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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/python/chapter_heap/heap.py
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71
ja/codes/python/chapter_heap/heap.py
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"""
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File: heap.py
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Created Time: 2023-02-23
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Author: krahets (krahets@163.com)
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"""
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import sys
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from pathlib import Path
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sys.path.append(str(Path(__file__).parent.parent))
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from modules import print_heap
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import heapq
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def test_push(heap: list, val: int, flag: int = 1):
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heapq.heappush(heap, flag * val) # ヒープに要素をプッシュ
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print(f"\n要素 {val} をヒープにプッシュ後")
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print_heap([flag * val for val in heap])
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def test_pop(heap: list, flag: int = 1):
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val = flag * heapq.heappop(heap) # ヒープの先頭要素をポップ
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print(f"\nヒープの先頭要素 {val} がヒープから出た後")
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print_heap([flag * val for val in heap])
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"""ドライバコード"""
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if __name__ == "__main__":
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# 最小ヒープを初期化
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min_heap, flag = [], 1
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# 最大ヒープを初期化
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max_heap, flag = [], -1
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print("\n以下のテストケースは最大ヒープ用です")
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# PythonのheapqモジュールはデフォルトでMinHeapを実装
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# ヒープに入れる前に「要素を反転」することを考慮し、比較演算子を逆転させて最大ヒープを実装
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# この例では、flag = 1は最小ヒープに対応し、flag = -1は最大ヒープに対応
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# ヒープに要素をプッシュ
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test_push(max_heap, 1, flag)
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test_push(max_heap, 3, flag)
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test_push(max_heap, 2, flag)
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test_push(max_heap, 5, flag)
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test_push(max_heap, 4, flag)
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# ヒープの先頭要素にアクセス
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peek: int = flag * max_heap[0]
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print(f"\nヒープの先頭要素は {peek}")
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# ヒープの先頭要素をポップ
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test_pop(max_heap, flag)
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test_pop(max_heap, flag)
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test_pop(max_heap, flag)
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test_pop(max_heap, flag)
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test_pop(max_heap, flag)
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# ヒープのサイズを取得
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size: int = len(max_heap)
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print(f"\nヒープの要素数は {size}")
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# ヒープが空かどうかを判定
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is_empty: bool = not max_heap
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print(f"\nヒープは空ですか {is_empty}")
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# リストを入力してヒープを構築
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# 時間複雑度はO(n)、O(nlogn)ではない
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min_heap = [1, 3, 2, 5, 4]
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heapq.heapify(min_heap)
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print("\nリストを入力して最小ヒープを構築")
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print_heap(min_heap)
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