concepts.pdsketch.strips.strips_expression.SBoolPredicateApplicationExpression#

class SBoolPredicateApplicationExpression[source]#

The base class for STRIPS expressions that output a boolean value based on a predicate.

Methods

`from_function_application_expression`(expression)
`ground`(variable_dict[, state, negated, ...])	Ground the expression according to the given variable dictionary.
`iter_effect_predicates`()	Iterate over the effect predicate names in the expression.
`iter_precondition_predicates`()	Iterate over the precondition predicate names in the expression.

Attributes

`name`	The name of the predicate.
`arguments`	The arguments of the predicate.
`negated`	Whether the predicate is negated.

__init__(name, negated, arguments)[source]#

Initialize a boolean predicate expression.

Parameters:

name (str) – the name of the predicate.
negated (bool) – whether the predicate is negated.
arguments (Sequence[Variable | str]) – the arguments of the predicate. Either variables or str (constants).

classmethod from_function_application_expression(expression, negated=False)[source]#

Parameters:

ground(variable_dict, state=None, negated=False, return_proposition=False)[source]#

Ground the expression according to the given variable dictionary.

Parameters:

variable_dict (Dict[str, str]) – the variable dictionary.
state (SState | Set[str] | None) – the state to ground the expression on. If None, the expression will be grounded without considering the state.
negated (bool) – whether the predicate is negated.
return_proposition (bool) – whether to return a SProposition instead of a GSSimpleBoolExpression

Returns:

the grounded expression. Will be a GSSimpleBoolExpression if return_proposition is False, otherwise a SProposition.

iter_effect_predicates()#

Iterate over the effect predicate names in the expression.

iter_precondition_predicates()[source]#

Iterate over the precondition predicate names in the expression.