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Add typing annotations to Python codes. (#411)
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@@ -4,16 +4,18 @@ Created Time: 2023-02-23
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Author: Krahets (krahets@163.com)
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"""
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import sys, os.path as osp
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import sys
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import os.path as osp
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from modules import *
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def test_push(heap, val, flag=1):
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def test_push(heap: List, val: int, flag: int = 1) -> None:
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heapq.heappush(heap, flag * val) # 元素入堆
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print(f"\n元素 {val} 入堆后")
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print_heap([flag * val for val in heap])
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def test_pop(heap, flag=1):
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def test_pop(heap: List, flag: int = 1) -> None:
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val = flag * heapq.heappop(heap) # 堆顶元素出堆
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print(f"\n堆顶元素 {val} 出堆后")
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print_heap([flag * val for val in heap])
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@@ -37,7 +39,7 @@ if __name__ == "__main__":
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test_push(max_heap, 4, flag)
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""" 获取堆顶元素 """
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peek = flag * max_heap[0]
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peek: int = flag * max_heap[0]
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print(f"\n堆顶元素为 {peek}")
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""" 堆顶元素出堆 """
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@@ -48,16 +50,16 @@ if __name__ == "__main__":
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test_pop(max_heap, flag)
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""" 获取堆大小 """
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size = len(max_heap)
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size: int = len(max_heap)
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print(f"\n堆元素数量为 {size}")
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""" 判断堆是否为空 """
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is_empty = not max_heap
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is_empty: bool = not max_heap
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print(f"\n堆是否为空 {is_empty}")
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""" 输入列表并建堆 """
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# 时间复杂度为 O(n) ,而非 O(nlogn)
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min_heap = [1, 3, 2, 5, 4]
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min_heap: List[int] = [1, 3, 2, 5, 4]
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heapq.heapify(min_heap)
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print("\n输入列表并建立小顶堆后")
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print_heap(min_heap)
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