> For the complete documentation index, see [llms.txt](https://fantasy-jxf.gitbook.io/artificial-intelligence/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://fantasy-jxf.gitbook.io/artificial-intelligence/interview/bi-shi-sou-hu-chang-you-180915.md).

# 搜狐畅游

* 考试题型：
  * 基础能力-单选题 10 道，
  * 基础能力-资料分析题一 5 道，
  * 基础能力-资料分析题二 5 道，
  * 专业能力-单选题 10 道，
  * 专业能力-多选题 5 道，
  * 专业能力-填空题 5 道，
  * 专业能力-问答题 2 道，
  * 专业能力-编程题 2 道

## Index

* [分玩具](https://fantasy-jxf.gitbook.io/artificial-intelligence/interview/pages/-L_GZbFgensq2pWBhdqG#分玩具)
* [多少个狗](https://fantasy-jxf.gitbook.io/artificial-intelligence/interview/pages/-L_GZbFgensq2pWBhdqG#多少个狗)

## 分玩具

**低保**（16.67%）

```python
m = int(input())
n = list(map(int, input().split()))

n_sum = sum(n)
n_len = len(n)
n_avg = n_sum // n_len

if n_sum / n_len != n_avg:
    print(-1)
```

**暴力**（83.33%）

```python
m = int(input())
n = list(map(int, input().split()))

n_sum = sum(n)
n_len = len(n)
n_avg = n_sum // n_len

if n_sum / n_len != n_avg:
    print(-1)

ret = 0
for i in n:
    if i > n_avg:
        ret += i - n_avg

print(ret // 2)
```

**Python**（AC）

```python
m = int(input())
n = list(map(int, input().split()))

def foo(n):
    n_sum = sum(n)
    n_len = len(n)
    n_avg = n_sum // n_len

    if n_sum / n_len != n_avg:
        return -1

    odd = 0
    eve = 0
    for i in n:
        if i % 2 == 1:
            odd = 1  # 存在奇数
        if i % 2 == 0:
            eve = 1  # 存在偶数

    if n_avg % 2 == 1 and eve:
        return -1
    if n_avg % 2 == 0 and odd:
        return -1

    ret = 0
    for i in n:
        if i > n_avg:
            ret += i - n_avg

    return ret // 2

print(foo(n))
```

## 多少个狗

**思路**

* 斐波那契数列

**Python**（AC）

```python
n = int(input())

dp = [1, 1]

for i in range(2, n):
    dp.append(dp[i-1] + dp[i-2])

print(dp[n-1])
```


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