Latest Execution of Plan Tuesday, March 23rd, 16:40:49

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Below is the output from the latest plan execution

Output

Executing Problem 1

Number of literals: 8630
Constructing lookup tables: [10%] [20%] [30%] [40%] [50%] [60%] [70%] [80%] [90%] [100%]
Post filtering unreachable actions:  [10%] [20%] [30%] [40%] [50%] [60%] [70%] [80%] [90%] [100%]
(steps) has a finite lower bound: [0.000,inf]
Have identified that bigger values of (battery-amount roomba1) are preferable
Have identified that smaller values of (trash-amount roomba1) are preferable
Have identified that bigger values of (battery-amount roomba2) are preferable
Have identified that smaller values of (trash-amount roomba2) are preferable
Have identified that bigger values of (battery-amount roomba3) are preferable
Have identified that smaller values of (trash-amount roomba3) are preferable
Have identified that bigger values of (battery-amount roomba4) are preferable
Have identified that smaller values of (trash-amount roomba4) are preferable
Have identified that bigger values of (battery-amount roomba5) are preferable
Have identified that smaller values of (trash-amount roomba5) are preferable
Have identified that bigger values of (battery-amount roomba6) are preferable
Have identified that smaller values of (trash-amount roomba6) are preferable
Have identified that bigger values of (battery-amount roomba7) are preferable
Have identified that smaller values of (trash-amount roomba7) are preferable
Have identified that bigger values of (battery-amount roomba8) are preferable
Have identified that smaller values of (trash-amount roomba8) are preferable
Have identified that bigger values of (battery-amount roomba9) are preferable
Have identified that smaller values of (trash-amount roomba9) are preferable
Have identified that bigger values of (battery-amount roomba10) are preferable
Have identified that smaller values of (trash-amount roomba10) are preferable
Have identified that bigger values of (battery-amount roomba11) are preferable
Have identified that smaller values of (trash-amount roomba11) are preferable
Have identified that bigger values of (battery-amount roomba12) are preferable
Have identified that smaller values of (trash-amount roomba12) are preferable
Have identified that bigger values of (battery-amount roomba13) are preferable
Have identified that smaller values of (trash-amount roomba13) are preferable
Have identified that bigger values of (battery-amount roomba14) are preferable
Have identified that smaller values of (trash-amount roomba14) are preferable
Have identified that bigger values of (battery-amount roomba15) are preferable
Have identified that smaller values of (trash-amount roomba15) are preferable
Have identified that bigger values of (battery-amount roomba16) are preferable
Have identified that smaller values of (trash-amount roomba16) are preferable
Have identified that bigger values of (battery-amount roomba17) are preferable
Have identified that smaller values of (trash-amount roomba17) are preferable
Have identified that bigger values of (battery-amount roomba18) are preferable
Have identified that smaller values of (trash-amount roomba18) are preferable
Have identified that bigger values of (battery-amount roomba19) are preferable
Have identified that smaller values of (trash-amount roomba19) are preferable
�[01;34mNo analytic limits found, not considering limit effects of goal-only operators�[00m
1% of the ground temporal actions in this problem are compression-safe
Initial heuristic = 890.000, admissible cost estimate 0.000
b (889.000 | 5.000)b (888.000 | 10.000)b (887.000 | 10.000)b (886.000 | 10.000)b (885.000 | 10.000)b (882.000 | 10.000)b (879.000 | 10.000)b (876.000 | 10.000)b (875.000 | 10.000)b (874.000 | 10.000)b (873.000 | 10.000)b (872.000 | 10.000)b (871.000 | 10.000)b (870.000 | 15.001)b (869.000 | 15.001)b (868.000 | 15.001)b (867.000 | 15.001)b (866.000 | 15.001)b (865.000 | 15.001)b (864.000 | 15.001)b (863.000 | 15.001)b (862.000 | 15.001)b (859.000 | 20.000)b (858.000 | 20.000)b (855.000 | 20.000)b (854.000 | 20.000)b (853.000 | 20.000)b (852.000 | 20.000)b (851.000 | 20.000)b (850.000 | 20.000)b (849.000 | 20.000)b (848.000 | 20.000)b (847.000 | 20.000)b (846.000 | 20.000)b (845.000 | 20.000)b (844.000 | 20.000)b (843.000 | 20.000)b (842.000 | 25.002)b (841.000 | 25.002)b (840.000 | 25.002)b (839.000 | 25.002)b (836.000 | 25.002)b (835.000 | 25.002)b (834.000 | 30.002)b (833.000 | 30.002)b (832.000 | 30.002)b (831.000 | 30.002)b (830.000 | 30.002)b (829.000 | 30.002)b (826.000 | 30.002)b (825.000 | 30.002)b (824.000 | 30.002)b (821.000 | 35.003)b (820.000 | 35.003)b (819.000 | 35.003)b (818.000 | 35.003)b (817.000 | 40.003)b (816.000 | 40.003)b (815.000 | 40.003)b (814.000 | 40.003)b (813.000 | 40.003)b (812.000 | 40.003)b (811.000 | 40.003)b (810.000 | 40.003)b (809.000 | 45.004)b (808.000 | 45.004)b (805.000 | 50.004)b (804.000 | 50.004)b (801.000 | 50.004)b (800.000 | 50.004)b (797.000 | 50.004)b (796.000 | 50.004)b (793.000 | 60.004)b (792.000 | 60.004)b (791.000 | 60.004)b (788.000 | 60.004)b (787.000 | 60.004)b (786.000 | 60.005)b (783.000 | 70.006)b (782.000 | 70.006)b (779.000 | 70.006)b (778.000 | 70.006)b (777.000 | 70.006)b (774.000 | 80.007)b (773.000 | 80.007)b (772.000 | 80.007)b (769.000 | 90.008)```