9iPSSKrSSKJrJr SrS\R SS4SS.Sjjrg) N)cKDTreedistancec[U5nURXUS9n[5nSn[U5HupX;dM U R U5 [ R "X/X SUS9RS5n [X5V V s/sHupX:dM U PM n n n URU 5 US- nUcMXs:dM O [R"U[U5SS9n UbU SUn U $s sn n f) aReturns a subset of coord where a minimum spacing is guaranteed. Parameters ---------- coord : ndarray The coordinates of the considered points. spacing : float the maximum allowed spacing between the points. p_norm : float Which Minkowski p-norm to use. Should be in the range [1, inf]. A finite large p may cause a ValueError if overflow can occur. ``inf`` corresponds to the Chebyshev distance and 2 to the Euclidean distance. max_out: int If not None, at most the first ``max_out`` candidates are returned. Returns ------- output : ndarray A subset of coord where a minimum spacing is guaranteed. )rpr minkowski)rN)axis) rquery_ball_pointset enumerateremovercdistreshapezipupdatenpdeletetuple)coordspacingp_normmax_outtreeindicesrejected_peaks_indices nacceptedidx candidatesdistcdoutputs U/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/skimage/_shared/coord.py_ensure_spacingr&s4 5>D##E#?G UI$W-  ,   c ">> e/gbk ),J(=M(=!(=JM # ) )* 5 NI"y';. YYue$:;! DF! MNs C0C0r 2i)max_split_sizec Un[U5(a[R"U5nUcU/nOc[U5nU/n Un XS- U:a2U S-n U RU S[ X5-5 XS- U:aM2[R "X 5n[R "SURS4URS9nUH<n [[R"Xk/5XU5nUcM*[U5U:dM; U$ U$)a/Returns a subset of coord where a minimum spacing is guaranteed. Parameters ---------- coords : array_like The coordinates of the considered points. spacing : float the maximum allowed spacing between the points. p_norm : float Which Minkowski p-norm to use. Should be in the range [1, inf]. A finite large p may cause a ValueError if overflow can occur. ``inf`` corresponds to the Chebyshev distance and 2 to the Euclidean distance. min_split_size : int Minimum split size used to process ``coords`` by batch to save memory. If None, the memory saving strategy is not applied. max_out : int If not None, only the first ``max_out`` candidates are returned. max_split_size : int Maximum split size used to process ``coords`` by batch to save memory. This number was decided by profiling with a large number of points. Too small a number results in too much looping in Python instead of C, slowing down the process, while too large a number results in large memory allocations, slowdowns, and, potentially, in the process being killed -- see gh-6010. See benchmark results `here `_. Returns ------- output : array_like A subset of coord where a minimum spacing is guaranteed. r rr )dtype) lenr atleast_2dappendmin array_splitzerosshaper+r&vstack) coordsrrmin_split_sizerr(r$ batch_list coord_count split_idx split_sizebatchs r%ensure_spacingr;;sVF 6{{v&  ! Jf+K'(I'J" ->a   2Z1P!PQ" ->:J1fll1o.fllCE$ 6/*GWF"s6{g'= M  M)numpyr scipy.spatialrrr&infr;r<r%rAs4+3p  66  AAr<