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The pickle functions should accept an instance of a to-be pickled object, not the respective type objects itself.
20 lines
919 B
Python
20 lines
919 B
Python
from typing import Any, Callable, Hashable, Optional, SupportsInt, TypeVar, Union
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_T = TypeVar("_T")
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_Reduce = Union[tuple[Callable[..., _T], tuple[Any, ...]], tuple[Callable[..., _T], tuple[Any, ...], Optional[Any]]]
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__all__ = ["pickle", "constructor", "add_extension", "remove_extension", "clear_extension_cache"]
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def pickle(
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ob_type: type[_T],
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pickle_function: Callable[[_T], str | _Reduce[_T]],
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constructor_ob: Callable[[_Reduce[_T]], _T] | None = ...,
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) -> None: ...
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def constructor(object: Callable[[_Reduce[_T]], _T]) -> None: ...
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def add_extension(module: Hashable, name: Hashable, code: SupportsInt) -> None: ...
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def remove_extension(module: Hashable, name: Hashable, code: int) -> None: ...
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def clear_extension_cache() -> None: ...
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_DispatchTableType = dict[type, Callable[[Any], str | _Reduce[Any]]] # imported by multiprocessing.reduction
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dispatch_table: _DispatchTableType # undocumented
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