// TLE Θ(N^3) 後ろからやって状態数削減、遷移は高速化せず

// #pragma GCC target("avx2")
// #pragma GCC optimize("O3")
// #pragma GCC optimize("unroll-loops")

#include <algorithm>
#include <chrono>
#include <iostream>
#include <limits>
#include <vector>

constexpr int64_t inf = std::numeric_limits<int64_t>::max() / 2;

int main() {
    int n;
    std::cin >> n;

    std::vector<int32_t> c(n + 1);
    std::vector<int64_t> v(n + 1);
    for (int i = 1; i <= n; ++i) {
        std::cin >> c[i] >> v[i];
    }

    std::vector dp(n + 1, std::vector<int64_t>(n + 1, -inf));
    dp[0][0] = 0;

    for (uint32_t i = n; i > 0; --i) {
        const uint32_t max_num = uint32_t(n) / i;
        // dp[num][sum] = max{ pd[num-p][sum-p*i]+p*v[i] | 0<=p<=c[i] } ⋃ {-∞}
        for (uint32_t num = max_num; num --> 0;) {
            for (uint32_t sum = n; sum --> num * i;) {
                if (dp[num][sum] == -inf) continue;
                const uint32_t pmax = std::min({ max_num - num, (n - sum) / i, uint32_t(c[i]) });
                for (uint32_t p = 1; p <= pmax; ++p) {
                    dp[num + p][sum + i * p] = std::max(dp[num + p][sum + i * p], dp[num][sum] + p * v[i]);
                }
            }
        }
    }

    for (int32_t k = 1; k <= n; ++k) {
        std::cout << *std::max_element(dp[k].begin(), dp[k].end()) << '\n';
    }
    return 0;
}