Files
hello-algo/en/codes/python/chapter_heap/heap.py
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

72 lines
2.1 KiB
Python

"""
File: heap.py
Created Time: 2023-02-23
Author: krahets (krahets@163.com)
"""
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent))
from modules import print_heap
import heapq
def test_push(heap: list, val: int, flag: int = 1):
heapq.heappush(heap, flag * val) # Push an element onto the heap
print(f"\nAfter pushing element {val} onto the heap:")
print_heap([flag * val for val in heap])
def test_pop(heap: list, flag: int = 1):
val = flag * heapq.heappop(heap) # Pop the top element from the heap
print(f"\nAfter popping top element {val} from the heap:")
print_heap([flag * val for val in heap])
"""Driver code"""
if __name__ == "__main__":
# Initialize a min heap
min_heap, flag = [], 1
# Initialize a max heap
max_heap, flag = [], -1
print("\nThe following example uses a max heap")
# Python's heapq module implements a min heap by default
# Negate each element before pushing it onto the heap to reverse the ordering and implement a max heap
# In this example, flag = 1 represents a min heap and flag = -1 represents a max heap
# Push an element onto the heap
test_push(max_heap, 1, flag)
test_push(max_heap, 3, flag)
test_push(max_heap, 2, flag)
test_push(max_heap, 5, flag)
test_push(max_heap, 4, flag)
# Get the top element of the heap
peek: int = flag * max_heap[0]
print(f"\nTop element of the heap: {peek}")
# Pop the top element from the heap
test_pop(max_heap, flag)
test_pop(max_heap, flag)
test_pop(max_heap, flag)
test_pop(max_heap, flag)
test_pop(max_heap, flag)
# Get the heap size
size: int = len(max_heap)
print(f"\nNumber of elements in the heap: {size}")
# Check whether the heap is empty
is_empty: bool = not max_heap
print(f"\nIs the heap empty: {is_empty}")
# Build a heap from an input list
# The time complexity is O(n), not O(nlogn)
min_heap = [1, 3, 2, 5, 4]
heapq.heapify(min_heap)
print("\nAfter building a min heap from the input list:")
print_heap(min_heap)