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87 lines
1.6 KiB
Python
87 lines
1.6 KiB
Python
from __future__ import annotations
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from typing import Callable, Unpack
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class A[T, *Ts, **P]:
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x: T
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y: tuple[*Ts]
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z: Callable[P, str]
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class B[T, *Ts, **P]:
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T = int
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Ts = str
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P = bytes
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x: T
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y: Ts
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z: P
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Eggs = int
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Spam = str
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class C[Eggs, **Spam]:
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x: Eggs
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y: Spam
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def generic_function[T, *Ts, **P](
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x: T, *y: Unpack[Ts], z: P.args, zz: P.kwargs
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) -> None: ...
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def generic_function_2[Eggs, **Spam](x: Eggs, y: Spam): pass
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class D:
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Foo = int
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Bar = str
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def generic_method[Foo, **Bar](
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self, x: Foo, y: Bar
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) -> None: ...
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def generic_method_2[Eggs, **Spam](self, x: Eggs, y: Spam): pass
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# Eggs is `int` in globals, a TypeVar in type_params, and `str` in locals:
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class E[Eggs]:
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Eggs = str
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x: Eggs
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def nested():
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from types import SimpleNamespace
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from inspect import get_annotations
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Eggs = bytes
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Spam = memoryview
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class F[Eggs, **Spam]:
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x: Eggs
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y: Spam
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def generic_method[Eggs, **Spam](self, x: Eggs, y: Spam): pass
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def generic_function[Eggs, **Spam](x: Eggs, y: Spam): pass
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# Eggs is `int` in globals, `bytes` in the function scope,
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# a TypeVar in the type_params, and `str` in locals:
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class G[Eggs]:
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Eggs = str
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x: Eggs
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return SimpleNamespace(
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F=F,
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F_annotations=get_annotations(F, eval_str=True),
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F_meth_annotations=get_annotations(F.generic_method, eval_str=True),
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G_annotations=get_annotations(G, eval_str=True),
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generic_func=generic_function,
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generic_func_annotations=get_annotations(generic_function, eval_str=True)
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)
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