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Files and Folders in: //opt/cloudlinux/venv/lib64/python3.11//site-packages/numpy/lib

NameTypeSizeLast ModifiedActions
__pycache__ Directory - -
tests Directory - -
__init__.py File 2763 bytes April 17 2025 13:10:58.
__init__.pyi File 5596 bytes April 17 2025 13:10:58.
_datasource.py File 22631 bytes April 17 2025 13:10:58.
_iotools.py File 30868 bytes April 17 2025 13:10:58.
_version.py File 4855 bytes April 17 2025 13:10:58.
_version.pyi File 633 bytes April 17 2025 13:10:58.
arraypad.py File 31803 bytes April 17 2025 13:10:58.
arraypad.pyi File 1728 bytes April 17 2025 13:10:58.
arraysetops.py File 33655 bytes April 17 2025 13:10:58.
arraysetops.pyi File 8337 bytes April 17 2025 13:10:58.
arrayterator.py File 7063 bytes April 17 2025 13:10:58.
arrayterator.pyi File 1537 bytes April 17 2025 13:10:58.
format.py File 34769 bytes April 17 2025 13:10:58.
format.pyi File 748 bytes April 17 2025 13:10:58.
function_base.py File 189103 bytes April 17 2025 13:10:58.
function_base.pyi File 16585 bytes April 17 2025 13:10:58.
histograms.py File 37697 bytes April 17 2025 13:10:58.
histograms.pyi File 995 bytes April 17 2025 13:10:58.
index_tricks.py File 31346 bytes April 17 2025 13:10:58.
index_tricks.pyi File 4251 bytes April 17 2025 13:10:58.
mixins.py File 7071 bytes April 17 2025 13:10:58.
mixins.pyi File 3117 bytes April 17 2025 13:10:58.
nanfunctions.py File 65775 bytes April 17 2025 13:10:58.
nanfunctions.pyi File 606 bytes April 17 2025 13:10:58.
npyio.py File 97316 bytes April 17 2025 13:10:58.
npyio.pyi File 9728 bytes April 17 2025 13:10:58.
polynomial.py File 44133 bytes April 17 2025 13:10:58.
polynomial.pyi File 6958 bytes April 17 2025 13:10:58.
recfunctions.py File 59423 bytes April 17 2025 13:10:58.
scimath.py File 15037 bytes April 17 2025 13:10:58.
scimath.pyi File 2883 bytes April 17 2025 13:10:58.
setup.py File 405 bytes April 17 2025 13:10:58.
shape_base.py File 38947 bytes April 17 2025 13:10:58.
shape_base.pyi File 5184 bytes April 17 2025 13:10:58.
stride_tricks.py File 17911 bytes April 17 2025 13:10:58.
stride_tricks.pyi File 1747 bytes April 17 2025 13:10:58.
twodim_base.py File 32947 bytes April 17 2025 13:10:58.
twodim_base.pyi File 5370 bytes April 17 2025 13:10:58.
type_check.py File 19954 bytes April 17 2025 13:10:58.
type_check.pyi File 5571 bytes April 17 2025 13:10:58.
ufunclike.py File 6325 bytes April 17 2025 13:10:58.
ufunclike.pyi File 1293 bytes April 17 2025 13:10:58.
user_array.py File 7721 bytes April 17 2025 13:10:58.
utils.py File 37804 bytes April 17 2025 13:10:58.
utils.pyi File 2360 bytes April 17 2025 13:10:58.

Reading File: //opt/cloudlinux/venv/lib64/python3.11//site-packages/numpy/lib/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]]: ...

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