Python subtypes.is_subtype函数代码示例

def join_instances(t: Instance, s: Instance, allow_interfaces: bool,
                   basic: BasicTypes) -> Type:
    """Calculate the join of two instance types.

    If allow_interfaces is True, also consider interface-type results for
    non-interface types.
    
    Return ErrorType if the result is ambiguous.
    """
    
    if t.type == s.type:
        # Simplest case: join two types with the same base type (but
        # potentially different arguments).
        if is_subtype(t, s):
            # Compatible; combine type arguments.
            args = [] # type: List[Type]
            for i in range(len(t.args)):
                args.append(join_types(t.args[i], s.args[i], basic))
            return Instance(t.type, args)
        else:
            # Incompatible; return trivial result object.
            return basic.object
    elif t.type.bases and is_subtype(t, s):
        return join_instances_via_supertype(t, s, allow_interfaces, basic)
    elif s.type.bases:
        return join_instances_via_supertype(s, t, allow_interfaces, basic)
    elif allow_interfaces:
        return join_instances_as_interface(t, s, basic)
    else:
        return basic.object

def join_instances(t: Instance, s: Instance) -> Type:
    """Calculate the join of two instance types.

    If allow_interfaces is True, also consider interface-type results for
    non-interface types.

    Return ErrorType if the result is ambiguous.
    """

    if t.type == s.type:
        # Simplest case: join two types with the same base type (but
        # potentially different arguments).
        if is_subtype(t, s) or is_subtype(s, t):
            # Compatible; combine type arguments.
            args = []  # type: List[Type]
            for i in range(len(t.args)):
                args.append(join_types(t.args[i], s.args[i]))
            return Instance(t.type, args)
        else:
            # Incompatible; return trivial result object.
            return object_from_instance(t)
    elif t.type.bases and is_subtype_ignoring_tvars(t, s):
        return join_instances_via_supertype(t, s)
    else:
        # Now t is not a subtype of s, and t != s. Now s could be a subtype
        # of t; alternatively, we need to find a common supertype. This works
        # in of the both cases.
        return join_instances_via_supertype(s, t)

    def test_is_proper_subtype_and_subtype_literal_types(self) -> None:
        fx = self.fx

        lit1 = LiteralType(1, fx.a)
        lit2 = LiteralType("foo", fx.d)
        lit3 = LiteralType("bar", fx.d)

        assert_true(is_proper_subtype(lit1, fx.a))
        assert_false(is_proper_subtype(lit1, fx.d))
        assert_false(is_proper_subtype(fx.a, lit1))
        assert_true(is_proper_subtype(fx.uninhabited, lit1))
        assert_false(is_proper_subtype(lit1, fx.uninhabited))
        assert_true(is_proper_subtype(lit1, lit1))
        assert_false(is_proper_subtype(lit1, lit2))
        assert_false(is_proper_subtype(lit2, lit3))

        assert_true(is_subtype(lit1, fx.a))
        assert_false(is_subtype(lit1, fx.d))
        assert_false(is_subtype(fx.a, lit1))
        assert_true(is_subtype(fx.uninhabited, lit1))
        assert_false(is_subtype(lit1, fx.uninhabited))
        assert_true(is_subtype(lit1, lit1))
        assert_false(is_subtype(lit1, lit2))
        assert_false(is_subtype(lit2, lit3))

        assert_false(is_proper_subtype(lit1, fx.anyt))
        assert_false(is_proper_subtype(fx.anyt, lit1))

        assert_true(is_subtype(lit1, fx.anyt))
        assert_true(is_subtype(fx.anyt, lit1))

 def visit_instance(self, t: Instance) -> Type:
     if isinstance(self.s, Instance):
         si = self.s
         if t.type == si.type:
             if is_subtype(t, self.s) or is_subtype(self.s, t):
                 # Combine type arguments. We could have used join below
                 # equivalently.
                 args = []  # type: List[Type]
                 for i in range(len(t.args)):
                     args.append(self.meet(t.args[i], si.args[i]))
                 return Instance(t.type, args)
             else:
                 if experiments.STRICT_OPTIONAL:
                     return UninhabitedType()
                 else:
                     return NoneTyp()
         else:
             if is_subtype(t, self.s):
                 return t
             elif is_subtype(self.s, t):
                 # See also above comment.
                 return self.s
             else:
                 if experiments.STRICT_OPTIONAL:
                     return UninhabitedType()
                 else:
                     return NoneTyp()
     elif isinstance(self.s, TypeType):
         return meet_types(t, self.s)
     else:
         return self.default(self.s)

def array_constructor_callback(ctx: 'mypy.plugin.FunctionContext') -> Type:
    """Callback to provide an accurate signature for the ctypes.Array constructor."""
    # Extract the element type from the constructor's return type, i. e. the type of the array
    # being constructed.
    et = _get_array_element_type(ctx.default_return_type)
    if et is not None:
        allowed = _autoconvertible_to_cdata(et, ctx.api)
        assert len(ctx.arg_types) == 1, \
            "The stub of the ctypes.Array constructor should have a single vararg parameter"
        for arg_num, (arg_kind, arg_type) in enumerate(zip(ctx.arg_kinds[0], ctx.arg_types[0]), 1):
            if arg_kind == nodes.ARG_POS and not is_subtype(arg_type, allowed):
                ctx.api.msg.fail(
                    'Array constructor argument {} of type "{}"'
                    ' is not convertible to the array element type "{}"'
                    .format(arg_num, arg_type, et),
                    ctx.context)
            elif arg_kind == nodes.ARG_STAR:
                ty = ctx.api.named_generic_type("typing.Iterable", [allowed])
                if not is_subtype(arg_type, ty):
                    ctx.api.msg.fail(
                        'Array constructor argument {} of type "{}"'
                        ' is not convertible to the array element type "Iterable[{}]"'
                        .format(arg_num, arg_type, et),
                        ctx.context)

    return ctx.default_return_type

def join_simple(declaration: Type, s: Type, t: Type) -> Type:
    """Return a simple least upper bound given the declared type."""

    if isinstance(s, AnyType):
        return s

    if isinstance(s, NoneTyp) and not isinstance(t, Void):
        return t

    if isinstance(s, ErasedType):
        return t

    if is_subtype(s, t):
        return t

    if is_subtype(t, s):
        return s

    if isinstance(declaration, UnionType):
        return UnionType.make_simplified_union([s, t])

    value = t.accept(TypeJoinVisitor(s))

    if value is None:
        # XXX this code path probably should be avoided.
        # It seems to happen when a line (x = y) is a type error, and
        # it's not clear that assuming that x is arbitrary afterward
        # is a good idea.
        return declaration

    if declaration is None or is_subtype(value, declaration):
        return value

    return declaration

def meet_simple_away(s: Type, t: Type) -> Type:
    if isinstance(s, UnionType):
        return UnionType.make_simplified_union([x for x in s.items
                                                if not is_subtype(x, t)])
    elif not isinstance(s, AnyType) and is_subtype(s, t):
        return Void()
    else:
        return s

 def assert_simple_join(self, s: Type, t: Type, join: Type) -> None:
     result = join_types(s, t)
     actual = str(result)
     expected = str(join)
     assert_equal(actual, expected,
                  'join({}, {}) == {{}} ({{}} expected)'.format(s, t))
     assert_true(is_subtype(s, result),
                 '{} not subtype of {}'.format(s, result))
     assert_true(is_subtype(t, result),
                 '{} not subtype of {}'.format(t, result))

 def assert_simple_meet(self, s: Type, t: Type, meet: Type) -> None:
     result = meet_types(s, t)
     actual = str(result)
     expected = str(meet)
     assert_equal(actual, expected,
                  'meet({}, {}) == {{}} ({{}} expected)'.format(s, t))
     assert_true(is_subtype(result, s),
                 '{} not subtype of {}'.format(result, s))
     assert_true(is_subtype(result, t),
                 '{} not subtype of {}'.format(result, t))

 def assert_simple_meet(self, s, t, meet):
     result = meet_types(s, t)
     actual = str(result)
     expected = str(meet)
     assert_equal(actual, expected,
                  'meet({}, {}) == {{}} ({{}} expected)'.format(s, t))
     if not isinstance(s, ErrorType) and not isinstance(result, ErrorType):
         assert_true(is_subtype(result, s),
                     '{} not subtype of {}'.format(result, s))
     if not isinstance(t, ErrorType) and not isinstance(result, ErrorType):
         assert_true(is_subtype(result, t),
                     '{} not subtype of {}'.format(result, t))

 def assert_simple_join(self, s, t, join):
     result = join_types(s, t)
     actual = str(result)
     expected = str(join)
     assert_equal(actual, expected,
                  'join({}, {}) == {{}} ({{}} expected)'.format(s, t))
     if not isinstance(s, ErrorType) and not isinstance(result, ErrorType):
         assert_true(is_subtype(s, result),
                     '{} not subtype of {}'.format(s, result))
     if not isinstance(t, ErrorType) and not isinstance(result, ErrorType):
         assert_true(is_subtype(t, result),
                     '{} not subtype of {}'.format(t, result))

 def visit_literal_type(self, t: LiteralType) -> Type:
     if isinstance(self.s, LiteralType) and self.s == t:
         return t
     elif isinstance(self.s, Instance) and is_subtype(t.fallback, self.s):
         return t
     else:
         return self.default(self.s)

 def check_exception_type(self, info, context):
     t = Instance(info, [])
     if is_subtype(t, self.named_type('builtins.BaseException')):
         return t
     else:
         self.fail(messages.INVALID_EXCEPTION_TYPE, context)
         return Any()

def check_self_arg(functype: FunctionLike,
                   dispatched_arg_type: Type,
                   is_classmethod: bool,
                   context: Context, name: str,
                   msg: MessageBuilder) -> None:
    """For x.f where A.f: A1 -> T, check that meet(type(x), A) <: A1 for each overload.

    dispatched_arg_type is meet(B, A) in the following example

        def g(x: B): x.f
        class A:
            f: Callable[[A1], None]
    """
    # TODO: this is too strict. We can return filtered overloads for matching definitions
    for item in functype.items():
        if not item.arg_types or item.arg_kinds[0] not in (ARG_POS, ARG_STAR):
            # No positional first (self) argument (*args is okay).
            msg.no_formal_self(name, item, context)
        else:
            selfarg = item.arg_types[0]
            if is_classmethod:
                dispatched_arg_type = TypeType.make_normalized(dispatched_arg_type)
            if not subtypes.is_subtype(dispatched_arg_type, erase_to_bound(selfarg)):
                msg.incompatible_self_argument(name, dispatched_arg_type, item,
                                               is_classmethod, context)

def check_method_type(functype: FunctionLike, itype: Instance, is_classmethod: bool,
                      context: Context, msg: MessageBuilder) -> None:
    for item in functype.items():
        if not item.arg_types or item.arg_kinds[0] not in (ARG_POS, ARG_STAR):
            # No positional first (self) argument (*args is okay).
            msg.invalid_method_type(item, context)
        elif not is_classmethod:
            # Check that self argument has type 'Any' or valid instance type.
            selfarg = item.arg_types[0]
            # If this is a method of a tuple class, correct for the fact that
            # we passed to typ.fallback in analyze_member_access. See #1432.
            if isinstance(selfarg, TupleType):
                selfarg = selfarg.fallback
            if not subtypes.is_subtype(selfarg, itype):
                msg.invalid_method_type(item, context)
        else:
            # Check that cls argument has type 'Any' or valid class type.
            # (This is sufficient for the current treatment of @classmethod,
            # but probably needs to be revisited when we implement Type[C]
            # or advanced variants of it like Type[<args>, C].)
            clsarg = item.arg_types[0]
            if isinstance(clsarg, CallableType) and clsarg.is_type_obj():
                if not subtypes.is_equivalent(clsarg.ret_type, itype):
                    msg.invalid_class_method_type(item, context)
            else:
                if not subtypes.is_equivalent(clsarg, AnyType()):
                    msg.invalid_class_method_type(item, context)