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    Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
    Total Submission(s): 7728    Accepted Submission(s): 3545

    Problem Description
    For years, computer scientists have been trying to find efficient solutions to different computing problems. For some of them efficient algorithms are already available, these are the ¡°easy¡± problems like sorting, evaluating a polynomial or finding the shortest path in a graph. For the ¡°hard¡± ones only exponential-time algorithms are known. The traveling-salesman problem belongs to this latter group. Given a set of N towns and roads between these towns, the problem is to compute the shortest path allowing a salesman to visit each of the towns once and only once and return to the starting point.

    The president of Gridland has hired you to design a program that calculates the length of the shortest traveling-salesman tour for the towns in the country. In Gridland, there is one town at each of the points of a rectangular grid. Roads run from every town in the directions North, Northwest, West, Southwest, South, Southeast, East, and Northeast, provided that there is a neighbouring town in that direction. The distance between neighbouring towns in directions North¨CSouth or East¨CWest is 1 unit. The length of the roads is measured by the Euclidean distance. For example, Figure 7 shows 2 ¡Á 3-Gridland, i.e., a rectangular grid of dimensions 2 by 3. In 2 ¡Á 3-Gridland, the shortest tour has length 6.


    The first line contains the number of scenarios.

    For each scenario, the grid dimensions m and n will be given as two integer numbers in a single line, separated by a single blank, satisfying 1 < m < 50 and 1 < n < 50.

    The output for each scenario begins with a line containing ¡°Scenario #i:¡±, where i is the number of the scenario starting at 1. In the next line, print the length of the shortest traveling-salesman tour rounded to two decimal digits. The output for every scenario ends with a blank line.

    Sample Input
    2 2 2 2 3

    Sample Output
    Scenario #1: 4.00 Scenario #2: 6.00



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