concepts.dm.pdsketch.crow.crow_planner_v2.CROWSearchNode

class CROWSearchNode

Bases: object

Methods

Attributes

previous_actions

__init__(state, goal_set, constraints, csp, plan_tree, track_all_skeletons, associated_regression_rule=None, is_top_level=False, is_leftmost_branch=False, is_all_always=True, depth=0)

Initialize search node for the CROW planner.

Parameters:

• state (State) – the current when the node is expanded.

• goal_set (PartiallyOrderedPlan) – the current goal (subgoal) to achieve.

• constraints (Tuple[ValueOutputExpression, ...]) – the constraints to be satisfied while achieving the goal.

• csp (ConstraintSatisfactionProblem | None) – the constraint satisfaction problem to be solved, associated with all the steps accumulated so far.

• plan_tree (CROWPlanTreeNode | list) – the plan tree associated with the current node.

• track_all_skeletons (bool) – whether to track all the skeletons when we are refining the branch.

• associated_regression_rule (RegressionRule | None) – the regression rule associated with the current node.

• is_top_level (bool) – whether the current node is the top level node (directly instantiated from the goal).

• is_leftmost_branch (bool) – whether the current node is the leftmost branch of the search tree.

• is_all_always (bool) – whether all the subgoals from the root to the current node are [[always]].

• depth (int) – the depth of the current node.

__new__(**kwargs)

property previous_actions