#include <array>
#include <iostream>
#include <vector>

#include <atcoder/modint>

using mint = atcoder::modint;

#include <atcoder/convolution>
#include <iostream>

#include <vector>

namespace suisen::internal {
    template <typename T>
    std::vector<T> convolution_naive(const std::vector<T>& a, const std::vector<T>& b) {
        const int n = a.size(), m = b.size();
        std::vector<T> c(n + m - 1);
        if (n < m) {
            for (int j = 0; j < m; j++) for (int i = 0; i < n; i++) c[i + j] += a[i] * b[j];
        } else {
            for (int i = 0; i < n; i++) for (int j = 0; j < m; j++) c[i + j] += a[i] * b[j];
        }
        return c;
    }
} // namespace suisen

namespace suisen {
    template <typename mint, atcoder::internal::is_modint_t<mint>* = nullptr>
    std::vector<mint> arbitrary_mod_convolution(const std::vector<mint>& a, const std::vector<mint>& b) {
        int n = int(a.size()), m = int(b.size());
        if (n == 0 or m == 0) return {};
        if (std::min(n, m) <= 60) return internal::convolution_naive(a, b);

        static constexpr long long MOD1 = 754974721;  // 2^24
        static constexpr long long MOD2 = 167772161;  // 2^25
        static constexpr long long MOD3 = 469762049;  // 2^26
        static constexpr long long M1M2 = MOD1 * MOD2;
        static constexpr long long INV_M1_MOD2 = atcoder::internal::inv_gcd(MOD1, MOD2).second;
        static constexpr long long INV_M1M2_MOD3 = atcoder::internal::inv_gcd(M1M2, MOD3).second;

        std::vector<int> a2(n), b2(m);
        for (int i = 0; i < n; ++i) a2[i] = a[i].val();
        for (int i = 0; i < m; ++i) b2[i] = b[i].val();

        auto c1 = atcoder::convolution<MOD1>(a2, b2);
        auto c2 = atcoder::convolution<MOD2>(a2, b2);
        auto c3 = atcoder::convolution<MOD3>(a2, b2);

        const long long m1m2 = mint(M1M2).val();
        std::vector<mint> c(n + m - 1);
        for (int i = 0; i < n + m - 1; ++i) {
            // Garner's Algorithm
            // X = x1 + x2 * m1 + x3 * m1 * m2
            // x1 = c1[i], x2 = (c2[i] - x1) / m1 (mod m2), x3 = (c3[i] - x1 - x2 * m1) / m2 (mod m3)
            long long x1 = c1[i];
            long long x2 = (atcoder::static_modint<MOD2>(c2[i] - x1) * INV_M1_MOD2).val();
            long long x3 = (atcoder::static_modint<MOD3>(c3[i] - x1 - x2 * MOD1) * INV_M1M2_MOD3).val();
            c[i] = x1 + x2 * MOD1 + x3 * m1m2;
        }
        return c;
    }
} // namespace suisen

constexpr int N = 100000;

int main() {
    int n, m, c;
    std::cin >> n >> m >> c;
    mint::set_mod(m);

    int s = 0;

    std::vector<std::vector<mint>> binom(n + 1, std::vector<mint>(n + 1));
    binom[0][0] = 1;
    for (int i = 1; i <= n; ++i) {
        binom[i][0] = binom[i][i] = 1;
        for (int j = 1; j < i; ++j) {
            binom[i][j] = binom[i - 1][j - 1] + binom[i - 1][j];
        }
    }

    std::array<int, N + 1> cnt{};
    for (int i = 0; i < n; ++i) {
        int e;
        std::cin >> e;
        s += e;
        ++cnt[e];
    }

    std::vector dp(c + 1, std::vector<mint>(s + 1));
    dp[0][0] = 1;
    for (int val = N; val >= 1; --val) {
        const int p = cnt[val];
        if (p == 0) continue;

        std::vector<mint> g(p + 1);
        for (int i = 0; i <= p; ++i) {
            g[i] = binom[p][i];
        }

        for (int sum_mod = 0; sum_mod < val; ++sum_mod) {
            const int max_diff = (s - sum_mod) / val;
            for (int diff = 0; diff <= max_diff; ++diff) {
                const int max_num = std::min(c, (s - sum_mod) / val - diff);
                std::vector<mint> f(max_num + 1);
                for (int num = 0; num <= max_num; ++num) {
                    f[num] = dp[num][(num + diff) * val + sum_mod];
                }
                std::vector<mint> h = suisen::arbitrary_mod_convolution(f, g);
                for (int num = 0; num <= max_num; ++num) {
                    dp[num][(num + diff) * val + sum_mod] = h[num];
                }
            }
        }
    }

    for (int sum = 1; sum <= s; ++sum) {
        std::cout << dp[c][sum].val() << " \n"[sum == s];
    }

    return 0;
}