原始题目

Assume you are an awesome parent and want to give your children some cookies. But, you should give each child at most one cookie.

Each child i has a greed factor g[i], which is the minimum size of a cookie that the child will be content with; and each cookie j has a size s[j].
If s[j] >= g[i], we can assign the cookie j to the child i, and the child i will be content.
Your goal is to maximize the number of your content children and output the maximum number.

Example 1:

Input: g = [1,2,3], s = [1,1]
Output: 1
Explanation: You have 3 children and 2 cookies. The greed factors of 3 children are 1, 2, 3.
And even though you have 2 cookies, since their size is both 1, you could only make the child whose greed factor is 1 content.
You need to output 1.

Example 2:

Input: g = [1,2], s = [1,2,3]
Output: 2
Explanation: You have 2 children and 3 cookies. The greed factors of 2 children are 1, 2.
You have 3 cookies and their sizes are big enough to gratify all of the children,
You need to output 2.

Constraints:

• 1 <= g.length <= 3 * 104
• 0 <= s.length <= 3 * 104
• 1 <= g[i], s[j] <= 231 - 1

题目分析

有一串小孩的胃口，和另一串饼乾数量。要满足最多小孩的胃口

解题过程

看到这种满足ＯＯ、让最多ＸＸ怎样怎样的题目，直觉就是使用贪婪演算法

1. 排序胃口跟饼乾
2. 饼乾从最小到最大，依序喂饱小孩
3. 喂饱後计数器 +1
4. 如果饼乾无法满足指定的小孩，则跳出回圈
5. 回传可满足的小孩数量

class Solution:
    def findContentChildren(self, g: List[int], s: List[int]) -> int:
        g.sort()
        s.sort()

        # 可以喂饱的小孩数量
        res = 0
        
        # 遍历所有饼乾
        for i in range(len(s)):
            # 如果可喂饱的数量小於小孩总数，且饼乾大小大於下一个小孩的胃口。则喂饱数量 +1
            if res < len(g) and s[i] >= g[res]:
                res += 1
            else:
                break
        return res

结果