o h@s>ddlZddlmZmZddZdejddfddd d ZdS) N)cKDTreedistancec st|}|j||d}t}d}t|D]>\}} ||vrS| |tj||g|| tj|dd} fddt | | D} | | |d7}|durS||krSnqt j |t |dd } |durh| d|} | S) aReturns a subset of coord where a minimum spacing is guaranteed. Parameters ---------- coord : ndarray The coordinates of the considered points. spacing : float the maximum allowed spacing between the points. p_norm : float Which Minkowski p-norm to use. Should be in the range [1, inf]. A finite large p may cause a ValueError if overflow can occur. ``inf`` corresponds to the Chebyshev distance and 2 to the Euclidean distance. max_out: int If not None, at most the first ``max_out`` candidates are returned. Returns ------- output : ndarray A subset of coord where a minimum spacing is guaranteed. )rpr)rcsg|] \}}|kr|qSr).0cdspacingrP/var/www/html/scripts/venv/lib/python3.10/site-packages/skimage/_shared/coord.py ,s z#_ensure_spacing..N)axis)rquery_ball_pointset enumerateremovercdist minkowskireshapezipupdatenpdeletetuple) coordr p_normmax_outtreeindicesrejected_peaks_indices nacceptedidx candidatesdistoutputrr r _ensure_spacings0    r(r2i)max_split_sizec Cs|}t|rmt|}|dur|g}n/t|}|g} |} || d|kr<| d9} | | dt| ||| d|ks$t|| }tjd|jdf|jd}|D]} t t || g|||}|durlt||krl|SqQ|S)aReturns a subset of coord where a minimum spacing is guaranteed. Parameters ---------- coords : array_like The coordinates of the considered points. spacing : float the maximum allowed spacing between the points. p_norm : float Which Minkowski p-norm to use. Should be in the range [1, inf]. A finite large p may cause a ValueError if overflow can occur. ``inf`` corresponds to the Chebyshev distance and 2 to the Euclidean distance. min_split_size : int Minimum split size used to process ``coords`` by batch to save memory. If None, the memory saving strategy is not applied. max_out : int If not None, only the first ``max_out`` candidates are returned. max_split_size : int Maximum split size used to process ``coords`` by batch to save memory. This number was decided by profiling with a large number of points. Too small a number results in too much looping in Python instead of C, slowing down the process, while too large a number results in large memory allocations, slowdowns, and, potentially, in the process being killed -- see gh-6010. See benchmark results `here `_. Returns ------- output : array_like A subset of coord where a minimum spacing is guaranteed. Nrrr)dtype) lenr atleast_2dappendmin array_splitzerosshaper,r(vstack) coordsr rmin_split_sizerr*r' batch_list coord_count split_idx split_sizebatchrrr ensure_spacing=s2%  r<)numpyr scipy.spatialrrr(infr<rrrr s8