Python common.Registrable方法代碼示例

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_dict(self):

        from allennlp.common.registrable import Registrable

        class A(Registrable):
            pass

        @A.register("b")
        class B(A):
            def __init__(self, size: int) -> None:
                self.size = size

        class C(Registrable):
            pass

        @C.register("d")
        class D(C):
            def __init__(self, items: Dict[str, A]) -> None:
                self.items = items

        params = Params(
            {
                "type": "d",
                "items": {"first": {"type": "b", "size": 1}, "second": {"type": "b", "size": 2}},
            }
        )
        d = C.from_params(params)

        assert isinstance(d.items, dict)
        assert len(d.items) == 2
        assert all(isinstance(key, str) for key in d.items.keys())
        assert all(isinstance(value, B) for value in d.items.values())
        assert d.items["first"].size == 1
        assert d.items["second"].size == 2 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_list(self):

        from allennlp.common.registrable import Registrable

        class A(Registrable):
            pass

        @A.register("b")
        class B(A):
            def __init__(self, size: int) -> None:
                self.size = size

        class C(Registrable):
            pass

        @C.register("d")
        class D(C):
            def __init__(self, items: List[A]) -> None:
                self.items = items

        params = Params(
            {"type": "d", "items": [{"type": "b", "size": 1}, {"type": "b", "size": 2}]}
        )
        d = C.from_params(params)

        assert isinstance(d.items, list)
        assert len(d.items) == 2
        assert all(isinstance(item, B) for item in d.items)
        assert d.items[0].size == 1
        assert d.items[1].size == 2 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_tuple(self):

        from allennlp.common.registrable import Registrable

        class A(Registrable):
            pass

        @A.register("b")
        class B(A):
            def __init__(self, size: int) -> None:
                self.size = size

        class C(Registrable):
            pass

        @C.register("d")
        class D(C):
            def __init__(self, name: str) -> None:
                self.name = name

        class E(Registrable):
            pass

        @E.register("f")
        class F(E):
            def __init__(self, items: Tuple[A, C]) -> None:
                self.items = items

        params = Params(
            {"type": "f", "items": [{"type": "b", "size": 1}, {"type": "d", "name": "item2"}]}
        )
        f = E.from_params(params)

        assert isinstance(f.items, tuple)
        assert len(f.items) == 2
        assert isinstance(f.items[0], B)
        assert isinstance(f.items[1], D)
        assert f.items[0].size == 1
        assert f.items[1].name == "item2" 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_kwargs_with_multiple_inheritance(self):
        # Basic idea: have two identical classes, differing only in the order of their multiple
        # inheritance, and make sure that passing kwargs up to the super class works in both cases.
        class A(Registrable):
            def __init__(self, a: int):
                self.a = a

        from numbers import Number

        @A.register("b1")
        class B1(A, Number):
            def __init__(self, b: float, **kwargs):
                super().__init__(**kwargs)
                self.b = b

        @A.register("b2")
        class B2(Number, A):
            def __init__(self, b: float, **kwargs):
                super().__init__(**kwargs)
                self.b = b

        b = B1.from_params(params=Params({"a": 4, "b": 5}))
        assert b.b == 5
        assert b.a == 4

        b = B2.from_params(params=Params({"a": 4, "b": 5}))
        assert b.b == 5
        assert b.a == 4 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_only_infer_superclass_params_if_unknown(self):

        from allennlp.common.registrable import Registrable

        class BaseClass(Registrable):
            def __init__(self):
                self.x = None
                self.a = None
                self.rest = None

        @BaseClass.register("a")
        class A(BaseClass):
            def __init__(self, a: int, x: int, **kwargs):
                super().__init__()
                self.x = x
                self.a = a
                self.rest = kwargs

        @BaseClass.register("b")
        class B(A):
            def __init__(self, a: str, x: int = 42, **kwargs):
                super().__init__(x=x, a=-1, raw_a=a, **kwargs)

        params = Params({"type": "b", "a": "123"})
        # The param `x` should not be required as it has default value in `B`
        # The correct type of the param `a` should be inferred from `B` as well.
        instance = BaseClass.from_params(params)
        assert instance.x == 42
        assert instance.a == -1
        assert len(instance.rest) == 1
        assert type(instance.rest["raw_a"]) == str
        assert instance.rest["raw_a"] == "123" 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_kwargs_are_passed_to_deeper_superclasses(self):

        from allennlp.common.registrable import Registrable

        class BaseClass(Registrable):
            def __init__(self):
                self.a = None
                self.b = None
                self.c = None

        @BaseClass.register("a")
        class A(BaseClass):
            def __init__(self, a: str):
                super().__init__()
                self.a = a

        @BaseClass.register("b")
        class B(A):
            def __init__(self, b: str, **kwargs):
                super().__init__(**kwargs)
                self.b = b

        @BaseClass.register("c")
        class C(B):
            def __init__(self, c, **kwargs):
                super().__init__(**kwargs)
                self.c = c

        params = Params({"type": "c", "a": "a_value", "b": "b_value", "c": "c_value"})

        instance = BaseClass.from_params(params)
        assert instance.a == "a_value"
        assert instance.b == "b_value"
        assert instance.c == "c_value" 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_iterable(self):
        from allennlp.common.registrable import Registrable

        class A(Registrable):
            pass

        @A.register("b")
        class B(A):
            def __init__(self, size: int) -> None:
                self.size = size

        class C(Registrable):
            pass

        @C.register("d")
        class D(C):
            def __init__(self, items: Iterable[A]) -> None:
                self.items = items

        params = Params(
            {"type": "d", "items": [{"type": "b", "size": 1}, {"type": "b", "size": 2}]}
        )
        d = C.from_params(params)

        assert isinstance(d.items, Iterable)
        items = list(d.items)
        assert len(items) == 2
        assert all(isinstance(item, B) for item in items)
        assert items[0].size == 1
        assert items[1].size == 2 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_mapping(self):
        from allennlp.common.registrable import Registrable

        class A(Registrable):
            pass

        @A.register("b")
        class B(A):
            def __init__(self, size: int) -> None:
                self.size = size

        class C(Registrable):
            pass

        @C.register("d")
        class D(C):
            def __init__(self, items: Mapping[str, A]) -> None:
                self.items = items

        params = Params(
            {
                "type": "d",
                "items": {"first": {"type": "b", "size": 1}, "second": {"type": "b", "size": 2}},
            }
        )
        d = C.from_params(params)

        assert isinstance(d.items, Mapping)
        assert len(d.items) == 2
        assert all(isinstance(key, str) for key in d.items.keys())
        assert all(isinstance(value, B) for value in d.items.values())
        assert d.items["first"].size == 1
        assert d.items["second"].size == 2 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_extras(self):
        from allennlp.common.registrable import Registrable

        class A(Registrable):
            pass

        @A.register("b")
        class B(A):
            def __init__(self, size: int, name: str) -> None:
                self.size = size
                self.name = name

        @A.register("c")
        class C(A):
            def __init__(self, size: int, name: str) -> None:
                self.size = size
                self.name = name

            # custom from params
            @classmethod
            def from_params(cls, params: Params, size: int, **extras) -> "C":  # type: ignore
                name = params.pop("name")
                return cls(size=size, name=name)

        # Check that extras get passed, even though A doesn't need them.
        params = Params({"type": "b", "size": 10})
        b = A.from_params(params, name="extra")

        assert b.name == "extra"
        assert b.size == 10

        # Check that extra extras don't get passed.
        params = Params({"type": "b", "size": 10})
        b = A.from_params(params, name="extra", unwanted=True)

        assert b.name == "extra"
        assert b.size == 10

        # Now the same with a custom from_params.
        params = Params({"type": "c", "name": "extra_c"})
        c = A.from_params(params, size=20)
        assert c.name == "extra_c"
        assert c.size == 20

        # Check that extra extras don't get passed.
        params = Params({"type": "c", "name": "extra_c"})
        c = A.from_params(params, size=20, unwanted=True)

        assert c.name == "extra_c"
        assert c.size == 20 

# 需要導入模塊: from allennlp import common [as 別名]
# 或者: from allennlp.common import Registrable [as 別名]
def test_set(self):

        from allennlp.common.registrable import Registrable

        class A(Registrable):
            def __init__(self, name: str) -> None:
                self.name = name

            def __eq__(self, other):
                return self.name == other.name

            def __hash__(self):
                return hash(self.name)

        @A.register("b")
        class B(A):
            pass

        class C(Registrable):
            pass

        @C.register("d")
        class D(C):
            def __init__(self, items: Set[A]) -> None:
                self.items = items

        params = Params(
            {
                "type": "d",
                "items": [
                    {"type": "b", "name": "item1"},
                    {"type": "b", "name": "item2"},
                    {"type": "b", "name": "item2"},
                ],
            }
        )
        d = C.from_params(params)

        assert isinstance(d.items, set)
        assert len(d.items) == 2
        assert all(isinstance(item, B) for item in d.items)
        assert any(item.name == "item1" for item in d.items)
        assert any(item.name == "item2" for item in d.items)