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docs: add Japanese translate documents (#1812)
* docs: add Japanese documents (`ja/docs`) * docs: add Japanese documents (`ja/codes`) * docs: add Japanese documents * Remove pythontutor blocks in ja/ * Add an empty at the end of each markdown file. * Add the missing figures (use the English version temporarily). * Add index.md for Japanese version. * Add index.html for Japanese version. * Add missing index.assets * Fix backtracking_algorithm.md for Japanese version. * Add avatar_eltociear.jpg. Fix image links on the Japanese landing page. * Add the Japanese banner. --------- Co-authored-by: krahets <krahets@163.com>
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ja/codes/java/chapter_heap/heap.java
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66
ja/codes/java/chapter_heap/heap.java
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/**
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* File: heap.java
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* Created Time: 2023-01-07
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* Author: krahets (krahets@163.com)
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*/
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package chapter_heap;
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import utils.*;
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import java.util.*;
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public class heap {
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public static void testPush(Queue<Integer> heap, int val) {
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heap.offer(val); // 要素をヒープにプッシュ
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System.out.format("\n要素 %d をヒープに追加後\n", val);
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PrintUtil.printHeap(heap);
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}
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public static void testPop(Queue<Integer> heap) {
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int val = heap.poll(); // ヒープの先頭要素をポップ
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System.out.format("\n先頭要素 %d をヒープから削除後\n", val);
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PrintUtil.printHeap(heap);
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}
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public static void main(String[] args) {
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/* ヒープを初期化 */
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// 最小ヒープを初期化
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Queue<Integer> minHeap = new PriorityQueue<>();
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// 最大ヒープを初期化(必要に応じてラムダ式を使用してComparatorを変更)
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Queue<Integer> maxHeap = new PriorityQueue<>((a, b) -> b - a);
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System.out.println("\n以下のテストケースは最大ヒープ用です");
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/* 要素をヒープにプッシュ */
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testPush(maxHeap, 1);
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testPush(maxHeap, 3);
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testPush(maxHeap, 2);
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testPush(maxHeap, 5);
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testPush(maxHeap, 4);
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/* ヒープの先頭要素にアクセス */
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int peek = maxHeap.peek();
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System.out.format("\nヒープの先頭要素は %d\n", peek);
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/* ヒープの先頭要素をポップ */
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testPop(maxHeap);
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testPop(maxHeap);
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testPop(maxHeap);
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testPop(maxHeap);
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testPop(maxHeap);
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/* ヒープのサイズを取得 */
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int size = maxHeap.size();
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System.out.format("\nヒープ内の要素数は %d\n", size);
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/* ヒープが空かどうかを判定 */
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boolean isEmpty = maxHeap.isEmpty();
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System.out.format("\nヒープは空ですか %b\n", isEmpty);
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/* リストを入力してヒープを構築 */
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// 時間計算量は O(n)、O(nlogn) ではない
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minHeap = new PriorityQueue<>(Arrays.asList(1, 3, 2, 5, 4));
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System.out.println("\nリストを入力して最小ヒープを構築");
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PrintUtil.printHeap(minHeap);
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}
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}
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