Improve help() by making typing.overload() information accessible at runtime

[rhettinger]

BPO	45100
Nosy	@gvanrossum, @rhettinger, @ronaldoussoren, @JelleZijlstra, @TeamSpen210, @sobolevn, @Fidget-Spinner, @AlexWaygood, @DiddiLeija
PRs	gh-89263: Add typing.get_overloads #31716

^{Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.}

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GitHub fields:

assignee = None
closed_at = None
created_at = <Date 2021-09-04.18:03:28.637>
labels = ['3.11']
title = 'Improve help() by making typing.overload() information accessible at runtime'
updated_at = <Date 2022-03-28.22:36:21.459>
user = 'https://github.com/rhettinger'

bugs.python.org fields:

activity = <Date 2022-03-28.22:36:21.459>
actor = 'gvanrossum'
assignee = 'none'
closed = False
closed_date = None
closer = None
components = []
creation = <Date 2021-09-04.18:03:28.637>
creator = 'rhettinger'
dependencies = []
files = []
hgrepos = []
issue_num = 45100
keywords = ['patch']
message_count = 14.0
messages = ['401052', '401074', '401080', '401094', '401097', '413677', '413678', '413684', '413685', '413695', '413751', '414561', '414566', '416226']
nosy_count = 9.0
nosy_names = ['gvanrossum', 'rhettinger', 'ronaldoussoren', 'JelleZijlstra', 'Spencer Brown', 'sobolevn', 'kj', 'AlexWaygood', 'DiddiLeija']
pr_nums = ['31716']
priority = 'normal'
resolution = None
stage = 'patch review'
status = 'open'
superseder = None
type = None
url = 'https://bugs.python.org/issue45100'
versions = ['Python 3.11']

[rhettinger]

Python's help() function does not display overloaded function signatures.

For example, this code:

 from typing import Union

 class Smudge(str):

 @overload
 def __getitem__(self, index: int) -> str:
 ...

 @overload
 def __getitem__(self, index: slice) -> 'Smudge':
 ...

 def __getitem__(self, index: Union[int, slice]) -> Union[str, 'Smudge']:
 'Return a smudged character or characters.' 
 if isinstance(index, slice):
 start, stop, step = index.indices(len(self))
 values = [self[i] for i in range(start, stop, step)]
 return Smudge(''.join(values))
 c = super().__getitem__(index)
 return chr(ord(c) ^ 1)

Currently gives this help:

__getitem__(self, index: Union[int, slice]) -> Union[str, ForwardRef('Smudge')]
 Return a smudged character or characters.

What is desired is:

__getitem__(self, index: int) -> str
__getitem__(self, index: slice) -> ForwardRef('Smudge')
 Return a smudged character or characters.

The overload() decorator is sufficient for informing a static type checker but insufficient for informing a user or editing tool.

[ronaldoussoren]

I agree that this would be nice to have, but wonder how help() could access that information. The two @overload definitions will be overwritten by the non-overload one at runtime, and hence will ever been seen by help().

[AlexWaygood]

There is a similar issue with functools.singledispatch

>>> from functools import singledispatch
>>> @singledispatch
... def flip(x: str) -> int:
... 	"""Signature when given a string"""
... 	return int(x)
... 
>>> @flip.register
... def _(x: int) -> str:
... 	"""Signature when given an int"""
... 	return str(x)
... 
>>> flip(5)
'5'
>>> flip('5')
5
>>> help(flip)
Help on function flip in module __main__:
flip(x: str) -> int
 Signature when given a string

[rhettinger]

The two @overload definitions will be overwritten by
the non-overload one at runtime, and hence will ever
been seen by help().

We can fix this by adding an __overloads__ attribute. The overload decorator can accumulate the chain in an external namespace and function creation can move that accumulation into the new attribute.

----- Proof of concept -----

from typing import Union, _overload_dummy

def create_function(func):
 namespace = func.__globals__
 key = f'__overload__{func.__qualname__}__'
 func.__overloads__ = namespace.pop(key, [])
 return func

def overload(func):
 namespace = func.__globals__
 key = f'__overload__{func.__qualname__}__'
 namespace[key] = func.__overloads__ + [func.__annotations__]
 return _overload_dummy

class Smudge(str):

 @overload
 @create_function
 def __getitem__(self, index: int) -> str:
 ...

 @overload
 @create_function
 def __getitem__(self, index: slice) -> 'Smudge':
 ...

 @create_function
 def __getitem__(self, index: Union[int, slice]) -> Union[str, 'Smudge']:
 'Return a smudged character or characters.' 
 if isinstance(index, slice):
 start, stop, step = index.indices(len(self))
 values = [self[i] for i in range(start, stop, step)]
 return Smudge(''.join(values))
 c = super().__getitem__(index)
 return chr(ord(c) ^ 1)

 @create_function
 def other_method(self, x:str) -> tuple:
 pass

print(f'{Smudge.__getitem__.__annotations__=}')
print(f'{Smudge.__getitem__.__overloads__=}')
print(f'{Smudge.other_method.__annotations__=}') 
print(f'{Smudge.other_method.__overloads__=}')

[rhettinger]

Note, I'm not proposing a create_function() decorator. That is just for the proof of concept. The actual logic would go into normal function creation, the same place that __annotations__ gets added.

Also, there may be a better place than func.__globals__ to accumulate the overloads. For the proof-of-concept, it was just the easiest way to go.

[JelleZijlstra]

I made a similar suggestion in bpo-46821 (thanks Alex for pointing me to this older issue):

Currently, the implementation of @overload (

cpython/Lib/typing.py

Line 2211 in 59585d6

return _overload_dummy

) simply returns a dummy function and throws away the decorated function. This makes it virtually impossible for type checkers using the runtime function object to find overloads specified at runtime.

In pyanalyze, I worked around this by providing a custom @overload decorator, working something like this:

_overloads: dict[str, list[Callable]] = {}

def _get_key(func: Callable) -> str:
 return f"{func.__module__}.{func.__qualname__}"

def overload(func):
 key = _get_key(func)
 _overloads.setdefault(key, []).append(func)
 return _overload_dummy

def get_overloads_for(func):
 key = _get_key(func)
 return _overloads.get(key, [])

A full implementation will need more error handling.

I'd like to add something like this to typing.py so that other tools can also use this information.

---

With my suggested solution, help() would need to call typing.get_overloads_for() to get any overloads for the function. Unlike Raymond's suggestion, we would not need to change the function creation machinery.

[gvanrossum]

Sounds good to me. (I don’t care what happens at runtime but I want to
support the folks who do.)--
--Guido (mobile)

[TeamSpen210]

I'm not sure a get_overloads() function potentially called after the fact would fully work - there's the tricky case of nested functions, where the overload list would need to be somehow cleared to ensure every instantiation doesn't endlessly append to the same list. It's probably also desirable to weakref it (or make it an attribute) so they can be decrefed if the function isn't being used.

[JelleZijlstra]

I'm OK with not fully supporting overloads created in nested functions; that's a pretty marginal use case. But it's true that my proposed implementation would create a memory leak if someone does do that. I don't immediately see a way to fix that with weakrefs. Maybe we need to put something in the defining namespace, as Raymond suggested.

[TeamSpen210]

Had a potential thought. Since the only situation we care about is overload being used on function definitions in lexical order, valid calls are only that on definitions with ascending co_firstlineno counts. Expanding on Jelle's solution, the overload() decorator could compare the current function's line number to the first in the list, and if it's <= clear out the list (we're re-defining). Then repeated re-definitions wouldn't duplicate overloads.

The other change I'd suggest is to make get_overloads_for() first check __overloads__, then only if not present pop from the _overloads dict and assign to that attribute. That way if code calls get_overloads_for() at least once, the function will be referring to the actual overloads created at the same time. It'd also get garbage collected then when the function dies. It also means you could manually assign to add overloads to any callable.

[AlexWaygood]

I'd dearly like better introspection tools for functions decorated with @overload, but I'd rather have a solution where:

• inspect.signature doesn't have to import typing. That doesn't feel worth it for users who aren't using typing.overload, but inspect.signature would have to import typing whether or not @overload was being used, in order to *check* whether @overload was being used.
• The solution could be reused by, and generalised to, other kinds of functions that have multiple signatures.

If we create an __overloads__ dunder that stored the signatures of multi-signature functions, as Raymond suggests, inspect.signature could check that dunder to examine whether the function is a multi-dispatch signature, and change its representation of the function accordingly. This kind of solution could be easily reused by other parts of the stdlib, like @functools.singledispatch, and by third-party packages such as plum-dispatch, multipledispatch, and Nikita's dry-python/classes library.

So, while it would undoubtedly be more complex to implement, I much prefer Raymond's suggested solution.