| from matplotlib.tri import Triangulation, TriFinder | |
| from typing import Literal | |
| import numpy as np | |
| from numpy.typing import ArrayLike | |
| class TriInterpolator: | |
| def __init__( | |
| self, | |
| triangulation: Triangulation, | |
| z: ArrayLike, | |
| trifinder: TriFinder | None = ..., | |
| ) -> None: ... | |
| # __call__ and gradient are not actually implemented by the ABC, but are specified as required | |
| def __call__(self, x: ArrayLike, y: ArrayLike) -> np.ma.MaskedArray: ... | |
| def gradient( | |
| self, x: ArrayLike, y: ArrayLike | |
| ) -> tuple[np.ma.MaskedArray, np.ma.MaskedArray]: ... | |
| class LinearTriInterpolator(TriInterpolator): ... | |
| class CubicTriInterpolator(TriInterpolator): | |
| def __init__( | |
| self, | |
| triangulation: Triangulation, | |
| z: ArrayLike, | |
| kind: Literal["min_E", "geom", "user"] = ..., | |
| trifinder: TriFinder | None = ..., | |
| dz: tuple[ArrayLike, ArrayLike] | None = ..., | |
| ) -> None: ... | |