Exemple #1
0
    path = traceback(minnode)
    
    if (mileage == False):
        print("Path with minimum stops:")
    else:
        print("Path with least mileage:")
    pathstr = ""
    for n in path:
        pathstr+=n.value
    print(pathstr)
    if (mileage == False):
        print("Stops:",minnode.cost)
    else:
        print("Miles:",minnode.cost)
    print("Nodes expanded:", step)


    

if __name__ == '__main__':
    Widget1 = inc.Widget("AEDCA")
    Widget2 = inc.Widget("BEACD")
    Widget3 = inc.Widget("BABCE")
    Widget4 = inc.Widget("DADBD")
    Widget5 = inc.Widget("BECBD")
    
    Widgets = [Widget1, Widget2, Widget3, Widget4, Widget5] # container for passing to function
    
    solve(Widgets)
    print()
    solve(Widgets,True)
Exemple #2
0
            # we don't want duplicates in a row
            q = random.randint(0,4)
        s+=chars[q]
    return s

if __name__ == '__main__':
    minstep_nodes = []
    minmile_nodes = []
    x = [3,4,5,6,7,8]
    for N in x:
        print("N =",N)
        print()
        
        # generate the widgets
        
        Widget1 = inc.Widget(randstring(N))
        Widget2 = inc.Widget(randstring(N))
        Widget3 = inc.Widget(randstring(N))
        Widget4 = inc.Widget(randstring(N))
        Widget5 = inc.Widget(randstring(N))
        
        Widgets = [Widget1, Widget2, Widget3, Widget4, Widget5] # container for passing to function
        
        # solve for minimum steps
        minstep_nodes.append(prog.solve(Widgets))
        print()
        # solve for minimum mileage
        minmile_nodes.append(prog.solve(Widgets,True))
        print()
        print()