|h"ddlZddlmZ ddZy)N)gaussianctjj|}t|g|z}tj|}t t d|z |zd}||j||fzjt } d|td| D<t|d|z|zd}tj|dd|z z} tj|| kS)a Generate synthetic binary image with several rounded blob-like objects. Parameters ---------- length : int, optional Linear size of output image. blob_size_fraction : float, optional Typical linear size of blob, as a fraction of ``length``, should be smaller than 1. n_dim : int, optional Number of dimensions of output image. volume_fraction : float, default 0.5 Fraction of image pixels covered by the blobs (where the output is 1). Should be in [0, 1]. rng : {`numpy.random.Generator`, int}, optional Pseudo-random number generator. By default, a PCG64 generator is used (see :func:`numpy.random.default_rng`). If `rng` is an int, it is used to seed the generator. Returns ------- blobs : ndarray of bools Output binary image Examples -------- >>> from skimage import data >>> data.binary_blobs(length=5, blob_size_fraction=0.2) # doctest: +SKIP array([[ True, False, True, True, True], [ True, True, True, False, True], [False, True, False, True, True], [ True, False, False, True, True], [ True, False, False, False, True]]) >>> blobs = data.binary_blobs(length=256, blob_size_fraction=0.1) >>> # Finer structures >>> blobs = data.binary_blobs(length=256, blob_size_fraction=0.05) >>> # Blobs cover a smaller volume fraction of the image >>> blobs = data.binary_blobs(length=256, volume_fraction=0.3) g?c3 K|]}|yw)N).0indicess Y/var/www/html/test/engine/venv/lib/python3.12/site-packages/skimage/data/_binary_blobs.py zbinary_blobs..8s-7w-s g?F)sigmapreserve_ranged) nprandom default_rngtuplezerosmaxintastyper percentile logical_not) lengthblob_size_fractionn_dimvolume_fractionrngrsshapemaskn_ptspoints thresholds r binary_blobsr%sZ   s #B 6(U" #E 88E?D C,,-6 :Eryy%00 8 8 =F12D-f- -.  D6M$66u D dC1+>$?@I >>$* ++)ig?rg?N)numpyr_shared.filtersrr%rr&r r)s&KO7,r&