golden hour

/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/lib

File/Folder	Size	Actions
__init__.py	2.7 KB
__init__.pyi	5.46 KB
__pycache__	-
_datasource.py	22.1 KB
_iotools.py	30.14 KB
_version.py	4.74 KB
_version.pyi	633 B
arraypad.py	31.06 KB
arraypad.pyi	1.69 KB
arraysetops.py	32.87 KB
arraysetops.pyi	8.14 KB
arrayterator.py	6.9 KB
arrayterator.pyi	1.5 KB
format.py	33.95 KB
format.pyi	748 B
function_base.py	184.67 KB
function_base.pyi	16.2 KB
histograms.py	36.81 KB
histograms.pyi	995 B
index_tricks.py	30.61 KB
index_tricks.pyi	4.15 KB
mixins.py	6.91 KB
mixins.pyi	3.04 KB
nanfunctions.py	64.23 KB
nanfunctions.pyi	606 B
npyio.py	95.04 KB
npyio.pyi	9.5 KB
polynomial.py	43.1 KB
polynomial.pyi	6.79 KB
recfunctions.py	58.03 KB
scimath.py	14.68 KB
scimath.pyi	2.82 KB
setup.py	405 B
shape_base.py	38.03 KB
shape_base.pyi	5.06 KB
stride_tricks.py	17.49 KB
stride_tricks.pyi	1.71 KB
tests	-
twodim_base.py	32.17 KB
twodim_base.pyi	5.24 KB
type_check.py	19.49 KB
type_check.pyi	5.44 KB
ufunclike.py	6.18 KB
ufunclike.pyi	1.26 KB
user_array.py	7.54 KB
utils.py	36.92 KB
utils.pyi	2.3 KB

Edit: polynomial.pyi

from typing import (
    Literal as L,
    overload,
    Any,
    SupportsInt,
    SupportsIndex,
    TypeVar,
    NoReturn,
)

from numpy import (
    RankWarning as RankWarning,
    poly1d as poly1d,
    unsignedinteger,
    signedinteger,
    floating,
    complexfloating,
    bool_,
    int32,
    int64,
    float64,
    complex128,
    object_,
)

from numpy._typing import (
    NDArray,
    ArrayLike,
    _ArrayLikeBool_co,
    _ArrayLikeUInt_co,
    _ArrayLikeInt_co,
    _ArrayLikeFloat_co,
    _ArrayLikeComplex_co,
    _ArrayLikeObject_co,
)

_T = TypeVar("_T")

_2Tup = tuple[_T, _T]
_5Tup = tuple[
    _T,
    NDArray[float64],
    NDArray[int32],
    NDArray[float64],
    NDArray[float64],
]

__all__: list[str]

def poly(seq_of_zeros: ArrayLike) -> NDArray[floating[Any]]: ...

# Returns either a float or complex array depending on the input values.
# See `np.linalg.eigvals`.
def roots(p: ArrayLike) -> NDArray[complexfloating[Any, Any]] | NDArray[floating[Any]]: ...

@overload
def polyint(
    p: poly1d,
    m: SupportsInt | SupportsIndex = ...,
    k: None | _ArrayLikeComplex_co | _ArrayLikeObject_co = ...,
) -> poly1d: ...
@overload
def polyint(
    p: _ArrayLikeFloat_co,
    m: SupportsInt | SupportsIndex = ...,
    k: None | _ArrayLikeFloat_co = ...,
) -> NDArray[floating[Any]]: ...
@overload
def polyint(
    p: _ArrayLikeComplex_co,
    m: SupportsInt | SupportsIndex = ...,
    k: None | _ArrayLikeComplex_co = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def polyint(
    p: _ArrayLikeObject_co,
    m: SupportsInt | SupportsIndex = ...,
    k: None | _ArrayLikeObject_co = ...,
) -> NDArray[object_]: ...

@overload
def polyder(
    p: poly1d,
    m: SupportsInt | SupportsIndex = ...,
) -> poly1d: ...
@overload
def polyder(
    p: _ArrayLikeFloat_co,
    m: SupportsInt | SupportsIndex = ...,
) -> NDArray[floating[Any]]: ...
@overload
def polyder(
    p: _ArrayLikeComplex_co,
    m: SupportsInt | SupportsIndex = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def polyder(
    p: _ArrayLikeObject_co,
    m: SupportsInt | SupportsIndex = ...,
) -> NDArray[object_]: ...

@overload
def polyfit(
    x: _ArrayLikeFloat_co,
    y: _ArrayLikeFloat_co,
    deg: SupportsIndex | SupportsInt,
    rcond: None | float = ...,
    full: L[False] = ...,
    w: None | _ArrayLikeFloat_co = ...,
    cov: L[False] = ...,
) -> NDArray[float64]: ...
@overload
def polyfit(
    x: _ArrayLikeComplex_co,
    y: _ArrayLikeComplex_co,
    deg: SupportsIndex | SupportsInt,
    rcond: None | float = ...,
    full: L[False] = ...,
    w: None | _ArrayLikeFloat_co = ...,
    cov: L[False] = ...,
) -> NDArray[complex128]: ...
@overload
def polyfit(
    x: _ArrayLikeFloat_co,
    y: _ArrayLikeFloat_co,
    deg: SupportsIndex | SupportsInt,
    rcond: None | float = ...,
    full: L[False] = ...,
    w: None | _ArrayLikeFloat_co = ...,
    cov: L[True, "unscaled"] = ...,
) -> _2Tup[NDArray[float64]]: ...
@overload
def polyfit(
    x: _ArrayLikeComplex_co,
    y: _ArrayLikeComplex_co,
    deg: SupportsIndex | SupportsInt,
    rcond: None | float = ...,
    full: L[False] = ...,
    w: None | _ArrayLikeFloat_co = ...,
    cov: L[True, "unscaled"] = ...,
) -> _2Tup[NDArray[complex128]]: ...
@overload
def polyfit(
    x: _ArrayLikeFloat_co,
    y: _ArrayLikeFloat_co,
    deg: SupportsIndex | SupportsInt,
    rcond: None | float = ...,
    full: L[True] = ...,
    w: None | _ArrayLikeFloat_co = ...,
    cov: bool | L["unscaled"] = ...,
) -> _5Tup[NDArray[float64]]: ...
@overload
def polyfit(
    x: _ArrayLikeComplex_co,
    y: _ArrayLikeComplex_co,
    deg: SupportsIndex | SupportsInt,
    rcond: None | float = ...,
    full: L[True] = ...,
    w: None | _ArrayLikeFloat_co = ...,
    cov: bool | L["unscaled"] = ...,
) -> _5Tup[NDArray[complex128]]: ...

@overload
def polyval(
    p: _ArrayLikeBool_co,
    x: _ArrayLikeBool_co,
) -> NDArray[int64]: ...
@overload
def polyval(
    p: _ArrayLikeUInt_co,
    x: _ArrayLikeUInt_co,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def polyval(
    p: _ArrayLikeInt_co,
    x: _ArrayLikeInt_co,
) -> NDArray[signedinteger[Any]]: ...
@overload
def polyval(
    p: _ArrayLikeFloat_co,
    x: _ArrayLikeFloat_co,
) -> NDArray[floating[Any]]: ...
@overload
def polyval(
    p: _ArrayLikeComplex_co,
    x: _ArrayLikeComplex_co,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def polyval(
    p: _ArrayLikeObject_co,
    x: _ArrayLikeObject_co,
) -> NDArray[object_]: ...

@overload
def polyadd(
    a1: poly1d,
    a2: _ArrayLikeComplex_co | _ArrayLikeObject_co,
) -> poly1d: ...
@overload
def polyadd(
    a1: _ArrayLikeComplex_co | _ArrayLikeObject_co,
    a2: poly1d,
) -> poly1d: ...
@overload
def polyadd(
    a1: _ArrayLikeBool_co,
    a2: _ArrayLikeBool_co,
) -> NDArray[bool_]: ...
@overload
def polyadd(
    a1: _ArrayLikeUInt_co,
    a2: _ArrayLikeUInt_co,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def polyadd(
    a1: _ArrayLikeInt_co,
    a2: _ArrayLikeInt_co,
) -> NDArray[signedinteger[Any]]: ...
@overload
def polyadd(
    a1: _ArrayLikeFloat_co,
    a2: _ArrayLikeFloat_co,
) -> NDArray[floating[Any]]: ...
@overload
def polyadd(
    a1: _ArrayLikeComplex_co,
    a2: _ArrayLikeComplex_co,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def polyadd(
    a1: _ArrayLikeObject_co,
    a2: _ArrayLikeObject_co,
) -> NDArray[object_]: ...

@overload
def polysub(
    a1: poly1d,
    a2: _ArrayLikeComplex_co | _ArrayLikeObject_co,
) -> poly1d: ...
@overload
def polysub(
    a1: _ArrayLikeComplex_co | _ArrayLikeObject_co,
    a2: poly1d,
) -> poly1d: ...
@overload
def polysub(
    a1: _ArrayLikeBool_co,
    a2: _ArrayLikeBool_co,
) -> NoReturn: ...
@overload
def polysub(
    a1: _ArrayLikeUInt_co,
    a2: _ArrayLikeUInt_co,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def polysub(
    a1: _ArrayLikeInt_co,
    a2: _ArrayLikeInt_co,
) -> NDArray[signedinteger[Any]]: ...
@overload
def polysub(
    a1: _ArrayLikeFloat_co,
    a2: _ArrayLikeFloat_co,
) -> NDArray[floating[Any]]: ...
@overload
def polysub(
    a1: _ArrayLikeComplex_co,
    a2: _ArrayLikeComplex_co,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def polysub(
    a1: _ArrayLikeObject_co,
    a2: _ArrayLikeObject_co,
) -> NDArray[object_]: ...

# NOTE: Not an alias, but they do have the same signature (that we can reuse)
polymul = polyadd

@overload
def polydiv(
    u: poly1d,
    v: _ArrayLikeComplex_co | _ArrayLikeObject_co,
) -> _2Tup[poly1d]: ...
@overload
def polydiv(
    u: _ArrayLikeComplex_co | _ArrayLikeObject_co,
    v: poly1d,
) -> _2Tup[poly1d]: ...
@overload
def polydiv(
    u: _ArrayLikeFloat_co,
    v: _ArrayLikeFloat_co,
) -> _2Tup[NDArray[floating[Any]]]: ...
@overload
def polydiv(
    u: _ArrayLikeComplex_co,
    v: _ArrayLikeComplex_co,
) -> _2Tup[NDArray[complexfloating[Any, Any]]]: ...
@overload
def polydiv(
    u: _ArrayLikeObject_co,
    v: _ArrayLikeObject_co,
) -> _2Tup[NDArray[Any]]: ...