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305
internbootcamp/bootcamp/cgreedyshopping/cgreedyshopping.py
Executable file
305
internbootcamp/bootcamp/cgreedyshopping/cgreedyshopping.py
Executable file
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"""#
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### 谜题描述
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You are given an array a_1, a_2, …, a_n of integers. This array is non-increasing.
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Let's consider a line with n shops. The shops are numbered with integers from 1 to n from left to right. The cost of a meal in the i-th shop is equal to a_i.
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You should process q queries of two types:
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* 1 x y: for each shop 1 ≤ i ≤ x set a_{i} = max(a_{i}, y).
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* 2 x y: let's consider a hungry man with y money. He visits the shops from x-th shop to n-th and if he can buy a meal in the current shop he buys one item of it. Find how many meals he will purchase. The man can buy a meal in the shop i if he has at least a_i money, and after it his money decreases by a_i.
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Input
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The first line contains two integers n, q (1 ≤ n, q ≤ 2 ⋅ 10^5).
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The second line contains n integers a_{1},a_{2}, …, a_{n} (1 ≤ a_{i} ≤ 10^9) — the costs of the meals. It is guaranteed, that a_1 ≥ a_2 ≥ … ≥ a_n.
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Each of the next q lines contains three integers t, x, y (1 ≤ t ≤ 2, 1≤ x ≤ n, 1 ≤ y ≤ 10^9), each describing the next query.
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It is guaranteed that there exists at least one query of type 2.
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Output
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For each query of type 2 output the answer on the new line.
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Example
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Input
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10 6
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10 10 10 6 6 5 5 5 3 1
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2 3 50
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2 4 10
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1 3 10
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2 2 36
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1 4 7
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2 2 17
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Output
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8
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3
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6
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2
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Note
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In the first query a hungry man will buy meals in all shops from 3 to 10.
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In the second query a hungry man will buy meals in shops 4, 9, and 10.
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After the third query the array a_1, a_2, …, a_n of costs won't change and will be \{10, 10, 10, 6, 6, 5, 5, 5, 3, 1\}.
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In the fourth query a hungry man will buy meals in shops 2, 3, 4, 5, 9, and 10.
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After the fifth query the array a of costs will be \{10, 10, 10, 7, 6, 5, 5, 5, 3, 1\}.
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In the sixth query a hungry man will buy meals in shops 2 and 4.
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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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template <class T>
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using vc = vector<T>;
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template <class T>
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using vvc = vc<vc<T>>;
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template <class T>
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void mkuni(vector<T> &v) {
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sort(v.begin(), v.end());
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v.erase(unique(v.begin(), v.end()), v.end());
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}
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long long rand_int(long long l, long long r) {
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static mt19937_64 gen(chrono::steady_clock::now().time_since_epoch().count());
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return uniform_int_distribution<long long>(l, r)(gen);
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}
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template <class T>
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void print(T x, int suc = 1) {
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cout << x;
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if (suc == 1)
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cout << '\n';
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else
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cout << ' ';
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}
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template <class T>
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void print(const vector<T> &v, int suc = 1) {
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for (int i = 0; i < v.size(); i++)
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print(v[i], i == (int)(v.size()) - 1 ? suc : 2);
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}
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const int N = 3e5 + 10;
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struct Tree {
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long long l, r, lazy, sum, mi, ma;
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} tree[N << 2];
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void push_up(int rt) {
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tree[rt].sum = tree[rt << 1].sum + tree[rt << 1 | 1].sum;
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tree[rt].ma = tree[rt << 1].ma;
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tree[rt].mi = tree[rt << 1 | 1].mi;
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}
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void build(int l, int r, int rt, vector<int> &a) {
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tree[rt].l = l, tree[rt].r = r, tree[rt].lazy = 0;
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if (l == r) {
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tree[rt].sum = tree[rt].mi = tree[rt].ma = a[l];
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return;
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}
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int mid = l + r >> 1;
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build(l, mid, rt << 1, a);
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build(mid + 1, r, rt << 1 | 1, a);
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push_up(rt);
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}
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void push_down(int rt) {
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if (tree[rt].lazy) {
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int x = tree[rt].lazy, l = tree[rt].l, r = tree[rt].r;
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tree[rt].lazy = 0;
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tree[rt << 1].sum = 1ll * (tree[rt << 1].r - tree[rt << 1].l + 1) * x;
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tree[rt << 1].mi = tree[rt << 1].ma = x;
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tree[rt << 1].lazy = x;
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tree[rt << 1 | 1].sum =
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1ll * (tree[rt << 1 | 1].r - tree[rt << 1 | 1].l + 1) * x;
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tree[rt << 1 | 1].mi = tree[rt << 1 | 1].ma = x;
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tree[rt << 1 | 1].lazy = x;
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}
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}
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void update_range(int L, int R, long long Y, int rt) {
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int l = tree[rt].l, r = tree[rt].r;
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if (tree[rt].mi >= Y || l > R) return;
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if (tree[rt].ma <= Y && r <= R) {
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tree[rt].sum = 1ll * (r - l + 1) * Y;
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tree[rt].mi = tree[rt].ma = Y;
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tree[rt].lazy = Y;
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return;
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}
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push_down(rt);
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update_range(L, R, Y, rt << 1);
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update_range(L, R, Y, rt << 1 | 1);
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push_up(rt);
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}
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int query_range(int L, int R, int rt, long long &Y) {
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int l = tree[rt].l, r = tree[rt].r;
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if (tree[rt].mi > Y || r < L) return 0;
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if (tree[rt].sum <= Y && l >= L) {
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Y -= tree[rt].sum;
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return r - l + 1;
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}
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push_down(rt);
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long long res = 0;
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res += query_range(L, R, rt << 1, Y);
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res += query_range(L, R, rt << 1 | 1, Y);
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return res;
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}
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int main() {
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ios::sync_with_stdio(false);
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cin.tie(nullptr);
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int n, q;
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cin >> n >> q;
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vector<int> a(n + 1);
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for (int i = 1; i <= n; ++i) cin >> a[i];
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build(1, n, 1, a);
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while (q--) {
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long long x, y, op;
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cin >> op >> x >> y;
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if (op == 1) {
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update_range(1, x, y, 1);
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} else
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cout << query_range(x, n, 1, y) << '\n';
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}
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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 re
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import random
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from itertools import accumulate
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from bootcamp import Basebootcamp
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class Cgreedyshoppingbootcamp(Basebootcamp):
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def __init__(self, **params):
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self.n = params.get('n', 10)
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self.q = params.get('q', 5)
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self.n = max(1, self.n) # 确保最小为1
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self.q = max(1, self.q) # 确保至少一个查询
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def case_generator(self):
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# 生成非递增数组(优化版)
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a = [random.randint(1, 10**9)]
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for _ in range(1, self.n):
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a.append(random.randint(1, a[-1]))
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# 生成查询列表并确保类型2存在
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queries = []
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type2_indices = []
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for i in range(self.q):
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t = random.choices([1, 2], weights=[0.4, 0.6])[0] # 增加类型2概率
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x = random.randint(1, self.n)
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y = random.randint(1, 10**9)
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queries.append([t, x, y]) # 统一使用列表存储
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if t == 2:
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type2_indices.append(i)
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# 确保至少一个类型2查询
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if not type2_indices:
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queries[-1] = [2, random.randint(1, self.n), random.randint(1, 10**9)]
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type2_indices = [self.q-1]
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# 预处理答案(优化模拟)
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current_a = a.copy()
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answers = []
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for op in queries:
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t, x, y = op
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if t == 1:
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# 使用二分查找确定有效更新范围
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left = 0
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right = x-1 # 转换为0-based索引
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update_pos = next((i for i in range(x) if current_a[i] < y), None)
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if update_pos is not None:
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current_a[update_pos:x] = [max(y, val) for val in current_a[update_pos:x]]
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else:
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# 使用累积和优化计算
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prefix = list(accumulate(current_a[x-1:]))
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money = y
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count = 0
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for s in prefix:
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if s > money:
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break
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count += 1
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money -= s - (prefix[count-2] if count>1 else 0)
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answers.append(count)
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return {
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'n': self.n,
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'q': self.q,
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'initial_array': a,
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'queries': queries, # 统一使用列表存储
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'answers': answers
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}
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@staticmethod
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def prompt_func(question_case) -> str:
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input_lines = [
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f"{question_case['n']} {question_case['q']}",
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' '.join(map(str, question_case['initial_array']))
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]
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for op in question_case['queries']:
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input_lines.append(f"{op[0]} {op[1]} {op[2]}")
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return f"""你正在处理餐馆消费查询系统,需要处理两种操作类型:
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**规则详解**
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1. 类型1 (1 x y):将前x个餐馆的餐费更新为原值和y的较大值
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2. 类型2 (2 x y):顾客从第x个餐馆开始向后消费,直到余额不足
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**输入格式**
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{" ".join(input_lines[:2])}
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{chr(10).join(input_lines[2:])}
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**答案格式要求**
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请将所有类型2查询的答案按顺序排列在[answer]标签内,例如:
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[answer]
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3
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5
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2
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[/answer]"""
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@staticmethod
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def extract_output(output):
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matches = re.findall(r'\[answer\](.*?)\[/answer\]', output, re.DOTALL)
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if not matches:
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return None
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answers = []
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for line in matches[-1].strip().split('\n'):
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if line.strip().isdigit():
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answers.append(int(line.strip()))
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return answers or None
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@classmethod
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def _verify_correction(cls, solution, identity):
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return solution == identity['answers']
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# 验证示例
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if __name__ == "__main__":
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bootcamp = Cgreedyshoppingbootcamp(n=10, q=6)
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case = bootcamp.case_generator()
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print("Generated Case:")
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print(f"Initial array: {case['initial_array']}")
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print(f"Queries: {case['queries']}")
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print(f"Expected answers: {case['answers']}")
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prompt = Cgreedyshoppingbootcamp.prompt_func(case)
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print("\nGenerated Prompt:")
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print(prompt)
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# 模拟模型回答
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response = f"[answer]\n" + "\n".join(map(str, case['answers'])) + "\n[/answer]"
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extracted = Cgreedyshoppingbootcamp.extract_output(response)
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print("\nExtracted Answer:", extracted)
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score = Cgreedyshoppingbootcamp.verify_score(response, case)
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print("Validation Score:", score)
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