*** 
Aspic by Laure Gonnord, version 3.4  
Binary compiled on vendredi  1 janvier 2016 
Input file = main.fst 
***
 Configuration of Aspic * (version 3.4) 
   * name of file : main.fst 
   * inputfile of type (real) Fast format 
   * PRINTING all stuff for compsys ranking method 
   * DEBUG : Only prints analysis steps in a separate .log file 
   * PRINTING STUFF : Infile+Invars 
   * ANALYSIS 
    * with acceleration 
   * delay of widening = 1 
   * steps of descending sequence = 0 
   * newpath heuristic = disabled 
   * Name of model = main, Name of file = main.fst 
   * 5 variable(s) and 11 locs(s) and 14 transitions(s) in the .fst
   * Searching objective in fast strategy 
       -> we suppose that we want to compute post*(init) with init a convex set
       or post*(init) and bad if the state bad exists and bad is convex
       -> Initial region "init" found
       -> Finding initial polyhedron. OK. 
       -> No bad region
INFO : 5 vars, 11 locations, 14 transitions 
   * The initial state has label evalfstart and the associated polyhedron is {
$>=0,1>0} 
   * There is/are 0 bad node(s)
   * Precomputing special stuff for ranking option
 10 vars, 15(15==15) transitions and 12 locs now 
  * Printing option = Infile+Invars 
   * Parsing OK, now analysing 
   * LRA with acceleration with delay =  1 
main
*** Results : 
   *  Invariants =  
evalfstart -----> {C=C__o, B=B__o, A=A__o, D=D__o, E=E__o} 

evalfentryin -----> {C=C__o, B=B__o, A=A__o, D=D__o, E=E__o} 

evalfbb10in -----> {A>=1, B=B__o} 

evalfbb8in -----> {C>=1, A>=1, A<=B, B=B__o} 

evalfreturnin -----> {A>B, A>=1, B=B__o} 

evalfbb6in -----> {C>=1, B+1>=D, A>=C, A+1<=D, B=B__o} 

evalfbb4in -----> {E>=1, C>=1, B>=D, A>=C, A+1<=D, B=B__o} 

evalfbb7in -----> {A+1<=D, A>=C, B+1>=D, C>=1, B<D, B=B__o} 

evalfbb3in -----> {D>=E, E>=1, C>=1, B>=D, A>=C, A+1<=D, B=B__o} 

evalfbb5in -----> {D<E, C>=1, B>=D, A>=C, A+1<=D, B=B__o} 

evalfstop -----> {A>B, A>=1, B=B__o} 

____evalfstart -----> {true} 
   * Remember that we have no bad region 
   * No accel has been applied
   * Stats =  { time=0.017000; iterations=8; descendings=0; } 

  print result in fast++
 Finished !