U ?h @s@ddlZddlmZddlmZeddiddd dd dZdS)N)deprecate_kwarg)gaussianseedrngz0.21z0.23)Zdeprecated_versionZremoved_version皙??c Cstj|}t|g|}t|}ttd||d}||||ft} d|tdd| D<t|d||dd}t |dd|} t || 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?css|] }|VqdS)N).0indicesr r L/var/www/html/venv/lib/python3.8/site-packages/skimage/data/_binary_blobs.py <szbinary_blobs..g?F)sigmaZpreserve_ranged) nprandomZ default_rngtupleZzerosmaxintZastyperZ percentileZ logical_not) lengthZblob_size_fractionZn_dimZvolume_fractionrrsshapemaskZn_ptsZpoints thresholdr r r binary_blobss0  r)rrrr N)numpyrZ _shared.utilsrZ_shared.filtersrrr r r rs