1 | 1 |
new file mode 100644 |
... | ... |
@@ -0,0 +1,25 @@ |
1 |
+# All conflicts needed to be considered for a truly equal algo |
|
2 |
+ |
|
3 |
+## Birth |
|
4 |
+- (ignore for now) track all atoms that are selected in death/move |
|
5 |
+ /exchange, if a position is selected that conflicts with one |
|
6 |
+ of those atoms, we can't proceed since it is possible that |
|
7 |
+ position will be free when the birth happens |
|
8 |
+- track previous births to make sure no overwriting happens |
|
9 |
+ |
|
10 |
+## Death |
|
11 |
+- (ignore for now) if any atom is birthed before this step then |
|
12 |
+ it should be possible to select it |
|
13 |
+- track all atoms selected for death/exchange if any atom is |
|
14 |
+ destroyed before this step we can't destroy it again |
|
15 |
+ |
|
16 |
+## Move |
|
17 |
+- Same selection problem as death |
|
18 |
+- can't have any atoms birth/death/move/exchange within the |
|
19 |
+ selected atom's boundaries |
|
20 |
+ |
|
21 |
+## Exchange |
|
22 |
+- Same selection problem as death |
|
23 |
+- Similiar problem as move with selecting exchanged atom |
|
24 |
+ |
|
25 |
+can't ignore birthed atoms, death/move/exchange fail if randomAtom returns a newly birthed atom |
|
0 | 26 |
\ No newline at end of file |
... | ... |
@@ -14,7 +14,10 @@ Atom AtomicDomain::front() const |
14 | 14 |
// O(1) |
15 | 15 |
Atom AtomicDomain::randomAtom() const |
16 | 16 |
{ |
17 |
- return mAtoms[gaps::random::uniform64(0, mAtoms.size() - 1)]; |
|
17 |
+ uint64_t ndx = gaps::random::uniform64(0, mAtoms.size() - 1); |
|
18 |
+ GAPS_ASSERT(mAtoms.size() >= 1); |
|
19 |
+ GAPS_ASSERT(ndx < mAtoms.size()); |
|
20 |
+ return mAtoms[ndx]; |
|
18 | 21 |
} |
19 | 22 |
|
20 | 23 |
// Average Case O(1) |
... | ... |
@@ -71,7 +74,7 @@ bool AtomicDomain::hasRight(const Atom &atom) const |
71 | 74 |
} |
72 | 75 |
|
73 | 76 |
// O(logN) |
74 |
-void AtomicDomain::insert(uint64_t pos, float mass) |
|
77 |
+Atom AtomicDomain::insert(uint64_t pos, float mass) |
|
75 | 78 |
{ |
76 | 79 |
// insert position into map |
77 | 80 |
std::map<uint64_t, uint64_t>::iterator iter, iterLeft, iterRight; |
... | ... |
@@ -97,6 +100,7 @@ void AtomicDomain::insert(uint64_t pos, float mass) |
97 | 100 |
// add atom to vector |
98 | 101 |
mAtoms.push_back(atom); |
99 | 102 |
mUsedPositions.insert(pos); |
103 |
+ return atom; |
|
100 | 104 |
} |
101 | 105 |
|
102 | 106 |
// O(logN) |
... | ... |
@@ -90,7 +90,9 @@ Rcpp::List GapsRunner::run() |
90 | 90 |
Rcpp::Named("chiSqValues") = chi2Vec.rVec(), |
91 | 91 |
Rcpp::Named("randSeed") = mSeed, |
92 | 92 |
Rcpp::Named("numUpdates") = mNumUpdatesA + mNumUpdatesP, |
93 |
- Rcpp::Named("meanChi2") = meanChiSq |
|
93 |
+ Rcpp::Named("meanChi2") = meanChiSq, |
|
94 |
+ Rcpp::Named("AAvgQueue") = mASampler.getAvgQueue(), |
|
95 |
+ Rcpp::Named("PAvgQueue") = mPSampler.getAvgQueue() |
|
94 | 96 |
); |
95 | 97 |
} |
96 | 98 |
|
... | ... |
@@ -8,6 +8,7 @@ const Rcpp::NumericMatrix &S, unsigned nFactor, float alpha, float maxGibbsMass) |
8 | 8 |
float meanD = gaps::algo::mean(mDMatrix); |
9 | 9 |
mLambda = alpha * std::sqrt(nFactor / meanD); |
10 | 10 |
mMaxGibbsMass = maxGibbsMass / mLambda; |
11 |
+ mQueue.setDimensionSize(D.nrow()); |
|
11 | 12 |
} |
12 | 13 |
|
13 | 14 |
unsigned AmplitudeGibbsSampler::getRow(uint64_t pos) const |
... | ... |
@@ -110,6 +111,7 @@ const Rcpp::NumericMatrix &S, unsigned nFactor, float alpha, float maxGibbsMass) |
110 | 111 |
float meanD = gaps::algo::mean(mDMatrix); |
111 | 112 |
mLambda = alpha * std::sqrt(nFactor / meanD); |
112 | 113 |
mMaxGibbsMass = maxGibbsMass / mLambda; |
114 |
+ mQueue.setDimensionSize(D.ncol()); |
|
113 | 115 |
} |
114 | 116 |
|
115 | 117 |
unsigned PatternGibbsSampler::getRow(uint64_t pos) const |
... | ... |
@@ -11,6 +11,7 @@ |
11 | 11 |
|
12 | 12 |
#include <Rcpp.h> |
13 | 13 |
#include <algorithm> |
14 |
+#include <omp.h> |
|
14 | 15 |
|
15 | 16 |
// forward declarations needed for friend classes |
16 | 17 |
class AmplitudeGibbsSampler; |
... | ... |
@@ -49,6 +50,9 @@ protected: |
49 | 50 |
unsigned mNumCols; |
50 | 51 |
uint64_t mBinSize; |
51 | 52 |
|
53 |
+ float mAvgQueue; |
|
54 |
+ float mNumQueues; |
|
55 |
+ |
|
52 | 56 |
T* impl(); |
53 | 57 |
|
54 | 58 |
void processProposal(const AtomicProposal &prop); |
... | ... |
@@ -75,6 +79,7 @@ public: |
75 | 79 |
|
76 | 80 |
void update(unsigned nSteps); |
77 | 81 |
void setAnnealingTemp(float temp); |
82 |
+ float getAvgQueue() const { return mAvgQueue; } |
|
78 | 83 |
|
79 | 84 |
float chi2() const; |
80 | 85 |
uint64_t nAtoms() const; |
... | ... |
@@ -148,7 +153,8 @@ const Rcpp::NumericMatrix &S, unsigned nrow, unsigned ncol, float alpha) |
148 | 153 |
: |
149 | 154 |
mMatrix(nrow, ncol), mOtherMatrix(NULL), mDMatrix(D), mSMatrix(S), |
150 | 155 |
mAPMatrix(D.nrow(), D.ncol()), mQueue(nrow * ncol, alpha), |
151 |
-mAnnealingTemp(0.f), mNumRows(nrow), mNumCols(ncol) |
|
156 |
+mAnnealingTemp(0.f), mNumRows(nrow), mNumCols(ncol), |
|
157 |
+mAvgQueue(0.f), mNumQueues(0.f) |
|
152 | 158 |
{ |
153 | 159 |
mBinSize = std::numeric_limits<uint64_t>::max() |
154 | 160 |
/ static_cast<uint64_t>(mNumRows * mNumCols); |
... | ... |
@@ -167,9 +173,23 @@ T* GibbsSampler<T, MatA, MatB>::impl() |
167 | 173 |
template <class T, class MatA, class MatB> |
168 | 174 |
void GibbsSampler<T, MatA, MatB>::update(unsigned nSteps) |
169 | 175 |
{ |
170 |
- for (unsigned n = 0; n < nSteps; ++n) |
|
176 |
+ unsigned n = 0; |
|
177 |
+ while (n < nSteps) |
|
171 | 178 |
{ |
172 |
- processProposal(mQueue.makeProposal(mDomain)); |
|
179 |
+ GAPS_ASSERT(nSteps - (mQueue.size() + n) >= 0); |
|
180 |
+ mQueue.populate(mDomain, nSteps - (mQueue.size() + n)); |
|
181 |
+ //mQueue.populate(mDomain, 1); |
|
182 |
+ GAPS_ASSERT(mQueue.size() > 0); |
|
183 |
+ mNumQueues += 1.f; |
|
184 |
+ mAvgQueue = mQueue.size() / mNumQueues + mAvgQueue * (mNumQueues - 1.f) / mNumQueues; |
|
185 |
+ n += mQueue.size(); |
|
186 |
+ //#pragma omp parallel for |
|
187 |
+ for (unsigned i = 0; i < mQueue.size(); ++i) |
|
188 |
+ { |
|
189 |
+ processProposal(mQueue[i]); |
|
190 |
+ } |
|
191 |
+ mQueue.clear(1); |
|
192 |
+ GAPS_ASSERT(n <= nSteps); |
|
173 | 193 |
} |
174 | 194 |
} |
175 | 195 |
|
... | ... |
@@ -226,7 +246,14 @@ unsigned col) |
226 | 246 |
: gaps::random::exponential(mLambda); |
227 | 247 |
if (mass >= gaps::algo::epsilon) |
228 | 248 |
{ |
229 |
- addMass(pos, mass, row, col); |
|
249 |
+ mDomain.updateMass(pos, mass); |
|
250 |
+ mMatrix(row, col) += mass; |
|
251 |
+ impl()->updateAPMatrix(row, col, mass); |
|
252 |
+ } |
|
253 |
+ else |
|
254 |
+ { |
|
255 |
+ mDomain.erase(pos); |
|
256 |
+ mQueue.rejectBirth(); |
|
230 | 257 |
} |
231 | 258 |
} |
232 | 259 |
|
... | ... |
@@ -243,6 +270,11 @@ unsigned col) |
243 | 270 |
if (deltaLL * mAnnealingTemp >= std::log(gaps::random::uniform())) |
244 | 271 |
{ |
245 | 272 |
addMass(pos, mass, row, col); |
273 |
+ mQueue.rejectDeath(); |
|
274 |
+ } |
|
275 |
+ else |
|
276 |
+ { |
|
277 |
+ mQueue.acceptDeath(); |
|
246 | 278 |
} |
247 | 279 |
} |
248 | 280 |
|
... | ... |
@@ -310,10 +342,11 @@ float m2, unsigned r1, unsigned c1, unsigned r2, unsigned c2) |
310 | 342 |
if (u < deltaLL * mAnnealingTemp) |
311 | 343 |
{ |
312 | 344 |
acceptExchange(p1, m1, delta, p2, m2, -delta, r1, c1, r2, c2); |
345 |
+ return; |
|
313 | 346 |
} |
314 |
- return; |
|
315 | 347 |
} |
316 | 348 |
} |
349 |
+ mQueue.rejectDeath(); |
|
317 | 350 |
} |
318 | 351 |
|
319 | 352 |
// helper function for acceptExchange, used to conditionally update the mass |
... | ... |
@@ -325,12 +358,13 @@ float delta) |
325 | 358 |
if (mass + delta < gaps::algo::epsilon) |
326 | 359 |
{ |
327 | 360 |
mDomain.erase(pos); |
328 |
- return -mass; |
|
361 |
+ mQueue.acceptDeath(); |
|
362 |
+ return false; |
|
329 | 363 |
} |
330 | 364 |
else |
331 | 365 |
{ |
332 | 366 |
mDomain.updateMass(pos, mass + delta); |
333 |
- return delta; |
|
367 |
+ return true; |
|
334 | 368 |
} |
335 | 369 |
} |
336 | 370 |
|
... | ... |
@@ -341,8 +375,18 @@ void GibbsSampler<T, MatA, MatB>::acceptExchange(uint64_t p1, float m1, |
341 | 375 |
float d1, uint64_t p2, float m2, float d2, unsigned r1, unsigned c1, |
342 | 376 |
unsigned r2, unsigned c2) |
343 | 377 |
{ |
344 |
- d1 = updateAtomMass(p1, m1, d1); |
|
345 |
- d2 = updateAtomMass(p2, m2, d2); |
|
378 |
+ bool b1 = updateAtomMass(p1, m1, d1); |
|
379 |
+ bool b2 = updateAtomMass(p2, m2, d2); |
|
380 |
+ GAPS_ASSERT(b1 || b2); |
|
381 |
+ |
|
382 |
+ if (!b1) d1 = -m1; |
|
383 |
+ if (!b2) d2 = -m2; |
|
384 |
+ |
|
385 |
+ if (b1 && b2) |
|
386 |
+ { |
|
387 |
+ mQueue.rejectDeath(); |
|
388 |
+ } |
|
389 |
+ |
|
346 | 390 |
mMatrix(r1, c1) += d1; |
347 | 391 |
mMatrix(r2, c2) += d2; |
348 | 392 |
impl()->updateAPMatrix(r1, c1, d1); |
... | ... |
@@ -12,11 +12,60 @@ void ProposalQueue::setDomainSize(uint64_t size) |
12 | 12 |
mDomainSize = size; |
13 | 13 |
} |
14 | 14 |
|
15 |
+void ProposalQueue::setDimensionSize(unsigned size) |
|
16 |
+{ |
|
17 |
+ mDimensionSize = size; |
|
18 |
+} |
|
19 |
+ |
|
15 | 20 |
void ProposalQueue::setAlpha(float alpha) |
16 | 21 |
{ |
17 | 22 |
mAlpha = alpha; |
18 | 23 |
} |
19 | 24 |
|
25 |
+void ProposalQueue::populate(AtomicDomain &domain, unsigned limit) |
|
26 |
+{ |
|
27 |
+ unsigned nIter = 0; |
|
28 |
+ while (nIter++ < limit && makeProposal(domain)); |
|
29 |
+} |
|
30 |
+ |
|
31 |
+void ProposalQueue::clear(unsigned n) |
|
32 |
+{ |
|
33 |
+ //mQueue.erase(mQueue.end() - n, mQueue.end()); |
|
34 |
+ //mUsedIndices.erase(mUsedIndices.end() - n, mUsedIndices.end()); |
|
35 |
+ //mUsedPositions.erase(mUsedPositions.end() - n, mUsedPositions.end()); |
|
36 |
+ mQueue.clear(); |
|
37 |
+ mUsedPositions.clear(); |
|
38 |
+ mUsedIndices.clear(); |
|
39 |
+ GAPS_ASSERT(mMaxAtoms - mMinAtoms <= mQueue.size()); |
|
40 |
+} |
|
41 |
+ |
|
42 |
+unsigned ProposalQueue::size() const |
|
43 |
+{ |
|
44 |
+ return mQueue.size(); |
|
45 |
+} |
|
46 |
+ |
|
47 |
+const AtomicProposal& ProposalQueue::operator[](int n) const |
|
48 |
+{ |
|
49 |
+ //return mQueue[mQueue.size() - 1 - n]; |
|
50 |
+ return mQueue[n]; |
|
51 |
+} |
|
52 |
+ |
|
53 |
+void ProposalQueue::acceptDeath() |
|
54 |
+{ |
|
55 |
+ mMaxAtoms--; |
|
56 |
+} |
|
57 |
+ |
|
58 |
+void ProposalQueue::rejectDeath() |
|
59 |
+{ |
|
60 |
+ mMinAtoms++; |
|
61 |
+} |
|
62 |
+ |
|
63 |
+void ProposalQueue::rejectBirth() |
|
64 |
+{ |
|
65 |
+ mMinAtoms--; |
|
66 |
+ mMaxAtoms--; |
|
67 |
+} |
|
68 |
+ |
|
20 | 69 |
float ProposalQueue::deathProb(uint64_t nAtoms) const |
21 | 70 |
{ |
22 | 71 |
double size = static_cast<double>(mDomainSize); |
... | ... |
@@ -25,55 +74,162 @@ float ProposalQueue::deathProb(uint64_t nAtoms) const |
25 | 74 |
return static_cast<double>(nAtoms) / (static_cast<double>(nAtoms) + term2); |
26 | 75 |
} |
27 | 76 |
|
28 |
-AtomicProposal ProposalQueue::makeProposal(const AtomicDomain &domain) |
|
77 |
+bool ProposalQueue::makeProposal(AtomicDomain &domain) |
|
29 | 78 |
{ |
30 |
- // always birth when no atoms exist |
|
31 |
- if (domain.size() == 0) |
|
79 |
+ // special indeterminate cases |
|
80 |
+ if ((mMinAtoms == 0 && mMaxAtoms > 0) || (mMinAtoms < 2 && mMaxAtoms >= 2)) |
|
32 | 81 |
{ |
33 |
- return birth(domain); |
|
82 |
+ return false; |
|
34 | 83 |
} |
35 | 84 |
|
36 |
- float bdProb = domain.size() < 2 ? 0.6667f : 0.5f; |
|
37 |
- float u = gaps::random::uniform(); |
|
38 |
- if (u <= bdProb) |
|
85 |
+ // always birth when no atoms exist |
|
86 |
+ if (mMaxAtoms == 0) |
|
39 | 87 |
{ |
40 |
- return gaps::random::uniform() < deathProb(domain.size()) ? |
|
41 |
- death(domain) : birth(domain); |
|
88 |
+ return birth(domain); |
|
42 | 89 |
} |
43 |
- else if (u < 0.75f || domain.size() < 2) |
|
90 |
+ |
|
91 |
+ float bdProb = mMaxAtoms < 2 ? 0.6667f : 0.5f; |
|
92 |
+ float u1 = gaps::random::uniform(); // cache these values if a failure |
|
93 |
+ float lowerBound = deathProb(mMinAtoms); |
|
94 |
+ float upperBound = deathProb(mMaxAtoms); |
|
95 |
+ |
|
96 |
+ if (u1 <= bdProb) |
|
44 | 97 |
{ |
45 |
- return move(domain); |
|
98 |
+ float u2 = gaps::random::uniform(); // happens, needed to prevent bias |
|
99 |
+ if (u2 >= upperBound) |
|
100 |
+ { |
|
101 |
+ return birth(domain); |
|
102 |
+ } |
|
103 |
+ if (u2 < lowerBound) |
|
104 |
+ { |
|
105 |
+ return death(domain); |
|
106 |
+ } |
|
107 |
+ return false; |
|
46 | 108 |
} |
47 |
- else |
|
109 |
+ else if (u1 >= bdProb) |
|
48 | 110 |
{ |
49 |
- return exchange(domain); |
|
111 |
+ return (u1 < 0.75f || mMaxAtoms < 2) ? move(domain) : exchange(domain); |
|
50 | 112 |
} |
113 |
+ return false; |
|
51 | 114 |
} |
52 | 115 |
|
53 |
-AtomicProposal ProposalQueue::birth(const AtomicDomain &domain) |
|
116 |
+static bool isInVector(const std::vector<uint64_t> &vec, uint64_t n) |
|
117 |
+{ |
|
118 |
+ return std::find(vec.begin(), vec.end(), n) != vec.end(); |
|
119 |
+} |
|
120 |
+ |
|
121 |
+bool ProposalQueue::birth(AtomicDomain &domain) |
|
54 | 122 |
{ |
55 | 123 |
uint64_t pos = domain.randomFreePosition(); |
56 |
- return AtomicProposal('B', pos); |
|
124 |
+ if (mUsedIndices.count(pos / mDimensionSize)) |
|
125 |
+ { |
|
126 |
+ return false; // matrix conflict - can't compute gibbs mass |
|
127 |
+ } |
|
128 |
+ |
|
129 |
+ mQueue.push_back(AtomicProposal('B', pos)); |
|
130 |
+ mUsedIndices.insert(pos / mDimensionSize); |
|
131 |
+ mUsedPositions.insert(pos); |
|
132 |
+ domain.insert(pos, 0.f); |
|
133 |
+ ++mMinAtoms; |
|
134 |
+ ++mMaxAtoms; |
|
135 |
+ return true; |
|
57 | 136 |
} |
58 | 137 |
|
59 |
-AtomicProposal ProposalQueue::death(const AtomicDomain &domain) |
|
138 |
+bool ProposalQueue::death(AtomicDomain &domain) |
|
60 | 139 |
{ |
61 | 140 |
Atom a = domain.randomAtom(); |
62 |
- return AtomicProposal('D', a.pos, a.mass); |
|
141 |
+ if (mUsedIndices.count(a.pos / mDimensionSize)) |
|
142 |
+ { |
|
143 |
+ return false; // matrix conflict - can't compute gibbs mass or deltaLL |
|
144 |
+ } |
|
145 |
+ |
|
146 |
+ mQueue.push_back(AtomicProposal('D', a.pos, a.mass)); |
|
147 |
+ mUsedIndices.insert(a.pos / mDimensionSize); |
|
148 |
+ mUsedPositions.insert(a.pos); |
|
149 |
+ --mMinAtoms; |
|
150 |
+ return true; |
|
63 | 151 |
} |
64 | 152 |
|
65 |
-AtomicProposal ProposalQueue::move(const AtomicDomain &domain) |
|
153 |
+bool ProposalQueue::move(AtomicDomain &domain) |
|
66 | 154 |
{ |
67 | 155 |
Atom a = domain.randomAtom(); |
68 | 156 |
uint64_t lbound = domain.hasLeft(a) ? domain.left(a).pos : 0; |
69 | 157 |
uint64_t rbound = domain.hasRight(a) ? domain.right(a).pos : mDomainSize; |
158 |
+ |
|
159 |
+ uint64_t low = *(mUsedPositions.lower_bound(lbound)); |
|
160 |
+ if (low != *(mUsedPositions.end()) && low <= rbound) |
|
161 |
+ { |
|
162 |
+ return false; //atomic conflict - don't know neighbors |
|
163 |
+ } |
|
164 |
+ |
|
70 | 165 |
uint64_t newLocation = gaps::random::uniform64(lbound, rbound - 1); |
71 |
- return AtomicProposal('M', a.pos, a.mass, newLocation); |
|
166 |
+ if (mUsedIndices.count(a.pos / mDimensionSize) || mUsedIndices.count(newLocation / mDimensionSize)) |
|
167 |
+ { |
|
168 |
+ return false; // matrix conflict - can't compute deltaLL |
|
169 |
+ } |
|
170 |
+ |
|
171 |
+ mQueue.push_back(AtomicProposal('M', a.pos, a.mass, newLocation)); |
|
172 |
+ mUsedIndices.insert(a.pos / mDimensionSize); |
|
173 |
+ mUsedIndices.insert(newLocation / mDimensionSize); |
|
174 |
+ mUsedPositions.insert(a.pos); |
|
175 |
+ mUsedPositions.insert(newLocation); |
|
176 |
+ return true; |
|
72 | 177 |
} |
73 | 178 |
|
74 |
-AtomicProposal ProposalQueue::exchange(const AtomicDomain &domain) |
|
179 |
+bool ProposalQueue::exchange(AtomicDomain &domain) |
|
75 | 180 |
{ |
76 | 181 |
Atom a1 = domain.randomAtom(); |
77 | 182 |
Atom a2 = domain.hasRight(a1) ? domain.right(a1) : domain.front(); |
78 |
- return AtomicProposal('E', a1.pos, a1.mass, a2.pos, a2.mass); |
|
183 |
+ |
|
184 |
+ //if (domain.hasRight(a1)) |
|
185 |
+ //{ |
|
186 |
+ // if (*(mUsedPositions.lower_bound(a1.pos)) <= a2.pos) |
|
187 |
+ // { |
|
188 |
+ // return false; |
|
189 |
+ // } |
|
190 |
+ //} |
|
191 |
+ //else |
|
192 |
+ //{ |
|
193 |
+ // if (*(mUsedPositions.end()) >= a1.pos || *(mUsedPositions.begin()) <= a2.pos) |
|
194 |
+ // { |
|
195 |
+ // return false; |
|
196 |
+ // } |
|
197 |
+ //} |
|
198 |
+ |
|
199 |
+ if (domain.hasRight(a1)) // has neighbor |
|
200 |
+ { |
|
201 |
+ std::set<uint64_t>::iterator low = mUsedPositions.lower_bound(a1.pos); |
|
202 |
+ if (low != mUsedPositions.end() && *low <= a2.pos) |
|
203 |
+ { |
|
204 |
+ return false; |
|
205 |
+ } |
|
206 |
+ } |
|
207 |
+ else // exchange with first atom |
|
208 |
+ { |
|
209 |
+ for (std::set<uint64_t>::iterator it = mUsedPositions.begin(); it != mUsedPositions.end(); ++it) |
|
210 |
+ { |
|
211 |
+ if (*it >= a1.pos || *it <= domain.front().pos) |
|
212 |
+ { |
|
213 |
+ return false; // atomic conflict - don't know right neighbor |
|
214 |
+ } |
|
215 |
+ } |
|
216 |
+ //std::set<uint64_t>::iterator it = mUsedPositions.upper_bound(a1.pos); |
|
217 |
+ //if (it != mUsedPositions.end() || *(mUsedPositions.begin()) <= a2.pos) |
|
218 |
+ //{ |
|
219 |
+ // return false; |
|
220 |
+ //} |
|
221 |
+ } |
|
222 |
+ |
|
223 |
+ if (mUsedIndices.count(a1.pos / mDimensionSize) || mUsedIndices.count(a2.pos / mDimensionSize)) |
|
224 |
+ { |
|
225 |
+ return false; // matrix conflict - can't compute gibbs mass or deltaLL |
|
226 |
+ } |
|
227 |
+ |
|
228 |
+ mQueue.push_back(AtomicProposal('E', a1.pos, a1.mass, a2.pos, a2.mass)); |
|
229 |
+ mUsedIndices.insert(a1.pos / mDimensionSize); |
|
230 |
+ mUsedIndices.insert(a2.pos / mDimensionSize); |
|
231 |
+ mUsedPositions.insert(a1.pos); |
|
232 |
+ mUsedPositions.insert(a2.pos); |
|
233 |
+ --mMinAtoms; |
|
234 |
+ return true; |
|
79 | 235 |
} |
80 | 236 |
\ No newline at end of file |
... | ... |
@@ -4,6 +4,7 @@ |
4 | 4 |
#include "Archive.h" |
5 | 5 |
#include "AtomicDomain.h" |
6 | 6 |
|
7 |
+#include <boost/unordered_set.hpp> |
|
7 | 8 |
#include <stdint.h> |
8 | 9 |
#include <cstddef> |
9 | 10 |
|
... | ... |
@@ -25,29 +26,50 @@ class ProposalQueue |
25 | 26 |
{ |
26 | 27 |
private: |
27 | 28 |
|
29 |
+ std::vector<AtomicProposal> mQueue; // not really a queue for now |
|
30 |
+ |
|
31 |
+ boost::unordered_set<uint64_t> mUsedIndices; // used rows/cols for A/P matrix |
|
32 |
+ std::set<uint64_t> mUsedPositions; // used positions in atomic domain |
|
33 |
+ |
|
34 |
+ uint64_t mMinAtoms; |
|
35 |
+ uint64_t mMaxAtoms; |
|
36 |
+ |
|
28 | 37 |
uint64_t mNumBins; |
38 |
+ uint64_t mDimensionSize; // rows of A, cols of P |
|
29 | 39 |
uint64_t mDomainSize; |
40 |
+ |
|
30 | 41 |
float mAlpha; |
31 | 42 |
|
32 | 43 |
float deathProb(uint64_t nAtoms) const; |
33 |
- AtomicProposal birth(const AtomicDomain &domain); |
|
34 |
- AtomicProposal death(const AtomicDomain &domain); |
|
35 |
- AtomicProposal move(const AtomicDomain &domain); |
|
36 |
- AtomicProposal exchange(const AtomicDomain &domain); |
|
44 |
+ bool birth(AtomicDomain &domain); |
|
45 |
+ bool death(AtomicDomain &domain); |
|
46 |
+ bool move(AtomicDomain &domain); |
|
47 |
+ bool exchange(AtomicDomain &domain); |
|
48 |
+ |
|
49 |
+ bool makeProposal(AtomicDomain &domain); |
|
37 | 50 |
|
38 | 51 |
public: |
39 | 52 |
|
40 | 53 |
ProposalQueue(unsigned nBins, float alpha) |
41 |
- : mNumBins(nBins), mAlpha(alpha) |
|
54 |
+ : mMinAtoms(0), mMaxAtoms(0), mNumBins(nBins), mAlpha(alpha) |
|
42 | 55 |
{} |
43 | 56 |
|
44 | 57 |
// set parameters |
45 | 58 |
void setNumBins(unsigned nBins); |
46 | 59 |
void setDomainSize(uint64_t size); |
47 | 60 |
void setAlpha(float alpha); |
61 |
+ void setDimensionSize(unsigned nIndices); |
|
48 | 62 |
|
49 | 63 |
// modify/access queue |
50 |
- AtomicProposal makeProposal(const AtomicDomain &domain); |
|
64 |
+ void populate(AtomicDomain &domain, unsigned limit); |
|
65 |
+ void clear(unsigned n); |
|
66 |
+ unsigned size() const; |
|
67 |
+ const AtomicProposal& operator[](int n) const; |
|
68 |
+ |
|
69 |
+ // update min/max atoms |
|
70 |
+ void acceptDeath(); |
|
71 |
+ void rejectDeath(); |
|
72 |
+ void rejectBirth(); |
|
51 | 73 |
|
52 | 74 |
// serialization |
53 | 75 |
friend Archive& operator<<(Archive &ar, ProposalQueue &queue); |