PEP 718: More rationale, use-cases and expansion on monomorphisation (#3631)

Co-authored-by: Hugo van Kemenade <1324225+hugovk@users.noreply.github.com>
Co-authored-by: Shantanu <12621235+hauntsaninja@users.noreply.github.com>
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@ -17,11 +17,16 @@ Abstract
This PEP proposes making function objects subscriptable for typing purposes. Doing so This PEP proposes making function objects subscriptable for typing purposes. Doing so
gives developers explicit control over the types produced by the type checker where gives developers explicit control over the types produced by the type checker where
bi-directional inference (which allows for the types of parameters of anonymous bi-directional inference (which allows for the types of parameters of anonymous
functions to be inferred) and other methods than specialisation are insufficient. functions to be inferred) and other methods than specialisation are insufficient. It
also brings functions in line with regular classes in their ability to be
subscriptable.
Motivation Motivation
---------- ----------
Unknown Types
^^^^^^^^^^^^^
Currently, it is not possible to infer the type parameters to generic functions in Currently, it is not possible to infer the type parameters to generic functions in
certain situations: certain situations:
@ -62,6 +67,23 @@ If function objects were subscriptable, however, a more specific type could be g
reveal_type(factory[int](lambda x: "Hello World" * x)) # type is Foo[int] reveal_type(factory[int](lambda x: "Hello World" * x)) # type is Foo[int]
Undecidable Inference
^^^^^^^^^^^^^^^^^^^^^
There are even cases where subclass relations make type inference impossible. However,
if you can specialise the function type checkers can infer a meaningful type.
.. code-block:: python
def foo[T](x: Sequence[T] | T) -> list[T]: ...
reveal_type(foo[bytes](b"hello"))
Currently, type checkers do not consistently synthesise a type here.
Unsolvable Type Parameters
^^^^^^^^^^^^^^^^^^^^^^^^^^
Currently, with unspecialised literals, it is not possible to determine a type for Currently, with unspecialised literals, it is not possible to determine a type for
situations similar to: situations similar to:
@ -93,9 +115,26 @@ Due to this, specialising the function and using it as a new factory is fine
make_int_list = make_list[int] make_int_list = make_list[int]
reveal_type(make_int_list()) # type is list[int] reveal_type(make_int_list()) # type is list[int]
Monomorphisation and Reification
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This proposal also opens the door to This proposal also opens the door to
`monomorphisation <https://en.wikipedia.org/wiki/Monomorphization>`_ and `monomorphisation <https://en.wikipedia.org/wiki/Monomorphization>`_ and
`reified types <https://en.wikipedia.org/wiki/Reification_(computer_science)>`_ `reified types <https://en.wikipedia.org/wiki/Reification_(computer_science)>`_.
This would allow for a functionality which anecdotally has been requested many times.
*Please note this feature is not being proposed by the PEP, but may be implemented in
the future.*
The syntax for such a feature may look something like:
.. code-block:: python
def foo[T]():
return T.__value__
assert foo[int]() is int
Rationale Rationale
--------- ---------
@ -158,7 +197,15 @@ The following code snippet would fail at runtime without this change as
def bar[U](): def bar[U]():
return Foo[int]() return Foo[int]()
assert bar[str]().__orig_class__ is Foo[int] assert bar[str]().__orig_class__ == Foo[int]
Interactions with ``@typing.overload``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Overloaded functions should work much the same as already, since they have no effect on
the runtime type. The only change is that more situations will be decidable and the
behaviour/overload can be specified by the developer rather than leaving it to ordering
of overloads/unions.
Backwards Compatibility Backwards Compatibility
----------------------- -----------------------