InternBootcamp/internbootcamp/bootcamp/faupontrouge/faupontrouge.py
2025-05-23 15:27:15 +08:00

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"""#
### 谜题描述
VK just opened its second HQ in St. Petersburg! Side of its office building has a huge string s written on its side. This part of the office is supposed to be split into m meeting rooms in such way that meeting room walls are strictly between letters on the building. Obviously, meeting rooms should not be of size 0, but can be as small as one letter wide. Each meeting room will be named after the substring of s written on its side.
<image>
For each possible arrangement of m meeting rooms we ordered a test meeting room label for the meeting room with lexicographically minimal name. When delivered, those labels got sorted backward lexicographically.
What is printed on kth label of the delivery?
Input
In the first line, you are given three integer numbers n, m, k — length of string s, number of planned meeting rooms to split s into and number of the interesting label (2 ≤ n ≤ 1 000; 1 ≤ m ≤ 1 000; 1 ≤ k ≤ 10^{18}).
Second input line has string s, consisting of n lowercase english letters.
For given n, m, k there are at least k ways to split s into m substrings.
Output
Output single string name of meeting room printed on k-th label of the delivery.
Examples
Input
4 2 1
abac
Output
aba
Input
19 5 1821
aupontrougevkoffice
Output
au
Note
In the first example, delivery consists of the labels \"aba\", \"ab\", \"a\".
In the second example, delivery consists of 3060 labels. The first label is \"aupontrougevkof\" and the last one is \"a\".
Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution.
```python
#include <bits/stdc++.h>
using namespace std;
using ll = long long;
using ull = unsigned long long;
constexpr int MOD = 1000 * 1000 * 1000 + 7;
constexpr int ALPHABET_SIZE = 26;
constexpr ll INF = 1e18;
bool check(const string& s, ll k, vector<vector<ll>>& dp, vector<int>& cont,
const string& cand, int m) {
int n = s.length(), l = cand.length();
if (n < l) {
return false;
}
for (int i = 0; i < n; ++i) {
int pos = i;
while (pos < n && pos - i < l && s[pos] == cand[pos - i]) {
++pos;
}
if ((pos < n && pos - i < l && s[pos] < cand[pos - i]) ||
(pos == n && pos - i < l)) {
cont[i] = -1;
} else if (pos == n || pos - i == l) {
cont[i] = pos;
} else {
cont[i] = pos + 1;
}
}
for (int i = 0; i < n; ++i) {
dp[i].assign(m, 0);
}
if (cont[0] != -1) {
dp[cont[0] - 1][0] = 1;
}
for (int i = 0; i < n - 1; ++i) {
for (int j = 0; j < m; ++j) {
dp[i + 1][j] = min(k, dp[i][j] + dp[i + 1][j]);
}
if (cont[i + 1] == -1) {
continue;
}
for (int j = 0; j + 1 < m; ++j) {
dp[cont[i + 1] - 1][j + 1] =
min(k, dp[cont[i + 1] - 1][j + 1] + dp[i][j]);
}
}
return dp[n - 1][m - 1] > 0 && dp[n - 1][m - 1] >= k;
}
struct TreeNode {
int have = 0;
int interm = 0;
array<int, ALPHABET_SIZE> nxt{};
};
string find_in_trie(const vector<TreeNode>& trie, int ind) {
string ans;
int have = 0;
int cur = 0;
while (cur != -1) {
if (have + trie[cur].interm > ind) {
return ans;
}
have += trie[cur].interm;
for (int i = 0; i < ALPHABET_SIZE; ++i) {
int nxt = trie[cur].nxt[i];
if (nxt == -1) {
continue;
}
if (have + trie[nxt].have > ind) {
ans.push_back('a' + i);
cur = nxt;
break;
} else {
have += trie[nxt].have;
}
}
}
return ans;
}
int main() {
ios_base::sync_with_stdio(false);
int n, m;
ll k;
cin >> n >> m >> k;
string s;
cin >> s;
vector<vector<ll>> dp(n, vector<ll>(m));
vector<int> cont(n);
vector<TreeNode> nodes;
nodes.emplace_back();
nodes.back().nxt.fill(-1);
for (int i = 0; i < n; ++i) {
int cur = 0;
nodes[0].have += n - i;
for (int j = i; j < n; ++j) {
if (nodes[cur].nxt[s[j] - 'a'] == -1) {
nodes[cur].nxt[s[j] - 'a'] = nodes.size();
nodes.emplace_back();
nodes.back().nxt.fill(-1);
}
cur = nodes[cur].nxt[s[j] - 'a'];
nodes[cur].have += n - j;
++nodes[cur].interm;
}
}
int st = 0, e = (n * n + n) / 2;
while (e - st > 1) {
int mid = (st + e) / 2;
string cand = find_in_trie(nodes, mid);
if (check(s, k, dp, cont, cand, m)) {
st = mid;
} else {
e = mid;
}
}
cout << find_in_trie(nodes, st) << \"\n\";
return 0;
}
```
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
from bootcamp import Basebootcamp
import re
import math
from itertools import combinations
class Faupontrougebootcamp(Basebootcamp):
class TreeNode:
def __init__(self):
self.have = 0
self.interm = 0
self.nxt = [-1] * 26 # For each lowercase letter a-z
def __init__(self, **params):
# Default parameters with dynamic generation capability
self.n = params.get('n', 4)
self.m = params.get('m', 2)
self.k = params.get('k', 1)
self.s = params.get('s', 'abac')
# Ensure parameters are valid
self.n = len(self.s)
if not 1 <= self.m <= self.n:
raise ValueError("m must be between 1 and string length")
max_k = math.comb(self.n-1, self.m-1)
if self.k > max_k:
raise ValueError(f"k exceeds maximum possible value {max_k}")
def case_generator(self):
"""Generate a valid puzzle case ensuring adequate combinations"""
# Generate random case parameters with constraints
import random
import string
# Random string length between 4-8 for manageability
n = random.randint(4, 8)
s = ''.join(random.choices(string.ascii_lowercase, k=n))
# Ensure m is at least 1 and less than n
m = random.randint(1, min(3, n-1))
# Calculate maximum possible k
max_k = math.comb(n-1, m-1)
k = random.randint(1, max(1, max_k//2)) # Use conservative k
return {
'n': n,
'm': m,
'k': k,
's': s
}
@staticmethod
def prompt_func(question_case) -> str:
params = question_case
return f"""VK's building has string '{params['s']}' (length {params['n']}). Split it into {params['m']} rooms. For each split, take the lex-smallest substring. Sort these minimal substrings in reverse lex order. What's the {params['k']}-th element?
Output must be wrapped in [answer] and [/answer] tags. Example: [answer]abc[/answer]"""
@staticmethod
def extract_output(output):
matches = re.findall(r'\[answer\](.*?)\[/answer\]', output, re.DOTALL)
return matches[-1].strip() if matches else None
@classmethod
def _verify_correction(cls, solution, identity):
try:
# Reimplement C++ logic for validation
s = identity['s']
m = identity['m']
k = identity['k']
n = len(s)
# Build trie structure
nodes = [cls.TreeNode()]
for i in range(n):
cur = 0
nodes[cur].have += (n - i)
for j in range(i, n):
c = ord(s[j]) - ord('a')
if nodes[cur].nxt[c] == -1:
nodes.append(cls.TreeNode())
nodes[cur].nxt[c] = len(nodes) - 1
nodes[-1].nxt = [-1]*26
cur = nodes[cur].nxt[c]
nodes[cur].have += (n - j)
nodes[cur].interm += 1
# Binary search with DP verification
left, right = 0, (n * (n + 1)) // 2
answer = ""
while left < right:
mid = (left + right + 1) // 2
candidate = cls.find_in_trie(nodes, mid)
if cls.check_valid(s, k, candidate, m):
left = mid
answer = candidate
else:
right = mid - 1
return solution == answer
except:
return False
@classmethod
def find_in_trie(cls, nodes, idx):
result = []
cur = 0
have = 0
while True:
have += nodes[cur].interm
if have > idx:
return ''.join(result)
found = False
for i in range(26):
next_node = nodes[cur].nxt[i]
if next_node == -1:
continue
if have + nodes[next_node].have > idx:
result.append(chr(ord('a') + i))
cur = next_node
found = True
break
else:
have += nodes[next_node].have
if not found:
break
return ''.join(result)
@classmethod
def check_valid(cls, s, k, candidate, m):
n = len(s)
l = len(candidate)
cont = [-1] * n
# Precompute continuation points
for i in range(n):
pos = i
while pos < n and pos - i < l and s[pos] == candidate[pos - i]:
pos += 1
if pos < n and pos - i < l and s[pos] < candidate[pos - i]:
cont[i] = -1
elif pos == n or pos - i == l:
cont[i] = pos
else:
cont[i] = pos + 1 if pos < n else -1
# DP table initialization
dp = [[0]*m for _ in range(n)]
if cont[0] != -1 and cont[0] <= n:
end = cont[0] - 1
if end < n:
dp[end][0] = 1
for i in range(n-1):
for j in range(m):
dp[i+1][j] = min(k, dp[i+1][j] + dp[i][j])
if cont[i+1] == -1:
continue
for j in range(m-1):
if dp[i][j] == 0:
continue
next_pos = cont[i+1] - 1
if next_pos >= n or j+1 >= m:
continue
dp[next_pos][j+1] = min(k, dp[next_pos][j+1] + dp[i][j])
return dp[n-1][m-1] >= k