concepts.pdsketch.operator.MacroOperator

class MacroOperator

Bases: OperatorBase

Methods

pddl_str()

Return the PDDL representation of the operator.

Attributes

is_axiom	Whether the operator is an axiom.
is_extended_macro	Whether this macro operator is an extended macro.
is_macro	Whether this operator is a macro operator.
is_primitive	Whether this operator is a primitive operator.
nr_arguments	The number of arguments of the operator.
name	The name of the macro operator.
arguments	The list of arguments of the macro operator.
sub_operators	The list of sub operators of the macro operator.
preconditions	The list of preconditions of the macro operator (only used for extended macros).
effects	The list of effects of the macro operator (only used for extended macros).

__call__(*args)

Ground the operator with a list of arguments.

Return type:

OperatorApplier

__init__(name, arguments, sub_operators, preconditions=tuple(), effects=tuple())

Parameters:

• name (str)

• arguments (Sequence[Variable])

• sub_operators (Sequence[OperatorApplier])

• preconditions (Sequence[Precondition])

• effects (Sequence[Effect])

__new__(**kwargs)

pddl_str()

Return the PDDL representation of the operator.

Return type:

str

arguments: Tuple[Variable, ...]

The list of arguments of the macro operator.

effects: Tuple[Effect, ...]

The list of effects of the macro operator (only used for extended macros).

property is_axiom: bool

Whether the operator is an axiom.

property is_extended_macro: bool

Whether this macro operator is an extended macro.

property is_macro: bool

Whether this operator is a macro operator.

property is_primitive: bool

Whether this operator is a primitive operator.

name: str

The name of the macro operator.

property nr_arguments: int

The number of arguments of the operator.

preconditions: Tuple[Precondition, ...]

The list of preconditions of the macro operator (only used for extended macros).

sub_operators: Tuple[OperatorApplier, ...]

The list of sub operators of the macro operator.