concepts.dm.pdsketch.crow.crow_state.PartiallyOrderedPlan#

class PartiallyOrderedPlan[source]#

Bases: object

A partially ordered plan is a set of totally ordered plan sequences.

Methods

`add_chain`(chain[, return_all_skeletons_flags])	Add a new chain to the plan; return a new plan.
`exclude`(chain_index, item_index)	Exclude the given item from the given chain; return a new plan.
`from_single_goal`(goal[, ...])	Create a plan from a single goal.
`gen_string`()
`iter_feasible_chains`()
`iter_goals`()
`set_infeasible_index`(chain_index)

Attributes

`nr_chains`
`total_length`
`chains`	The totally ordered plan sequences.
`infeasible_index`	One can optionally mark one of the chain as infeasible to be the last chain.

__init__(chains)[source]#

Initialize the partially ordered plan.

Parameters:: chains (Sequence[TotallyOrderedPlan]) – a collection of the totally ordered plan sequences.

__len__()[source]#

__new__(**kwargs)#

add_chain(chain, return_all_skeletons_flags=False)[source]#

Add a new chain to the plan; return a new plan.

Parameters:

chain (Sequence[ValueOutputExpression | RegressionRuleApplier])
return_all_skeletons_flags (Sequence[bool] | None)

Return type:

PartiallyOrderedPlan

exclude(chain_index, item_index)[source]#

Exclude the given item from the given chain; return a new plan.

Parameters:

chain_index (int)
item_index (int)

Return type:

PartiallyOrderedPlan

classmethod from_single_goal(goal, return_all_skeletons_flag=False)[source]#

Create a plan from a single goal.

Parameters:

goal (ValueOutputExpression | RegressionRuleApplier)
return_all_skeletons_flag (bool)

Return type:

PartiallyOrderedPlan

gen_string()[source]#

iter_feasible_chains()[source]#

Return type:: Iterator[Tuple[int, TotallyOrderedPlan]]

iter_goals()[source]#

Return type:: Iterator[ValueOutputExpression]

set_infeasible_index(chain_index)[source]#

Parameters:: chain_index (int)

chains: Tuple[TotallyOrderedPlan, ...]#: The totally ordered plan sequences.

infeasible_index: int | None#: One can optionally mark one of the chain as infeasible to be the last chain. Currently this flag is not used.

property nr_chains#

property total_length#