PRISM
=====
Version: 4.5.dev
Date: Sat Apr 03 01:00:43 CEST 2021
Hostname: christopher
Memory limits: cudd=4g, java(heap)=11g
Command line: prism -javamaxmem 11g -cuddmaxmem 4g -heuristic speed -e 1e-6 -maxiters 1000000 csma.3-2.prism csma.props --property some_before
Parsing model file "csma.3-2.prism"...
Type: MDP
Modules: bus station1 station2 station3
Variables: b y1 y2 s1 x1 bc1 cd1 s2 x2 bc2 cd2 s3 x3 bc3 cd3
Parsing properties file "csma.props"...
5 properties:
(1) "all_before_max": Pmax=? [ !"collision_max_backoff" U "all_delivered" ]
(2) "all_before_min": Pmin=? [ !"collision_max_backoff" U "all_delivered" ]
(3) "some_before": Pmin=? [ F min_backoff_after_success<K ]
(4) "time_max": R{"time"}max=? [ F "all_delivered" ]
(5) "time_min": R{"time"}min=? [ F "all_delivered" ]
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Model checking: "some_before": Pmin=? [ F min_backoff_after_success<K ]
Warning: Switching to sparse engine and (backwards) Gauss Seidel (default for heuristic=speed).
Building model...
Computing reachable states...
Reachability (BFS): 135 iterations in 0.16 seconds (average 0.001215, setup 0.00)
Time for model construction: 0.215 seconds.
Type: MDP
States: 36850 (1 initial)
Transitions: 55862
Choices: 38456
Transition matrix: 12759 nodes (4 terminal), 55862 minterms, vars: 42r/42c/13nd
Prob0E: 59 iterations in 0.11 seconds (average 0.001797, setup 0.00)
Prob1A: 8 iterations in 0.01 seconds (average 0.001625, setup 0.00)
yes = 17157, no = 19626, maybe = 67
Computing remaining probabilities...
Engine: Sparse
Building sparse matrix... [n=36850, nc=93, nnz=192, k=3] [38.3 KB]
Creating vector for yes... [287.9 KB]
Allocating iteration vectors... [2 x 287.9 KB]
TOTAL: [902.0 KB]
Starting iterations...
Iterative method: 16 iterations in 0.01 seconds (average 0.000125, setup 0.00)
Value in the initial state: 0.5859375
Time for model checking: 0.133 seconds.
Result: 0.5859375 (value in the initial state)
Overall running time: 0.589 seconds.
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Note: There was 1 warning during computation.