Example task:
```
from dataclasses import dataclass, asdict, fields
from typing import List
@dataclass
class Point:
x: int
y: int
@dataclass
class Axes:
title: str
points: List[Point]
def plot(title: str, points: List[Point]):
print(title)
for point in points:
print(f'x={point.x}', f'y={point.y}')
axes = Axes('example', [Point(i, i) for i in range(3)])
# Now I need to plot my axes.
```
Way 0: `plot(axes.title, axes.points)`
Yes, it works great, but the topic about `dataclass2dict` conversion.
Way 1: `plot(**asdict(axes))`
Using `asdict` is what comes to mind first. But it is recursive, so it won't
work.
`asdict`, `astuple`... is an "bad naming" example, I think. Unexpected name for
a recursive function.
People don't read the documentation, and even when they do, they forget.
As an example: https://stackoverflow.com/q/52229521/6146442
Viewed 7k times.
Way 2: `plot(**vars(axes))`
Everything seems to be good. But pseudo-fields which are `ClassVar` or
`InitVar` will be returned.
`asdict` use: `return tuple(f for f in fields.values() if f._field_type is
_FIELD)`
Way 3:
Using undocumented `__dataclass_fields__` is look like a hack.
Way 4: `plot(**{f.name: getattr(axes, f.name) for f in fields(axes)})`
This will actually work. But I'm not sure about the elegance.
My suggestions:
1. Add default `True` `recursive` flag to `asdict` and implement Way 4
internally.
At the same time, IDE will remind people from stackoverflow that `asdict` is
recursive.
2. Or add new not-recursive function to `dataclasses` module. Leave `asdict`
frozen.
3. Do nothing.
Way 4 is handsome enough.
Describe the way in the documentation so that people don't get confused and
don't use `vars` or `asdict`.
I am ready to offer my assistance in implementation. Thank you for your
attention and happy holidays!
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