def __init__(self,
n_inputs: int,
instruction_set: Union[InstructionSet, str],
literals: Sequence[Any],
erc_generators: Sequence[Callable],
distribution: DiscreteProbDistrib = "proportional"):
self.n_inputs = n_inputs
self.erc_generators = erc_generators
self.instruction_set = instruction_set
if self.instruction_set == "core":
self.instruction_set = InstructionSet(register_core=True)
self.type_library = self.instruction_set.type_library
self.literals = [
lit if isinstance(lit, Literal) else infer_literal(
lit, self.type_library) for lit in literals
]
if distribution == "proportional":
self.distribution = (DiscreteProbDistrib().add(
GeneTypes.INPUT, self.n_inputs).add(
GeneTypes.INSTRUCTION, len(self.instruction_set)).add(
GeneTypes.CLOSE,
sum([
i.code_blocks
for i in self.instruction_set.values()
])).add(GeneTypes.LITERAL,
len(literals)).add(GeneTypes.ERC,
len(erc_generators)))
else:
self.distribution = distribution
def random_erc(self) -> Literal:
"""Materialize a random ERC generator into a Literal and return it.
Returns
-------
pushgp.push.atoms.Literal
A Literal whose value comes from running a ERC generator function.
"""
erc_value = np.random.choice(self.erc_generators)()
if not isinstance(erc_value, Literal):
erc_value = infer_literal(erc_value, self.type_library)
return erc_value
def random_literal(self) -> Literal:
"""Return a random Literal from the set of Literals.
Returns
-------
pushgp.push.atoms.Literal
A randomly selected Literal.
"""
lit = np.random.choice(self.literals)
if not isinstance(lit, Literal):
lit = infer_literal(lit, self.type_library)
return lit
def random_erc(self) -> Literal:
"""Materialize a random ERC generator into a Literal and return it.
Returns
-------
pyshgp.push.atoms.Literal
A Literal whose value comes from running a ERC generator function.
"""
erc_value = np.random.choice(self.erc_generators)()
if not isinstance(erc_value, Literal):
erc_value = infer_literal(erc_value, self.type_library)
return erc_value
def random_literal(self) -> Literal:
"""Return a random Literal from the set of Literals.
Returns
-------
pyshgp.push.atoms.Literal
A randomly selected Literal.
"""
lit = np.random.choice(self.literals)
if not isinstance(lit, Literal):
lit = infer_literal(lit, self.type_library)
return lit
def __init__(self,
instruction_set: InstructionSet,
literals: Sequence[Union[Literal, Any]],
erc_generators: Sequence[Callable],
distribution: DiscreteProbDistrib = "proportional"):
self.instruction_set = instruction_set
self.type_library = instruction_set.type_library
self.literals = [lit if isinstance(lit, Literal) else infer_literal(lit, self.type_library) for lit in literals]
self.erc_generators = erc_generators
if distribution == "proportional":
self.distribution = (
DiscreteProbDistrib()
.add("instruction", len(instruction_set))
.add("close", sum([i.code_blocks for i in instruction_set.values()]))
.add("literal", len(literals))
.add("erc", len(erc_generators))
)
else:
self.distribution = distribution
def test_infer_literal():
lib = PushTypeLibrary()
assert infer_literal(5, lib) == Literal(value=5, push_type=PushInt)
assert infer_literal(False, lib) == Literal(value=False,
push_type=PushBool)
assert infer_literal("", lib) == Literal(value="", push_type=PushStr)
def test_infer_literal():
lib = PushTypeLibrary()
assert infer_literal(5, lib) == Literal(5, PushInt)
assert infer_literal(False, lib) == Literal(False, PushBool)
assert infer_literal("", lib) == Literal("", PushStr)