+ LV-j@^RIt.ROtRtRtRRltRRltRRltR#) NcJ^RIHpVP4P4#)rN)matplotlib.pyplotpyplotfiguregca)plts i/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/scipy/spatial/_plotutils.py _get_axesr s# ::<   c(R\P!V^R7,pVP^R7V, pVP^R7V,pVP V^,V^,4VP V^,V^,4R#)g?axisN)npptpminmaxset_xlimset_ylim)axpointsmarginxy_minxy_maxs&& r _adjust_boundsr sm 266&q) )F ZZQZ & (F ZZQZ & (FKKq 6!9%KKq 6!9%r cnVPP^,^8wd \R4hVPPwr#T;'g \ 4pVP W#R4VP W#VPP44\WP4VP#)a 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() z!Delaunay triangulation is not 2-Do) rshape ValueErrorTr plottriplot simplicescopyrr)trirxys&& r delaunay_plot_2dr'sX zza<== ::<>> 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() LineCollectionzConvex hull is not 2-Drksolid)colors linestyleNNNrr0) matplotlib.collectionsr*rrrr r r"add_collectionrr)hullrr*simplex line_segmentss&& r convex_hull_plot_2dr8NsX6 {{q 122  y{BGGDKK t{{40#69=Hg[[))MHn],//6892{{# 99 Is C#c ^RIHpVPP^,^8wd \ R4hT;'g \ 4pVP RR4'dJVP RR4pVPVPR,VPR,RVR7VP R R4'd6VPVPR,VPR,R 4VP R R 4pVP R R4pVP RR4pVPP^R7p\P!VP^R7p .p .p \VPVP4EFwr\P!V 4p \P !V ^84'd%V P#VPV ,4K_W^8,^,pVPV ^,,VPV ^,,, pV\P$P'V4,p\P(!V^,)V^,.4pVPV ,P^R7p\P*!\P,!VV, V44V,pVP.'dV)p\1V P34V P54, 4pVPV,VV P34,V,,pV P#VPV,V.4EK VP7V!V VVVRR74VP7V!V VVVRR74\9WP4VP:#)a 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. For degenerate input, including collinearity and other violations of general position, it may be preferable to calculate the Voronoi diagram with Qhull options ``QJ`` for random joggling, or ``Qt`` to enforce triangulated output. Otherwise, some Voronoi regions may not be visible. 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() r)zVoronoi diagram is not 2-D show_pointsT point_sizeN.) markersize show_verticesr line_colorsr+ line_widthg? line_alphar r,)r-lwalphar.dashedr/r1)r3r*rrrr getr verticesmeanrrzip ridge_pointsridge_verticesasarrayallappendlinalgnormarraysigndot furthest_siteabsrrr4rr)vorrkwr*r;r?r@rAcenter ptp_boundfinite_segmentsinfinite_segmentspointidxr6itnmidpoint direction aspect_factor far_points&&, r voronoi_plot_2drcsF6 zza566  y{B vvmT""VVL$/   4 #**T"2CJO vvot$$  T"CLL$6<&&,K c*J c*J ZZ__!_ $Fszz*IO !1!133E3EF**W% 66'Q,    " "3<<#8 91 %a(A 8A;'#**Xa[*AAA " "A1Q4%1'Azz(+00a08Hx&'8! <=AI!!!&J  )--/ ABM Q)immo*E *UUI  $ $cll1oy%A B%G(n_,7(2+5/6 89 n%6,7(2+5/7 9: 2zz" 99r )r'r8rc)N)numpyr__all__r rr'r8rcr r rgs) H &7t9xzr