geneticengine.solutions
Submodules
Package Contents
Classes
Base class for protocol classes. |
|
Abstract base class for generic types. |
Attributes
- class geneticengine.solutions.TreeNode
Bases:
Protocol
Base class for protocol classes.
Protocol classes are defined as:
class Proto(Protocol): def meth(self) -> int: ...
Such classes are primarily used with static type checkers that recognize structural subtyping (static duck-typing), for example:
class C: def meth(self) -> int: return 0 def func(x: Proto) -> int: return x.meth() func(C()) # Passes static type check
See PEP 544 for details. Protocol classes decorated with @typing.runtime_checkable act as simple-minded runtime protocols that check only the presence of given attributes, ignoring their type signatures. Protocol classes can be generic, they are defined as:
class GenProto(Protocol[T]): def meth(self) -> T: ...
- gengy_labeled: bool
- gengy_distance_to_term: int
- gengy_nodes: int
- gengy_weighted_nodes: int
- gengy_types_this_way: dict[type, list[Any]]
- gengy_init_values: tuple[Any]
- class geneticengine.solutions.Individual(genotype, representation, metadata=None)
Bases:
Generic
[G
,P
]Abstract base class for generic types.
A generic type is typically declared by inheriting from this class parameterized with one or more type variables. For example, a generic mapping type might be defined as:
class Mapping(Generic[KT, VT]): def __getitem__(self, key: KT) -> VT: ... # Etc.
This class can then be used as follows:
def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT: try: return mapping[key] except KeyError: return default
- Parameters:
genotype (G)
representation (geneticengine.representations.api.Representation[G, P])
metadata (dict[str, Any])
- genotype: G
- representation: geneticengine.representations.api.Representation[G, P]
- phenotype: P | None
- fitness_store: weakref.WeakKeyDictionary[geneticengine.problems.Problem, geneticengine.problems.Fitness]
- metadata: dict[str, Any]
- get_phenotype()
- has_fitness(problem)
- Parameters:
problem (geneticengine.problems.Problem)
- Return type:
bool
- set_fitness(problem, fitness)
- Parameters:
problem (geneticengine.problems.Problem)
fitness (geneticengine.problems.Fitness)
- get_fitness(problem=None)
- Parameters:
problem (geneticengine.problems.Problem | None)
- Return type:
- ensure_fitness(problem)
- Parameters:
problem (geneticengine.problems.Problem)
- static key_function(problem)
- Parameters:
problem (geneticengine.problems.Problem)
- __str__()
Return str(self).
- Return type:
str
- geneticengine.solutions.__ALL__