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vtkStaticPointLocator2DPrivate.h
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1// SPDX-FileCopyrightText: Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
2// SPDX-FileCopyrightText: Copyright 2011 Sandia Corporation
3// SPDX-License-Identifier: LicenseRef-BSD-3-Clause-Sandia-USGov
12
13#ifndef vtkStaticPointLocator2DPrivate_h
14#define vtkStaticPointLocator2DPrivate_h
15
16#include "vtkArrayDispatch.h"
18#include "vtkCellArray.h"
19#include "vtkDataArrayRange.h"
20#include "vtkDataSet.h"
21#include "vtkDoubleArray.h"
22#include "vtkMath.h"
23#include "vtkPoints.h"
25#include "vtkSMPTools.h"
27#include "vtkStructuredData.h"
28
29VTK_ABI_NAMESPACE_BEGIN
30
31#define Distance2BetweenPoints2D(p1, p2) \
32 ((p1[0] - p2[0]) * (p1[0] - p2[0]) + (p1[1] - p2[1]) * (p1[1] - p2[1]))
33
39inline bool IntersectsCircle(
40 const double min[2], const double max[2], const double center[2], double r2)
41{
42 double d2 = 0.0;
43 for (int i = 0; i < 2; ++i)
44 {
45 if (center[i] < min[i])
46 {
47 d2 += (center[i] - min[i]) * (center[i] - min[i]);
48 }
49 else if (center[i] > max[i])
50 {
51 d2 += (center[i] - max[i]) * (center[i] - max[i]);
52 }
53 }
54 return (d2 <= r2);
55}
56
62inline bool InsideCircle(
63 const double min[2], const double max[2], const double center[2], double r2)
64{
65 double dmin = 0.0, dmax = 0.0;
66 for (int i = 0; i < 2; ++i)
67 {
68 double a = (center[i] - min[i]) * (center[i] - min[i]);
69 double b = (center[i] - max[i]) * (center[i] - max[i]);
70 dmax += std::max(a, b);
71 if (min[i] <= center[i] && center[i] <= max[i])
72 {
73 dmin += std::min(a, b);
74 }
75 }
76 return (!(dmin <= r2 && r2 <= dmax));
77}
78
79//------------------------------------------------------------------------------
80// The following code supports threaded point locator construction. The locator
81// is assumed to be constructed once (i.e., it does not allow incremental point
82// insertion). The algorithm proceeds in three steps:
83// 1) All points are assigned a bucket index (combined i-j bucket location).
84// The index is computed in parallel. This requires a one time allocation of an
85// index array (which is also associated with the originating point ids).
86// 2) vtkSMPTools::Sort() is used to sort the index array. Note that the sort
87// carries along the point ids as well. This creates contiguous runs of points
88// all resident in the same bucket.
89// 3) The bucket offsets are updated to refer to the right entry location into
90// the sorted point ids array. This enables quick access, and an indirect count
91// of the number of points in each bucket.
92
93struct NeighborBuckets2D;
94
95//------------------------------------------------------------------------------
96// The bucketed points, including the sorted map. This is just a PIMPLd
97// wrapper around the classes that do the real work.
99{
101 vtkIdType NumPts; // the number of points to bucket
104
105 // These are internal data members used for performance reasons
107 int Divisions[3];
108 double Bounds[6];
109 double H[3];
110 double hX, hY, hX2, hY2;
111 double fX, fY, bX, bY;
113
114 // Used for accelerated performance for certain methods
115 double* FastPoints; // fast path for accessing points
116 double BinRadius; // circumradius of a single bin/bucket
117 int MaxLevel; // the maximum possible level searches can proceed
118
119 // Construction
121 {
122 this->Locator = loc;
123 this->NumPts = numPts;
124 this->NumBuckets = numBuckets;
125 this->BatchSize = 10000; // building the offset array
126 this->DataSet = loc->GetDataSet();
127
128 // Setup internal data members for more efficient processing. Remember this is
129 // a 2D locator so just processing (x,y) points.
130 double spacing[3], bounds[6];
131 loc->GetDivisions(this->Divisions);
132 loc->GetSpacing(spacing);
133 loc->GetBounds(bounds);
134 this->hX = this->H[0] = spacing[0];
135 this->hY = this->H[1] = spacing[1];
136 this->hX2 = this->hX / 2.0;
137 this->hY2 = this->hY / 2.0;
138 this->fX = 1.0 / spacing[0];
139 this->fY = 1.0 / spacing[1];
140 this->bX = this->Bounds[0] = bounds[0];
141 this->Bounds[1] = bounds[1];
142 this->bY = this->Bounds[2] = bounds[2];
143 this->Bounds[3] = bounds[3];
144 this->xD = this->Divisions[0];
145 this->yD = this->Divisions[1];
146 this->zD = 1;
147
148 this->FastPoints = nullptr;
149 this->BinRadius = sqrt(hX * hX + hY * hY) / 2.0;
150 this->MaxLevel = std::max({ this->xD, this->yD, this->zD });
151 }
152
153 // Virtuals for templated subclasses
154 virtual ~vtkBucketList2D() = default;
155 virtual void BuildLocator() = 0;
156
157 // place points in appropriate buckets
159 NeighborBuckets2D* buckets, const int ij[2], const int ndivs[2], int level);
160 void GenerateFace(int face, int i, int j, int k, vtkPoints* pts, vtkCellArray* polys);
161 double Distance2ToBucket(const double x[3], const int nei[3]);
162 double Distance2ToBounds(const double x[3], const double bounds[6]);
163
164 //-----------------------------------------------------------------------------
165 // Inlined for performance. These function invocations must be called after
166 // BuildLocator() is invoked, otherwise the output is indeterminate.
167 void GetBucketIndices(const double* x, int ij[2]) const
168 {
169 // Compute point index. Make sure it lies within range of locator.
170 vtkIdType tmp0 = static_cast<vtkIdType>(((x[0] - bX) * fX));
171 vtkIdType tmp1 = static_cast<vtkIdType>(((x[1] - bY) * fY));
172
173 ij[0] = std::min(std::max<vtkIdType>(tmp0, 0), xD - 1);
174 ij[1] = std::min(std::max<vtkIdType>(tmp1, 0), yD - 1);
175 }
176
177 //-----------------------------------------------------------------------------
178 vtkIdType GetBucketIndex(const double* x) const
179 {
180 int ij[2];
181 this->GetBucketIndices(x, ij);
182 return ij[0] + ij[1] * xD;
183 }
184
185 //-----------------------------------------------------------------------------
186 // Return the center of the bucket/bin at (i,j). Note, returns a 2D point
187 // center[2].
188 void GetBucketCenter(int i, int j, double center[3])
189 {
190 center[0] = this->bX + this->hX2 + i * this->hX;
191 center[1] = this->bY + this->hY2 + j * this->hY;
192 center[2] = 0.0;
193 }
194
195 //-----------------------------------------------------------------------------
196 // Return the bounding box (min,max) of a specified bucket (i,j,k).
197 void GetBucketBounds(int i, int j, double min[3], double max[3])
198 {
199 min[0] = this->bX + i * this->hX;
200 min[1] = this->bY + j * this->hY;
201 min[2] = 0.0;
202 max[0] = min[0] + this->hX;
203 max[1] = min[1] + this->hY;
204 max[2] = 0.0;
205 }
206}; // vtkBucketList2D
207
208//------------------------------------------------------------------------------
209// This templated class manages the creation of the static locator
210// structures. It also implements the operator() functors which are supplied
211// to vtkSMPTools for threaded processesing.
212template <typename TIds>
214{
215 // Okay the various ivars
216 vtkLocatorTuple<TIds>* Map; // the map to be sorted
217 TIds* Offsets; // offsets for each bucket into the map
218
219 // Construction
220 BucketList2D(vtkStaticPointLocator2D* loc, vtkIdType numPts, int numBuckets)
221 : vtkBucketList2D(loc, numPts, numBuckets)
222 {
223 // one extra to simplify traversal
224 this->Map = new vtkLocatorTuple<TIds>[numPts + 1];
225 this->Map[numPts].Bucket = numBuckets;
226 this->Offsets = new TIds[numBuckets + 1];
227 this->Offsets[numBuckets] = numPts;
228 }
229
230 // Release allocated memory
231 ~BucketList2D() override
232 {
233 delete[] this->Map;
234 delete[] this->Offsets;
235 }
236
237 // The number of point ids in a bucket is determined by computing the
238 // difference between the offsets into the sorted points array.
240 {
241 if (bucketNum < 0 || bucketNum >= this->NumBuckets)
242 {
243 return 0;
244 }
245 return (this->Offsets[bucketNum + 1] - this->Offsets[bucketNum]);
246 }
247
248 // Given a bucket number, return the point ids in that bucket.
250 {
251 return this->Map + this->Offsets[bucketNum];
252 }
253
254 // Given a bucket number, return the point ids in that bucket.
255 void GetIds(vtkIdType bucketNum, vtkIdList* bList)
256 {
257 const vtkLocatorTuple<TIds>* ids = this->GetIds(bucketNum);
258 vtkIdType numIds = this->GetNumberOfIds(bucketNum);
259 bList->SetNumberOfIds(numIds);
260 for (int i = 0; i < numIds; i++)
261 {
262 bList->SetId(i, ids[i].PtId);
263 }
264 }
265
266 // Templated implementations of the locator
267 vtkIdType FindClosestPoint(const double x[3]);
269 double radius, const double x[3], double inputDataLength, double& dist2);
270 void FindClosestNPoints(int N, const double x[3], vtkIdList* result);
271 double FindNPointsInAnnulus(int N, const double x[3], vtkDist2TupleArray& results,
272 double minDist2 = (-0.1), bool sort = true, vtkDoubleArray* petals = nullptr);
273 void FindPointsWithinRadius(double R, const double x[3], vtkIdList* result);
274 int IntersectWithLine(double a0[3], double a1[3], double tol, double& t, double lineX[3],
275 double ptX[3], vtkIdType& ptId);
276 double FindCloseNBoundedPoints(int N, const double x[3], vtkIdList* result);
277
278 void MergePoints(double tol, vtkIdType* pointMap);
279 void GenerateRepresentation(int vtkNotUsed(level), vtkPolyData* pd);
280
281 // Internal methods
282 bool BucketIntersectsCircle(int i, int j, const double center[3], double R2);
284 NeighborBuckets2D* buckets, const double x[3], const int ij[2], double dist, int level);
285 void GetOverlappingBuckets(NeighborBuckets2D* buckets, const double x[3], double dist,
286 int prevMinLevel[2], int prevMaxLevel[2]);
287
288 // Implicit point representation, slower path
289 template <typename T>
291 {
294
296 : BList(blist)
297 , DataSet(ds)
298 {
299 }
300
302 {
303 double p[3];
304 vtkLocatorTuple<T>* t = this->BList->Map + ptId;
305 for (; ptId < end; ++ptId, ++t)
306 {
307 this->DataSet->GetPoint(ptId, p);
308 t->PtId = ptId;
309 t->Bucket = this->BList->GetBucketIndex(p);
310 } // for all points in this batch
311 }
312 };
313
314 template <typename T, typename TPointsArray>
316 {
318 TPointsArray* Points;
319
320 MapPointsArray(BucketList2D<T>* blist, TPointsArray* pts)
321 : BList(blist)
322 , Points(pts)
323 {
324 }
325
327 {
328 double p[3];
329 auto x = vtk::DataArrayTupleRange<3>(this->Points, ptId, end).begin();
330 vtkLocatorTuple<T>* t = this->BList->Map + ptId;
331 for (; ptId < end; ++ptId, ++x, ++t)
332 {
333 x->GetTuple(p);
334 t->PtId = ptId;
335 t->Bucket = this->BList->GetBucketIndex(p);
336 } // for all points in this batch
337 }
338 };
339
341 {
342 template <typename TPointsArray>
343 void operator()(TPointsArray* points, BucketList2D* blist)
344 {
345 MapPointsArray<TIds, TPointsArray> mapper(blist, points);
346 vtkSMPTools::For(0, blist->NumPts, mapper);
347 }
348 };
349
350 // A clever way to build offsets in parallel. Basically each thread builds
351 // offsets across a range of the sorted map. Recall that offsets are an
352 // integral value referring to the locations of the sorted points that
353 // reside in each bucket.
354 template <typename T>
356 {
360
362 : BList(blist)
363 {
364 this->NumPts = this->BList->NumPts;
365 this->NumBuckets = this->BList->NumBuckets;
366 }
367
368 // Traverse sorted points (i.e., tuples) and update bucket offsets.
369 void operator()(vtkIdType batch, vtkIdType batchEnd)
370 {
371 T* offsets = this->BList->Offsets;
372 const vtkLocatorTuple<T>* curPt = this->BList->Map + batch * this->BList->BatchSize;
373 const vtkLocatorTuple<T>* endBatchPt = this->BList->Map + batchEnd * this->BList->BatchSize;
374 const vtkLocatorTuple<T>* endPt = this->BList->Map + this->NumPts;
375 const vtkLocatorTuple<T>* prevPt;
376 endBatchPt = (endBatchPt > endPt ? endPt : endBatchPt);
377
378 // Special case at the very beginning of the mapped points array. If
379 // the first point is in bucket# N, then all buckets up and including
380 // N must refer to the first point.
381 if (curPt == this->BList->Map)
382 {
383 prevPt = this->BList->Map;
384 std::fill_n(offsets, curPt->Bucket + 1, 0); // point to the first points
385 } // at the very beginning of the map (sorted points array)
386
387 // We are entering this functor somewhere in the interior of the
388 // mapped points array. All we need to do is point to the entry
389 // position because we are interested only in prevPt->Bucket.
390 else
391 {
392 prevPt = curPt;
393 } // else in the middle of a batch
394
395 // Okay we have a starting point for a bucket run. Now we can begin
396 // filling in the offsets in this batch. A previous thread should
397 // have/will have completed the previous and subsequent runs outside
398 // of the [batch,batchEnd) range
399 for (curPt = prevPt; curPt < endBatchPt;)
400 {
401 for (; curPt->Bucket == prevPt->Bucket && curPt <= endBatchPt; ++curPt)
402 {
403 // advance
404 }
405 // Fill in any gaps in the offset array
406 std::fill_n(
407 offsets + prevPt->Bucket + 1, curPt->Bucket - prevPt->Bucket, curPt - this->BList->Map);
408 prevPt = curPt;
409 } // for all batches in this range
410 } // operator()
411 };
412
413 // Merge points that are pecisely coincident. Operates in parallel on
414 // locator buckets. Does not need to check neighbor buckets.
415 template <typename T>
417 {
421
423 : BList(blist)
424 , MergeMap(mergeMap)
425 {
426 this->DataSet = blist->DataSet;
427 }
428
429 void operator()(vtkIdType bucket, vtkIdType endBucket)
430 {
431 BucketList2D<T>* bList = this->BList;
432 vtkIdType* mergeMap = this->MergeMap;
433 int i, j;
434 const vtkLocatorTuple<TIds>* ids;
435 double p[3], p2[3];
436 vtkIdType ptId, ptId2, numIds;
437
438 for (; bucket < endBucket; ++bucket)
439 {
440 if ((numIds = bList->GetNumberOfIds(bucket)) > 0)
441 {
442 ids = bList->GetIds(bucket);
443 for (i = 0; i < numIds; i++)
444 {
445 ptId = ids[i].PtId;
446 if (mergeMap[ptId] < 0)
447 {
448 mergeMap[ptId] = ptId;
449 this->DataSet->GetPoint(ptId, p);
450 for (j = i + 1; j < numIds; j++)
451 {
452 ptId2 = ids[j].PtId;
453 if (mergeMap[ptId2] < 0)
454 {
455 this->DataSet->GetPoint(ptId2, p2);
456 if (p[0] == p2[0] && p[1] == p2[1])
457 {
458 mergeMap[ptId2] = ptId;
459 }
460 }
461 }
462 } // if point not yet visited
463 }
464 }
465 }
466 }
467 };
468
469 // Merge points that are coincident within a tolerance. Operates in
470 // parallel on points. Needs to check neighbor buckets which slows it down
471 // considerably. Note that merging is one direction: larger ids are merged
472 // to lower.
473 template <typename T>
475 {
479 double Tol;
480
482
483 MergeClose(BucketList2D<T>* blist, double tol, vtkIdType* mergeMap)
484 : BList(blist)
485 , MergeMap(mergeMap)
486 , Tol(tol)
487 {
488 this->DataSet = blist->DataSet;
489 }
490
491 // Just allocate a little bit of memory to get started.
493 {
494 vtkIdList*& pIds = this->PIds.Local();
495 pIds->Reserve(128); // allocate some memory
496 }
497
498 void operator()(vtkIdType ptId, vtkIdType endPtId)
499 {
500 BucketList2D<T>* bList = this->BList;
501 vtkIdType* mergeMap = this->MergeMap;
502 int i;
503 double p[3];
504 vtkIdType nearId, numIds;
505 vtkIdList*& nearby = this->PIds.Local();
506
507 for (; ptId < endPtId; ++ptId)
508 {
509 if (mergeMap[ptId] < 0)
510 {
511 mergeMap[ptId] = ptId;
512 this->DataSet->GetPoint(ptId, p);
513 bList->FindPointsWithinRadius(this->Tol, p, nearby);
514 if ((numIds = nearby->GetNumberOfIds()) > 0)
515 {
516 for (i = 0; i < numIds; i++)
517 {
518 nearId = nearby->GetId(i);
519 if (ptId < nearId && (mergeMap[nearId] < 0 || ptId < mergeMap[nearId]))
520 {
521 mergeMap[nearId] = ptId;
522 }
523 }
524 }
525 } // if point not yet processed
526 } // for all points in this batch
527 }
528
529 void Reduce() {}
530 };
531
532 // Build the map and other structures to support locator operations
533 void BuildLocator() override
534 {
535 // Place each point in a bucket
536 auto points = this->DataSet->GetPoints()->GetData();
539 points, worker, this))
540 {
541 worker(points, this);
542 }
543
544 // Provide accelerated access to points. Needed for Voronoi bin iterators.
546 {
547 this->FastPoints = static_cast<double*>(vtkDoubleArray::SafeDownCast(points)->GetPointer(0));
548 }
549
550 // Now gather the points into contiguous runs in buckets
551 //
552 vtkSMPTools::Sort(this->Map, this->Map + this->NumPts);
553
554 // Build the offsets into the Map. The offsets are the positions of
555 // each bucket into the sorted list. They mark the beginning of the
556 // list of points in each bucket. Amazingly, this can be done in
557 // parallel.
558 //
559 int numBatches = static_cast<int>(ceil(static_cast<double>(this->NumPts) / this->BatchSize));
560 MapOffsets<TIds> offMapper(this);
561 vtkSMPTools::For(0, numBatches, offMapper);
562 }
563}; // BucketList2D
564
565VTK_ABI_NAMESPACE_END
566#endif // vtkStaticPointLocator2DPrivate_h
567// VTK-HeaderTest-Exclude: vtkStaticPointLocator2DPrivate.h
RealT r2
Definition PyrC2Basis.h:20
ValueType * GetPointer(vtkIdType valueIdx)
Get the address of a particular data index.
object to represent cell connectivity
abstract class to specify dataset behavior
Definition vtkDataSet.h:166
virtual double * GetPoint(vtkIdType ptId)=0
Get point coordinates with ptId such that: 0 <= ptId < NumberOfPoints.
dynamic, self-adjusting array of double
static vtkDoubleArray * SafeDownCast(vtkObjectBase *o)
list of point or cell ids
Definition vtkIdList.h:135
void SetNumberOfIds(vtkIdType number)
Specify the number of ids for this object to hold.
vtkIdType GetNumberOfIds() const noexcept
Return the number of id's in the list.
Definition vtkIdList.h:185
vtkIdType GetId(vtkIdType i)
Return the id at location i.
Definition vtkIdList.h:190
void SetId(vtkIdType i, vtkIdType id)
Set the id at location i.
Definition vtkIdList.h:222
vtkTypeBool Reserve(vtkIdType size)
Reserve the id list to the requested number of ids and preserve data.
virtual vtkDataSet * GetDataSet()
Build the locator from the points/cells defining this dataset.
represent and manipulate 3D points
Definition vtkPoints.h:140
concrete dataset represents vertices, lines, polygons, and triangle strips
Thread local storage for VTK objects.
T *& Local()
Returns an object local to the current thread.
static void Sort(RandomAccessIterator begin, RandomAccessIterator end)
A convenience method for sorting data.
static void For(vtkIdType first, vtkIdType last, vtkIdType grain, Functor &f)
Execute a for operation in parallel.
quickly locate points in 2-space
void GetBounds(double *bounds) override
Provide an accessor to the bounds.
virtual double * GetSpacing()
Provide an accessor to the bucket spacing.
virtual int * GetDivisions()
Set the number of divisions in x-y directions.
VTK_ITER_INLINE auto DataArrayTupleRange(const ArrayTypePtr &array, TupleIdType start=-1, TupleIdType end=-1) -> typename detail::SelectTupleRange< ArrayTypePtr, TupleSize >::type
Generate an stl and for-range compatible range of tuple iterators from a vtkDataArray.
MapDataSet(BucketList2D< T > *blist, vtkDataSet *ds)
void operator()(vtkIdType ptId, vtkIdType end)
void operator()(vtkIdType batch, vtkIdType batchEnd)
void operator()(TPointsArray *points, BucketList2D *blist)
void operator()(vtkIdType ptId, vtkIdType end)
MapPointsArray(BucketList2D< T > *blist, TPointsArray *pts)
MergeClose(BucketList2D< T > *blist, double tol, vtkIdType *mergeMap)
vtkSMPThreadLocalObject< vtkIdList > PIds
void operator()(vtkIdType ptId, vtkIdType endPtId)
void operator()(vtkIdType bucket, vtkIdType endBucket)
MergePrecise(BucketList2D< T > *blist, vtkIdType *mergeMap)
void FindClosestNPoints(int N, const double x[3], vtkIdList *result)
double FindCloseNBoundedPoints(int N, const double x[3], vtkIdList *result)
const vtkLocatorTuple< TIds > * GetIds(vtkIdType bucketNum)
BucketList2D(vtkStaticPointLocator2D *loc, vtkIdType numPts, int numBuckets)
void MergePoints(double tol, vtkIdType *pointMap)
void GetOverlappingBuckets(NeighborBuckets2D *buckets, const double x[3], const int ij[2], double dist, int level)
void GetOverlappingBuckets(NeighborBuckets2D *buckets, const double x[3], double dist, int prevMinLevel[2], int prevMaxLevel[2])
vtkLocatorTuple< TIds > * Map
void FindPointsWithinRadius(double R, const double x[3], vtkIdList *result)
int IntersectWithLine(double a0[3], double a1[3], double tol, double &t, double lineX[3], double ptX[3], vtkIdType &ptId)
vtkIdType GetNumberOfIds(vtkIdType bucketNum)
bool BucketIntersectsCircle(int i, int j, const double center[3], double R2)
void GetIds(vtkIdType bucketNum, vtkIdList *bList)
vtkIdType FindClosestPointWithinRadius(double radius, const double x[3], double inputDataLength, double &dist2)
vtkIdType FindClosestPoint(const double x[3])
double FindNPointsInAnnulus(int N, const double x[3], vtkDist2TupleArray &results, double minDist2=(-0.1), bool sort=true, vtkDoubleArray *petals=nullptr)
void GenerateRepresentation(int level, vtkPolyData *pd)
Dispatch a single array against all array types mentioned in the ArrayList template parameter.
double Distance2ToBucket(const double x[3], const int nei[3])
void GetBucketBounds(int i, int j, double min[3], double max[3])
double Distance2ToBounds(const double x[3], const double bounds[6])
void GetBucketIndices(const double *x, int ij[2]) const
void GenerateFace(int face, int i, int j, int k, vtkPoints *pts, vtkCellArray *polys)
vtkIdType GetBucketIndex(const double *x) const
virtual ~vtkBucketList2D()=default
vtkStaticPointLocator2D * Locator
virtual void BuildLocator()=0
void GetBucketCenter(int i, int j, double center[3])
void GetBucketNeighbors(NeighborBuckets2D *buckets, const int ij[2], const int ndivs[2], int level)
vtkBucketList2D(vtkStaticPointLocator2D *loc, vtkIdType numPts, int numBuckets)
Represent an array of vtkDist2Tuples.
STL-compatible iterable ranges that provide access to vtkDataArray elements.
bool InsideCircle(const double min[2], const double max[2], const double center[2], double r2)
Performant method to determine if a box if fully inside a circle.
bool IntersectsCircle(const double min[2], const double max[2], const double center[2], double r2)
Performant method to intersect a box with a circle.
int vtkIdType
Definition vtkType.h:363
#define max(a, b)