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# ruff: noqa: ANN401
# pyright: reportSelfClsParameterName=false
from collections.abc import Iterable, Sequence
from typing import (
Any,
ClassVar,
Literal,
Protocol,
SupportsIndex,
TypeAlias,
overload,
type_check_only,
)
from _typeshed import StrOrBytesPath
from typing_extensions import TypeVar
import numpy as np
from numpy import _ByteOrder, _OrderKACF, _SupportsBuffer
from numpy._typing import (
ArrayLike,
DTypeLike,
NDArray,
_AnyShape,
_ArrayLikeVoid_co,
_NestedSequence,
_Shape,
_ShapeLike,
)
__all__ = [
"array",
"find_duplicate",
"format_parser",
"fromarrays",
"fromfile",
"fromrecords",
"fromstring",
"recarray",
"record",
]
_T = TypeVar("_T")
_ScalarT = TypeVar("_ScalarT", bound=np.generic)
_DTypeT_co = TypeVar("_DTypeT_co", bound=np.dtype, default=np.dtype, covariant=True)
_ShapeT_co = TypeVar("_ShapeT_co", bound=_Shape, default=_AnyShape, covariant=True)
_RecArray: TypeAlias = recarray[_AnyShape, np.dtype[_ScalarT]]
@type_check_only
class _SupportsReadInto(Protocol):
def seek(self, offset: int, whence: int, /) -> object: ...
def tell(self, /) -> int: ...
def readinto(self, buffer: memoryview, /) -> int: ...
###
# exported in `numpy.rec`
class record(np.void):
def __getattribute__(self, attr: str) -> Any: ...
def __setattr__(self, attr: str, val: ArrayLike) -> None: ...
def pprint(self) -> str: ...
@overload
def __getitem__(self, key: str | SupportsIndex) -> Any: ...
@overload
def __getitem__(self, key: list[str]) -> record: ...
# exported in `numpy.rec`
class recarray(np.ndarray[_ShapeT_co, _DTypeT_co]):
__name__: ClassVar[Literal["record"]] = "record"
__module__: Literal["numpy"] = "numpy"
@overload
def __new__(
subtype,
shape: _ShapeLike,
dtype: None = None,
buf: _SupportsBuffer | None = None,
offset: SupportsIndex = 0,
strides: _ShapeLike | None = None,
*,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
byteorder: _ByteOrder | None = None,
aligned: bool = False,
order: _OrderKACF = "C",
) -> _RecArray[record]: ...
@overload
def __new__(
subtype,
shape: _ShapeLike,
dtype: DTypeLike,
buf: _SupportsBuffer | None = None,
offset: SupportsIndex = 0,
strides: _ShapeLike | None = None,
formats: None = None,
names: None = None,
titles: None = None,
byteorder: None = None,
aligned: Literal[False] = False,
order: _OrderKACF = "C",
) -> _RecArray[Any]: ...
def __array_finalize__(self, /, obj: object) -> None: ...
def __getattribute__(self, attr: str, /) -> Any: ...
def __setattr__(self, attr: str, val: ArrayLike, /) -> None: ...
#
@overload
def field(self, /, attr: int | str, val: ArrayLike) -> None: ...
@overload
def field(self, /, attr: int | str, val: None = None) -> Any: ...
# exported in `numpy.rec`
class format_parser:
dtype: np.dtype[np.void]
def __init__(
self,
/,
formats: DTypeLike,
names: str | Sequence[str] | None,
titles: str | Sequence[str] | None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
) -> None: ...
# exported in `numpy.rec`
@overload
def fromarrays(
arrayList: Iterable[ArrayLike],
dtype: DTypeLike | None = None,
shape: _ShapeLike | None = None,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
) -> _RecArray[Any]: ...
@overload
def fromarrays(
arrayList: Iterable[ArrayLike],
dtype: None = None,
shape: _ShapeLike | None = None,
*,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
) -> _RecArray[record]: ...
@overload
def fromrecords(
recList: _ArrayLikeVoid_co | tuple[object, ...] | _NestedSequence[tuple[object, ...]],
dtype: DTypeLike | None = None,
shape: _ShapeLike | None = None,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
) -> _RecArray[record]: ...
@overload
def fromrecords(
recList: _ArrayLikeVoid_co | tuple[object, ...] | _NestedSequence[tuple[object, ...]],
dtype: None = None,
shape: _ShapeLike | None = None,
*,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
) -> _RecArray[record]: ...
# exported in `numpy.rec`
@overload
def fromstring(
datastring: _SupportsBuffer,
dtype: DTypeLike,
shape: _ShapeLike | None = None,
offset: int = 0,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
) -> _RecArray[record]: ...
@overload
def fromstring(
datastring: _SupportsBuffer,
dtype: None = None,
shape: _ShapeLike | None = None,
offset: int = 0,
*,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
) -> _RecArray[record]: ...
# exported in `numpy.rec`
@overload
def fromfile(
fd: StrOrBytesPath | _SupportsReadInto,
dtype: DTypeLike,
shape: _ShapeLike | None = None,
offset: int = 0,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
) -> _RecArray[Any]: ...
@overload
def fromfile(
fd: StrOrBytesPath | _SupportsReadInto,
dtype: None = None,
shape: _ShapeLike | None = None,
offset: int = 0,
*,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
) -> _RecArray[record]: ...
# exported in `numpy.rec`
@overload
def array(
obj: _ScalarT | NDArray[_ScalarT],
dtype: None = None,
shape: _ShapeLike | None = None,
offset: int = 0,
strides: tuple[int, ...] | None = None,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
copy: bool = True,
) -> _RecArray[_ScalarT]: ...
@overload
def array(
obj: ArrayLike,
dtype: DTypeLike,
shape: _ShapeLike | None = None,
offset: int = 0,
strides: tuple[int, ...] | None = None,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
copy: bool = True,
) -> _RecArray[Any]: ...
@overload
def array(
obj: ArrayLike,
dtype: None = None,
shape: _ShapeLike | None = None,
offset: int = 0,
strides: tuple[int, ...] | None = None,
*,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
copy: bool = True,
) -> _RecArray[record]: ...
@overload
def array(
obj: None,
dtype: DTypeLike,
shape: _ShapeLike,
offset: int = 0,
strides: tuple[int, ...] | None = None,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
copy: bool = True,
) -> _RecArray[Any]: ...
@overload
def array(
obj: None,
dtype: None = None,
*,
shape: _ShapeLike,
offset: int = 0,
strides: tuple[int, ...] | None = None,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
copy: bool = True,
) -> _RecArray[record]: ...
@overload
def array(
obj: _SupportsReadInto,
dtype: DTypeLike,
shape: _ShapeLike | None = None,
offset: int = 0,
strides: tuple[int, ...] | None = None,
formats: None = None,
names: None = None,
titles: None = None,
aligned: bool = False,
byteorder: None = None,
copy: bool = True,
) -> _RecArray[Any]: ...
@overload
def array(
obj: _SupportsReadInto,
dtype: None = None,
shape: _ShapeLike | None = None,
offset: int = 0,
strides: tuple[int, ...] | None = None,
*,
formats: DTypeLike,
names: str | Sequence[str] | None = None,
titles: str | Sequence[str] | None = None,
aligned: bool = False,
byteorder: _ByteOrder | None = None,
copy: bool = True,
) -> _RecArray[record]: ...
# exported in `numpy.rec`
def find_duplicate(list: Iterable[_T]) -> list[_T]: ...
|
