PRISM
=====
Version: 4.5.dev
Date: Fri Feb 26 16:41:03 CET 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.2-2.prism csma.props --property all_before_min
Parsing model file "csma.2-2.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: "all_before_min": Pmin=? [ !"collision_max_backoff" U "all_delivered" ]
Warning: Switching to sparse engine and (backwards) Gauss Seidel (default for heuristic=speed).
Building model...
Computing reachable states...
Reachability (BFS): 85 iterations in 0.02 seconds (average 0.000224, setup 0.00)
Time for model construction: 0.038 seconds.
Type: MDP
States: 1038 (1 initial)
Transitions: 1282
Choices: 1054
Transition matrix: 2120 nodes (4 terminal), 1282 minterms, vars: 30r/30c/9nd
Prob0E: 87 iterations in 0.02 seconds (average 0.000230, setup 0.00)
Prob1A: 13 iterations in 0.00 seconds (average 0.000231, setup 0.00)
yes = 993, no = 16, maybe = 29
Computing remaining probabilities...
Engine: Sparse
Building sparse matrix... [n=1038, nc=35, nnz=71, k=2] [1.9 KB]
Creating vector for yes... [8.1 KB]
Allocating iteration vectors... [2 x 8.1 KB]
TOTAL: [26.2 KB]
Starting iterations...
Iterative method: 17 iterations in 0.00 seconds (average 0.000000, setup 0.00)
Value in the initial state: 0.875
Time for model checking: 0.026 seconds.
Result: 0.875 (value in the initial state)
Overall running time: 0.297 seconds.
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Note: There was 1 warning during computation.