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| GU_SortKDTree (size_t size) |
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void | setPos (int idx, const UT_Vector3 &pos) |
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const int * | getIndices () const |
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int | comparePosition (int idx0, int idx1, int dim) const override |
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const float * | getP (int idx) const override |
| Return the position associated with the given point. More...
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| UT_KDTree (int dim=3, size_t size=0) |
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virtual | ~UT_KDTree () |
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virtual void | buildIfNeeded (bool enable_multithreading=true) |
| This must be called before querying, to build and balance the tree. More...
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int64 | getMemoryUsage (bool inclusive) const |
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void | setEntries (size_t size) |
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size_t | getEntries () const |
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void | growEntries (size_t amount) |
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size_t | getRebalanceCount () const |
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void | setRebalanceCount (size_t count) |
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void | setBalancer (ut_KDBalancer balance) |
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void | setMaxLeafNodes (int max_leaf_nodes) |
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void | flagDirty () |
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virtual bool | pointsHaveRadius () const |
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virtual fpreal | getRadius (int) const |
| Return the radius associated with the point in question. More...
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virtual bool | isValid (int) const |
| Returns whether the given index should be considered in searches. More...
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virtual bool | isValid (int idx, const UT_KDQueryPt &) const |
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virtual int | getInvalidLimit (int maxn) const |
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template<typename QueryPoint > |
int | findClosest (const QueryPoint &pt, fpreal max_distance_squared) |
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template<typename QueryPoint > |
int | findClosestQueue (const QueryPoint &pt, ut_KDPQueue &queue, fpreal max_distance_squared) |
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template<typename QueryPoint > |
int | findClosest (UT_IntArray &list, const QueryPoint &pt, fpreal max_distance_squared, int max_nodes, bool sorted=true) |
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template<typename QueryPoint > |
int | findClosestQueue (UT_IntArray &list, const QueryPoint &pt, ut_KDPQueue &q, fpreal max_distance_squared, int max_nodes, bool sorted=true) |
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template<typename QueryPoint > |
int | findClosest (UT_IntArray &list, UT_FloatArray &dist, const QueryPoint &pt, fpreal max_distance_squared, int max_nodes, bool sorted=true) |
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template<typename QueryPoint > |
int | findClosestQueue (UT_IntArray &list, UT_FloatArray &dist, const QueryPoint &pt, ut_KDPQueue &q, fpreal max_distance_squared, int max_nodes, bool sorted=true) |
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template<typename QueryPoint > |
int | findNClosest (UT_IntArray &list, const QueryPoint &pt, int max_nodes) |
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template<typename QueryPoint > |
int | findAllClosest (UT_IntArray &list, const QueryPoint &pt, fpreal max_distance_squared) |
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void | traverse (Visitor &visitor) |
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void | filterVolume (VolumeData &data, const UT_Vector3 &pos, const UT_Filter &filter, const AggregateVolume &aggdata, int max_nodes) |
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const fpreal * | getBoxMin () |
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const fpreal * | getBoxMax () |
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enum | ut_KDBalancer { UT_KD_MEDIAN,
UT_KD_SAH,
UT_KD_CENTROID
} |
| KD Tree balancing algorithms. See setBalancer. More...
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static ut_KDPQueuePtr | createQueue () |
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int | getHead () const |
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bool | isValid (int node, const UT_KDTubeQuery &) const |
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bool | isValid (int node, const UT_KDLineQuery &) const |
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bool | isValid (int node, const UT_KDTriQuery &) const |
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bool | isValid (int node, const UT_KDTetQuery &) const |
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bool | isValid (int node, const UT_KDQueryPtUnitWrap &) const |
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template<typename QueryPoint > |
int | findClosest (ut_KDPQueue &list, const QueryPoint &pt) |
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template<typename QueryPoint > |
void | recurseFind (ut_KDPQueue &list, const QueryPoint &pt, int split, int lo, int hi) const |
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template<typename QueryPoint > |
void | recurseFindTube (ut_KDPQueue &list, const QueryPoint &pt, int split, int lo, int hi) const |
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template<typename QueryPoint > |
void | recurseFindTri (ut_KDPQueue &list, const QueryPoint &pt, int split, int lo, int hi) const |
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template<typename QueryPoint > |
void | findInLeaf (ut_KDPQueue &list, const QueryPoint &pt, int lo, int hi, int invalid_limit, int &invalid) const |
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bool | isBalanced () const |
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void | traverseRecursive (Visitor &visitor, int split, int nodeid, UT_BoundingBox &box, int lo, int hi) |
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void | computeBox (int start_index=0) |
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bool | isBoxClose (const fpreal *P, fpreal qd, fpreal r) const |
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void | balance (bool enable_multithreading=true) |
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void | balanceSet (int &split, fpreal &radius, int *list, int entries, fpreal *boxmin, fpreal *boxmax, UT_Lock *splitlock) |
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fpreal | myBMin [UT_KD_MAXDIM] |
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fpreal | myBMax [UT_KD_MAXDIM] |
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int * | myList |
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UT_Array< KDSplit > | mySplits |
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UT_Lock | myLock |
| For protecting tree balancing and bounding box computation. More...
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size_t | myEntries |
| This marks the number of entries that have been added to our tree. More...
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size_t | myFullEntries |
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size_t | myRebalanceCount |
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int | myDim |
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int | myMaxLeafNodes |
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bool | myBalanced |
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bool | myBoxComputed |
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bool | myHasRadius |
| A faster way to evaluate pointsHaveRadius() at runtime. More...
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ut_KDBalancer | myBalancer |
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Definition at line 14 of file GU_Sort.h.