0-PhDddlZddlmZmZdZdejddfdddZdS) N)cKDTreedistancec"t|}|||}t}d}t|D]\}} ||vr| |t j||g|| d|d} fdt| | D} | | |dz }|||krntj |t|d } | | 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 minkowski)rc&g|] \}}|k |Sr ).0cdspacings U/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/_shared/coord.py z#_ensure_spacing..+s"MMM1W!N)axis) rquery_ball_pointset enumerateremovercdistreshapezipupdatenpdeletetuple) coordrp_normmax_outtreeindicesrejected_peaks_indices nacceptedidx candidatesdistoutputs ` r_ensure_spacingr+sA4 5>>D##EW#??G UUI$W--  Z , , ,   c " " ">s eJ/gbkk NMMMJ(=(=MMMJ # ) )* 5 5 5 NI"yG';';Yue$:;;! D D DF! Mrr2i)max_split_sizec |}t|rtj|}||g}nxt|}|g} |} || dz |kr@| dz} | | dt | |z|| dz |k@tj|| }tjd|jdf|j}|D]?} ttj || g|||}|t||krn@|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. Nr rr)dtype) lenr atleast_2dappendmin array_splitzerosshaper0r+vstack) coordsrr!min_split_sizer"r-r* batch_list coord_count split_idx split_sizebatchs rensure_spacingr@;s4VF 6{{v&&  ! JJf++K'(I'J " ->>a   2Z1P1P!PQQQ " ->> ::J1fl1o.flCCC  E$ 65/**GVWF"s6{{g'='= Mr)numpyr scipy.spatialrrr+infr@r rrrDs~++++++++333p  6  AAAAAAAAr