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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "segmentstart.h"
#include "computer.h"
#include "metrics.h"
#include <vespa/vespalib/util/stringfmt.h>
namespace search::features::fieldmatch {
SegmentStart::SegmentStart(Computer *owner, const Metrics & metrics, uint32_t previousJ, uint32_t i, uint32_t j) :
_owner(owner),
_metrics(metrics),
_i(i),
_skipI(0),
_previousJ(previousJ),
_semanticDistanceExplored(0),
_open(true)
{
if (j < std::numeric_limits<uint32_t>::max()) {
exploredTo(j);
}
}
void
SegmentStart::reset(const Metrics & metrics, uint32_t previousJ, uint32_t i, uint32_t j)
{
_metrics = metrics;
_i = i;
_skipI = 0;
_previousJ = previousJ;
_semanticDistanceExplored = 0;
_open = true;
if (j < std::numeric_limits<uint32_t>::max()) {
exploredTo(j);
}
}
SegmentStart &
SegmentStart::exploredTo(uint32_t j)
{
_semanticDistanceExplored = _owner->fieldIndexToSemanticDistance(j, _previousJ) + 1;
return *this;
}
bool
SegmentStart::offerHistory(int previousJ, const Metrics & metrics)
{
if (metrics.getSegmentationScore() <= _metrics.getSegmentationScore()) {
return false; // reject
}
#if 0
// Starting over like this achieves higher correctness if the match metric is dependent on relative distance between
// segments but is more expensive
if (_previousJ != previousJ) {
semanticDistanceExplored = 0;
open = true;
}
#endif
_previousJ = previousJ;
_metrics = metrics; // take a copy of the given metrics
return true; // accept
}
vespalib::string
SegmentStart::toString() {
if (_i == _owner->getNumQueryTerms()) {
return vespalib::make_string("Last segment: Complete match %f, previous j %d (%s).",
_metrics.getMatch(),
_previousJ,
_open ? "open" : "closed");
}
else {
return vespalib::make_string("Segment at %d: Match %f, previous j %d, explored to %d (%s).",
_i,
_metrics.getMatch(),
_previousJ,
_semanticDistanceExplored,
_open ? "open" : "closed");
}
}
}
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