Go: package main

import (
	"bufio"
	"fmt"
	"os"
	"strconv"
)

const BIG_COST = 200000

type Path struct {
	node int
	cost int
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)

	nNodes := scanInt(sc)

	// 各頂点につながる頂点一覧を得るための隣接リスト
	graph := make([][]Path, nNodes)

	for i := 0; i < nNodes; i++ {
		u := scanInt(sc)
		k := scanInt(sc)
		graph[i] = make([]Path, k)
		for d := 0; d < k; d++ {
			graph[u][d] = Path{
				node: scanInt(sc),
				cost: scanInt(sc),
			}
		}
	}

	// 0 から各頂点への最小コストを保存する配列
	minCosts := make([]int, nNodes)

	minCosts[0] = 0
	for i := 1; i < nNodes; i++ {
		minCosts[i] = BIG_COST
	}

	// 各頂点が調査済みかどうかを保持する配列
	checked := make([]bool, nNodes)

	// 最小コストのパスを高速に取得するためのヒープ。
	// コストが小さいものほどルートに来るようにする。
	heap := NewHeap(func(a, b Path) bool {
		return a.cost < b.cost
	})

	heap.insert(Path{node: 0, cost: 0})
	for heap.size > 0 {
		u := heap.extractMax()

		// 隣接行列を使っていた時とは違い、ヒープには
		// 同じノードへのパスが複数含まれうる。そのため既によりコストの低い
		// パスが見つかっている場合は無視する。
		if minCosts[u.node] < u.cost {
			continue
		}

		checked[u.node] = true

		for _, v := range graph[u.node] {
			cost := v.cost + u.cost
			if !checked[v.node] && cost < minCosts[v.node] {
				minCosts[v.node] = cost
				heap.insert(Path{node: v.node, cost: cost})
			}
		}
	}

	w := bufio.NewWriter(os.Stdout)
	for i, cost := range minCosts {
		fmt.Fprintf(w, "%d %d\n", i, cost)
	}
	w.Flush()
}

func scanInt(sc *bufio.Scanner) int {
	sc.Scan()
	v, _ := strconv.Atoi(sc.Text())
	return v
}

// --- From ALDS1_9_C: Priority Queue

type Heap struct {
	size   int
	heap   []Path
	isHigh func(a, b Path) bool
}

func NewHeap(isHigh func(a, b Path) bool) Heap {
	heap := make([]Path, 1) // 先頭は不使用
	return Heap{size: 0, heap: heap, isHigh: isHigh}
}

func (h *Heap) insert(v Path) {
	h.size += 1
	if h.size > len(h.heap)-1 {
		h.heap = append(h.heap, v)
	} else {
		h.heap[h.size] = v
	}

	for i := h.size; i > 1; {
		parent := i / 2
		if h.isHigh(h.heap[parent], h.heap[i]) {
			break
		}
		h.heap[i], h.heap[parent] = h.heap[parent], h.heap[i]
		i = parent
	}
}

func (h *Heap) extractMax() Path {
	if h.size <= 0 {
		panic("cannot extract from empty heap")
	}

	max := h.heap[1]
	h.heap[1] = h.heap[h.size]
	h.size -= 1
	h.maxHeapify(1)

	return max
}

func (h *Heap) maxHeapify(idx int) {
	left := idx * 2
	right := left + 1
	largest := idx

	if left <= h.size {
		if h.isHigh(h.heap[left], h.heap[idx]) {
			largest = left
		}
		if right <= h.size && h.isHigh(h.heap[right], h.heap[largest]) {
			largest = right
		}
	}

	if largest != idx {
		h.heap[idx], h.heap[largest] = h.heap[largest], h.heap[idx]
		h.maxHeapify(largest)
	}
}

C++: #include <iostream>
#include <iomanip> // << fixed << setprecision(xxx)
#include <algorithm> // do { } while ( next_permutation(A, A+xxx) ) ;
#include <vector>
#include <string> // to_string(nnn) // substr(m, n) // stoi(nnn)
#include <complex>
#include <tuple> // get<n>(xxx)
#include <queue>
#include <stack>
#include <map> // if (M.find(key) != M.end()) { }
#include <set> // S.insert(M);
// if (S.find(key) != S.end()) { }
// for (auto it=S.begin(); it != S.end(); it++) { }
// auto it = S.lower_bound(M);
#include <random> // random_device rd; mt19937 mt(rd());
#include <cctype>
#include <cassert>
#include <cmath>
#include <cstdio>
#include <cstdlib> // atoi(xxx)
using namespace std;

#define DEBUG 0 // change 0 -> 1 if we need debug.
// insert #if<tab> by my emacs. #if DEBUG == 1 ... #end

typedef long long ll;

// const int dx[4] = {1, 0, -1, 0};
// const int dy[4] = {0, 1, 0, -1};

// const int C = 1e6+10;
// const ll M = 1000000007;

class UnionFind {
public:
  int N;
  int* root;
  int* rank;

  UnionFind(int n) : N(n) {
    root = new int[N];
    rank = new int[N];
    for (auto i = 0; i < N; ++i) {
      root[i] = i;
      rank[i] = 0;
    }
  }

  ~UnionFind() {
    delete[] root;
    delete[] rank;
  }

  int find(int x) {
    if (root[x] == x) return x;
    return root[x] = find(root[x]);
  }

  void unite(int x, int y) {
    x = find(x);
    y = find(y);
    if (x == y) return;
    if (rank[x] < rank[y]) {
      root[x] = y;
    } else {
      root[y] = x;
      if (rank[x] == rank[y]) ++(rank[x]);
    }
  }

  bool same(int x, int y) {
    return (find(x) == find(y));
  }
};

class Edge {
public:
  int src, dst;
  ll cost;
  Edge(int s, int d, ll c)
    : src(s), dst(d), cost(c) {}
  friend bool operator<(const Edge& x, const Edge& y) {
    return x.cost < y.cost;
  }
  friend bool operator>(const Edge& x, const Edge& y) {
    return x.cost > y.cost;
  }
};

typedef Edge State;

class Graph {
public:
  static const ll infty = 100000000000000000;
  int N;
  vector<Edge>* V;
  vector<Edge> W;
  // dfs, bfs ??±???
  int* component;
  // dfs
  vector<int> dfs_start;
  int* dfs_visited;
  int* dfs_from;
  int dfs_time;
  int* dfs_time_d;
  int* dfs_time_f;
  // bfs
  vector<int> bfs_start;
  int* bfs_visited;
  int* bfs_from;
  ll* bfs_dist;
  // kruskal
  ll kruskal_cost;
  vector<Edge>* kruskal_V;
  vector<Edge> kruskal_W;
  // bellman_ford, dijkstra
  set<int> sh_start;
  ll** sh_dist;
  int** sh_prev;

  Graph(int n)
    : N(n), dfs_time(0), kruskal_cost(-1) {
    V = new vector<Edge>[N];
    component = new int[N];
    dfs_visited = new int[N];
    fill(dfs_visited, dfs_visited+N, 0);
    dfs_from = new int[N];
    dfs_time_d = new int[N];
    dfs_time_f = new int[N];
    bfs_visited = new int[N];
    fill(bfs_visited, bfs_visited+N, 0);
    bfs_from = new int[N];    
    bfs_dist = new ll[N];
    kruskal_V = new vector<Edge>[N];
    sh_dist = new ll*[N];
    sh_prev = new int*[N];    
  }
  ~Graph() {
    delete[] V;
    delete[] component;
    delete[] dfs_visited;
    delete[] dfs_from;
    delete[] dfs_time_d;
    delete[] dfs_time_f;
    delete[] bfs_visited;
    delete[] bfs_from;
    delete[] bfs_dist;
    delete[] kruskal_V;
    for (auto x : sh_start) {
      delete[] sh_dist[x];
      delete[] sh_prev[x];
    }
    delete[] sh_dist;
    delete[] sh_prev;
  }

  void add_edge(int src, int dst, ll cost = 1) {
    Edge e(src, dst, cost);
    V[src].push_back(e);
    W.push_back(e);
  }

  bool is_connected(int s, int t) {
    if (dfs_visited[s] == 0) {
      dfs(s);
    }
    if (dfs_visited[t] == 0) {
      dfs(t);
    }
    return (component[s] == component[t]);
  }

  void dfs(int start) {
    stack<State> S;
    S.push(State(-1, start, 0));
    dfs_start.push_back(start);
    while (!S.empty()) {
      State s = S.top();
      S.pop();
      if (dfs_visited[s.dst] == 0) {
        dfs_visited[s.dst] = 1;
        dfs_time_d[s.dst] = dfs_time++;
        dfs_from[s.dst] = s.src;
        component[s.dst] = start;
        S.push(s);
        for (auto x : V[s.dst]) {
          if (dfs_visited[x.dst] == 0) {
            S.push(State(s.dst, x.dst, s.cost + x.cost));
          }
        }
      } else if (dfs_visited[s.dst] == 1) {
        dfs_visited[s.dst] = 2;
        dfs_time_f[s.dst] = dfs_time++;
      }
    }
  }

  void bfs() {
    assert(!bfs_start.empty());
    queue<State> Q;
    for (auto x : bfs_start) {
      Q.push(State(-1, x, 0));
    }
    while (!Q.empty()) {
      State s = Q.front();
      Q.pop();
      if (bfs_visited[s.dst] == 0) {
        bfs_visited[s.dst] = 1;
        bfs_from[s.dst] = s.src;
        bfs_dist[s.dst] = s.cost;
        component[s.dst] = bfs_start[0];
        for (auto x : V[s.dst]) {
          if (bfs_visited[x.dst] == 0) {
            Q.push(State(s.dst, x.dst, s.cost + x.cost));
          }
        }
      }
    }
  }

  int kruskal() {
    if (kruskal_cost != -1) return kruskal_cost;
    sort(W.begin(), W.end());
    UnionFind u(N);
    int kruskal_cost = 0;
    for (auto e : W) {
      if (!u.same(e.src, e.dst)) {
        kruskal_V[e.src].push_back(e);
        kruskal_W.push_back(e);
        u.unite(e.src, e.dst);
        kruskal_cost += e.cost;
      }
    }
    return kruskal_cost;
  }

  void new_sh_dist(int i) {
    if (sh_start.find(i) == sh_start.end()) {
      sh_dist[i] = new ll[N];
      sh_prev[i] = new int[N];
      sh_start.insert(i);
    }
  }
  
  void bellman_ford(int s) {
    new_sh_dist(s);
    for (auto i = 0; i < N; ++i) {
      sh_dist[s][i] = infty;
    }
    sh_dist[s][s] = 0;
    sh_prev[s][s] = -1;
    while (true) {
      bool update = false;
      for (auto e : W) {
        if (sh_dist[s][e.src] != infty
            && sh_dist[s][e.dst] > sh_dist[s][e.src] + e.cost) {
          sh_dist[s][e.dst] = sh_dist[s][e.src] + e.cost;
          sh_prev[s][e.dst] = e.src;
          update = true;
        }
      }
      if (!update) break;
    }
  }

  void dijkstra(int s) {
    new_sh_dist(s);
    for (auto i = 0; i < N; ++i) {
      sh_dist[s][i] = infty;
    }
    priority_queue<Edge, vector<Edge>, greater<Edge> > Q;
    Q.push(State(-1, s, 0));
    while (!Q.empty()) {
      State now = Q.top();
      Q.pop();
      if (sh_dist[s][now.dst] == infty) {
        sh_dist[s][now.dst] = now.cost;
        sh_prev[s][now.dst] = now.src;
        for (auto e : V[now.dst]) {
          if (sh_dist[s][e.dst] == infty) {
            Q.push(State(e.src, e.dst, e.cost + now.cost));
          }
        }
      }
    }
  }

  vector<int> get_shortest_path(int s, int t) {
    vector<int> path;
    for (; t != -1; t = sh_prev[s][t]) path.push_back(t);
    reverse(path.begin(), path.end());
    return path;
  }
  
};

int main () {
  int n;
  cin >> n;
  Graph g(n);
  for (auto i = 0; i < n; ++i) {
    int u, k;
    cin >> u >> k;
    for (auto j = 0; j < k; ++j) {
      int v;
      ll c;
      cin >> v >> c;
      g.add_edge(u, v, c);
    }
  }
  g.dijkstra(0);
  for (auto i = 0; i < g.N; ++i) {
    cout << i << " " << g.sh_dist[0][i] << endl;
  }
}