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6e515ed9b8
Some dataclass implementations, such as Pydantic, allow declaring fields with mutable defaults, deep-copying them under the hood. See https://docs.pydantic.dev/latest/concepts/models/#fields-with-non-hashable-default-values (cherry picked from commit e495621858950976226731dddbb01af4012704fa) IJ-CR-151192 GitOrigin-RevId: 7412272584a4c26e404d3d84e6150f974027eca7
26 lines
643 B
Python
26 lines
643 B
Python
from collections import OrderedDict
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from typing import ClassVar
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from decorator import my_dataclass, field
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@my_dataclass()
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class A:
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a: list[int] = []
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b: list[int] = list()
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c: set[int] = {1}
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d: set[int] = set()
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e: tuple[int, ...] = ()
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f: tuple[int, ...] = tuple()
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g: ClassVar[list[int]] = []
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h: ClassVar = []
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i: dict[int, int] = {1: 2}
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j: dict[int, int] = dict()
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k = []
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l = list()
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m: dict[int, int] = OrderedDict()
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n: frozenset[int] = frozenset()
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o: list = field(default_factory=list)
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a2: type[list[int]] = list
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b2: type[set[int]] = set
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c2: type[tuple[int, ...]] = tuple |