按最低价格过滤多维数组

def find_min_price(arr):
    min_price = float('inf')
    min_item = None
    
    for item in arr:
        if isinstance(item, list):
            sub_min_price, sub_min_item = find_min_price(item)
            if sub_min_price < min_price:
                min_price = sub_min_value
                min_item = sub_min_item
        else:
            if item['price'] < min_price:
                min_price = item['price']
                min_item = item
    
    return min_price, min_item

# 示例多维数组
data = [
    {'name': 'item1', 'price': 10},
    {'name': 'item2', 'price': 20},
    [
        {'name': 'item3', 'price': 5},
        {'name': 'item4', 'price': 15}
    ]
]

min_price, min_item = find_min_price(data)
print(f"最低价格: {min_price}, 商品: {min_item['name']}")

import sys
sys.setrecursionlimit(10000)  # 设置更高的递归深度限制