验证类型注释是一项艰巨的任务。Python不会自动执行此操作，并且编写自己的验证器很困难，因为该typing模块没有提供很多有用的接口。（实际上，typing自从python
3.5引入该模块以来，模块的内部已经发生了很大变化，说实话，这是一个噩梦。）

这是来自我的一个个人项目（代码警告墙）的类型验证器函数：

import inspect
import typing

__all__ = ['is_instance', 'is_subtype', 'python_type', 'is_generic', 'is_base_generic', 'is_qualified_generic']


if hasattr(typing, '_GenericAlias'):
    # python 3.7
    def _is_generic(cls):
        if isinstance(cls, typing._GenericAlias):
            return True

        if isinstance(cls, typing._SpecialForm):
            return cls not in {typing.Any}

        return False


    def _is_base_generic(cls):
        if isinstance(cls, typing._GenericAlias):
            if cls.__origin__ in {typing.Generic, typing._Protocol}:
                return False

            if isinstance(cls, typing._VariadicGenericAlias):
                return True

            return len(cls.__parameters__) > 0

        if isinstance(cls, typing._SpecialForm):
            return cls._name in {'ClassVar', 'Union', 'Optional'}

        return False


    def _get_base_generic(cls):
        # subclasses of Generic will have their _name set to None, but
        # their __origin__ will point to the base generic
        if cls._name is None:
            return cls.__origin__
        else:
            return getattr(typing, cls._name)


    def _get_python_type(cls):
        """
        Like `python_type`, but only works with `typing` classes.
        """
        return cls.__origin__


    def _get_name(cls):
        return cls._name
else:
    # python <3.7
    if hasattr(typing, '_Union'):
        # python 3.6
        def _is_generic(cls):
            if isinstance(cls, (typing.GenericMeta, typing._Union, typing._Optional, typing._ClassVar)):
                return True

            return False


        def _is_base_generic(cls):
            if isinstance(cls, (typing.GenericMeta, typing._Union)):
                return cls.__args__ in {None, ()}

            if isinstance(cls, typing._Optional):
                return True

            return False
    else:
        # python 3.5
        def _is_generic(cls):
            if isinstance(cls, (typing.GenericMeta, typing.UnionMeta, typing.OptionalMeta, typing.CallableMeta, typing.TupleMeta)):
                return True

            return False


        def _is_base_generic(cls):
            if isinstance(cls, typing.GenericMeta):
                return all(isinstance(arg, typing.TypeVar) for arg in cls.__parameters__)

            if isinstance(cls, typing.UnionMeta):
                return cls.__union_params__ is None

            if isinstance(cls, typing.TupleMeta):
                return cls.__tuple_params__ is None

            if isinstance(cls, typing.CallableMeta):
                return cls.__args__ is None

            if isinstance(cls, typing.OptionalMeta):
                return True

            return False


    def _get_base_generic(cls):
        try:
            return cls.__origin__
        except AttributeError:
            pass

        name = type(cls).__name__
        if not name.endswith('Meta'):
            raise NotImplementedError("Cannot determine base of {}".format(cls))

        name = name[:-4]
        return getattr(typing, name)


    def _get_python_type(cls):
        """
        Like `python_type`, but only works with `typing` classes.
        """
        # Many classes actually reference their corresponding abstract base class from the abc module
        # instead of their builtin variant (i.e. typing.List references MutableSequence instead of list).
        # We're interested in the builtin class (if any), so we'll traverse the MRO and look for it there.
        for typ in cls.mro():
            if typ.__module__ == 'builtins' and typ is not object:
                return typ

        try:
            return cls.__extra__
        except AttributeError:
            pass

        if is_qualified_generic(cls):
            cls = get_base_generic(cls)

        if cls is typing.Tuple:
            return tuple

        raise NotImplementedError("Cannot determine python type of {}".format(cls))


    def _get_name(cls):
        try:
            return cls.__name__
        except AttributeError:
            return type(cls).__name__[1:]


if hasattr(typing.List, '__args__'):
    # python 3.6+
    def _get_subtypes(cls):
        subtypes = cls.__args__

        if get_base_generic(cls) is typing.Callable:
            if len(subtypes) != 2 or subtypes[0] is not ...:
                subtypes = (subtypes[:-1], subtypes[-1])

        return subtypes
else:
    # python 3.5
    def _get_subtypes(cls):
        if isinstance(cls, typing.CallableMeta):
            if cls.__args__ is None:
                return ()

            return cls.__args__, cls.__result__

        for name in ['__parameters__', '__union_params__', '__tuple_params__']:
            try:
                subtypes = getattr(cls, name)
                break
            except AttributeError:
                pass
        else:
            raise NotImplementedError("Cannot extract subtypes from {}".format(cls))

        subtypes = [typ for typ in subtypes if not isinstance(typ, typing.TypeVar)]
        return subtypes


def is_generic(cls):
    """
    Detects any kind of generic, for example `List` or `List[int]`. This includes "special" types like
    Union and Tuple - anything that's subscriptable, basically.
    """
    return _is_generic(cls)


def is_base_generic(cls):
    """
    Detects generic base classes, for example `List` (but not `List[int]`)
    """
    return _is_base_generic(cls)


def is_qualified_generic(cls):
    """
    Detects generics with arguments, for example `List[int]` (but not `List`)
    """
    return is_generic(cls) and not is_base_generic(cls)


def get_base_generic(cls):
    if not is_qualified_generic(cls):
        raise TypeError('{} is not a qualified Generic and thus has no base'.format(cls))

    return _get_base_generic(cls)


def get_subtypes(cls):
    return _get_subtypes(cls)


def _instancecheck_iterable(iterable, type_args):
    if len(type_args) != 1:
        raise TypeError("Generic iterables must have exactly 1 type argument; found {}".format(type_args))

    type_ = type_args[0]
    return all(is_instance(val, type_) for val in iterable)


def _instancecheck_mapping(mapping, type_args):
    return _instancecheck_itemsview(mapping.items(), type_args)


def _instancecheck_itemsview(itemsview, type_args):
    if len(type_args) != 2:
        raise TypeError("Generic mappings must have exactly 2 type arguments; found {}".format(type_args))

    key_type, value_type = type_args
    return all(is_instance(key, key_type) and is_instance(val, value_type) for key, val in itemsview)


def _instancecheck_tuple(tup, type_args):
    if len(tup) != len(type_args):
        return False

    return all(is_instance(val, type_) for val, type_ in zip(tup, type_args))


_ORIGIN_TYPE_CHECKERS = {}
for class_path, check_func in {
                        # iterables
                        'typing.Container': _instancecheck_iterable,
                        'typing.Collection': _instancecheck_iterable,
                        'typing.AbstractSet': _instancecheck_iterable,
                        'typing.MutableSet': _instancecheck_iterable,
                        'typing.Sequence': _instancecheck_iterable,
                        'typing.MutableSequence': _instancecheck_iterable,
                        'typing.ByteString': _instancecheck_iterable,
                        'typing.Deque': _instancecheck_iterable,
                        'typing.List': _instancecheck_iterable,
                        'typing.Set': _instancecheck_iterable,
                        'typing.FrozenSet': _instancecheck_iterable,
                        'typing.KeysView': _instancecheck_iterable,
                        'typing.ValuesView': _instancecheck_iterable,
                        'typing.AsyncIterable': _instancecheck_iterable,

                        # mappings
                        'typing.Mapping': _instancecheck_mapping,
                        'typing.MutableMapping': _instancecheck_mapping,
                        'typing.MappingView': _instancecheck_mapping,
                        'typing.ItemsView': _instancecheck_itemsview,
                        'typing.Dict': _instancecheck_mapping,
                        'typing.DefaultDict': _instancecheck_mapping,
                        'typing.Counter': _instancecheck_mapping,
                        'typing.ChainMap': _instancecheck_mapping,

                        # other
                        'typing.Tuple': _instancecheck_tuple,
                    }.items():
    try:
        cls = eval(class_path)
    except AttributeError:
        continue

    _ORIGIN_TYPE_CHECKERS[cls] = check_func


def _instancecheck_callable(value, type_):
    if not callable(value):
        return False

    if is_base_generic(type_):
        return True

    param_types, ret_type = get_subtypes(type_)
    sig = inspect.signature(value)

    missing_annotations = []

    if param_types is not ...:
        if len(param_types) != len(sig.parameters):
            return False

        # FIXME: add support for TypeVars

        # if any of the existing annotations don't match the type, we'll return False.
        # Then, if any annotations are missing, we'll throw an exception.
        for param, expected_type in zip(sig.parameters.values(), param_types):
            param_type = param.annotation
            if param_type is inspect.Parameter.empty:
                missing_annotations.append(param)
                continue

            if not is_subtype(param_type, expected_type):
                return False

    if sig.return_annotation is inspect.Signature.empty:
        missing_annotations.append('return')
    else:
        if not is_subtype(sig.return_annotation, ret_type):
            return False

    if missing_annotations:
        raise ValueError("Missing annotations: {}".format(missing_annotations))

    return True


def _instancecheck_union(value, type_):
    types = get_subtypes(type_)
    return any(is_instance(value, typ) for typ in types)


def _instancecheck_type(value, type_):
    # if it's not a class, return False
    if not isinstance(value, type):
        return False

    if is_base_generic(type_):
        return True

    type_args = get_subtypes(type_)
    if len(type_args) != 1:
        raise TypeError("Type must have exactly 1 type argument; found {}".format(type_args))

    return is_subtype(value, type_args[0])


_SPECIAL_INSTANCE_CHECKERS = {
    'Union': _instancecheck_union,
    'Callable': _instancecheck_callable,
    'Type': _instancecheck_type,
    'Any': lambda v, t: True,
}


def is_instance(obj, type_):
    if type_.__module__ == 'typing':
        if is_qualified_generic(type_):
            base_generic = get_base_generic(type_)
        else:
            base_generic = type_
        name = _get_name(base_generic)

        try:
            validator = _SPECIAL_INSTANCE_CHECKERS[name]
        except KeyError:
            pass
        else:
            return validator(obj, type_)

    if is_base_generic(type_):
        python_type = _get_python_type(type_)
        return isinstance(obj, python_type)

    if is_qualified_generic(type_):
        python_type = _get_python_type(type_)
        if not isinstance(obj, python_type):
            return False

        base = get_base_generic(type_)
        try:
            validator = _ORIGIN_TYPE_CHECKERS[base]
        except KeyError:
            raise NotImplementedError("Cannot perform isinstance check for type {}".format(type_))

        type_args = get_subtypes(type_)
        return validator(obj, type_args)

    return isinstance(obj, type_)


def is_subtype(sub_type, super_type):
    if not is_generic(sub_type):
        python_super = python_type(super_type)
        return issubclass(sub_type, python_super)

    # at this point we know `sub_type` is a generic
    python_sub = python_type(sub_type)
    python_super = python_type(super_type)
    if not issubclass(python_sub, python_super):
        return False

    # at this point we know that `sub_type`'s base type is a subtype of `super_type`'s base type.
    # If `super_type` isn't qualified, then there's nothing more to do.
    if not is_generic(super_type) or is_base_generic(super_type):
        return True

    # at this point we know that `super_type` is a qualified generic... so if `sub_type` isn't
    # qualified, it can't be a subtype.
    if is_base_generic(sub_type):
        return False

    # at this point we know that both types are qualified generics, so we just have to
    # compare their sub-types.
    sub_args = get_subtypes(sub_type)
    super_args = get_subtypes(super_type)
    return all(is_subtype(sub_arg, super_arg) for sub_arg, super_arg in zip(sub_args, super_args))


def python_type(annotation):
    """
    Given a type annotation or a class as input, returns the corresponding python class.

    Examples:

    ::
        >>> python_type(typing.Dict)
        <class 'dict'>
        >>> python_type(typing.List[int])
        <class 'list'>
        >>> python_type(int)
        <class 'int'>
    """
    try:
        mro = annotation.mro()
    except AttributeError:
        # if it doesn't have an mro method, it must be a weird typing object
        return _get_python_type(annotation)

    if Type in mro:
        return annotation.python_type
    elif annotation.__module__ == 'typing':
        return _get_python_type(annotation)
    else:
        return annotation

示范：

>>> is_instance([{'x': 3}], List[Dict[str, int]])
True
>>> is_instance([{'x': 3}, {'y': 7.5}], List[Dict[str, int]])
False

（据我所知，它支持所有python版本，甚至使用typing模块backport的<3.5版本。）