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from _typeshed import Incomplete
from typing import Any, Literal as L, SupportsIndex, overload
import numpy as np
from numpy._typing import (
DTypeLike,
NDArray,
_ArrayLikeComplex_co,
_ArrayLikeFloat_co,
_ComplexLike_co,
_DTypeLike,
)
from numpy._typing._array_like import _DualArrayLike
__all__ = ["geomspace", "linspace", "logspace"]
type _Array1D[ScalarT: np.generic] = np.ndarray[tuple[int], np.dtype[ScalarT]]
type _ToFloat64 = float | np.integer | np.bool # `np.float64` is assignable to `float`
type _ToArrayFloat64 = _DualArrayLike[np.dtype[np.float64 | np.integer | np.bool], float]
###
@overload
def linspace(
start: _ToFloat64,
stop: _ToFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
dtype: None = None,
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> _Array1D[np.float64]: ...
@overload
def linspace(
start: complex,
stop: complex,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
dtype: None = None,
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> _Array1D[np.complex128 | Any]: ...
@overload
def linspace[ScalarT: np.generic](
start: _ComplexLike_co,
stop: _ComplexLike_co,
num: SupportsIndex,
endpoint: bool,
retstep: L[False],
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> _Array1D[ScalarT]: ...
@overload
def linspace[ScalarT: np.generic](
start: _ComplexLike_co,
stop: _ComplexLike_co,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
*,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> _Array1D[ScalarT]: ...
@overload
def linspace(
start: _ToArrayFloat64,
stop: _ToArrayFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
dtype: None = None,
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> NDArray[np.float64]: ...
@overload
def linspace(
start: _ArrayLikeFloat_co,
stop: _ArrayLikeFloat_co,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
dtype: None = None,
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> NDArray[np.float64 | Any]: ...
@overload
def linspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
dtype: None = None,
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> NDArray[np.complex128 | Any]: ...
@overload
def linspace[ScalarT: np.generic](
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex,
endpoint: bool,
retstep: L[False],
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> NDArray[ScalarT]: ...
@overload
def linspace[ScalarT: np.generic](
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
*,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> NDArray[ScalarT]: ...
@overload
def linspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
retstep: L[False] = False,
dtype: DTypeLike | None = None,
axis: SupportsIndex = 0,
*,
device: L["cpu"] | None = None,
) -> NDArray[Incomplete]: ...
@overload
def linspace(
start: _ToFloat64,
stop: _ToFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: None = None,
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[_Array1D[np.float64], np.float64]: ...
@overload
def linspace(
start: complex,
stop: complex,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: None = None,
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[_Array1D[np.complex128 | Any], np.complex128 | Any]: ...
@overload
def linspace[ScalarT: np.generic](
start: _ComplexLike_co,
stop: _ComplexLike_co,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[_Array1D[ScalarT], ScalarT]: ...
@overload
def linspace(
start: _ToArrayFloat64,
stop: _ToArrayFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: None = None,
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[NDArray[np.float64], np.float64]: ...
@overload
def linspace(
start: _ArrayLikeFloat_co,
stop: _ArrayLikeFloat_co,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: None = None,
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[NDArray[np.float64 | Any], np.float64 | Any]: ...
@overload
def linspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: None = None,
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[NDArray[np.complex128 | Any], np.complex128 | Any]: ...
@overload
def linspace[ScalarT: np.generic](
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[NDArray[ScalarT], ScalarT]: ...
@overload
def linspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
retstep: L[True],
dtype: DTypeLike | None = None,
axis: SupportsIndex = 0,
device: L["cpu"] | None = None,
) -> tuple[NDArray[Incomplete], Incomplete]: ...
#
@overload
def logspace(
start: _ToFloat64,
stop: _ToFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
base: _ToFloat64 = 10.0,
dtype: None = None,
axis: SupportsIndex = 0,
) -> _Array1D[np.float64]: ...
@overload
def logspace(
start: complex,
stop: complex,
num: SupportsIndex = 50,
endpoint: bool = True,
base: complex = 10.0,
dtype: None = None,
axis: SupportsIndex = 0,
) -> _Array1D[np.complex128 | Any]: ...
@overload
def logspace[ScalarT: np.generic](
start: _ComplexLike_co,
stop: _ComplexLike_co,
num: SupportsIndex,
endpoint: bool,
base: _ComplexLike_co,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> _Array1D[ScalarT]: ...
@overload
def logspace[ScalarT: np.generic](
start: _ComplexLike_co,
stop: _ComplexLike_co,
num: SupportsIndex = 50,
endpoint: bool = True,
base: _ArrayLikeComplex_co = 10.0,
*,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> _Array1D[ScalarT]: ...
@overload
def logspace(
start: _ToArrayFloat64,
stop: _ToArrayFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
base: _ToArrayFloat64 = 10.0,
dtype: None = None,
axis: SupportsIndex = 0,
) -> NDArray[np.float64]: ...
@overload
def logspace(
start: _ArrayLikeFloat_co,
stop: _ArrayLikeFloat_co,
num: SupportsIndex = 50,
endpoint: bool = True,
base: _ArrayLikeFloat_co = 10.0,
dtype: None = None,
axis: SupportsIndex = 0,
) -> NDArray[np.float64 | Any]: ...
@overload
def logspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
base: _ArrayLikeComplex_co = 10.0,
dtype: None = None,
axis: SupportsIndex = 0,
) -> NDArray[np.complex128 | Any]: ...
@overload
def logspace[ScalarT: np.generic](
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex,
endpoint: bool,
base: _ArrayLikeComplex_co,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> NDArray[ScalarT]: ...
@overload
def logspace[ScalarT: np.generic](
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
base: _ArrayLikeComplex_co = 10.0,
*,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> NDArray[ScalarT]: ...
@overload
def logspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
base: _ArrayLikeComplex_co = 10.0,
dtype: DTypeLike | None = None,
axis: SupportsIndex = 0,
) -> NDArray[Incomplete]: ...
#
@overload
def geomspace(
start: _ToFloat64,
stop: _ToFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
dtype: None = None,
axis: SupportsIndex = 0,
) -> _Array1D[np.float64]: ...
@overload
def geomspace(
start: complex,
stop: complex,
num: SupportsIndex = 50,
endpoint: bool = True,
dtype: None = None,
axis: SupportsIndex = 0,
) -> _Array1D[np.complex128 | Any]: ...
@overload
def geomspace[ScalarT: np.generic](
start: _ComplexLike_co,
stop: _ComplexLike_co,
num: SupportsIndex,
endpoint: bool,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> _Array1D[ScalarT]: ...
@overload
def geomspace[ScalarT: np.generic](
start: _ComplexLike_co,
stop: _ComplexLike_co,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> _Array1D[ScalarT]: ...
@overload
def geomspace(
start: _ToArrayFloat64,
stop: _ToArrayFloat64,
num: SupportsIndex = 50,
endpoint: bool = True,
dtype: None = None,
axis: SupportsIndex = 0,
) -> NDArray[np.float64]: ...
@overload
def geomspace(
start: _ArrayLikeFloat_co,
stop: _ArrayLikeFloat_co,
num: SupportsIndex = 50,
endpoint: bool = True,
dtype: None = None,
axis: SupportsIndex = 0,
) -> NDArray[np.float64 | Any]: ...
@overload
def geomspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
dtype: None = None,
axis: SupportsIndex = 0,
) -> NDArray[np.complex128 | Any]: ...
@overload
def geomspace[ScalarT: np.generic](
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex,
endpoint: bool,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> NDArray[ScalarT]: ...
@overload
def geomspace[ScalarT: np.generic](
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
*,
dtype: _DTypeLike[ScalarT],
axis: SupportsIndex = 0,
) -> NDArray[ScalarT]: ...
@overload
def geomspace(
start: _ArrayLikeComplex_co,
stop: _ArrayLikeComplex_co,
num: SupportsIndex = 50,
endpoint: bool = True,
dtype: DTypeLike | None = None,
axis: SupportsIndex = 0,
) -> NDArray[Incomplete]: ...
#
def add_newdoc(
place: str,
obj: str,
doc: str | tuple[str, str] | list[tuple[str, str]],
warn_on_python: bool = True,
) -> None: ...