Another feature of Shakespeare language is that the variables are named after characters of plays by Shakespeare, and all operations on them (value assignment, output etc.) look like a dialog with other characters. New values of variables are defined in a rather lengthy way, so a programmer should try to minimize their usage.

You have to print the given sequence of n integers. To do this, you have m variables and two types of operations on them:

  * variable=integer
  * print(variable)



Any of the m variables can be used as variable. Variables are denoted by lowercase letters between "a" and "z", inclusive. Any integer number can be used as integer.

Let's say that the penalty for using first type of operations equals to the number of set bits in the number integer. There is no penalty on using second type of operations. Find and output the program which minimizes the penalty for printing the given sequence of numbers.

Input

The first line of input contains integers n and m (1 ≤ n ≤ 250, 1 ≤ m ≤ 26). The second line contains the sequence to be printed. Each element of the sequence is an integer between 1 and 109, inclusive. The sequence has to be printed in the given order (from left to right).

Output

Output the number of lines in the optimal program and the optimal penalty. Next, output the program itself, one command per line. If there are several programs with minimal penalty, output any of them (you have only to minimize the penalty).

Examples

Input

7 2
1 2 2 4 2 1 2


Output

11 4
b=1
print(b)
a=2
print(a)
print(a)
b=4
print(b)
print(a)
b=1
print(b)
print(a)


Input

6 3
1 2 3 1 2 3


Output

9 4
c=1
print(c)
b=2
print(b)
a=3
print(a)
print(c)
print(b)
print(a)
#include <bits/stdc++.h>
using namespace std;
template <typename flow_t = int, typename cost_t = int>
struct mcSFlow {
  struct Edge {
    cost_t c;
    flow_t f;
    int to, rev;
    Edge(int _to, cost_t _c, flow_t _f, int _rev)
        : c(_c), f(_f), to(_to), rev(_rev) {}
  };
  const cost_t INFCOST = numeric_limits<cost_t>::max() / 2;
  const cost_t INFFLOW = numeric_limits<flow_t>::max() / 2;
  cost_t epsilon;
  int N, S, T;
  vector<vector<Edge> > G;
  vector<unsigned int> isEnqueued, state;
  mcSFlow(int _N, int _S, int _T) : epsilon(0), N(_N), S(_S), T(_T), G(_N) {}
  void add_edge(int a, int b, cost_t cost, flow_t cap) {
    if (a == b) {
      assert(cost >= 0);
      return;
    }
    cost *= N;
    epsilon = max(epsilon, abs(cost));
    assert(a >= 0 && a < N && b >= 0 && b < N);
    G[a].emplace_back(b, cost, cap, G[b].size());
    G[b].emplace_back(a, -cost, 0, G[a].size() - 1);
  }
  flow_t calc_max_flow() {
    vector<flow_t> dist(N), state(N);
    vector<Edge *> path(N);
    auto cmp = [](Edge *a, Edge *b) { return a->f < b->f; };
    flow_t addFlow, retflow = 0;
    ;
    do {
      fill(dist.begin(), dist.end(), -1);
      dist[S] = 0;
      auto head = state.begin(), tail = state.begin();
      for (*tail++ = S; head != tail; ++head) {
        for (Edge const &e : G[*head]) {
          if (e.f && dist[e.to] == -1) {
            dist[e.to] = dist[*head] + 1;
            *tail++ = e.to;
          }
        }
      }
      addFlow = 0;
      fill(state.begin(), state.end(), 0);
      auto top = path.begin();
      Edge dummy(S, 0, INFFLOW, -1);
      *top++ = &dummy;
      while (top != path.begin()) {
        int n = (*prev(top))->to;
        if (n == T) {
          auto next_top = min_element(path.begin(), top, cmp);
          flow_t flow = (*next_top)->f;
          while (--top != path.begin()) {
            Edge &e = **top, &f = G[e.to][e.rev];
            e.f -= flow;
            f.f += flow;
          }
          addFlow = 1;
          retflow += flow;
          top = next_top;
          continue;
        }
        for (flow_t &i = state[n], i_max = G[n].size(), need = dist[n] + 1;;
             ++i) {
          if (i == i_max) {
            dist[n] = -1;
            --top;
            break;
          }
          if (dist[G[n][i].to] == need && G[n][i].f) {
            *top++ = &G[n][i];
            break;
          }
        }
      }
    } while (addFlow);
    return retflow;
  }
  vector<flow_t> excess;
  vector<cost_t> h;
  void push(Edge &e, flow_t amt) {
    if (e.f < amt) amt = e.f;
    e.f -= amt;
    excess[e.to] += amt;
    G[e.to][e.rev].f += amt;
    excess[G[e.to][e.rev].to] -= amt;
  }
  void relabel(int vertex) {
    cost_t newHeight = -INFCOST;
    for (unsigned int i = 0; i < G[vertex].size(); ++i) {
      Edge const &e = G[vertex][i];
      if (e.f && newHeight < h[e.to] - e.c) {
        newHeight = h[e.to] - e.c;
        state[vertex] = i;
      }
    }
    h[vertex] = newHeight - epsilon;
  }
  const int scale = 2;
  pair<flow_t, cost_t> minCostFlow() {
    cost_t retCost = 0;
    for (int i = 0; i < N; ++i) {
      for (Edge &e : G[i]) {
        retCost += e.c * (e.f);
      }
    }
    flow_t retFlow = calc_max_flow();
    excess.resize(N);
    h.resize(N);
    queue<int> q;
    isEnqueued.assign(N, 0);
    state.assign(N, 0);
    for (; epsilon; epsilon >>= scale) {
      fill(state.begin(), state.end(), 0);
      for (int i = 0; i < N; ++i)
        for (auto &e : G[i])
          if (h[i] + e.c - h[e.to] < 0 && e.f) push(e, e.f);
      for (int i = 0; i < N; ++i) {
        if (excess[i] > 0) {
          q.push(i);
          isEnqueued[i] = 1;
        }
      }
      while (!q.empty()) {
        int cur = q.front();
        q.pop();
        isEnqueued[cur] = 0;
        while (excess[cur] > 0) {
          if (state[cur] == G[cur].size()) {
            relabel(cur);
          }
          for (unsigned int &i = state[cur], max_i = G[cur].size(); i < max_i;
               ++i) {
            Edge &e = G[cur][i];
            if (h[cur] + e.c - h[e.to] < 0) {
              push(e, excess[cur]);
              if (excess[e.to] > 0 && isEnqueued[e.to] == 0) {
                q.push(e.to);
                isEnqueued[e.to] = 1;
              }
              if (excess[cur] == 0) break;
            }
          }
        }
      }
      if (epsilon > 1 && epsilon >> scale == 0) {
        epsilon = 1 << scale;
      }
    }
    for (int i = 0; i < N; ++i) {
      for (Edge &e : G[i]) {
        retCost -= e.c * (e.f);
      }
    }
    return make_pair(retFlow, retCost / 2 / N);
  }
  flow_t getFlow(Edge const &e) { return G[e.to][e.rev].f; }
};
const int N = 260, M = 30, inf = 1e5 + 42;
int a[N];
char var[N];
int val[M];
int main() {
  ios_base::sync_with_stdio(false);
  cin.tie(NULL);
  int n, m;
  cin >> n >> m;
  int act_source = 0, source = 1, sink = 2 * n + 2;
  mcSFlow<long long, long long> mf(sink + 1, act_source, sink);
  mf.add_edge(act_source, source, 0, m);
  mf.add_edge(source, sink, 0, inf);
  for (int i = 1; i <= n; ++i) {
    cin >> a[i];
    mf.add_edge(source, 2 * i, __builtin_popcount(a[i]), inf);
    mf.add_edge(2 * i, 2 * i + 1, -inf, 1);
    mf.add_edge(2 * i + 1, sink, 0, inf);
  }
  for (int i = 1; i <= n; ++i) {
    for (int j = i + 1; j <= n; ++j) {
      mf.add_edge(2 * i + 1, 2 * j,
                  (a[i] == a[j]) ? 0 : __builtin_popcount(a[j]), inf);
    }
  }
  auto ans = mf.minCostFlow();
  assert(ans.first == m);
  ans.second += n * inf;
  char nxt_var = 'a';
  for (int i = 1; i <= n; ++i) {
    if (!var[i]) {
      var[i] = nxt_var++;
    }
    for (auto &e : mf.G[2 * i + 1]) {
      if (mf.getFlow(e) == 1 and e.to != sink) {
        var[e.to / 2] = var[i];
        break;
      }
    }
  }
  vector<string> events;
  for (int i = 1; i <= n; ++i) {
    if (val[var[i] - 'a'] != a[i]) {
      val[var[i] - 'a'] = a[i];
      events.push_back(var[i] + string("=") + to_string(a[i]));
    }
    events.push_back(string("print(") + var[i] + string(")"));
  }
  cout << events.size() << ' ' << ans.second << '\n';
  for (auto &s : events) {
    cout << s << '\n';
  }
}
