1022 lines
24 KiB
Python
1022 lines
24 KiB
Python
# 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, ...]: ...
|