Files
DronePlanning/backend_service/venv/lib/python3.13/site-packages/numpy/polynomial/chebyshev.pyi

181 lines
5.0 KiB
Python

from _typeshed import ConvertibleToInt
from collections.abc import Callable, Iterable
from typing import (
Any,
ClassVar,
Concatenate,
Final,
Literal as L,
Self,
TypeVar,
overload,
)
import numpy as np
import numpy.typing as npt
from numpy._typing import _IntLike_co
from ._polybase import ABCPolyBase
from ._polytypes import (
_Array1,
_Array2,
_CoefSeries,
_FuncBinOp,
_FuncCompanion,
_FuncDer,
_FuncFit,
_FuncFromRoots,
_FuncGauss,
_FuncInteg,
_FuncLine,
_FuncPoly2Ortho,
_FuncPow,
_FuncRoots,
_FuncUnOp,
_FuncVal,
_FuncVal2D,
_FuncVal3D,
_FuncVander,
_FuncVander2D,
_FuncVander3D,
_FuncWeight,
_Series,
_SeriesLikeCoef_co,
)
from .polyutils import trimcoef as chebtrim
__all__ = [
"chebzero",
"chebone",
"chebx",
"chebdomain",
"chebline",
"chebadd",
"chebsub",
"chebmulx",
"chebmul",
"chebdiv",
"chebpow",
"chebval",
"chebder",
"chebint",
"cheb2poly",
"poly2cheb",
"chebfromroots",
"chebvander",
"chebfit",
"chebtrim",
"chebroots",
"chebpts1",
"chebpts2",
"Chebyshev",
"chebval2d",
"chebval3d",
"chebgrid2d",
"chebgrid3d",
"chebvander2d",
"chebvander3d",
"chebcompanion",
"chebgauss",
"chebweight",
"chebinterpolate",
]
_NumberOrObjectT = TypeVar("_NumberOrObjectT", bound=np.number | np.object_)
_CoefScalarT = TypeVar("_CoefScalarT", bound=np.number | np.bool | np.object_)
def _cseries_to_zseries(c: npt.NDArray[_NumberOrObjectT]) -> _Series[_NumberOrObjectT]: ...
def _zseries_to_cseries(zs: npt.NDArray[_NumberOrObjectT]) -> _Series[_NumberOrObjectT]: ...
def _zseries_mul(z1: npt.NDArray[_NumberOrObjectT], z2: npt.NDArray[_NumberOrObjectT]) -> _Series[_NumberOrObjectT]: ...
def _zseries_div(z1: npt.NDArray[_NumberOrObjectT], z2: npt.NDArray[_NumberOrObjectT]) -> _Series[_NumberOrObjectT]: ...
def _zseries_der(zs: npt.NDArray[_NumberOrObjectT]) -> _Series[_NumberOrObjectT]: ...
def _zseries_int(zs: npt.NDArray[_NumberOrObjectT]) -> _Series[_NumberOrObjectT]: ...
poly2cheb: Final[_FuncPoly2Ortho] = ...
cheb2poly: Final[_FuncUnOp] = ...
chebdomain: Final[_Array2[np.float64]] = ...
chebzero: Final[_Array1[np.int_]] = ...
chebone: Final[_Array1[np.int_]] = ...
chebx: Final[_Array2[np.int_]] = ...
chebline: Final[_FuncLine] = ...
chebfromroots: Final[_FuncFromRoots] = ...
chebadd: Final[_FuncBinOp] = ...
chebsub: Final[_FuncBinOp] = ...
chebmulx: Final[_FuncUnOp] = ...
chebmul: Final[_FuncBinOp] = ...
chebdiv: Final[_FuncBinOp] = ...
chebpow: Final[_FuncPow] = ...
chebder: Final[_FuncDer] = ...
chebint: Final[_FuncInteg] = ...
chebval: Final[_FuncVal] = ...
chebval2d: Final[_FuncVal2D] = ...
chebval3d: Final[_FuncVal3D] = ...
chebgrid2d: Final[_FuncVal2D] = ...
chebgrid3d: Final[_FuncVal3D] = ...
chebvander: Final[_FuncVander] = ...
chebvander2d: Final[_FuncVander2D] = ...
chebvander3d: Final[_FuncVander3D] = ...
chebfit: Final[_FuncFit] = ...
chebcompanion: Final[_FuncCompanion] = ...
chebroots: Final[_FuncRoots] = ...
chebgauss: Final[_FuncGauss] = ...
chebweight: Final[_FuncWeight] = ...
def chebpts1(npts: ConvertibleToInt) -> np.ndarray[tuple[int], np.dtype[np.float64]]: ...
def chebpts2(npts: ConvertibleToInt) -> np.ndarray[tuple[int], np.dtype[np.float64]]: ...
# keep in sync with `Chebyshev.interpolate` (minus `domain` parameter)
@overload
def chebinterpolate(
func: np.ufunc,
deg: _IntLike_co,
args: tuple[()] = (),
) -> npt.NDArray[np.float64 | np.complex128 | np.object_]: ...
@overload
def chebinterpolate(
func: Callable[[npt.NDArray[np.float64]], _CoefScalarT],
deg: _IntLike_co,
args: tuple[()] = (),
) -> npt.NDArray[_CoefScalarT]: ...
@overload
def chebinterpolate(
func: Callable[Concatenate[npt.NDArray[np.float64], ...], _CoefScalarT],
deg: _IntLike_co,
args: Iterable[Any],
) -> npt.NDArray[_CoefScalarT]: ...
class Chebyshev(ABCPolyBase[L["T"]]):
basis_name: ClassVar[L["T"]] = "T" # pyright: ignore[reportIncompatibleMethodOverride]
domain: _Array2[np.float64 | Any] = ... # pyright: ignore[reportIncompatibleMethodOverride]
window: _Array2[np.float64 | Any] = ... # pyright: ignore[reportIncompatibleMethodOverride]
@overload
@classmethod
def interpolate(
cls,
func: Callable[[npt.NDArray[np.float64]], _CoefSeries],
deg: _IntLike_co,
domain: _SeriesLikeCoef_co | None = None,
args: tuple[()] = (),
) -> Self: ...
@overload
@classmethod
def interpolate(
cls,
func: Callable[Concatenate[npt.NDArray[np.float64], ...], _CoefSeries],
deg: _IntLike_co,
domain: _SeriesLikeCoef_co | None = None,
*,
args: Iterable[Any],
) -> Self: ...
@overload
@classmethod
def interpolate(
cls,
func: Callable[Concatenate[npt.NDArray[np.float64], ...], _CoefSeries],
deg: _IntLike_co,
domain: _SeriesLikeCoef_co | None,
args: Iterable[Any],
) -> Self: ...