37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
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# This is a private module implemented in C++
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from typing import final
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import numpy as np
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import numpy.typing as npt
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@final
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class TrapezoidMapTriFinder:
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def __init__(self, triangulation: Triangulation): ...
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def find_many(self, x: npt.NDArray[np.float64], y: npt.NDArray[np.float64]) -> npt.NDArray[np.int_]: ...
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def get_tree_stats(self) -> list[int | float]: ...
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def initialize(self) -> None: ...
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def print_tree(self) -> None: ...
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@final
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class TriContourGenerator:
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def __init__(self, triangulation: Triangulation, z: npt.NDArray[np.float64]): ...
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def create_contour(self, level: float) -> tuple[list[float], list[int]]: ...
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def create_filled_contour(self, lower_level: float, upper_level: float) -> tuple[list[float], list[int]]: ...
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@final
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class Triangulation:
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def __init__(
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self,
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x: npt.NDArray[np.float64],
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y: npt.NDArray[np.float64],
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triangles: npt.NDArray[np.int_],
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mask: npt.NDArray[np.bool_] | tuple[()],
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edges: npt.NDArray[np.int_] | tuple[()],
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neighbors: npt.NDArray[np.int_] | tuple[()],
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correct_triangle_orientation: bool,
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): ...
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def calculate_plane_coefficients(self, z: npt.ArrayLike) -> npt.NDArray[np.float64]: ...
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def get_edges(self) -> npt.NDArray[np.int_]: ...
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def get_neighbors(self) -> npt.NDArray[np.int_]: ...
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def set_mask(self, mask: npt.NDArray[np.bool_] | tuple[()]) -> None: ...
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