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1023 lines
25 KiB
1023 lines
25 KiB
# TODO: Sort out any and all missing functions in this namespace
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import os
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import datetime as dt
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from collections.abc import Sequence, Callable, Iterable
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from typing import (
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Literal as L,
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Any,
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overload,
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TypeVar,
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SupportsIndex,
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final,
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Final,
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Protocol,
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ClassVar,
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)
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from numpy import (
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# Re-exports
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busdaycalendar as busdaycalendar,
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broadcast as broadcast,
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dtype as dtype,
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ndarray as ndarray,
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nditer as nditer,
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# The rest
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ufunc,
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str_,
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bool_,
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uint8,
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intp,
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int_,
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float64,
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timedelta64,
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datetime64,
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generic,
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unsignedinteger,
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signedinteger,
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floating,
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complexfloating,
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_OrderKACF,
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_OrderCF,
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_CastingKind,
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_ModeKind,
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_SupportsBuffer,
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_IOProtocol,
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_CopyMode,
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_NDIterFlagsKind,
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_NDIterOpFlagsKind,
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)
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from numpy._typing import (
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# Shapes
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_ShapeLike,
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# DTypes
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DTypeLike,
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_DTypeLike,
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# Arrays
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NDArray,
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ArrayLike,
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_ArrayLike,
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_SupportsArrayFunc,
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_NestedSequence,
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_ArrayLikeBool_co,
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_ArrayLikeUInt_co,
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_ArrayLikeInt_co,
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_ArrayLikeFloat_co,
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_ArrayLikeComplex_co,
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_ArrayLikeTD64_co,
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_ArrayLikeDT64_co,
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_ArrayLikeObject_co,
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_ArrayLikeStr_co,
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_ArrayLikeBytes_co,
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_ScalarLike_co,
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_IntLike_co,
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_FloatLike_co,
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_TD64Like_co,
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)
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_T_co = TypeVar("_T_co", covariant=True)
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_T_contra = TypeVar("_T_contra", contravariant=True)
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_SCT = TypeVar("_SCT", bound=generic)
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_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
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# Valid time units
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_UnitKind = L[
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"Y",
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"M",
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"D",
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"h",
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"m",
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"s",
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"ms",
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"us", "μs",
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"ns",
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"ps",
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"fs",
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"as",
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]
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_RollKind = L[ # `raise` is deliberately excluded
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"nat",
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"forward",
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"following",
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"backward",
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"preceding",
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"modifiedfollowing",
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"modifiedpreceding",
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]
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class _SupportsLenAndGetItem(Protocol[_T_contra, _T_co]):
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def __len__(self) -> int: ...
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def __getitem__(self, key: _T_contra, /) -> _T_co: ...
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__all__: list[str]
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ALLOW_THREADS: Final[int] # 0 or 1 (system-specific)
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BUFSIZE: L[8192]
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CLIP: L[0]
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WRAP: L[1]
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RAISE: L[2]
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MAXDIMS: L[32]
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MAY_SHARE_BOUNDS: L[0]
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MAY_SHARE_EXACT: L[-1]
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tracemalloc_domain: L[389047]
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@overload
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def empty_like(
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prototype: _ArrayType,
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dtype: None = ...,
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order: _OrderKACF = ...,
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subok: bool = ...,
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shape: None | _ShapeLike = ...,
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) -> _ArrayType: ...
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@overload
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def empty_like(
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prototype: _ArrayLike[_SCT],
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dtype: None = ...,
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order: _OrderKACF = ...,
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subok: bool = ...,
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shape: None | _ShapeLike = ...,
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) -> NDArray[_SCT]: ...
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@overload
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def empty_like(
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prototype: object,
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dtype: None = ...,
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order: _OrderKACF = ...,
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subok: bool = ...,
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shape: None | _ShapeLike = ...,
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) -> NDArray[Any]: ...
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@overload
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def empty_like(
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prototype: Any,
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dtype: _DTypeLike[_SCT],
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order: _OrderKACF = ...,
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subok: bool = ...,
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shape: None | _ShapeLike = ...,
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) -> NDArray[_SCT]: ...
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@overload
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def empty_like(
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prototype: Any,
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dtype: DTypeLike,
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order: _OrderKACF = ...,
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subok: bool = ...,
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shape: None | _ShapeLike = ...,
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) -> NDArray[Any]: ...
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@overload
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def array(
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object: _ArrayType,
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dtype: None = ...,
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*,
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copy: bool | _CopyMode = ...,
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order: _OrderKACF = ...,
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subok: L[True],
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ndmin: int = ...,
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like: None | _SupportsArrayFunc = ...,
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) -> _ArrayType: ...
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@overload
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def array(
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object: _ArrayLike[_SCT],
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dtype: None = ...,
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*,
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copy: bool | _CopyMode = ...,
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order: _OrderKACF = ...,
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subok: bool = ...,
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ndmin: int = ...,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[_SCT]: ...
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@overload
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def array(
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object: object,
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dtype: None = ...,
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*,
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copy: bool | _CopyMode = ...,
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order: _OrderKACF = ...,
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subok: bool = ...,
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ndmin: int = ...,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[Any]: ...
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@overload
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def array(
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object: Any,
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dtype: _DTypeLike[_SCT],
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*,
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copy: bool | _CopyMode = ...,
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order: _OrderKACF = ...,
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subok: bool = ...,
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ndmin: int = ...,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[_SCT]: ...
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@overload
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def array(
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object: Any,
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dtype: DTypeLike,
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*,
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copy: bool | _CopyMode = ...,
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order: _OrderKACF = ...,
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subok: bool = ...,
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ndmin: int = ...,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[Any]: ...
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@overload
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def zeros(
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shape: _ShapeLike,
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dtype: None = ...,
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order: _OrderCF = ...,
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*,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[float64]: ...
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@overload
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def zeros(
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shape: _ShapeLike,
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dtype: _DTypeLike[_SCT],
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order: _OrderCF = ...,
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*,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[_SCT]: ...
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@overload
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def zeros(
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shape: _ShapeLike,
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dtype: DTypeLike,
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order: _OrderCF = ...,
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*,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[Any]: ...
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@overload
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def empty(
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shape: _ShapeLike,
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dtype: None = ...,
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order: _OrderCF = ...,
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*,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[float64]: ...
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@overload
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def empty(
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shape: _ShapeLike,
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dtype: _DTypeLike[_SCT],
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order: _OrderCF = ...,
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*,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[_SCT]: ...
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@overload
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def empty(
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shape: _ShapeLike,
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dtype: DTypeLike,
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order: _OrderCF = ...,
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*,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[Any]: ...
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@overload
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def unravel_index( # type: ignore[misc]
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indices: _IntLike_co,
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shape: _ShapeLike,
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order: _OrderCF = ...,
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) -> tuple[intp, ...]: ...
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@overload
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def unravel_index(
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indices: _ArrayLikeInt_co,
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shape: _ShapeLike,
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order: _OrderCF = ...,
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) -> tuple[NDArray[intp], ...]: ...
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@overload
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def ravel_multi_index( # type: ignore[misc]
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multi_index: Sequence[_IntLike_co],
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dims: Sequence[SupportsIndex],
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mode: _ModeKind | tuple[_ModeKind, ...] = ...,
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order: _OrderCF = ...,
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) -> intp: ...
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@overload
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def ravel_multi_index(
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multi_index: Sequence[_ArrayLikeInt_co],
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dims: Sequence[SupportsIndex],
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mode: _ModeKind | tuple[_ModeKind, ...] = ...,
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order: _OrderCF = ...,
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) -> NDArray[intp]: ...
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# NOTE: Allow any sequence of array-like objects
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@overload
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def concatenate( # type: ignore[misc]
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arrays: _ArrayLike[_SCT],
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/,
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axis: None | SupportsIndex = ...,
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out: None = ...,
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*,
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dtype: None = ...,
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casting: None | _CastingKind = ...
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) -> NDArray[_SCT]: ...
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@overload
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def concatenate( # type: ignore[misc]
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arrays: _SupportsLenAndGetItem[int, ArrayLike],
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/,
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axis: None | SupportsIndex = ...,
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out: None = ...,
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*,
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dtype: None = ...,
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casting: None | _CastingKind = ...
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) -> NDArray[Any]: ...
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@overload
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def concatenate( # type: ignore[misc]
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arrays: _SupportsLenAndGetItem[int, ArrayLike],
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/,
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axis: None | SupportsIndex = ...,
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out: None = ...,
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*,
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dtype: _DTypeLike[_SCT],
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casting: None | _CastingKind = ...
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) -> NDArray[_SCT]: ...
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@overload
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def concatenate( # type: ignore[misc]
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arrays: _SupportsLenAndGetItem[int, ArrayLike],
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/,
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axis: None | SupportsIndex = ...,
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out: None = ...,
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*,
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dtype: DTypeLike,
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casting: None | _CastingKind = ...
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) -> NDArray[Any]: ...
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@overload
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def concatenate(
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arrays: _SupportsLenAndGetItem[int, ArrayLike],
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/,
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axis: None | SupportsIndex = ...,
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out: _ArrayType = ...,
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*,
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dtype: DTypeLike = ...,
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casting: None | _CastingKind = ...
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) -> _ArrayType: ...
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def inner(
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a: ArrayLike,
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b: ArrayLike,
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/,
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) -> Any: ...
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@overload
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def where(
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condition: ArrayLike,
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/,
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) -> tuple[NDArray[intp], ...]: ...
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@overload
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def where(
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condition: ArrayLike,
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x: ArrayLike,
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y: ArrayLike,
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/,
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) -> NDArray[Any]: ...
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def lexsort(
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keys: ArrayLike,
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axis: None | SupportsIndex = ...,
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) -> Any: ...
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def can_cast(
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from_: ArrayLike | DTypeLike,
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to: DTypeLike,
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casting: None | _CastingKind = ...,
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) -> bool: ...
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def min_scalar_type(
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a: ArrayLike, /,
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) -> dtype[Any]: ...
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def result_type(
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*arrays_and_dtypes: ArrayLike | DTypeLike,
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) -> dtype[Any]: ...
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@overload
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def dot(a: ArrayLike, b: ArrayLike, out: None = ...) -> Any: ...
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@overload
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def dot(a: ArrayLike, b: ArrayLike, out: _ArrayType) -> _ArrayType: ...
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@overload
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def vdot(a: _ArrayLikeBool_co, b: _ArrayLikeBool_co, /) -> bool_: ... # type: ignore[misc]
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@overload
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def vdot(a: _ArrayLikeUInt_co, b: _ArrayLikeUInt_co, /) -> unsignedinteger[Any]: ... # type: ignore[misc]
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@overload
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def vdot(a: _ArrayLikeInt_co, b: _ArrayLikeInt_co, /) -> signedinteger[Any]: ... # type: ignore[misc]
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@overload
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def vdot(a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co, /) -> floating[Any]: ... # type: ignore[misc]
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@overload
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def vdot(a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co, /) -> complexfloating[Any, Any]: ... # type: ignore[misc]
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@overload
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def vdot(a: _ArrayLikeTD64_co, b: _ArrayLikeTD64_co, /) -> timedelta64: ...
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@overload
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def vdot(a: _ArrayLikeObject_co, b: Any, /) -> Any: ...
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@overload
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def vdot(a: Any, b: _ArrayLikeObject_co, /) -> Any: ...
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def bincount(
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x: ArrayLike,
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/,
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weights: None | ArrayLike = ...,
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minlength: SupportsIndex = ...,
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) -> NDArray[intp]: ...
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def copyto(
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dst: NDArray[Any],
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src: ArrayLike,
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casting: None | _CastingKind = ...,
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where: None | _ArrayLikeBool_co = ...,
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) -> None: ...
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def putmask(
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a: NDArray[Any],
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/,
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mask: _ArrayLikeBool_co,
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values: ArrayLike,
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) -> None: ...
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def packbits(
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a: _ArrayLikeInt_co,
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/,
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axis: None | SupportsIndex = ...,
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bitorder: L["big", "little"] = ...,
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) -> NDArray[uint8]: ...
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def unpackbits(
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a: _ArrayLike[uint8],
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/,
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axis: None | SupportsIndex = ...,
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count: None | SupportsIndex = ...,
|
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bitorder: L["big", "little"] = ...,
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) -> NDArray[uint8]: ...
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def shares_memory(
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a: object,
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b: object,
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/,
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max_work: None | int = ...,
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) -> bool: ...
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|
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def may_share_memory(
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a: object,
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b: object,
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/,
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max_work: None | int = ...,
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) -> bool: ...
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|
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@overload
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def asarray(
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a: _ArrayLike[_SCT],
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dtype: None = ...,
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|
order: _OrderKACF = ...,
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|
*,
|
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like: None | _SupportsArrayFunc = ...,
|
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) -> NDArray[_SCT]: ...
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@overload
|
|
def asarray(
|
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a: object,
|
|
dtype: None = ...,
|
|
order: _OrderKACF = ...,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[Any]: ...
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|
@overload
|
|
def asarray(
|
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a: Any,
|
|
dtype: _DTypeLike[_SCT],
|
|
order: _OrderKACF = ...,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[_SCT]: ...
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|
@overload
|
|
def asarray(
|
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a: Any,
|
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dtype: DTypeLike,
|
|
order: _OrderKACF = ...,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[Any]: ...
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|
|
|
@overload
|
|
def asanyarray(
|
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a: _ArrayType, # Preserve subclass-information
|
|
dtype: None = ...,
|
|
order: _OrderKACF = ...,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> _ArrayType: ...
|
|
@overload
|
|
def asanyarray(
|
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a: _ArrayLike[_SCT],
|
|
dtype: None = ...,
|
|
order: _OrderKACF = ...,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[_SCT]: ...
|
|
@overload
|
|
def asanyarray(
|
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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]: ...
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|
@overload
|
|
def asanyarray(
|
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a: Any,
|
|
dtype: DTypeLike,
|
|
order: _OrderKACF = ...,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[Any]: ...
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|
@overload
|
|
def ascontiguousarray(
|
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a: _ArrayLike[_SCT],
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dtype: None = ...,
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*,
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like: None | _SupportsArrayFunc = ...,
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) -> NDArray[_SCT]: ...
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@overload
|
|
def ascontiguousarray(
|
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a: object,
|
|
dtype: None = ...,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[Any]: ...
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@overload
|
|
def ascontiguousarray(
|
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a: Any,
|
|
dtype: _DTypeLike[_SCT],
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[_SCT]: ...
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@overload
|
|
def ascontiguousarray(
|
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a: Any,
|
|
dtype: DTypeLike,
|
|
*,
|
|
like: None | _SupportsArrayFunc = ...,
|
|
) -> NDArray[Any]: ...
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|
|
|
@overload
|
|
def asfortranarray(
|
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a: _ArrayLike[_SCT],
|
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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, ...]: ...
|