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#include "gd_builder.h"
#include <library/cpp/string_utils/relaxed_escaper/relaxed_escaper.h>
#include <util/generic/algorithm.h>
#include <util/random/shuffle.h>
#include <util/stream/output.h>
#include <util/string/printf.h>
#include <util/system/rusage.h>
namespace NGreedyDict {
void TDictBuilder::RebuildCounts(ui32 maxcand, bool final) {
if (!Current) {
Current = MakeHolder<TEntrySet>();
Current->InitWithAlpha();
}
TEntrySet& set = *Current;
for (auto& it : set)
it.Count = 0;
CompoundCounts = nullptr;
CompoundCountsPool.Clear();
if (!final) {
CompoundCounts = MakeHolder<TCompoundCounts>(&CompoundCountsPool);
CompoundCounts->reserve(maxcand);
}
Shuffle(Input.begin(), Input.end(), Rng);
for (auto str : Input) {
if (!final && CompoundCounts->size() > maxcand)
break;
i32 prev = -1;
while (!!str) {
TEntry* e = set.FindPrefix(str);
ui32 num = e->Number;
e->Count += 1;
if (!final && prev >= 0) {
(*CompoundCounts)[Compose(prev, num)] += 1;
}
prev = num;
++set.TotalCount;
}
}
Current->SetModelP();
}
ui32 TDictBuilder::BuildNextGeneration(ui32 maxent) {
TAutoPtr<TEntrySet> newset = new TEntrySet;
newset->InitWithAlpha();
maxent -= newset->size();
ui32 additions = 0;
ui32 deletions = 0;
{
const TEntrySet& set = *Current;
Candidates.clear();
const ui32 total = set.TotalCount;
const float minpval = Settings.MinPValue;
const EEntryStatTest test = Settings.StatTest;
const EEntryScore score = Settings.Score;
const ui32 mincnt = Settings.MinAbsCount;
for (const auto& it : set) {
const TEntry& e = it;
float modelp = e.ModelP;
ui32 cnt = e.Count;
if (e.HasPrefix() && e.Count > mincnt && StatTest(test, modelp, cnt, total) > minpval)
Candidates.push_back(TCandidate(-Score(score, e.Len(), modelp, cnt, total), it.Number));
}
if (!!CompoundCounts) {
for (TCompoundCounts::const_iterator it = CompoundCounts->begin(); it != CompoundCounts->end(); ++it) {
const TEntry& prev = set.Get(Prev(it->first));
const TEntry& next = set.Get(Next(it->first));
float modelp = ModelP(prev.Count, next.Count, total);
ui32 cnt = it->second;
if (cnt > mincnt && StatTest(test, modelp, cnt, total) > minpval)
Candidates.push_back(TCandidate(-Score(score, prev.Len() + next.Len(), modelp, cnt, total), it->first));
}
}
Sort(Candidates.begin(), Candidates.end());
if (Candidates.size() > maxent)
Candidates.resize(maxent);
for (const auto& candidate : Candidates) {
if (IsCompound(candidate.second)) {
additions++;
newset->Add(set.Get(Prev(candidate.second)).Str, set.Get(Next(candidate.second)).Str);
} else {
newset->Add(set.Get(candidate.second).Str);
}
}
deletions = set.size() - (newset->size() - additions);
}
Current = newset;
Current->BuildHierarchy();
return deletions + additions;
}
ui32 TDictBuilder::Build(ui32 maxentries, ui32 maxiters, ui32 mindiff) {
/* size_t totalsz = 0;
for (auto it : Input)
totalsz += it.size();*/
while (maxiters) {
maxiters--;
RebuildCounts(maxentries * Settings.GrowLimit, false);
if (Settings.Verbose) {
TString mess = Sprintf("iter:%" PRIu32 " sz:%" PRIu32 " pend:%" PRIu32, maxiters, (ui32)Current->size(), (ui32)CompoundCounts->size());
Clog << Sprintf("%-110s RSS=%" PRIu32 "M", mess.data(), (ui32)(TRusage::Get().MaxRss >> 20)) << Endl;
}
ui32 diff = BuildNextGeneration(maxentries);
if (Current->size() == maxentries && diff < mindiff)
break;
}
RebuildCounts(0, true);
Current->SetScores(Settings.Score);
return maxiters;
}
}
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