+ Ai"^RItR.tRtR#)N label_pointsc VP^,\V48wd \R4h\P!V^84'd \R4h\ \P !\P!V4P\RR744p\P!V\PR7p\P!^VP^,^,4W2&V#)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 shapez/Coordinates should be positive and start from 0F)copy)dtype) shapelen ValueErrornpanytuple transposeroundastypeintzerosuint64arange)coords output_shape np_indiceslabelss&& Q/var/www/html/photoedit/myenv/lib/python3.14/site-packages/skimage/util/_label.pyrrsH||A#l++TUU vvfqjJKKr||BHHV$4$;$;Ce$;$LMNJ XXl")) 4F1fll1o&9:F M)numpyr __all__rrrrs  -r