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Merged
jorenham merged 1 commit into from
Dec 28, 2025
Merged

👽️ memmap sync with upstream #790

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23 changes: 16 additions & 7 deletions src/numpy-stubs/_core/memmap.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ from typing import (
overload,
type_check_only,
)
from typing_extensions import TypeVar
from typing_extensions import TypeVar, override

import _numtype as _nt
import numpy as np
Expand All @@ -24,9 +24,9 @@ __all__ = ["memmap"]

###

_ShapeT_co = TypeVar("_ShapeT_co", bound=_nt.Shape, default=Any, covariant=True)
_DType_co = TypeVar("_DType_co", bound=np.dtype, default=np.dtype, covariant=True)
_ScalarT = TypeVar("_ScalarT", bound=np.generic)
_ShapeT_co = TypeVar("_ShapeT_co", bound=_nt.Shape, default=_nt.AnyShape, covariant=True)
_DTypeT_co = TypeVar("_DTypeT_co", bound=np.dtype[Any], default=np.dtype[Any], covariant=True)
_ScalarT = TypeVar("_ScalarT", bound=np.generic[Any])

_Mode: TypeAlias = L["r", "c", "r+", "w+"]
_ToMode: TypeAlias = L["readonly", "r", "copyonwrite", "c", "readwrite", "r+", "write", "w+"]
Expand All @@ -40,7 +40,7 @@ class _SupportsFileMethodsRW(SupportsWrite[bytes], Protocol):

###

class memmap(np.ndarray[_ShapeT_co, _DType_co], Generic[_ShapeT_co, _DType_co]):
class memmap(np.ndarray[_ShapeT_co, _DTypeT_co], Generic[_ShapeT_co, _DTypeT_co]):
__array_priority__: ClassVar[float] = -100.0 # pyright: ignore[reportIncompatibleMethodOverride]

filename: Final[str | None]
Expand All @@ -61,12 +61,12 @@ class memmap(np.ndarray[_ShapeT_co, _DType_co], Generic[_ShapeT_co, _DType_co]):
def __new__(
subtype,
filename: _ToFileName,
dtype: _DType_co,
dtype: _DTypeT_co,
mode: _ToMode = "r+",
offset: int = 0,
shape: _ShapeLike | None = None,
order: _OrderKACF = "C",
) -> memmap[Incomplete, _DType_co]: ...
) -> memmap[Incomplete, _DTypeT_co]: ...
@overload
def __new__(
subtype,
Expand All @@ -88,5 +88,14 @@ class memmap(np.ndarray[_ShapeT_co, _DType_co], Generic[_ShapeT_co, _DType_co]):
order: _OrderKACF = "C",
) -> Self: ...

#
@override
def __array_wrap__( # pyright: ignore[reportIncompatibleMethodOverride]
self,
array: memmap[_ShapeT_co, _DTypeT_co], # type: ignore[override]
context: tuple[np.ufunc, tuple[Any, ...], int] | None = None,
return_scalar: bool = False,
) -> Any: ...

#
def flush(self) -> None: ...