configuration_space.py 文件源码

def __init__(self, seed: Union[int, None] = None) -> None:
        self._hyperparameters = OrderedDict()  # type: OrderedDict[str, Hyperparameter]
        self._hyperparameter_idx = dict()  # type: Dict[str, int]
        self._idx_to_hyperparameter = dict()  # type: Dict[int, str]

        # Use dictionaries to make sure that we don't accidently add
        # additional keys to these mappings (which happened with defaultdict()).
        # This once broke auto-sklearn's equal comparison of configuration
        # spaces when _children of one instance contained  all possible
        # hyperparameters as keys and empty dictionaries as values while the
        # other instance not containing these.
        self._children = OrderedDict()   # type: OrderedDict[str, OrderedDict[str, Union[None, AbstractCondition]]]
        self._parents = OrderedDict()   # type: OrderedDict[str, OrderedDict[str, Union[None, AbstractCondition]]]

        # changing this to a normal dict will break sampling because there is
        #  no guarantee that the parent of a condition was evaluated before
        self._conditionals = set()   # type: Set[str]
        self.forbidden_clauses = []  # type: List['AbstractForbiddenComponent']
        self.random = np.random.RandomState(seed)

        self._children['__HPOlib_configuration_space_root__'] = OrderedDict()

        # caching
        self._parent_conditions_of = dict()
        self._child_conditions_of = dict()
        self._parents_of = dict()
        self._children_of = dict()