A. Pupils Redistribution -Codeforces Round #402 (Div. 2)

本文介绍了一种算法,用于解决两个班级的学生学术表现均衡化问题。通过一系列学生交换操作,使得两个班级中各学术表现等级的学生人数相等。文章详细解释了算法的工作原理,并提供了一个实现该算法的C语言程序示例。

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A. Pupils Redistribution time limit per test1 second memory limit per
test256 megabytes inputstandard input outputstandard output In Berland
each high school student is characterized by academic performance —
integer value between 1 and 5.

In high school 0xFF there are two groups of pupils: the group A and the group B. Each group consists of exactly n students. An academic performance of each student is known — integer value between 1 and 5.

The school director wants to redistribute students between groups so that each of the two groups has the same number of students whose academic performance is equal to 1, the same number of students whose academic performance is 2 and so on. In other words, the purpose of the school director is to change the composition of groups, so that for each value of academic performance the numbers of students in both groups are equal.

To achieve this, there is a plan to produce a series of exchanges of students between groups. During the single exchange the director selects one student from the class A and one student of class B. After that, they both change their groups.

Print the least number of exchanges, in order to achieve the desired equal numbers of students for each academic performance.

Input
The first line of the input contains integer number n (1 ≤ n ≤ 100) — number of students in both groups.

The second line contains sequence of integer numbers a1, a2, …, an (1 ≤ ai ≤ 5), where ai is academic performance of the i-th student of the group A.

The third line contains sequence of integer numbers b1, b2, …, bn (1 ≤ bi ≤ 5), where bi is academic performance of the i-th student of the group B.

Output
Print the required minimum number of exchanges or -1, if the desired distribution of students can not be obtained.

Examples
input
4
5 4 4 4
5 5 4 5
output
1
input
6
1 1 1 1 1 1
5 5 5 5 5 5
output
3
input
1
5
3
output
-1
input
9
3 2 5 5 2 3 3 3 2
4 1 4 1 1 2 4 4 1
output
4

#include<stdio.h>
int a[6],b[6],c[6];

int abs(int x){return x<0?-x:x;}
int main()
{
    int n;
    int g;
    scanf("%d",&n);
    for(int i=0;i<n;i++){
        scanf("%d",&g);
        a[g]++;
    }
    for(int i=0;i<n;i++){
        scanf("%d",&g);
        b[g]++;
    }
    bool flag=true;
    for(int i=1;i<=5;i++){
        c[i]=a[i]+b[i];
        if(c[i]%2!=0){
            flag=false;
            break;
        }
        c[i]/=2;
    }
    if(flag){
        int ans=0;
        for(int i=1;i<=5;i++){
            ans+=abs(c[i]-a[i])+abs(c[i]-b[i]);
        }
        ans/=4;
        printf("%d\n",ans);
    }else puts("-1");
    return 0;
}
### 宫崎骏风格的蘑菇生物艺术描述 为了生成一个基于宫崎骏风格的蘑菇生物,可以结合以下关键词来构建提示词(prompt)。这些关键词涵盖了透明菌盖、发光静脉、竹节状茎干、生物荧光菌丝体、星形瞳孔、古树根系、漂浮水母孢子、体积感神光以及水彩纹理等元素。 以下是完整的提示词: ```plaintext (ghibli style), (mushroom creature:1.5), translucent cap, glowing veins, bamboo-jointed stem, bioluminescent mycelium, star-shaped pupils, ancient tree roots intertwined, floating jellyfish-like spores, volumetric god rays illuminating the forest floor, soft watercolor texture blending into the background, wind-blown deformation creating dynamic movement, magical atmosphere, whimsical and enchanting environment, lush greenery surrounding the character, ethereal lighting enhancing the mystical ambiance, detailed yet painterly rendering, vibrant colors with subtle gradients, fantasy world inspired by nature&#39;s beauty, peaceful coexistence between flora and fauna. ``` #### 参数建议 对于 **Midjourney** 或 **Stable Diffusion** 的具体设置如下: - **Steps**: 60-70 - **Sampler**: Euler a 或 DDIM - **CFG Scale**: 7-8 - **Seed**: 可选随机种子或固定值以便重复实验 - **Size**: 推荐高分辨率如 1024x512 或更大尺寸以捕捉细节 --- ### 技术实现说明 通过调整 w 向量的不同维度,能够控制生成角色的具体特征[^2]。例如,在此场景下可以通过调节特定维度使蘑菇生物的表情更加生动或者赋予其独特的形态变化。此外,利用扩散模型的核心机制——逐步去噪过程,可以从简单的噪声分布逐渐演化出复杂的视觉效果[^3]。 为了达到更接近目标的效果,还可以引入一些负向提示(Negative Prompt),排除不需要的内容,比如过于写实的照片质感或其他干扰因素。这有助于强化整体的艺术氛围并突出主题特色[^4]。 --- ### 示例代码片段 如果你希望进一步优化生成质量,可以在脚本中加入自定义采样器配置。下面是一个 Python 脚本示例用于调用 Stable Diffusion API 并传递上述参数: ```python from diffusers import StableDiffusionPipeline import torch model_id = "dreamshaper_5BakedVae" pipe = StableDiffusionPipeline.from_pretrained(model_id).to("cuda") prompt = "(ghibli style), (mushroom creature:1.5), translucent cap..." negative_prompt = "easynegative" image = pipe( prompt=prompt, negative_prompt=negative_prompt, num_inference_steps=65, guidance_scale=7, seed=3472141699, width=1024, height=512 ).images[0] image.save("mushroom_creature.png") ``` --- ### 注意事项 确保所使用的模型支持指定样式(如 ghibli style)以及其他高级选项。如果发现某些特性未能充分体现,则可能需要微调超参或将更多相关词汇融入正向提示语句之中[^1]。 ---
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