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dS )é    N)Ú	decorator)Údelaunay_plot_2dÚconvex_hull_plot_2dÚvoronoi_plot_2dc              	   K   sš   dd l m} |d u r| ¡ }| ¡ }| |fd|i|¤ŽS t|ddd„ ƒƒ }|r1| |fd|i|¤ŽS z| d¡ | |fd|i|¤ŽW | |¡ S | |¡ w )Nr   ÚaxZisholdc                   S   s   dS )NT© r   r   r   úg/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/scipy/spatial/_plotutils.pyÚ<lambda>   s    z_held_figure.<locals>.<lambda>T)Zmatplotlib.pyplotZpyplotÚfigureZgcaÚgetattrZhold)ÚfuncÚobjr   ÚkwZpltZfigZwas_heldr   r   r   Ú_held_figure   s   
r   c                 C   s\   d|j dd }|jdd| }|jdd| }|  |d |d ¡ |  |d |d ¡ d S )Ngš™™™™™¹?r   ©Zaxisé   )ÚptpÚminÚmaxZset_xlimZset_ylim)r   ÚpointsÚmarginZxy_minZxy_maxr   r   r   Ú_adjust_bounds   s
   r   c                 C   sX   | j jd dkrtdƒ‚| j j\}}| ||d¡ | ||| j ¡ ¡ t|| j ƒ |j	S )aB  
    Plot the given Delaunay triangulation in 2-D

    Parameters
    ----------
    tri : scipy.spatial.Delaunay instance
        Triangulation to plot
    ax : matplotlib.axes.Axes instance, optional
        Axes to plot on

    Returns
    -------
    fig : matplotlib.figure.Figure instance
        Figure for the plot

    See Also
    --------
    Delaunay
    matplotlib.pyplot.triplot

    Notes
    -----
    Requires Matplotlib.

    Examples
    --------

    >>> import numpy as np
    >>> import matplotlib.pyplot as plt
    >>> from scipy.spatial import Delaunay, delaunay_plot_2d

    The Delaunay triangulation of a set of random points:

    >>> rng = np.random.default_rng()
    >>> points = rng.random((30, 2))
    >>> tri = Delaunay(points)

    Plot it:

    >>> _ = delaunay_plot_2d(tri)
    >>> plt.show()

    r   é   z!Delaunay triangulation is not 2-DÚo)
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dd¡ t|ˆ jƒ |j	S )a&  
    Plot the given convex hull diagram in 2-D

    Parameters
    ----------
    hull : scipy.spatial.ConvexHull instance
        Convex hull to plot
    ax : matplotlib.axes.Axes instance, optional
        Axes to plot on

    Returns
    -------
    fig : matplotlib.figure.Figure instance
        Figure for the plot

    See Also
    --------
    ConvexHull

    Notes
    -----
    Requires Matplotlib.


    Examples
    --------

    >>> import numpy as np
    >>> import matplotlib.pyplot as plt
    >>> from scipy.spatial import ConvexHull, convex_hull_plot_2d

    The convex hull of a random set of points:

    >>> rng = np.random.default_rng()
    >>> points = rng.random((30, 2))
    >>> hull = ConvexHull(points)

    Plot it:

    >>> _ = convex_hull_plot_2d(hull)
    >>> plt.show()

    r   ©ÚLineCollectionr   r   zConvex hull is not 2-DNr   c                    s   g | ]}ˆ j | ‘qS r   )r   )Ú.0Úsimplex©Úhullr   r   Ú
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   )r'   r   r#   Zline_segmentsr   r&   r   r   ]   s   -*þr   c              	   K   s"  ddl m} | jjd dkrtdƒ‚| dd¡r5| dd	¡}|j| jd	d	…df | jd	d	…df d
|d | dd¡rP| | jd	d	…df | jd	d	…df d¡ | dd¡}| dd¡}| dd¡}| jjdd}| jj	dd}	g }
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    Plot the given Voronoi diagram in 2-D

    Parameters
    ----------
    vor : scipy.spatial.Voronoi instance
        Diagram to plot
    ax : matplotlib.axes.Axes instance, optional
        Axes to plot on
    show_points : bool, optional
        Add the Voronoi points to the plot.
    show_vertices : bool, optional
        Add the Voronoi vertices to the plot.
    line_colors : string, optional
        Specifies the line color for polygon boundaries
    line_width : float, optional
        Specifies the line width for polygon boundaries
    line_alpha : float, optional
        Specifies the line alpha for polygon boundaries
    point_size : float, optional
        Specifies the size of points

    Returns
    -------
    fig : matplotlib.figure.Figure instance
        Figure for the plot

    See Also
    --------
    Voronoi

    Notes
    -----
    Requires Matplotlib.

    Examples
    --------
    >>> import numpy as np
    >>> import matplotlib.pyplot as plt
    >>> from scipy.spatial import Voronoi, voronoi_plot_2d

    Create a set of points for the example:

    >>> rng = np.random.default_rng()
    >>> points = rng.random((10,2))

    Generate the Voronoi diagram for the points:

    >>> vor = Voronoi(points)

    Use `voronoi_plot_2d` to plot the diagram:

    >>> fig = voronoi_plot_2d(vor)

    Use `voronoi_plot_2d` to plot the diagram again, with some settings
    customized:

    >>> fig = voronoi_plot_2d(vor, show_vertices=False, line_colors='orange',
    ...                       line_width=2, line_alpha=0.6, point_size=2)
    >>> plt.show()

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üür   )N)Únumpyr8   Zscipy._lib.decoratorr   Z
_decoratorÚ__all__r   r   r   r   r   r   r   r   r   Ú<module>   s    8;