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from dataclasses import dataclass
from timeit import timeit
from typing import Annotated
from apischema import deserialization_method, discriminator
@dataclass
class Cat:
love_dog: bool = False
@dataclass
class Dog:
love_cat: bool = False
deserialize_union = deserialization_method(Cat | Dog)
deserialize_discriminated = deserialization_method(
Annotated[Cat | Dog, discriminator("type")]
)
##### Without discrimininator
print(timeit('deserialize_union({"love_dog": False})', globals=globals()))
# Cat: 0.760085788
print(timeit('deserialize_union({"love_cat": False})', globals=globals()))
# Dog: 3.078876515 ≈ x4
##### With discriminator
print(timeit('deserialize_discriminated({"type": "Cat"})', globals=globals()))
# Cat: 1.244204702
print(timeit('deserialize_discriminated({"type": "Dog"})', globals=globals()))
# Dog: 1.234058598 ≈ same
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