hhLddlZddlmZmZdZdej ddfdddZy) N)cKDTreedistancect|}|j|||}t}d}t|D]\}} ||vs | j |t j ||g|| d|jd} t| | D cgc] \} } | |ks | } } } |j| |dz }|||k\sntj|t|d} || d|} | Scc} } w) 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 minkowski)rN)axis) rquery_ball_pointset enumerateremovercdistreshapezipupdatenpdeletetuple)coordspacingp_normmax_outtreeindicesrejected_peaks_indices nacceptedidx candidatesdistcdoutputs S/var/www/html/dev/engine/venv/lib/python3.12/site-packages/skimage/_shared/coord.py_ensure_spacingr&s4 5>D##EW#?G UI$W- Z , ,   c ">>s eJ/gbk ),J(=M1W!MJM # ) )* 5 NI"yG';  YYue$:;! DF! MNs  C2C2r 2i)max_split_sizec|}t|rtj|}||g}nct|}|g} |} || dz |kDr2| dz} | j| dt | |z|| dz |kDr2tj || }tj d|jdf|j}|D]9} ttj|| g|||}|)t||k\s8|S|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. r rr )dtype) lenr atleast_2dappendmin array_splitzerosshaper+r&vstack) coordsrrmin_split_sizerr(r$ batch_list coord_count split_idx split_sizebatchs r%ensure_spacingr;;sVF 6{v&  ! Jf+K'(I'J " ->a   2Z1P!PQ " -> :J1fll1o.fllC E$ 65/*GVWF"s6{g'= M  M)numpyr scipy.spatialrrr&infr;r<r%rAs4+3p  66  AAr<