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"""#
### 谜题描述
Mr. Funt now lives in a country with a very specific tax laws. The total income of mr. Funt during this year is equal to n (n 2) burles and the amount of tax he has to pay is calculated as the maximum divisor of n (not equal to n, of course). For example, if n = 6 then Funt has to pay 3 burles, while for n = 25 he needs to pay 5 and if n = 2 he pays only 1 burle.
As mr. Funt is a very opportunistic person he wants to cheat a bit. In particular, he wants to split the initial n in several parts n1 + n2 + ... + nk = n (here k is arbitrary, even k = 1 is allowed) and pay the taxes for each part separately. He can't make some part equal to 1 because it will reveal him. So, the condition ni ≥ 2 should hold for all i from 1 to k.
Ostap Bender wonders, how many money Funt has to pay (i.e. minimal) if he chooses and optimal way to split n in parts.
Input
The first line of the input contains a single integer n (2 n 2·109) the total year income of mr. Funt.
Output
Print one integer minimum possible number of burles that mr. Funt has to pay as a tax.
Examples
Input
4
Output
2
Input
27
Output
3
Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution.
```python
n = int(raw_input())
def prime(n):
if n<=3:
return True
for i in range(2,int(n**(0.5))+1):
if n%i==0:
return False
return True
if prime(n):
print 1
elif n % 2 == 0:
print 2
elif prime(n-2):
print 2
else:
print 3
```
请完成上述谜题的训练场环境类实现包括所有必要的方法
"""
from bootcamp import Basebootcamp
import random
import re
from bootcamp import Basebootcamp
class Btaxesbootcamp(Basebootcamp):
def __init__(self, n_min=2, n_max=10**9):
"""
参数校验优化支持更大范围的n值生成
"""
if n_min < 2:
raise ValueError("n_min must be ≥2")
if n_max < n_min:
raise ValueError("n_max must be ≥n_min")
self.n_min = n_min
self.n_max = n_max
def case_generator(self):
"""主动构造四类典型案例,保证覆盖率"""
def is_prime(m):
if m <= 1:
return False
if m <=3:
return True
if m % 2 ==0 or m %3 ==0:
return False
i = 5
w = 2
while i*i <= m:
if m%i ==0:
return False
i += w
w = 6 - w
return True
# 主动生成四类案例的平衡策略
case_type = random.choice([
'prime', # 质数案例
'even_composite',# 偶合数
'odd_case2', # 奇合数(n-2是质数)
'odd_case3' # 奇合数(n-2是合数)
])
max_attempts = 1000
for _ in range(max_attempts):
# 动态调整生成策略
if case_type == 'prime':
# 生成随机质数
n = random.randint(max(2, self.n_min), self.n_max)
if is_prime(n):
return {'n': n, 'correct_answer': 1}
elif case_type == 'even_composite':
# 生成至少有两个质因子的偶数
n = 2 * random.randint(2, self.n_max//2)
if n >= 2 and not is_prime(n):
return {'n': n, 'correct_answer': 2}
elif case_type == 'odd_case2':
# 生成奇合数并满足n-2是质数
base_prime = random.choice([3,5,7,11,13,17,19,23,29,31])
n = base_prime + 2
if n % 2 == 1 and not is_prime(n) and is_prime(base_prime):
return {'n': n, 'correct_answer': 2}
# 动态生成
candidate = random.randint(max(3, self.n_min), self.n_max)
if candidate%2 ==1 and not is_prime(candidate) and is_prime(candidate-2):
return {'n': candidate, 'correct_answer': 2}
elif case_type == 'odd_case3':
# 确保生成正确结果为3的案例
candidates = [27, 35, 45, 49, 55, 81, 875, 12345]
for n in candidates:
if self.n_min <= n <= self.n_max:
if not is_prime(n) and n%2 ==1 and not is_prime(n-2):
return {'n': n, 'correct_answer': 3}
# 动态生成
candidate = random.randint(max(9, self.n_min), self.n_max)
if candidate%2 ==1 and not is_prime(candidate) and not is_prime(candidate-2):
return {'n': candidate, 'correct_answer': 3}
# Fallback机制确保至少返回有效案例
return {'n': 4, 'correct_answer': 2}
@staticmethod
def prompt_func(question_case) -> str:
n = question_case['n']
return f"""根据俄罗斯税法规定Funt先生的年收入为{n} burles需要通过分割收入来最小化税款。规则如下
1. 将总金额分割为k个整数k1每个部分2
2. 每个部分的税款为其最大真因子即除自身外的最大约数
3. 最终税款为各部分税款之和
请计算最小可能的税款金额并将最终答案置于[answer]标签内[answer]5[/answer]"""
@staticmethod
def extract_output(output):
matches = re.findall(r'\[answer\](.*?)\[/answer\]', output, re.IGNORECASE)
if matches:
try:
return int(matches[-1].strip())
except (ValueError, TypeError):
return None
return None
@classmethod
def _verify_correction(cls, solution, identity):
return solution == identity.get('correct_answer')