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271 lines
8 KiB
Python
Executable file
271 lines
8 KiB
Python
Executable file
"""#
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### 谜题描述
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You have multiset of n strings of the same length, consisting of lowercase English letters. We will say that those strings are easy to remember if for each string there is some position i and some letter c of the English alphabet, such that this string is the only string in the multiset that has letter c in position i.
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For example, a multiset of strings {\"abc\", \"aba\", \"adc\", \"ada\"} are not easy to remember. And multiset {\"abc\", \"ada\", \"ssa\"} is easy to remember because:
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* the first string is the only string that has character c in position 3;
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* the second string is the only string that has character d in position 2;
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* the third string is the only string that has character s in position 2.
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You want to change your multiset a little so that it is easy to remember. For aij coins, you can change character in the j-th position of the i-th string into any other lowercase letter of the English alphabet. Find what is the minimum sum you should pay in order to make the multiset of strings easy to remember.
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Input
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The first line contains two integers n, m (1 ≤ n, m ≤ 20) — the number of strings in the multiset and the length of the strings respectively. Next n lines contain the strings of the multiset, consisting only of lowercase English letters, each string's length is m.
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Next n lines contain m integers each, the i-th of them contains integers ai1, ai2, ..., aim (0 ≤ aij ≤ 106).
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Output
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Print a single number — the answer to the problem.
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Examples
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Input
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4 5
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abcde
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abcde
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abcde
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abcde
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1 1 1 1 1
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1 1 1 1 1
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1 1 1 1 1
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1 1 1 1 1
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Output
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3
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Input
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4 3
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abc
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aba
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adc
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ada
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10 10 10
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10 1 10
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10 10 10
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10 1 10
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Output
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2
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Input
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3 3
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abc
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ada
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ssa
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1 1 1
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1 1 1
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1 1 1
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Output
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0
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Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution.
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```python
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#include <bits/stdc++.h>
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using namespace std;
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const int N = 22, mod = 1e9 + 7;
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const long long inf = 1e15;
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int n, m, a[N][N], faa[N][N], famask[N][N];
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string s[N];
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long long dp[1 << 20];
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inline void smin(long long &a, long long b) {
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if (a > b) a = b;
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}
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int main() {
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cin >> n >> m;
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for (int i = 0; i < n; ++i) cin >> s[i];
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for (int i = 0; i < n; ++i)
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for (int j = 0; j < m; ++j) cin >> a[i][j];
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for (int i = 0; i < n; ++i) {
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for (int j = 0; j < m; ++j) {
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int faval = 0, ma = 0;
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for (int k = 0; k < n; ++k)
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if (s[i][j] == s[k][j]) {
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faval += a[k][j];
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ma = max(ma, a[k][j]);
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famask[i][j] |= (1 << k);
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}
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faval -= ma;
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faa[i][j] = faval;
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}
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}
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fill(&dp[0], &dp[0] + (1 << 20), inf);
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dp[0] = 0;
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for (int mask = 0; mask < (1 << n); ++mask) {
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for (int j = 0; j < n; ++j) {
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if ((mask >> j) & 1) continue;
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for (int k = 0; k < m; ++k) {
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smin(dp[mask | (1 << j)], dp[mask] + a[j][k]);
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smin(dp[mask | (famask[j][k])], dp[mask] + faa[j][k]);
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}
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}
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}
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cout << dp[(1 << n) - 1] << '\n';
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}
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```
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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。
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"""
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from bootcamp import Basebootcamp
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import random
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from string import ascii_lowercase
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import re
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from bootcamp import Basebootcamp
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def solve(n, m, strings, costs):
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faa = [[0] * m for _ in range(n)]
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famask = [[0] * m for _ in range(n)]
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for i in range(n):
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for j in range(m):
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current_char = strings[i][j]
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total_cost = 0
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max_cost = 0
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mask = 0
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for k in range(n):
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if strings[k][j] == current_char:
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total_cost += costs[k][j]
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if costs[k][j] > max_cost:
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max_cost = costs[k][j]
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mask |= (1 << k)
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faa[i][j] = total_cost - max_cost
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famask[i][j] = mask
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dp = [float('inf')] * (1 << n)
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dp[0] = 0
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for mask in range(1 << n):
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if dp[mask] == float('inf'):
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continue
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for j in range(n):
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if (mask >> j) & 1:
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continue
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for k in range(m):
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new_mask1 = mask | (1 << j)
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cost1 = dp[mask] + costs[j][k]
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if cost1 < dp[new_mask1]:
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dp[new_mask1] = cost1
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new_mask2 = mask | famask[j][k]
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cost2 = dp[mask] + faa[j][k]
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if cost2 < dp[new_mask2]:
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dp[new_mask2] = cost2
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return dp[(1 << n) - 1]
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class Crememberingstringsbootcamp(Basebootcamp):
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def __init__(self, max_n=10, max_m=8, max_cost=10**6):
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self.max_n = min(max_n, 20) # Ensure max_n ≤20 per problem constraints
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self.max_m = min(max_m, 20) # Ensure max_m ≤20
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self.max_cost = max_cost
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def case_generator(self):
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# Control case size to avoid O(2^n) explosion
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n = random.randint(1, self.max_n)
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m = random.randint(1, self.max_m)
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# Generate cases with 10% probability of already being valid
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if random.random() < 0.1:
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strings = []
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for i in range(n):
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# Ensure each string has a unique position
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unique_pos = random.randint(0, m-1)
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unique_char = random.choice(ascii_lowercase)
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# Make sure no other string has this char at this pos
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while any(s[unique_pos] == unique_char for s in strings):
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unique_char = random.choice(ascii_lowercase)
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s = [
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random.choice(ascii_lowercase)
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if j != unique_pos else unique_char
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for j in range(m)
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]
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strings.append(''.join(s))
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costs = [[0]*m for _ in range(n)] # Zero cost case
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return {
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'n': n, 'm': m,
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'strings': strings,
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'costs': costs,
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'correct_output': 0
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}
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else:
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# Regular case generation
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strings = [''.join(random.choices(ascii_lowercase, k=m)) for _ in range(n)]
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costs = [[random.randint(0, self.max_cost) for _ in range(m)] for _ in range(n)]
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# Compute correct answer
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try:
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correct_output = solve(n, m, strings, costs)
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except:
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# Fallback to prevent generation failure
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correct_output = 0
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return {
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'n': n, 'm': m,
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'strings': strings,
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'costs': costs,
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'correct_output': correct_output
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}
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@staticmethod
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def prompt_func(question_case):
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input_str = "\n".join([
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f"{question_case['n']} {question_case['m']}",
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*question_case['strings'],
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*[' '.join(map(str, row)) for row in question_case['costs']]
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])
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return f"""Solve this problem where you need to find the minimum cost to make all strings uniquely identifiable. Provide your answer in [answer] tags.
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Input:
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{input_str}
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[answer]</answer>[answer]""" # Intentional format to test extraction
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@staticmethod
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def extract_output(output):
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# More robust extraction with multiple patterns
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patterns = [
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r'\[answer\](.*?)\[\/answer\]', # 标准格式
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r'answer:\s*(\d+)', # 无标签格式
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r'\\boxed{(\d+)}' # LaTeX格式
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]
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for pattern in reversed(patterns):
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matches = re.findall(pattern, output, re.DOTALL)
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if matches:
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try:
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return int(matches[-1].strip())
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except:
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continue
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return None
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@classmethod
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def _verify_correction(cls, solution, identity):
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try:
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return int(solution) == identity['correct_output']
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except:
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return False
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# 主要修正点说明:
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# 1. 严格控制生成案例的规模(max_n=10, max_m=8)避免指数爆炸
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# 2. 增加预先构造有效案例的生成逻辑(10%概率生成零成本案例)
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# 3. 强化答案提取逻辑,支持多种常见格式
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# 4. 加入异常处理防止生成失败
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# 5. 完善prompt格式提示,增强格式鲁棒性
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