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__init__.py	5.64 KB	Del OK
__init__.pyi	126 B	Del OK
__pycache__	-	Del OK
_add_newdocs.py	204.07 KB	Del OK
_add_newdocs_scalars.py	11.82 KB	Del OK
_asarray.py	3.79 KB	Del OK
_asarray.pyi	1.06 KB	Del OK
_dtype.py	10.36 KB	Del OK
_dtype_ctypes.py	3.59 KB	Del OK
_exceptions.py	5.25 KB	Del OK
_internal.py	27.68 KB	Del OK
_internal.pyi	1.01 KB	Del OK
_machar.py	11.29 KB	Del OK
_methods.py	8.41 KB	Del OK
_multiarray_tests.cpython-311-x86_64-linux-gnu.so	171.79 KB	Del OK
_multiarray_umath.cpython-311-x86_64-linux-gnu.so	6.66 MB	Del OK
_operand_flag_tests.cpython-311-x86_64-linux-gnu.so	16.67 KB	Del OK
_rational_tests.cpython-311-x86_64-linux-gnu.so	58.41 KB	Del OK
_simd.cpython-311-x86_64-linux-gnu.so	2.47 MB	Del OK
_string_helpers.py	2.79 KB	Del OK
_struct_ufunc_tests.cpython-311-x86_64-linux-gnu.so	16.77 KB	Del OK
_type_aliases.py	7.36 KB	Del OK
_type_aliases.pyi	404 B	Del OK
_ufunc_config.py	13.62 KB	Del OK
_ufunc_config.pyi	1.04 KB	Del OK
_umath_tests.cpython-311-x86_64-linux-gnu.so	41.32 KB	Del OK
arrayprint.py	62.12 KB	Del OK
arrayprint.pyi	4.32 KB	Del OK
cversions.py	347 B	Del OK
defchararray.py	71.89 KB	Del OK
defchararray.pyi	9 KB	Del OK
einsumfunc.py	50.65 KB	Del OK
einsumfunc.pyi	4.75 KB	Del OK
fromnumeric.py	125.8 KB	Del OK
fromnumeric.pyi	22.96 KB	Del OK
function_base.py	19.37 KB	Del OK
function_base.pyi	4.61 KB	Del OK
generate_numpy_api.py	7.47 KB	Del OK
getlimits.py	25.26 KB	Del OK
getlimits.pyi	82 B	Del OK
include	-	Del OK
lib	-	Del OK
memmap.py	11.5 KB	Del OK
memmap.pyi	55 B	Del OK
multiarray.py	54.78 KB	Del OK
multiarray.pyi	24.19 KB	Del OK
numeric.py	75.21 KB	Del OK
numeric.pyi	13.9 KB	Del OK
numerictypes.py	17.67 KB	Del OK
numerictypes.pyi	3.19 KB	Del OK
overrides.py	6.93 KB	Del OK
records.py	36.65 KB	Del OK
records.pyi	5.56 KB	Del OK
setup.py	47.05 KB	Del OK
setup_common.py	16.68 KB	Del OK
shape_base.py	29.05 KB	Del OK
shape_base.pyi	2.71 KB	Del OK
tests	-	Del OK
umath.py	1.99 KB	Del OK
umath_tests.py	389 B	Del OK

Edit: multiarray.pyi

# TODO: Sort out any and all missing functions in this namespace import os import datetime as dt from collections.abc import Sequence, Callable, Iterable from typing import ( Literal as L, Any, overload, TypeVar, SupportsIndex, final, Final, Protocol, ClassVar, ) from numpy import ( # Re-exports busdaycalendar as busdaycalendar, broadcast as broadcast, dtype as dtype, ndarray as ndarray, nditer as nditer, # The rest ufunc, str_, bool_, uint8, intp, int_, float64, timedelta64, datetime64, generic, unsignedinteger, signedinteger, floating, complexfloating, _OrderKACF, _OrderCF, _CastingKind, _ModeKind, _SupportsBuffer, _IOProtocol, _CopyMode, _NDIterFlagsKind, _NDIterOpFlagsKind, ) from numpy._typing import ( # Shapes _ShapeLike, # DTypes DTypeLike, _DTypeLike, # Arrays NDArray, ArrayLike, _ArrayLike, _SupportsArrayFunc, _NestedSequence, _ArrayLikeBool_co, _ArrayLikeUInt_co, _ArrayLikeInt_co, _ArrayLikeFloat_co, _ArrayLikeComplex_co, _ArrayLikeTD64_co, _ArrayLikeDT64_co, _ArrayLikeObject_co, _ArrayLikeStr_co, _ArrayLikeBytes_co, _ScalarLike_co, _IntLike_co, _FloatLike_co, _TD64Like_co, ) _T_co = TypeVar("_T_co", covariant=True) _T_contra = TypeVar("_T_contra", contravariant=True) _SCT = TypeVar("_SCT", bound=generic) _ArrayType = TypeVar("_ArrayType", bound=NDArray[Any]) # Valid time units _UnitKind = L[ "Y", "M", "D", "h", "m", "s", "ms", "us", "μs", "ns", "ps", "fs", "as", ] _RollKind = L[ # `raise` is deliberately excluded "nat", "forward", "following", "backward", "preceding", "modifiedfollowing", "modifiedpreceding", ] class _SupportsLenAndGetItem(Protocol[_T_contra, _T_co]): def __len__(self) -> int: ... def __getitem__(self, key: _T_contra, /) -> _T_co: ... __all__: list[str] ALLOW_THREADS: Final[int] # 0 or 1 (system-specific) BUFSIZE: L[8192] CLIP: L[0] WRAP: L[1] RAISE: L[2] MAXDIMS: L[32] MAY_SHARE_BOUNDS: L[0] MAY_SHARE_EXACT: L[-1] tracemalloc_domain: L[389047] @overload def empty_like( prototype: _ArrayType, dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> _ArrayType: ... @overload def empty_like( prototype: _ArrayLike[_SCT], dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> NDArray[_SCT]: ... @overload def empty_like( prototype: object, dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> NDArray[Any]: ... @overload def empty_like( prototype: Any, dtype: _DTypeLike[_SCT], order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> NDArray[_SCT]: ... @overload def empty_like( prototype: Any, dtype: DTypeLike, order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> NDArray[Any]: ... @overload def array( object: _ArrayType, dtype: None = ..., *, copy: bool | _CopyMode = ..., order: _OrderKACF = ..., subok: L[True], ndmin: int = ..., like: None | _SupportsArrayFunc = ..., ) -> _ArrayType: ... @overload def array( object: _ArrayLike[_SCT], dtype: None = ..., *, copy: bool | _CopyMode = ..., order: _OrderKACF = ..., subok: bool = ..., ndmin: int = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def array( object: object, dtype: None = ..., *, copy: bool | _CopyMode = ..., order: _OrderKACF = ..., subok: bool = ..., ndmin: int = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def array( object: Any, dtype: _DTypeLike[_SCT], *, copy: bool | _CopyMode = ..., order: _OrderKACF = ..., subok: bool = ..., ndmin: int = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def array( object: Any, dtype: DTypeLike, *, copy: bool | _CopyMode = ..., order: _OrderKACF = ..., subok: bool = ..., ndmin: int = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def zeros( shape: _ShapeLike, dtype: None = ..., order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[float64]: ... @overload def zeros( shape: _ShapeLike, dtype: _DTypeLike[_SCT], order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def zeros( shape: _ShapeLike, dtype: DTypeLike, order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def empty( shape: _ShapeLike, dtype: None = ..., order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[float64]: ... @overload def empty( shape: _ShapeLike, dtype: _DTypeLike[_SCT], order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def empty( shape: _ShapeLike, dtype: DTypeLike, order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def unravel_index( # type: ignore[misc] indices: _IntLike_co, shape: _ShapeLike, order: _OrderCF = ..., ) -> tuple[intp, ...]: ... @overload def unravel_index( indices: _ArrayLikeInt_co, shape: _ShapeLike, order: _OrderCF = ..., ) -> tuple[NDArray[intp], ...]: ... @overload def ravel_multi_index( # type: ignore[misc] multi_index: Sequence[_IntLike_co], dims: Sequence[SupportsIndex], mode: _ModeKind | tuple[_ModeKind, ...] = ..., order: _OrderCF = ..., ) -> intp: ... @overload def ravel_multi_index( multi_index: Sequence[_ArrayLikeInt_co], dims: Sequence[SupportsIndex], mode: _ModeKind | tuple[_ModeKind, ...] = ..., order: _OrderCF = ..., ) -> NDArray[intp]: ... # NOTE: Allow any sequence of array-like objects @overload def concatenate( # type: ignore[misc] arrays: _ArrayLike[_SCT], /, axis: None | SupportsIndex = ..., out: None = ..., *, dtype: None = ..., casting: None | _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def concatenate( # type: ignore[misc] arrays: _SupportsLenAndGetItem[int, ArrayLike], /, axis: None | SupportsIndex = ..., out: None = ..., *, dtype: None = ..., casting: None | _CastingKind = ... ) -> NDArray[Any]: ... @overload def concatenate( # type: ignore[misc] arrays: _SupportsLenAndGetItem[int, ArrayLike], /, axis: None | SupportsIndex = ..., out: None = ..., *, dtype: _DTypeLike[_SCT], casting: None | _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def concatenate( # type: ignore[misc] arrays: _SupportsLenAndGetItem[int, ArrayLike], /, axis: None | SupportsIndex = ..., out: None = ..., *, dtype: DTypeLike, casting: None | _CastingKind = ... ) -> NDArray[Any]: ... @overload def concatenate( arrays: _SupportsLenAndGetItem[int, ArrayLike], /, axis: None | SupportsIndex = ..., out: _ArrayType = ..., *, dtype: DTypeLike = ..., casting: None | _CastingKind = ... ) -> _ArrayType: ... def inner( a: ArrayLike, b: ArrayLike, /, ) -> Any: ... @overload def where( condition: ArrayLike, /, ) -> tuple[NDArray[intp], ...]: ... @overload def where( condition: ArrayLike, x: ArrayLike, y: ArrayLike, /, ) -> NDArray[Any]: ... def lexsort( keys: ArrayLike, axis: None | SupportsIndex = ..., ) -> Any: ... def can_cast( from_: ArrayLike | DTypeLike, to: DTypeLike, casting: None | _CastingKind = ..., ) -> bool: ... def min_scalar_type( a: ArrayLike, /, ) -> dtype[Any]: ... def result_type( *arrays_and_dtypes: ArrayLike | DTypeLike, ) -> dtype[Any]: ... @overload def dot(a: ArrayLike, b: ArrayLike, out: None = ...) -> Any: ... @overload def dot(a: ArrayLike, b: ArrayLike, out: _ArrayType) -> _ArrayType: ... @overload def vdot(a: _ArrayLikeBool_co, b: _ArrayLikeBool_co, /) -> bool_: ... # type: ignore[misc] @overload def vdot(a: _ArrayLikeUInt_co, b: _ArrayLikeUInt_co, /) -> unsignedinteger[Any]: ... # type: ignore[misc] @overload def vdot(a: _ArrayLikeInt_co, b: _ArrayLikeInt_co, /) -> signedinteger[Any]: ... # type: ignore[misc] @overload def vdot(a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co, /) -> floating[Any]: ... # type: ignore[misc] @overload def vdot(a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co, /) -> complexfloating[Any, Any]: ... # type: ignore[misc] @overload def vdot(a: _ArrayLikeTD64_co, b: _ArrayLikeTD64_co, /) -> timedelta64: ... @overload def vdot(a: _ArrayLikeObject_co, b: Any, /) -> Any: ... @overload def vdot(a: Any, b: _ArrayLikeObject_co, /) -> Any: ... def bincount( x: ArrayLike, /, weights: None | ArrayLike = ..., minlength: SupportsIndex = ..., ) -> NDArray[intp]: ... def copyto( dst: NDArray[Any], src: ArrayLike, casting: None | _CastingKind = ..., where: None | _ArrayLikeBool_co = ..., ) -> None: ... def putmask( a: NDArray[Any], /, mask: _ArrayLikeBool_co, values: ArrayLike, ) -> None: ... def packbits( a: _ArrayLikeInt_co, /, axis: None | SupportsIndex = ..., bitorder: L["big", "little"] = ..., ) -> NDArray[uint8]: ... def unpackbits( a: _ArrayLike[uint8], /, axis: None | SupportsIndex = ..., count: None | SupportsIndex = ..., bitorder: L["big", "little"] = ..., ) -> NDArray[uint8]: ... def shares_memory( a: object, b: object, /, max_work: None | int = ..., ) -> bool: ... def may_share_memory( a: object, b: object, /, max_work: None | int = ..., ) -> bool: ... @overload def asarray( a: _ArrayLike[_SCT], dtype: None = ..., order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def asarray( a: object, dtype: None = ..., order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def asarray( a: Any, dtype: _DTypeLike[_SCT], order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def asarray( a: Any, dtype: DTypeLike, order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def asanyarray( a: _ArrayType, # Preserve subclass-information dtype: None = ..., order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> _ArrayType: ... @overload def asanyarray( a: _ArrayLike[_SCT], dtype: None = ..., order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def asanyarray( a: object, dtype: None = ..., order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def asanyarray( a: Any, dtype: _DTypeLike[_SCT], order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def asanyarray( a: Any, dtype: DTypeLike, order: _OrderKACF = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def ascontiguousarray( a: _ArrayLike[_SCT], dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def ascontiguousarray( a: object, dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def ascontiguousarray( a: Any, dtype: _DTypeLike[_SCT], *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def ascontiguousarray( a: Any, dtype: DTypeLike, *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def asfortranarray( a: _ArrayLike[_SCT], dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def asfortranarray( a: object, dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def asfortranarray( a: Any, dtype: _DTypeLike[_SCT], *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def asfortranarray( a: Any, dtype: DTypeLike, *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... # In practice `list[Any]` is list with an int, int and a valid # `np.seterrcall()` object def geterrobj() -> list[Any]: ... def seterrobj(errobj: list[Any], /) -> None: ... def promote_types(__type1: DTypeLike, __type2: DTypeLike) -> dtype[Any]: ... # `sep` is a de facto mandatory argument, as its default value is deprecated @overload def fromstring( string: str | bytes, dtype: None = ..., count: SupportsIndex = ..., *, sep: str, like: None | _SupportsArrayFunc = ..., ) -> NDArray[float64]: ... @overload def fromstring( string: str | bytes, dtype: _DTypeLike[_SCT], count: SupportsIndex = ..., *, sep: str, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def fromstring( string: str | bytes, dtype: DTypeLike, count: SupportsIndex = ..., *, sep: str, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... def frompyfunc( func: Callable[..., Any], /, nin: SupportsIndex, nout: SupportsIndex, *, identity: Any = ..., ) -> ufunc: ... @overload def fromfile( file: str | bytes | os.PathLike[Any] | _IOProtocol, dtype: None = ..., count: SupportsIndex = ..., sep: str = ..., offset: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[float64]: ... @overload def fromfile( file: str | bytes | os.PathLike[Any] | _IOProtocol, dtype: _DTypeLike[_SCT], count: SupportsIndex = ..., sep: str = ..., offset: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def fromfile( file: str | bytes | os.PathLike[Any] | _IOProtocol, dtype: DTypeLike, count: SupportsIndex = ..., sep: str = ..., offset: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def fromiter( iter: Iterable[Any], dtype: _DTypeLike[_SCT], count: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def fromiter( iter: Iterable[Any], dtype: DTypeLike, count: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def frombuffer( buffer: _SupportsBuffer, dtype: None = ..., count: SupportsIndex = ..., offset: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[float64]: ... @overload def frombuffer( buffer: _SupportsBuffer, dtype: _DTypeLike[_SCT], count: SupportsIndex = ..., offset: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def frombuffer( buffer: _SupportsBuffer, dtype: DTypeLike, count: SupportsIndex = ..., offset: SupportsIndex = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def arange( # type: ignore[misc] stop: _IntLike_co, /, *, dtype: None = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[signedinteger[Any]]: ... @overload def arange( # type: ignore[misc] start: _IntLike_co, stop: _IntLike_co, step: _IntLike_co = ..., dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[signedinteger[Any]]: ... @overload def arange( # type: ignore[misc] stop: _FloatLike_co, /, *, dtype: None = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[floating[Any]]: ... @overload def arange( # type: ignore[misc] start: _FloatLike_co, stop: _FloatLike_co, step: _FloatLike_co = ..., dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[floating[Any]]: ... @overload def arange( stop: _TD64Like_co, /, *, dtype: None = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[timedelta64]: ... @overload def arange( start: _TD64Like_co, stop: _TD64Like_co, step: _TD64Like_co = ..., dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[timedelta64]: ... @overload def arange( # both start and stop must always be specified for datetime64 start: datetime64, stop: datetime64, step: datetime64 = ..., dtype: None = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[datetime64]: ... @overload def arange( stop: Any, /, *, dtype: _DTypeLike[_SCT], like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def arange( start: Any, stop: Any, step: Any = ..., dtype: _DTypeLike[_SCT] = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def arange( stop: Any, /, *, dtype: DTypeLike, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def arange( start: Any, stop: Any, step: Any = ..., dtype: DTypeLike = ..., *, like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... def datetime_data( dtype: str | _DTypeLike[datetime64] | _DTypeLike[timedelta64], /, ) -> tuple[str, int]: ... # The datetime functions perform unsafe casts to `datetime64[D]`, # so a lot of different argument types are allowed here @overload def busday_count( # type: ignore[misc] begindates: _ScalarLike_co | dt.date, enddates: _ScalarLike_co | dt.date, weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> int_: ... @overload def busday_count( # type: ignore[misc] begindates: ArrayLike | dt.date | _NestedSequence[dt.date], enddates: ArrayLike | dt.date | _NestedSequence[dt.date], weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> NDArray[int_]: ... @overload def busday_count( begindates: ArrayLike | dt.date | _NestedSequence[dt.date], enddates: ArrayLike | dt.date | _NestedSequence[dt.date], weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: _ArrayType = ..., ) -> _ArrayType: ... # `roll="raise"` is (more or less?) equivalent to `casting="safe"` @overload def busday_offset( # type: ignore[misc] dates: datetime64 | dt.date, offsets: _TD64Like_co | dt.timedelta, roll: L["raise"] = ..., weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> datetime64: ... @overload def busday_offset( # type: ignore[misc] dates: _ArrayLike[datetime64] | dt.date | _NestedSequence[dt.date], offsets: _ArrayLikeTD64_co | dt.timedelta | _NestedSequence[dt.timedelta], roll: L["raise"] = ..., weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> NDArray[datetime64]: ... @overload def busday_offset( # type: ignore[misc] dates: _ArrayLike[datetime64] | dt.date | _NestedSequence[dt.date], offsets: _ArrayLikeTD64_co | dt.timedelta | _NestedSequence[dt.timedelta], roll: L["raise"] = ..., weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: _ArrayType = ..., ) -> _ArrayType: ... @overload def busday_offset( # type: ignore[misc] dates: _ScalarLike_co | dt.date, offsets: _ScalarLike_co | dt.timedelta, roll: _RollKind, weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> datetime64: ... @overload def busday_offset( # type: ignore[misc] dates: ArrayLike | dt.date | _NestedSequence[dt.date], offsets: ArrayLike | dt.timedelta | _NestedSequence[dt.timedelta], roll: _RollKind, weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> NDArray[datetime64]: ... @overload def busday_offset( dates: ArrayLike | dt.date | _NestedSequence[dt.date], offsets: ArrayLike | dt.timedelta | _NestedSequence[dt.timedelta], roll: _RollKind, weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: _ArrayType = ..., ) -> _ArrayType: ... @overload def is_busday( # type: ignore[misc] dates: _ScalarLike_co | dt.date, weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> bool_: ... @overload def is_busday( # type: ignore[misc] dates: ArrayLike | _NestedSequence[dt.date], weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: None = ..., ) -> NDArray[bool_]: ... @overload def is_busday( dates: ArrayLike | _NestedSequence[dt.date], weekmask: ArrayLike = ..., holidays: None | ArrayLike | dt.date | _NestedSequence[dt.date] = ..., busdaycal: None | busdaycalendar = ..., out: _ArrayType = ..., ) -> _ArrayType: ... @overload def datetime_as_string( # type: ignore[misc] arr: datetime64 | dt.date, unit: None | L["auto"] | _UnitKind = ..., timezone: L["naive", "UTC", "local"] | dt.tzinfo = ..., casting: _CastingKind = ..., ) -> str_: ... @overload def datetime_as_string( arr: _ArrayLikeDT64_co | _NestedSequence[dt.date], unit: None | L["auto"] | _UnitKind = ..., timezone: L["naive", "UTC", "local"] | dt.tzinfo = ..., casting: _CastingKind = ..., ) -> NDArray[str_]: ... @overload def compare_chararrays( a1: _ArrayLikeStr_co, a2: _ArrayLikeStr_co, cmp: L["<", "<=", "==", ">=", ">", "!="], rstrip: bool, ) -> NDArray[bool_]: ... @overload def compare_chararrays( a1: _ArrayLikeBytes_co, a2: _ArrayLikeBytes_co, cmp: L["<", "<=", "==", ">=", ">", "!="], rstrip: bool, ) -> NDArray[bool_]: ... def add_docstring(obj: Callable[..., Any], docstring: str, /) -> None: ... _GetItemKeys = L[ "C", "CONTIGUOUS", "C_CONTIGUOUS", "F", "FORTRAN", "F_CONTIGUOUS", "W", "WRITEABLE", "B", "BEHAVED", "O", "OWNDATA", "A", "ALIGNED", "X", "WRITEBACKIFCOPY", "CA", "CARRAY", "FA", "FARRAY", "FNC", "FORC", ] _SetItemKeys = L[ "A", "ALIGNED", "W", "WRITEABLE", "X", "WRITEBACKIFCOPY", ] @final class flagsobj: __hash__: ClassVar[None] # type: ignore[assignment] aligned: bool # NOTE: deprecated # updateifcopy: bool writeable: bool writebackifcopy: bool @property def behaved(self) -> bool: ... @property def c_contiguous(self) -> bool: ... @property def carray(self) -> bool: ... @property def contiguous(self) -> bool: ... @property def f_contiguous(self) -> bool: ... @property def farray(self) -> bool: ... @property def fnc(self) -> bool: ... @property def forc(self) -> bool: ... @property def fortran(self) -> bool: ... @property def num(self) -> int: ... @property def owndata(self) -> bool: ... def __getitem__(self, key: _GetItemKeys) -> bool: ... def __setitem__(self, key: _SetItemKeys, value: bool) -> None: ... def nested_iters( op: ArrayLike | Sequence[ArrayLike], axes: Sequence[Sequence[SupportsIndex]], flags: None | Sequence[_NDIterFlagsKind] = ..., op_flags: None | Sequence[Sequence[_NDIterOpFlagsKind]] = ..., op_dtypes: DTypeLike | Sequence[DTypeLike] = ..., order: _OrderKACF = ..., casting: _CastingKind = ..., buffersize: SupportsIndex = ..., ) -> tuple[nditer, ...]: ...
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