def __init__(self):
Genotype.__init__(self, orig_size_xyz=IND_SIZE)
self.add_network(DirectEncoding(output_node_name="phase_offset",
orig_size_xyz=IND_SIZE,
symmetric=False),
freeze=True)
self.to_phenotype_mapping.add_map(name="phase_offset",
tag="<PhaseOffset>",
logging_stats=None)
self.add_network(CPPN(output_node_names=["shape", "muscleOrTissue"]))
self.to_phenotype_mapping.add_map(
name="material",
tag="<Data>",
func=embedded_pill,
output_type=int,
dependency_order=["shape", "muscleOrTissue"],
logging_stats=None)
self.to_phenotype_mapping.add_output_dependency(name="shape",
dependency_name=None,
requirement=None,
material_if_true=None,
material_if_false="0")
self.to_phenotype_mapping.add_output_dependency(
name="muscleOrTissue",
dependency_name="shape",
requirement=True,
material_if_true="3",
material_if_false="1")
def __init__(self):
Genotype.__init__(self, orig_size_xyz=IND_SIZE)
#Create the network related to the phase_offset (DirectEnconding?)
self.add_network(
DirectEncoding(
output_node_name="phase_offset",
orig_size_xyz=IND_SIZE,
symmetric=False,
# upper_bound=0.5, lower_bound=-0.5
),
freeze=True)
# self.to_phenotype_mapping.add_map(name="phase_offset", tag="<PhaseOffset>", logging_stats=None,
# func=random_like)
# self.add_network(CPPN(output_node_names=["phase_offset"]))
#Map the network in the phenoptic -> it will define the phase_offset in Voxcad
self.to_phenotype_mapping.add_map(name="phase_offset",
tag="<PhaseOffset>",
logging_stats=None)
# self.add_network(CPPN(output_node_names=["frequency", "stiffness"]))
# self.to_phenotype_mapping.add_map(name="frequency", tag="<TempPeriod>", env_kws={"frequency": freq_func})
# self.to_phenotype_mapping.add_map(name="stiffness", tag="<Stiffness>", func=stiff_func,
# params=[MIN_ELASTIC_MOD, MAX_ELASTIC_MOD],
# param_tags=["MinElasticMod", "MaxElasticMod"])
#Create the network responsible to shape and and define if is muscle or tissue (CPPN?)
self.add_network(CPPN(output_node_names=["shape", "muscleOrTissue"]))
#Map the material (after shape and muscle or tissue) -> tag Data?
self.to_phenotype_mapping.add_map(
name="material",
tag="<Data>",
func=make_material_tree,
output_type=int,
dependency_order=["shape", "muscleOrTissue"],
logging_stats=None)
#Add dependency between shape and ??? -> to define the shape of muscles?
self.to_phenotype_mapping.add_output_dependency(name="shape",
dependency_name=None,
requirement=None,
material_if_true=None,
material_if_false="0")
#Add dependency between shape and MuscleOrTissue -> if shape True, material 3(muscle) and if not material 1(tissue) ?? what this means
self.to_phenotype_mapping.add_output_dependency(
name="muscleOrTissue",
dependency_name="shape",
requirement=True,
material_if_true="3",
material_if_false="1")
def __init__(self):
Genotype.__init__(self, orig_size_xyz=IND_SIZE)
self.add_network(
DirectEncoding(
output_node_name="phase_offset",
orig_size_xyz=IND_SIZE,
symmetric=False,
# upper_bound=0.5, lower_bound=-0.5
),
freeze=True)
# self.to_phenotype_mapping.add_map(name="phase_offset", tag="<PhaseOffset>", logging_stats=None,
# func=random_like)
# self.add_network(CPPN(output_node_names=["phase_offset"]))
self.to_phenotype_mapping.add_map(name="phase_offset",
tag="<PhaseOffset>",
logging_stats=None)
# self.add_network(CPPN(output_node_names=["frequency", "stiffness"]))
# self.to_phenotype_mapping.add_map(name="frequency", tag="<TempPeriod>", env_kws={"frequency": freq_func})
# self.to_phenotype_mapping.add_map(name="stiffness", tag="<Stiffness>", func=stiff_func,
# params=[MIN_ELASTIC_MOD, MAX_ELASTIC_MOD],
# param_tags=["MinElasticMod", "MaxElasticMod"])
self.add_network(CPPN(output_node_names=["shape", "muscleOrTissue"]))
self.to_phenotype_mapping.add_map(
name="material",
tag="<Data>",
func=make_material_tree,
output_type=int,
dependency_order=["shape", "muscleOrTissue"],
logging_stats=None)
self.to_phenotype_mapping.add_output_dependency(name="shape",
dependency_name=None,
requirement=None,
material_if_true=None,
material_if_false="0")
self.to_phenotype_mapping.add_output_dependency(
name="muscleOrTissue",
dependency_name="shape",
requirement=True,
material_if_true="3",
material_if_false="1")
def __init__(self):
Genotype.__init__(self, orig_size_xyz=IND_SIZE)
# self.add_network(DirectEncoding(output_node_name="phase_offset", orig_size_xyz=IND_SIZE, symmetric=False),
# freeze=True)
# self.to_phenotype_mapping.add_map(name="phase_offset", tag="<PhaseOffset>", logging_stats=None,
# func=random_like)
self.add_network(CPPN(output_node_names=["phase_offset"]))
self.to_phenotype_mapping.add_map(name="phase_offset",
tag="<PhaseOffset>",
logging_stats=None)
self.add_network(CPPN(output_node_names=["material"]))
self.to_phenotype_mapping.add_map(name="material",
tag="<Data>",
func=one_muscle,
output_type=int,
logging_stats=None)
def __init__(self):
Genotype.__init__(self, orig_size_xyz=IND_SIZE)
self.add_network(DirectEncoding(output_node_name="phase_offset",
orig_size_xyz=IND_SIZE,
symmetric=False),
freeze=True)
self.add_network(DirectEncoding(output_node_name="material",
orig_size_xyz=IND_SIZE,
symmetric=False,
lower_bound=0,
upper_bound=3),
freeze=True)
self.to_phenotype_mapping.add_map(name="phase_offset",
tag="<PhaseOffset>",
logging_stats=None)
self.to_phenotype_mapping.add_map(name="material",
tag="<Data>",
output_type=int,
logging_stats=None)