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timmy-config/allegro/goap/__pycache__/planner.cpython-312.pyc

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2026-03-31 20:02:01 +00:00
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GOAP Planner Module - Allegro-Primus Child Autonomy System
A* search-based planning for action sequences to achieve goals.
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PlanStatuszStatus of a planN)
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Calculate estimated distance to goal.
Returns value between 0 (at goal) and 1 (far from goal).
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Goal-Oriented Action Planner using A* search.
Finds optimal action sequences to achieve goals.
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Create a plan to achieve the goal from the current world state.
Uses A* search to find optimal action sequence.
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Plan for multiple goals.
Strategies: 'sequential', 'interleaved', 'prioritized'
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r"<00>plan_multi_goalzGOAPPlanner.plan_multi_goalBs<><00><00><13><05> <20><1B>-<2D> <0A> <13>|<7C> #<23><1E>u<EFBFBD>*N<>X\<5C>]<5D> L<01><04><1B>y<EFBFBD>y<EFBFBD><14>}<7D>5<><04><17><19>L<EFBFBD>L<EFBFBD><14>&<26>"&<26>,<2C>,<2C>L<01><06>(.<2E>(<<3C>(<<3C>]<5D>(K<> <0A>L<01>  L<01> <15> <0C><16><1D> &<26><14><1E>u<EFBFBD>*N<>O<><08><1B>y<EFBFBD>y<EFBFBD><18>=<3D>9<><04><17><19>L<EFBFBD>L<EFBFBD><14>&<26><14> r!<00> current_plan<61>failed_action_indexc<00>h<00>|j|dzd}|j|j|<02>}|r|Sy)zD
Replan from current state after an action failure.
r_N)rCr<>rB)r7r<>r*r<><00>remaining_actions<6E>new_plans r"<00>replanzGOAPPlanner.replancsC<00><00>)<29>0<>0<>1D<31>q<EFBFBD>1H<31>1I<31>J<><19><18>9<EFBFBD>9<EFBFBD>\<5C>.<2E>.<2E> <0B><<3C><08> <13><1B>O<EFBFBD>r!c <00><><00>|j|j|jtd|j<00>z |j|j|j
|j |jd<02>S)zGet planner statisticsr_)r<>r<><00> success_rater<65>r<>r{r|r})r<>r<>rfr<>r<>r{r|r}r6s r"<00> get_statszGOAPPlanner.get_statsysd<00><00>"<22>/<2F>/<2F>#<23>3<>3<> <20>0<>0<>3<EFBFBD>q<EFBFBD>$<24>:L<>:L<>3M<33>M<>%)<29>%?<3F>%?<3F>#'<27>#;<3B>#;<3B><1D><1E><1E><1D><1E><1E>#<23>3<>3<> 
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Identify actions that can be executed in parallel.
Returns list of action groups.
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Goal: zInitial satisfaction: z.2fzDesired state: z
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