 0, count = 0;
Map<Integer, Integer> sumMap = new HashMap();
sumMap.put(0, 1); //和为0的情况那么就是单独一个元素
//由于是求子串，子串是连续的，那么我们只要求出i->j连续的和是k即可
//而i->j = 0->j - 0->i 的差值,转而言之，我们需要把k + {0->i} = {0->j}求出来个数即可
for(int i = 0; i < nums.length; ++i) {
sum += nums[i];
//这里不需要考虑后面没有put进去的sum，因为我们要求i->j的和，只要判断前面的数据就可以了，后面的和放在后面比较
if(sumMap.containsKey(sum - k)) {
//那么就是存在
count += sumMap.get(sum - k);
}
//如果不包含，那么就把值放入，进行下一个子串的遍历
sumMap.put(sum, sumMap.getOrDefault(sum, 0) + 1);
}
return count;
}
}
package y2019.Algorithm.array.medium;
/**
* @ProjectName: cutter-point
* @Package: y2019.Algorithm.array.medium
* @ClassName: BuildTree
* @Author: xiaof
* @Description: TODO 105. Construct Binary Tree from Preorder and Inorder Traversal
* Given preorder and inorder traversal of a tree, construct the binary tree.
*
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
*
* preorder = [3,9,20,15,7]
* inorder = [9,3,15,20,7]
*
* 3
* / \
* 9 20
* / \
* 15 7
*
* @Date: 2019/7/19 10:31
* @Version: 1.0
*/
public class BuildTree {
public class TreeNode {
private int value;
private TreeNode left;
private TreeNode right;
public TreeNode(int x) {
this.value = x;
}
public int getValue() {
return value;
}
public void setValue(int value) {
this.value = value;
}
public TreeNode getLeft() {
return left;
}
public void setLeft(TreeNode left) {
this.left = left;
}
public TreeNode getRight() {
return right;
}
public void setRight(TreeNode right) {
this.right = right;
}
}
public TreeNode solution(int[] preorder, int[] inorder) {
//根据前序遍历和中序组建一颗树
//探索类，考虑递归
return backTrack(preorder, 0, inorder, 0, inorder.length - 1);
}
public TreeNode backTrack(int[] preorder, int preLeft, int[] inorder, int inLeft, int inRight) {
if(preLeft > preorder.length - 1 || inLeft > inRight) {
return null;
}
//如果没有，我们可以吧当前树的前序遍历第一个当成根
TreeNode curRoot = new TreeNode(preorder[preLeft]);
int midIndex = 0;
//然后我们去中序寻找中间点
for(int i = inLeft; i <= inRight; ++i) {
if(preorder[preLeft] == inorder[i]) {
//找到位置
midIndex = i;
}
}
//中分两边中序
//左子树
curRoot.setLeft(backTrack(preorder, preLeft + 1, inorder, inLeft, midIndex - 1));
curRoot.setRight(backTrack(preorder, preLeft + midIndex + 1 - inLeft, inorder, midIndex + 1, inRight));
return curRoot;
}
public static void main(String[] args) {
int preorder1[] = {3,9,20,15,7};
int inorder1[] = {9,3,15,20,7};
BuildTree fuc = new BuildTree();
fuc.solution(preorder1, inorder1);
System.out.println();
}
}
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