Blender V4.5
BLI_kdtree_impl.h
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1/* SPDX-FileCopyrightText: 2023 Blender Authors
2 *
3 * SPDX-License-Identifier: GPL-2.0-or-later */
4
9
10#include "BLI_compiler_attrs.h"
11#include "BLI_sys_types.h"
12
13#define _BLI_CONCAT_AUX(MACRO_ARG1, MACRO_ARG2) MACRO_ARG1##MACRO_ARG2
14#define _BLI_CONCAT(MACRO_ARG1, MACRO_ARG2) _BLI_CONCAT_AUX(MACRO_ARG1, MACRO_ARG2)
15#define BLI_kdtree_nd_(id) _BLI_CONCAT(KDTREE_PREFIX_ID, _##id)
16
17/* For auto-complete / `clangd`. */
18#ifndef KD_DIMS
19# define KD_DIMS 0
20#endif
21
22struct KDTree;
23typedef struct KDTree KDTree;
24
25typedef struct KDTreeNearest {
26 int index;
27 float dist;
28 float co[KD_DIMS];
30
34KDTree *BLI_kdtree_nd_(new)(unsigned int nodes_len_capacity);
37
38void BLI_kdtree_nd_(insert)(KDTree *tree, int index, const float co[KD_DIMS]) ATTR_NONNULL(1, 3);
40 const float co[KD_DIMS],
41 KDTreeNearest *r_nearest) ATTR_NONNULL(1, 2);
42
44 const float co[KD_DIMS],
45 KDTreeNearest *r_nearest,
46 uint nearest_len_capacity) ATTR_NONNULL(1, 2, 3);
47
49 const float co[KD_DIMS],
50 KDTreeNearest **r_nearest,
52
54 const KDTree *tree,
55 const float co[KD_DIMS],
56 int (*filter_cb)(void *user_data, int index, const float co[KD_DIMS], float dist_sq),
57 void *user_data,
58 KDTreeNearest *r_nearest);
60 const KDTree *tree,
61 const float co[KD_DIMS],
62 float range,
63 bool (*search_cb)(void *user_data, int index, const float co[KD_DIMS], float dist_sq),
64 void *user_data);
65
67 float range,
68 bool use_index_order,
69 int *duplicates);
70
72
75 const KDTree *tree,
76 const float co[KD_DIMS],
77 KDTreeNearest *r_nearest,
78 uint nearest_len_capacity,
79 float (*len_sq_fn)(const float co_search[KD_DIMS],
80 const float co_test[KD_DIMS],
81 const void *user_data),
82 const void *user_data) ATTR_NONNULL(1, 2, 3);
84 const KDTree *tree,
85 const float co[KD_DIMS],
86 KDTreeNearest **r_nearest,
87 float range,
88 float (*len_sq_fn)(const float co_search[KD_DIMS],
89 const float co_test[KD_DIMS],
90 const void *user_data),
91 const void *user_data) ATTR_NONNULL(1, 2) ATTR_WARN_UNUSED_RESULT;
92
93template<typename Fn>
95 const float co[KD_DIMS],
96 float distance,
97 const Fn &fn)
98{
100 tree,
101 co,
102 distance,
103 [](void *user_data, const int index, const float *co, const float dist_sq) {
104 const Fn &fn = *static_cast<const Fn *>(user_data);
105 return fn(index, co, dist_sq);
106 },
107 const_cast<Fn *>(&fn));
108}
109
110template<typename Fn>
112 const float co[KD_DIMS],
113 KDTreeNearest *r_nearest,
114 Fn &&fn)
115{
117 tree,
118 co,
119 [](void *user_data, const int index, const float *co, const float dist_sq) {
120 Fn &fn = *static_cast<Fn *>(user_data);
121 return fn(index, co, dist_sq);
122 },
123 &fn,
124 r_nearest);
125}
126
127#undef _BLI_CONCAT_AUX
128#undef _BLI_CONCAT
129#undef BLI_kdtree_nd_
#define ATTR_WARN_UNUSED_RESULT
#define ATTR_NONNULL(...)
#define KDTreeNearest
Definition BLI_kdtree.h:16
#define KDTree
Definition BLI_kdtree.h:15
#define KD_DIMS
Definition BLI_kdtree.h:13
void BLI_kdtree_nd_ int BLI_kdtree_nd_ int BLI_kdtree_nd_ find_nearest_n(const KDTree *tree, const float co[KD_DIMS], KDTreeNearest *r_nearest, uint nearest_len_capacity) ATTR_NONNULL(1
void BLI_kdtree_nd_ free(KDTree *tree)
int BLI_kdtree_nd_ calc_duplicates_fast(const KDTree *tree, float range, bool use_index_order, int *duplicates)
void BLI_kdtree_nd_ range_search_cb(const KDTree *tree, const float co[KD_DIMS], float range, bool(*search_cb)(void *user_data, int index, const float co[KD_DIMS], float dist_sq), void *user_data)
void BLI_kdtree_nd_ int BLI_kdtree_nd_ find_nearest(const KDTree *tree, const float co[KD_DIMS], KDTreeNearest *r_nearest) ATTR_NONNULL(1
int BLI_kdtree_nd_ find_nearest_cb(const KDTree *tree, const float co[KD_DIMS], int(*filter_cb)(void *user_data, int index, const float co[KD_DIMS], float dist_sq), void *user_data, KDTreeNearest *r_nearest)
int BLI_kdtree_nd_ find_nearest_n_with_len_squared_cb(const KDTree *tree, const float co[KD_DIMS], KDTreeNearest *r_nearest, uint nearest_len_capacity, float(*len_sq_fn)(const float co_search[KD_DIMS], const float co_test[KD_DIMS], const void *user_data), const void *user_data) ATTR_NONNULL(1
int BLI_kdtree_nd_ deduplicate(KDTree *tree)
int BLI_kdtree_nd_ find_nearest_cb_cpp(const KDTree *tree, const float co[KD_DIMS], KDTreeNearest *r_nearest, Fn &&fn)
#define KD_DIMS
void BLI_kdtree_nd_ int BLI_kdtree_nd_ int BLI_kdtree_nd_ int BLI_kdtree_nd_ range_search(const KDTree *tree, const float co[KD_DIMS], KDTreeNearest **r_nearest, float range) ATTR_NONNULL(1
void BLI_kdtree_nd_ balance(KDTree *tree) ATTR_NONNULL(1)
int BLI_kdtree_nd_ int BLI_kdtree_nd_ range_search_with_len_squared_cb(const KDTree *tree, const float co[KD_DIMS], KDTreeNearest **r_nearest, float range, float(*len_sq_fn)(const float co_search[KD_DIMS], const float co_test[KD_DIMS], const void *user_data), const void *user_data) ATTR_NONNULL(1
void BLI_kdtree_nd_ range_search_cb_cpp(const KDTree *tree, const float co[KD_DIMS], float distance, const Fn &fn)
#define BLI_kdtree_nd_(id)
void BLI_kdtree_nd_ insert(KDTree *tree, int index, const float co[KD_DIMS]) ATTR_NONNULL(1
unsigned int uint
KDTree_3d * tree
float distance(VecOp< float, D >, VecOp< float, D >) RET
float co[KD_DIMS]