PRISM
=====
Version: 4.5.dev
Date: Sat Apr 03 01:00:37 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.2-4.prism csma.props --property some_before
Parsing model file "csma.2-4.prism"...
Type: MDP
Modules: bus station1 station2
Variables: b y1 y2 s1 x1 bc1 cd1 s2 x2 bc2 cd2
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): 93 iterations in 0.05 seconds (average 0.000548, setup 0.00)
Time for model construction: 0.08 seconds.
Type: MDP
States: 7958 (1 initial)
Transitions: 10594
Choices: 7988
Transition matrix: 5586 nodes (6 terminal), 10594 minterms, vars: 36r/36c/9nd
Prob0E: 51 iterations in 0.04 seconds (average 0.000745, setup 0.00)
Prob1A: 20 iterations in 0.02 seconds (average 0.000950, setup 0.00)
yes = 5406, no = 2490, maybe = 62
Computing remaining probabilities...
Engine: Sparse
Building sparse matrix... [n=7958, nc=71, nnz=233, k=2] [10.6 KB]
Creating vector for yes... [62.2 KB]
Allocating iteration vectors... [2 x 62.2 KB]
TOTAL: [197.1 KB]
Starting iterations...
Iterative method: 31 iterations in 0.00 seconds (average 0.000032, setup 0.00)
Value in the initial state: 0.984375
Time for model checking: 0.065 seconds.
Result: 0.984375 (value in the initial state)
Overall running time: 0.399 seconds.
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Note: There was 1 warning during computation.