Can you add your example to the issue? https://github.com/ambv/typehinting/issues/107

We're trying to finish up PEP 484 in the next few days (wait for an announcement :-) and we just don't have time for every use case; but over the course of 3.5 we will be adding features that are considered useful, and we'll keep the issue open to remind us of it. Until then you'll have to use plain "type" as the annotation (still better than "Any". :-)

On Mon, May 18, 2015 at 11:01 AM, Alex Grönholm <alex.gronholm@nextday.fi> wrote:


18.05.2015, 18:05, Guido van Rossum kirjoitti:
On Mon, May 18, 2015 at 12:14 AM, Alex Grönholm <alex.gronholm@nextday.fi> wrote:


18.05.2015, 02:50, Guido van Rossum kirjoitti:
On Sun, May 17, 2015 at 3:07 PM, Alex Grönholm <alex.gronholm@nextday.fi> wrote:
Looking at PEP 484, I came up with two use cases that I felt were not catered for:
  1. Specifying that a parameter should be a subclass of another (example: Type[dict] would match dict or OrderedDict; plain "Type" would equal "type" from builtins)

I don't understand. What is "Type"? Can you work this out in a full example? This code is already okay:

def foo(a: dict):
    ...

foo(OrderedDict())
This code is passing an instance of OrderedDict. But how can I specify that foo() accepts a subclass of dict, and not an instance thereof?

A full example:

def foo(a: Type[dict]):
    ...

foo(dict)  # ok
foo(OrderedDict)  # ok
foo({'x': 1})  # error

You want the argument to be a *class*. We currently don't support that beyond using 'type' as the annotation. We may get to this in a future version; it is relatively uncommon. As to what notation to use, perhaps it would make more sense to use Class and Class[dict], since in the world of PEP 484, a class is a concrete thing that you can instantiate, while a type is an abstraction used to describe the possible values of a variable/argument/etc.

Also, what you gave is still not a full example, since you don't show what you are going to do with that type. Not every class can be easily instantiated (without knowing the specific signature). So if you were planning to instantiate it, perhaps you should use Callable[..., dict] as the type instead. (The ellipsis is not yet supported by mypy -- https://github.com/JukkaL/mypy/issues/393 -- but it is allowed by the PEP.)
Here's one example, straight from the code of my new framework:

@typechecked
def register_extension_type(ext_type: str, extension_class: type, replace: bool=False):

    """
    Adds a new extension type that can be used with a dictionary based configuration.

    :param ext_type: the extension type identifier
    :param extension_class: a class that implements IExtension
    :param replace: ``True`` to replace an existing type
    """

    assert_subclass('extension_class', extension_class, IExtension)
    if ext_type in extension_types and not replace:
        raise ValueError('Extension type "{}" already exists'.format(ext_type))

    extension_types[ext_type] = extension_class

I would like to declare the second argument as "extension_class: Type[IExtension]" (or Class[IExtension], doesn't matter to me). Likewise, the type hint for "extension_types" should be "Dict[str, Type[IExtension]]".
 
 
  1. Specifying that a callable should take at least the specified arguments but would not be limited to them: Callable[[str, int, ...], Any]

Case #2 works already (Callable[[str, int], Any] if the unspecified arguments are optional, but not if they're mandatory. Any thoughts?

For #2 we explicitly debated this and found that there aren't use cases known that are strong enough to need additional flexibility in the args of a callable. (How is the code calling the callable going to know what arguments are safe to pass?) If there really is a need we can address in a future revision.
Consider a framework where a request handler always takes a Request object as its first argument, but the rest of the arguments could be anything. If you want to only allow registration of such callables, you could do this:

def calculate_sum(request: Request, *values):
   return sum(values)

def register_request_handler(handler: Callable[[Request, ...], Any]):
   ...

Hm... Yeah, you'd be stuck with using Callable[..., Any] for now. Maybe in a future version of the PEP. (We can't boil the ocean of typing in one PEP. :-)

--
--Guido van Rossum (python.org/~guido)


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--Guido van Rossum (python.org/~guido)