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'''
Static type checking stub file for scipy/spatial/qhull.pyx
'''
import numpy as np
from numpy.typing import ArrayLike, NDArray
from typing_extensions import final
class QhullError(RuntimeError):
...
@final
class _Qhull:
# Read-only cython attribute that behaves, more or less, like a property
@property
def ndim(self) -> int: ...
mode_option: bytes
options: bytes
furthest_site: bool
def __init__(
self,
mode_option: bytes,
points: NDArray[np.float64],
options: None | bytes = ...,
required_options: None | bytes = ...,
furthest_site: bool = ...,
incremental: bool = ...,
interior_point: None | NDArray[np.float64] = ...,
) -> None: ...
def check_active(self) -> None: ...
def close(self) -> None: ...
def get_points(self) -> NDArray[np.float64]: ...
def add_points(
self,
points: ArrayLike,
interior_point: ArrayLike = ...
) -> None: ...
def get_paraboloid_shift_scale(self) -> tuple[float, float]: ...
def volume_area(self) -> tuple[float, float]: ...
def triangulate(self) -> None: ...
def get_simplex_facet_array(self) -> tuple[
NDArray[np.intc],
NDArray[np.intc],
NDArray[np.float64],
NDArray[np.intc],
NDArray[np.intc],
]: ...
def get_hull_points(self) -> NDArray[np.float64]: ...
def get_hull_facets(self) -> tuple[
list[list[int]],
NDArray[np.float64],
]: ...
def get_voronoi_diagram(self) -> tuple[
NDArray[np.float64],
NDArray[np.intc],
list[list[int]],
list[list[int]],
NDArray[np.intp],
]: ...
def get_extremes_2d(self) -> NDArray[np.intc]: ...
def _get_barycentric_transforms(
points: NDArray[np.float64],
simplices: NDArray[np.intc],
eps: float
) -> NDArray[np.float64]: ...
class _QhullUser:
ndim: int
npoints: int
min_bound: NDArray[np.float64]
max_bound: NDArray[np.float64]
def __init__(self, qhull: _Qhull, incremental: bool = ...) -> None: ...
def close(self) -> None: ...
def _update(self, qhull: _Qhull) -> None: ...
def _add_points(
self,
points: ArrayLike,
restart: bool = ...,
interior_point: ArrayLike = ...
) -> None: ...
class Delaunay(_QhullUser):
furthest_site: bool
paraboloid_scale: float
paraboloid_shift: float
simplices: NDArray[np.intc]
neighbors: NDArray[np.intc]
equations: NDArray[np.float64]
coplanar: NDArray[np.intc]
good: NDArray[np.intc]
nsimplex: int
vertices: NDArray[np.intc]
def __init__(
self,
points: ArrayLike,
furthest_site: bool = ...,
incremental: bool = ...,
qhull_options: None | str = ...
) -> None: ...
def _update(self, qhull: _Qhull) -> None: ...
def add_points(
self,
points: ArrayLike,
restart: bool = ...
) -> None: ...
@property
def points(self) -> NDArray[np.float64]: ...
@property
def transform(self) -> NDArray[np.float64]: ...
@property
def vertex_to_simplex(self) -> NDArray[np.intc]: ...
@property
def vertex_neighbor_vertices(self) -> tuple[
NDArray[np.intc],
NDArray[np.intc],
]: ...
@property
def convex_hull(self) -> NDArray[np.intc]: ...
def find_simplex(
self,
xi: ArrayLike,
bruteforce: bool = ...,
tol: float = ...
) -> NDArray[np.intc]: ...
def plane_distance(self, xi: ArrayLike) -> NDArray[np.float64]: ...
def lift_points(self, x: ArrayLike) -> NDArray[np.float64]: ...
def tsearch(tri: Delaunay, xi: ArrayLike) -> NDArray[np.intc]: ...
def _copy_docstr(dst: object, src: object) -> None: ...
class ConvexHull(_QhullUser):
simplices: NDArray[np.intc]
neighbors: NDArray[np.intc]
equations: NDArray[np.float64]
coplanar: NDArray[np.intc]
good: None | NDArray[np.bool_]
volume: float
area: float
nsimplex: int
def __init__(
self,
points: ArrayLike,
incremental: bool = ...,
qhull_options: None | str = ...
) -> None: ...
def _update(self, qhull: _Qhull) -> None: ...
def add_points(self, points: ArrayLike,
restart: bool = ...) -> None: ...
@property
def points(self) -> NDArray[np.float64]: ...
@property
def vertices(self) -> NDArray[np.intc]: ...
class Voronoi(_QhullUser):
vertices: NDArray[np.float64]
ridge_points: NDArray[np.intc]
ridge_vertices: list[list[int]]
regions: list[list[int]]
point_region: NDArray[np.intp]
furthest_site: bool
def __init__(
self,
points: ArrayLike,
furthest_site: bool = ...,
incremental: bool = ...,
qhull_options: None | str = ...
) -> None: ...
def _update(self, qhull: _Qhull) -> None: ...
def add_points(
self,
points: ArrayLike,
restart: bool = ...
) -> None: ...
@property
def points(self) -> NDArray[np.float64]: ...
@property
def ridge_dict(self) -> dict[tuple[int, int], list[int]]: ...
class HalfspaceIntersection(_QhullUser):
interior_point: NDArray[np.float64]
dual_facets: list[list[int]]
dual_equations: NDArray[np.float64]
dual_points: NDArray[np.float64]
dual_volume: float
dual_area: float
intersections: NDArray[np.float64]
ndim: int
nineq: int
def __init__(
self,
halfspaces: ArrayLike,
interior_point: ArrayLike,
incremental: bool = ...,
qhull_options: None | str = ...
) -> None: ...
def _update(self, qhull: _Qhull) -> None: ...
def add_halfspaces(
self,
halfspaces: ArrayLike,
restart: bool = ...
) -> None: ...
@property
def halfspaces(self) -> NDArray[np.float64]: ...
@property
def dual_vertices(self) -> NDArray[np.integer]: ...
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