import edu.princeton.cs.introcs.StdIn;
import edu.princeton.cs.introcs.StdOut;

/*************************************************************************
 *  Compilation:  javac CPM.java
 *  Execution:    java CPM < input.txt
 *  Dependencies: EdgeWeightedDigraph.java AcyclicDigraphLP.java StdOut.java
 *  Data files:   http://algs4.cs.princeton.edu/44sp/jobsPC.txt
 *
 *  Critical path method.
 *
 *  % java CPM < jobsPC.txt
 *   job   start  finish
 *  --------------------
 *     0     0.0    41.0
 *     1    41.0    92.0
 *     2   123.0   173.0
 *     3    91.0   127.0
 *     4    70.0   108.0
 *     5     0.0    45.0
 *     6    70.0    91.0
 *     7    41.0    73.0
 *     8    91.0   123.0
 *     9    41.0    70.0
 *  Finish time:   173.0
 *
 *************************************************************************/

/**
 *  The  CPM  class provides a client that solves the
 *  parallel precedence-constrained job scheduling problem
 *  via the  critical path method . It reduces the problem
 *  to the longest-paths problem in edge-weighted DAGs.
 *  It builds an edge-weighted digraph (which must be a DAG)
 *  from the job-scheduling problem specification,
 *  finds the longest-paths tree, and computes the longest-paths
 *  lengths (which are precisely the start times for each job).
 *   
 *  This implementation uses {@link AcyclicLP} to find a longest
 *  path in a DAG.
 *  The running time is proportional to  V  +  E ,
 *  where  V  is the number of jobs and  E  is the
 *  number of precedence constraints.
 *   
 *  For additional documentation,
 *  see <a href="http://algs4.cs.princeton.edu/44sp">Section 4.4</a> of
 *   Algorithms, 4th Edition  by Robert Sedgewick and Kevin Wayne.
 *
 *  @author Robert Sedgewick
 *  @author Kevin Wayne
 */
public class CPM {

    // this class cannot be instantiated
    private CPM() { }

    /**
     *  Reads the precedence constraints from standard input
     *  and prints a feasible schedule to standard output.
     */
    public static void main(String[] args) {

        // number of jobs
        int N = StdIn.readInt();

        // source and sink
        int source = 2*N;
        int sink   = 2*N + 1;

        // build network
        EdgeWeightedDigraph G = new EdgeWeightedDigraph(2*N + 2);
        for (int i = 0; i < N; i++) {
            double duration = StdIn.readDouble();
            G.addEdge(new DirectedEdge(source, i, 0.0));
            G.addEdge(new DirectedEdge(i+N, sink, 0.0));
            G.addEdge(new DirectedEdge(i, i+N,    duration));

            // precedence constraints
            int M = StdIn.readInt();
            for (int j = 0; j < M; j++) {
                int precedent = StdIn.readInt();
                G.addEdge(new DirectedEdge(N+i, precedent, 0.0));
            }
        }

        // compute longest path
        AcyclicLP lp = new AcyclicLP(G, source);

        // print results
        StdOut.println(" job   start  finish");
        StdOut.println("--------------------");
        for (int i = 0; i < N; i++) {
            StdOut.printf("%4d %7.1f %7.1f\n", i, lp.distTo(i), lp.distTo(i+N));
        }
        StdOut.printf("Finish time: %7.1f\n", lp.distTo(sink));
    }

}