ok
Mini Shell
# 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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