New submission from George Sakkis <george.sak...@gmail.com>: I'd like to propose two new optional boolean parameters to the @dataclass() decorator, `asdict` and `astuple`, that if true, the respective methods are generated as equivalent to the module-level namesake functions.
In addition to saving an extra imported name, the main benefit is performance. By having access to the specific fields of the decorated class, it should be possible to generate a more efficient implementation than the one in the respective function. To illustrate the difference in performance, the asdict method is 28 times faster than the function in the following PEP 557 example: @dataclass class InventoryItem: '''Class for keeping track of an item in inventory.''' name: str unit_price: float quantity_on_hand: int = 0 def asdict(self): return { 'name': self.name, 'unit_price': self.unit_price, 'quantity_on_hand': self.quantity_on_hand, } In [4]: i = InventoryItem(name='widget', unit_price=3.0, quantity_on_hand=10) In [5]: asdict(i) == i.asdict() Out[5]: True In [6]: %timeit asdict(i) 5.45 µs ± 14.1 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) In [7]: %timeit i.asdict() 193 ns ± 0.443 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each) Thoughts? ---------- components: Library (Lib) messages: 340511 nosy: gsakkis priority: normal severity: normal status: open title: asdict/astuple Dataclass methods type: enhancement versions: Python 3.8 _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue36662> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com