""" This type stub file was generated by pyright. """ import numpy as np from matplotlib.path import Path from numpy.typing import ArrayLike class HatchPatternBase: ... class HorizontalHatch(HatchPatternBase): num_lines: int num_vertices: int def __init__(self, hatch: str, density: int) -> None: ... def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ... class VerticalHatch(HatchPatternBase): num_lines: int num_vertices: int def __init__(self, hatch: str, density: int) -> None: ... def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ... class NorthEastHatch(HatchPatternBase): num_lines: int num_vertices: int def __init__(self, hatch: str, density: int) -> None: ... def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ... class SouthEastHatch(HatchPatternBase): num_lines: int num_vertices: int def __init__(self, hatch: str, density: int) -> None: ... def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ... class Shapes(HatchPatternBase): filled: bool num_shapes: int num_vertices: int def __init__(self, hatch: str, density: int) -> None: ... def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ... class Circles(Shapes): shape_vertices: np.ndarray shape_codes: np.ndarray def __init__(self, hatch: str, density: int) -> None: ... class SmallCircles(Circles): size: float num_rows: int def __init__(self, hatch: str, density: int) -> None: ... class LargeCircles(Circles): size: float num_rows: int def __init__(self, hatch: str, density: int) -> None: ... class SmallFilledCircles(Circles): size: float filled: bool num_rows: int def __init__(self, hatch: str, density: int) -> None: ... class Stars(Shapes): size: float filled: bool num_rows: int shape_vertices: np.ndarray shape_codes: np.ndarray def __init__(self, hatch: str, density: int) -> None: ... def get_path(hatchpattern: str, density: int = ...) -> Path: ...