1-Ph ddlZdgZdZdS)N label_pointsc|jdt|krtdtj|dkrtdt tjtj|td}tj |tj }tj d|jddz||<|S)aAssign unique integer labels to coordinates on an image mask Parameters ---------- coords: ndarray An array of N coordinates with dimension D output_shape: tuple The shape of the mask on which `coords` are labelled Returns ------- labels: ndarray A mask of zeroes containing unique integer labels at the `coords` Examples -------- >>> import numpy as np >>> from skimage.util._label import label_points >>> coords = np.array([[0, 1], [2, 2]]) >>> output_shape = (5, 5) >>> mask = label_points(coords, output_shape) >>> mask array([[0, 1, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]], dtype=uint64) Notes ----- - The labels are assigned to coordinates that are converted to integer and considered to start from 0. - Coordinates that are out of range of the mask raise an IndexError. - Negative coordinates raise a ValueError z6Dimensionality of points should match the output shaperz/Coordinates should be positive and start from 0F)copy)dtype) shapelen ValueErrornpanytuple transposeroundastypeintzerosuint64arange)coords output_shape np_indiceslabelss S/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/util/_label.pyrrsH|A#l++++TUUU vfqjLJKKKr|BHV$4$4$;$;Ce$;$L$LMMNNJ Xl") 4 4 4F1fl1o&9::F: M)numpyr __all__rrrrs2  -----r