//
// Copyright (c) 2010-2017 Benjamin Kaufmann
//
// This file is part of Clasp. See http://www.cs.uni-potsdam.de/clasp/
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to
// deal in the Software without restriction, including without limitation the
// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
// sell copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
// IN THE SOFTWARE.
//
#include <clasp/minimize_constraint.h>
#include <clasp/solver.h>
#include <clasp/weight_constraint.h>
#include <clasp/clause.h>
#include <cmath>
namespace Clasp {
/////////////////////////////////////////////////////////////////////////////////////////
// SharedMinimizeData
/////////////////////////////////////////////////////////////////////////////////////////
SharedMinimizeData::SharedMinimizeData(const SumVec& lhsAdjust, MinimizeMode m) : mode_(m) {
	adjust_ = lhsAdjust;
	lower_  = new LowerType[adjust_.size()];
	count_  = 1;
	resetBounds();
	setMode(MinimizeMode_t::optimize);
}
SharedMinimizeData::~SharedMinimizeData() {
	delete[] lower_;
}

void SharedMinimizeData::destroy() const {
	this->~SharedMinimizeData();
	::operator delete(const_cast<SharedMinimizeData*>(this));
}

void SharedMinimizeData::resetBounds() {
	gCount_  = 0;
	optGen_  = 0;
	std::fill_n(lower_, numRules(), wsum_t(0));
	up_[0].assign(numRules(), maxBound());
	up_[1].assign(numRules(), maxBound());
	const WeightLiteral* lit = lits;
	for (weight_t wPos = 0, end = (weight_t)weights.size(), x; wPos != end; wPos = x+1) {
		assert(weights[wPos].weight >= 0);
		for (x = wPos; weights[x].next; ) { // compound weight - check for negative
			if (weights[++x].weight < 0) {
				while (lit->second != wPos) { ++lit; }
				for (const WeightLiteral* t = lit; t->second == wPos; ++t) {
					lower_[weights[x].level] += weights[x].weight;
				}
			}
		}
	}
}

bool SharedMinimizeData::setMode(MinimizeMode m, const wsum_t* bound, uint32 boundSize)  {
	mode_ = m;
	if (boundSize && bound) {
		SumVec& opt = up_[0];
		bool    ok  = false;
		gCount_     = 0;
		optGen_     = 0;
		boundSize   = std::min(boundSize, numRules());
		for (uint32 i = 0, end = boundSize; i != end; ++i) {
			wsum_t B = bound[i], a = adjust(i);
			B        = a >= 0 || (maxBound() + a) >= B ? B - a : maxBound();
			wsum_t d = B - lower_[i];
			if (d < 0 && !ok) { return false; }
			opt[i]   = B;
			ok       = ok || d > 0;
		}
		for (uint32 i = boundSize, end = (uint32)opt.size(); i != end; ++i) { opt[i] = maxBound(); }
	}
	return true;
}

MinimizeConstraint* SharedMinimizeData::attach(Solver& s, const OptParams& params, bool addRef) {
	if (addRef) this->share();
	MinimizeConstraint* ret;
	if (params.type == OptParams::type_bb || mode() == MinimizeMode_t::enumerate) {
		ret = new DefaultMinimize(this, params);
	}
	else {
		ret = new UncoreMinimize(this, params);
	}
	ret->attach(s);
	return ret;
}

const SumVec* SharedMinimizeData::setOptimum(const wsum_t* newOpt) {
	if (optGen_) { return up_ + (optGen_&1u); }
	uint32  g = gCount_;
	uint32  n = 1u - (g & 1u);
	SumVec& U = up_[n];
	U.assign(newOpt, newOpt + numRules());
	assert(mode() != MinimizeMode_t::enumerate || n == 1);
	if (mode() != MinimizeMode_t::enumerate) {
		if (++g == 0) { g = 2; }
		gCount_  = g;
	}
	return &U;
}
void SharedMinimizeData::setLower(uint32 lev, wsum_t low) {
	lower_[lev] = low;
}
wsum_t SharedMinimizeData::incLower(uint32 at, wsum_t low){
	for (wsum_t stored;;) {
		if ((stored = lower(at)) >= low) {
			return stored;
		}
		if (compare_and_swap(lower_[at], stored, low) == stored) {
			return low;
		}
	}
}
wsum_t SharedMinimizeData::lower(uint32 lev) const {
	return lower_[lev];
}
wsum_t SharedMinimizeData::optimum(uint32 lev) const {
	wsum_t o = sum(lev);
	return o + (o != maxBound() ? adjust(lev) : 0);
}
void SharedMinimizeData::markOptimal() {
	optGen_ = generation();
}
void SharedMinimizeData::sub(wsum_t* lhs, const LevelWeight* w, uint32& aLev) const {
	if (w->level < aLev) { aLev = w->level; }
	do { lhs[w->level] -= w->weight; } while (w++->next);
}
bool SharedMinimizeData::imp(wsum_t* lhs, const LevelWeight* w, const wsum_t* rhs, uint32& lev) const {
	assert(lev <= w->level && std::equal(lhs, lhs+lev, rhs));
	while (lev != w->level && lhs[lev] == rhs[lev]) { ++lev; }
	for (uint32 i = lev, end = numRules(); i != end; ++i) {
		wsum_t temp = lhs[i];
		if (i == w->level) { temp += w->weight; if (w->next) ++w; }
		if (temp != rhs[i]){ return temp > rhs[i]; }
	}
	return false;
}
/////////////////////////////////////////////////////////////////////////////////////////
// MinimizeConstraint
/////////////////////////////////////////////////////////////////////////////////////////
MinimizeConstraint::MinimizeConstraint(SharedData* d) : shared_(d) {}

MinimizeConstraint::~MinimizeConstraint() {
	assert(shared_ == 0 && "MinimizeConstraint not destroyed!");
}
bool MinimizeConstraint::prepare(Solver& s, bool useTag) {
	POTASSCO_REQUIRE(!s.isFalse(tag_), "Tag literal must not be false!");
	if (useTag && tag_ == lit_true())      { tag_ = posLit(s.pushTagVar(false)); }
	if (s.isTrue(tag_) || s.hasConflict()){ return !s.hasConflict(); }
	return useTag ? s.pushRoot(tag_) : s.force(tag_, 0);
}
void MinimizeConstraint::destroy(Solver* s, bool d) {
	shared_->release();
	shared_ = 0;
	Constraint::destroy(s, d);
}
void MinimizeConstraint::reportLower(Solver& s, uint32 lev, wsum_t low) const {
	s.lower.level = lev;
	s.lower.bound = low + shared_->adjust(lev);
}
/////////////////////////////////////////////////////////////////////////////////////////
// DefaultMinimize
/////////////////////////////////////////////////////////////////////////////////////////
union DefaultMinimize::UndoInfo {
	UndoInfo() : rep(0) {}
	struct {
		uint32 idx    : 30; // index of literal on stack
		uint32 newDL  :  1; // first literal of new DL?
		uint32 idxSeen:  1; // literal with idx already propagated?
	}      data;
	uint32 rep;
	uint32 index() const { return data.idx; }
	bool   newDL() const { return data.newDL != 0u; }
};
DefaultMinimize::DefaultMinimize(SharedData* d, const OptParams& params)
	: MinimizeConstraint(d)
	, bounds_(0)
	, pos_(d->lits)
	, undo_(0)
	, undoTop_(0)
	, size_(d->numRules()) {
	step_.type = params.algo;
	if (step_.type == OptParams::bb_hier && d->numRules() == 1) {
		step_.type = 0;
	}
}

DefaultMinimize::~DefaultMinimize() {
	delete [] bounds_;
	delete [] undo_;
}

void DefaultMinimize::destroy(Solver* s, bool detach) {
	if (s && detach) {
		for (const WeightLiteral* it = shared_->lits; !isSentinel(it->first); ++it) {
			s->removeWatch(it->first, this);
		}
		for (uint32 dl = 0; (dl = lastUndoLevel(*s)) != 0; ) {
			s->removeUndoWatch(dl, this);
			DefaultMinimize::undoLevel(*s);
		}
	}
	MinimizeConstraint::destroy(s, detach);
}

bool DefaultMinimize::attach(Solver& s) {
	assert(s.decisionLevel() == 0 && !bounds_);
	uint32 numL = 0;
	VarVec up;
	for (const WeightLiteral* it = shared_->lits; !isSentinel(it->first); ++it, ++numL) {
		if (s.value(it->first.var()) == value_free) {
			s.addWatch(it->first, this, numL);
		}
		else if (s.isTrue(it->first)) {
			up.push_back(numL);
		}
	}
	bounds_ = new wsum_t[(numRules() * (3 + uint32(step_.type != 0)))]; // upper, sum, temp, lower
	std::fill(this->opt(), this->sum(), SharedData::maxBound());
	std::fill(this->sum(), this->end(), wsum_t(0));
	stepInit(0);
	// [0,numL+1)      : undo stack
	// [numL+1, numL*2): pos  stack
	undo_    = new UndoInfo[(numL*2)+1];
	undoTop_ = 0;
	posTop_  = numL+1;
	actLev_  = 0;
	for (WeightVec::size_type i = 0; i != up.size(); ++i) {
		DefaultMinimize::propagate(s, shared_->lits[up[i]].first, up[i]);
	}
	return true;
}

// Returns the numerical highest decision level watched by this constraint.
uint32 DefaultMinimize::lastUndoLevel(const Solver& s) const {
	return undoTop_ != 0
		? s.level(shared_->lits[undo_[undoTop_-1].index()].first.var())
		: 0;
}
bool DefaultMinimize::litSeen(uint32 i) const { return undo_[i].data.idxSeen != 0; }

// Pushes the literal at index idx onto the undo stack
// and marks it as seen; if literal is first in current level
// adds a new undo watch.
void DefaultMinimize::pushUndo(Solver& s, uint32 idx) {
	assert(idx >= static_cast<uint32>(pos_ - shared_->lits));
	undo_[undoTop_].data.idx  = idx;
	undo_[undoTop_].data.newDL= 0;
	if (lastUndoLevel(s) != s.decisionLevel()) {
		// remember current "look at" position and start
		// a new decision level on the undo stack
		undo_[posTop_++].data.idx = static_cast<uint32>(pos_-shared_->lits);
		s.addUndoWatch(s.decisionLevel(), this);
		undo_[undoTop_].data.newDL = 1;
	}
	undo_[idx].data.idxSeen   = 1;
	++undoTop_;
}
/////////////////////////////////////////////////////////////////////////////////////////
// MinimizeConstraint - arithmetic strategy implementation
//
// For now we use a simple "switch-on-type" approach.
// In the future, if new strategies emerge, we may want to use a strategy hierarchy.
/////////////////////////////////////////////////////////////////////////////////////////
#define STRATEGY(x) shared_->x
// set *lhs = *rhs, where lhs != rhs
void DefaultMinimize::assign(wsum_t* lhs, wsum_t* rhs) const {
	std::memcpy(lhs, rhs, size_*sizeof(wsum_t));
}
// returns lhs > rhs
bool DefaultMinimize::greater(wsum_t* lhs, wsum_t* rhs, uint32 len, uint32& aLev) const {
	while (*lhs == *rhs && --len) { ++lhs, ++rhs; ++aLev; }
	return *lhs > *rhs;
}
/////////////////////////////////////////////////////////////////////////////////////////
Constraint::PropResult DefaultMinimize::propagate(Solver& s, Literal, uint32& data) {
	pushUndo(s, data);
	STRATEGY(add(sum(), shared_->lits[data]));
	return PropResult(propagateImpl(s, propagate_new_sum), true);
}

// Computes the set of literals implying p and returns
// the highest decision level of that set.
// PRE: p is implied on highest undo level
uint32 DefaultMinimize::computeImplicationSet(const Solver& s, const WeightLiteral& p, uint32& undoPos) {
	wsum_t* temp    = this->temp(), *opt = this->opt();
	uint32 up       = undoTop_, lev = actLev_;
	uint32 minLevel = std::max(s.level(tag_.var()), s.level(s.sharedContext()->stepLiteral().var()));
	// start from current sum
	assign(temp, sum());
	// start with full set
	for (UndoInfo u; up != 0; --up) {
		u = undo_[up-1];
		// subtract last element from set
		STRATEGY(sub(temp, shared_->lits[u.index()], lev));
		if (!STRATEGY(imp(temp, p, opt, lev))) {
			// p is no longer implied after we removed last literal,
			// hence [0, up) implies p @ level of last literal
			undoPos = up;
			return std::max(s.level(shared_->lits[u.index()].first.var()), minLevel);
		}
	}
	undoPos = 0;
	return minLevel;
}

bool DefaultMinimize::propagateImpl(Solver& s, PropMode m) {
	Iter it    = pos_;
	uint32 idx = static_cast<uint32>(it - shared_->lits);
	uint32 DL  = s.decisionLevel();
	// current implication level or "unknown" if
	// we propagate a new optimum
	uint32 impLevel = DL + (m == propagate_new_opt);
	weight_t lastW  = -1;
	uint32 undoPos  = undoTop_;
	bool ok         = true;
	actLev_         = std::min(actLev_, shared_->level(idx));
	for (wsum_t* sum= this->sum(), *opt = this->opt(); ok && !isSentinel(it->first); ++it, ++idx) {
		// skip propagated/false literals
		if (litSeen(idx) || (m == propagate_new_sum && s.isFalse(it->first))) {
			continue;
		}
		if (lastW != it->second) {
			// check if the current weight is implied
			if (!STRATEGY(imp(sum, *it, opt, actLev_))) {
				// all good - current optimum is safe
				pos_    = it;
				return true;
			}
			// compute implication set and level of current weight
			if (m == propagate_new_opt) {
				impLevel = computeImplicationSet(s, *it, undoPos);
			}
			lastW = it->second;
		}
		assert(active());
		// force implied literals
		if (!s.isFalse(it->first) || (impLevel < DL && s.level(it->first.var()) > impLevel)) {
			if (impLevel != DL) { DL = s.undoUntil(impLevel, Solver::undo_pop_bt_level); }
			ok = s.force(~it->first, impLevel, this, undoPos);
		}
	}
	return ok;
}

// pops free literals from the undo stack and decreases current sum
void DefaultMinimize::undoLevel(Solver&) {
	assert(undoTop_ != 0 && posTop_ > undoTop_);
	uint32 up  = undoTop_;
	uint32 idx = undo_[--posTop_].index();
	for (wsum_t* sum = this->sum();;) {
		UndoInfo& u = undo_[--up];
		undo_[u.index()].data.idxSeen = 0;
		STRATEGY(sub(sum, shared_->lits[u.index()], actLev_));
		if (u.newDL()) { break; }
	}
	undoTop_ = up;
	Iter temp= shared_->lits + idx;
	if (temp < pos_) {
		pos_    = temp;
		actLev_ = std::min(actLev_, shared_->level(idx));
	}
}

// computes the reason for p -
// all literals that were propagated before p
void DefaultMinimize::reason(Solver& s, Literal p, LitVec& lits) {
	assert(s.isTrue(tag_));
	uint32 stop = s.reasonData(p);
	Literal   x = s.sharedContext()->stepLiteral();
	assert(stop <= undoTop_);
	if (!isSentinel(x) && s.isTrue(x)) { lits.push_back(x); }
	if (s.level(tag_.var()))           { lits.push_back(tag_); }
	for (uint32 i = 0; i != stop; ++i) {
		UndoInfo u = undo_[i];
		x = shared_->lits[u.index()].first;
		lits.push_back(x);
	}
}

bool DefaultMinimize::minimize(Solver& s, Literal p, CCMinRecursive* rec) {
	assert(s.isTrue(tag_));
	uint32 stop = s.reasonData(p);
	Literal   x = s.sharedContext()->stepLiteral();
	assert(stop <= undoTop_);
	if (!s.ccMinimize(x, rec) || !s.ccMinimize(tag_, rec)) { return false; }
	for (uint32 i = 0; i != stop; ++i) {
		UndoInfo u = undo_[i];
		x = shared_->lits[u.index()].first;
		if (!s.ccMinimize(x, rec)) {
			return false;
		}
	}
	return true;
}
/////////////////////////////////////////////////////////////////////////////////////////
// DefaultMinimize - bound management
/////////////////////////////////////////////////////////////////////////////////////////
// Stores the current sum as the shared optimum.
void DefaultMinimize::commitUpperBound(const Solver&)  {
	shared_->setOptimum(sum());
	if (step_.type == OptParams::bb_inc) { step_.size *= 2; }
}
bool DefaultMinimize::commitLowerBound(Solver& s, bool upShared) {
	bool act  = active() && shared_->checkNext();
	bool more = step_.lev < size_ && (step_.size > 1 || step_.lev != size_-1);
	if (act && step_.type && step_.lev < size_) {
		uint32 x = step_.lev;
		wsum_t L = opt()[x] + 1;
		if (upShared) {
			wsum_t sv = shared_->incLower(x, L);
			if (sv == L) { reportLower(s, x, sv); }
			else         { L = sv; }
		}
		stepLow()= L;
		if (step_.type == OptParams::bb_inc){ step_.size = 1; }
	}
	return more;
}
bool DefaultMinimize::handleUnsat(Solver& s, bool up, LitVec& out) {
	bool more = shared_->optimize() && commitLowerBound(s, up);
	uint32 dl = s.isTrue(tag_) ? s.level(tag_.var()) : 0;
	relaxBound(false);
	if (more && dl && dl <= s.rootLevel()) {
		s.popRootLevel(s.rootLevel()-dl, &out); // pop and remember new path
		return s.popRootLevel(1);               // pop tag - disable constraint
	}
	return false;
}

// Disables the minimize constraint by clearing its upper bound.
bool DefaultMinimize::relaxBound(bool full) {
	if (active()) { std::fill(opt(), opt()+size_, SharedData::maxBound()); }
	pos_       = shared_->lits;
	actLev_    = 0;
	if (full || !shared_->optimize()) { stepInit(0); }
	return true;
}

void DefaultMinimize::stepInit(uint32 n) {
	step_.size = uint32(step_.type != OptParams::bb_dec);
	if (step_.type) { step_.lev = n; if (n != size_) stepLow() = 0-shared_->maxBound(); }
	else            { step_.lev = shared_->maxLevel(); }
}

// Integrates new (tentative) bounds from the ones stored in the shared data object.
bool DefaultMinimize::integrateBound(Solver& s) {
	bool useTag = shared_->optimize() && (step_.type != 0 || shared_->mode() == MinimizeMode_t::enumOpt);
	if (!prepare(s, useTag)) { return false; }
	if (useTag && s.level(tag_.var()) == 0) {
		step_.type = 0;
		stepInit(0);
	}
	if ((active() && !shared_->checkNext())) { return !s.hasConflict(); }
	WeightLiteral min(lit_true(), shared_->weights.empty() ? uint32(0) : (uint32)shared_->weights.size()-1);
	while (!s.hasConflict() && updateBounds(shared_->checkNext())) {
		uint32 x = 0;
		uint32 dl= s.decisionLevel() + 1;
		if (!STRATEGY(imp(sum(), min, opt(), actLev_)) || (dl = computeImplicationSet(s, min, x)) > s.rootLevel()) {
			for (--dl; !s.hasConflict() || s.resolveConflict(); ) {
				if      (s.undoUntil(dl, Solver::undo_pop_bt_level) > dl){ s.backtrack(); }
				else if (propagateImpl(s, propagate_new_opt))            { return true;   }
			}
		}
		if (!shared_->checkNext()) {
			break;
		}
		if (!step_.type) { ++step_.lev; }
		else             { stepLow() = ++opt()[step_.lev]; }
	}
	relaxBound(false);
	if (!s.hasConflict()) {
		s.undoUntil(0);
		s.setStopConflict();
	}
	return false;
}

// Loads bounds from the shared data object and (optionally) applies
// the current step to get the next tentative bound to check.
bool DefaultMinimize::updateBounds(bool applyStep) {
	for (;;) {
		const uint32  seq   = shared_->generation();
		const wsum_t* upper = shared_->upper();
		wsum_t*       myLow = step_.type ? end() : 0;
		wsum_t*       bound = opt();
		uint32        appLev= applyStep ? step_.lev : size_;
		for (uint32 i = 0; i != size_; ++i) {
			wsum_t U = upper[i], B = bound[i];
			if (i != appLev) {
				wsum_t L = shared_->lower(i);
				if (myLow) {
					if (i > step_.lev || L > myLow[i]) { myLow[i] = L; }
					else                               { L = myLow[i]; }
				}
				if      (i > appLev) { bound[i] = SharedData::maxBound(); }
				else if (U >= L)     { bound[i] = U; }
				else                 { stepInit(size_); return false; }
				continue;
			}
			if (step_.type) {
				wsum_t L = (stepLow() = std::max(myLow[i], shared_->lower(i)));
				if (U < L) { // path exhausted?
					stepInit(size_);
					return false;
				}
				if (B < L) { // tentative bound too strong?
					return false;
				}
				if (B < U) { // existing step?
					assert(std::count(bound+i+1, bound+size_, SharedData::maxBound()) == int(size_ - (i+1)));
					return true;
				}
				if (U == L) {// done with current level?
					bound[i] = U;
					stepInit(++appLev);
					continue;
				}
				assert(U > L && B > L);
				wsum_t diff = U - L;
				uint32 half = static_cast<uint32>( (diff>>1) | (diff&1) );
				if (step_.type == OptParams::bb_inc) {
					step_.size = std::min(step_.size, half);
				}
				else if (step_.type == OptParams::bb_dec) {
					if (!step_.size) { step_.size = static_cast<uint32>(diff); }
					else             { step_.size = half; }
				}
			}
			assert(step_.size != 0);
			bound[i] = U - step_.size;
			actLev_  = 0;
			pos_     = shared_->lits;
		}
		if (seq == shared_->generation()) { break; }
	}
	return step_.lev != size_ || !applyStep;
}
#undef STRATEGY
/////////////////////////////////////////////////////////////////////////////////////////
// MinimizeBuilder
/////////////////////////////////////////////////////////////////////////////////////////
MinimizeBuilder::MinimizeBuilder() { }
void MinimizeBuilder::clear() {
	LitVec().swap(lits_);
}
bool MinimizeBuilder::empty() const {
	return lits_.empty();
}
MinimizeBuilder& MinimizeBuilder::add(weight_t prio, const WeightLitVec& lits) {
	for (WeightLitVec::const_iterator it = lits.begin(), end = lits.end(); it != end; ++it) {
		add(prio, *it);
	}
	return *this;
}
MinimizeBuilder& MinimizeBuilder::add(weight_t prio, WeightLiteral lit) {
	lits_.push_back(MLit(lit, prio));
	return *this;
}
MinimizeBuilder& MinimizeBuilder::add(weight_t prio, weight_t w) {
	lits_.push_back(MLit(WeightLiteral(lit_true(), w), prio));
	return *this;
}
MinimizeBuilder& MinimizeBuilder::add(const SharedData& con) {
	if (con.numRules() == 1) {
		const weight_t P = !con.prios.empty() ? con.prios[0] : 0;
		for (const WeightLiteral* it = con.lits; !isSentinel(it->first); ++it) { add(P, *it); }
	}
	else {
		for (const WeightLiteral* it = con.lits; !isSentinel(it->first); ++it) {
			const SharedData::LevelWeight* w = &con.weights[it->second];
			do {
				add( w->level < con.prios.size() ? con.prios[w->level] : -static_cast<weight_t>(w->level), WeightLiteral(it->first, w->weight) );
			} while (w++->next);
		}
	}
	for (uint32 i = 0; i != con.numRules(); ++i) {
		if (wsum_t w = con.adjust(i)) {
			const weight_t P = i < con.prios.size() ? con.prios[i] : -static_cast<weight_t>(i);
			while (w < CLASP_WEIGHT_T_MIN) { add(P, CLASP_WEIGHT_T_MIN); w -= CLASP_WEIGHT_T_MIN; }
			while (w > CLASP_WEIGHT_T_MAX) { add(P, CLASP_WEIGHT_T_MAX); w -= CLASP_WEIGHT_T_MAX; }
			add(P, static_cast<weight_t>(w));
		}
	}
	return *this;
}
// Comparator for preparing levels: compare (prio, var, weight)
bool MinimizeBuilder::CmpPrio::operator()(const MLit& lhs, const MLit& rhs) const {
	if (lhs.prio != rhs.prio)           { return lhs.prio > rhs.prio; }
	if (lhs.lit.var() != rhs.lit.var()) { return lhs.lit  < rhs.lit; }
	return lhs.weight > rhs.weight;
}
// Comparator for merging levels: compare (var, level, weight)
bool MinimizeBuilder::CmpLit::operator()(const MLit& lhs, const MLit& rhs) const {
	if (lhs.lit.var() != rhs.lit.var()) { return lhs.lit  < rhs.lit; }
	if (lhs.prio != rhs.prio)           { return lhs.prio < rhs.prio; }
	return lhs.weight > rhs.weight;
}
// Comparator for sorting literals by final weight
bool MinimizeBuilder::CmpWeight::operator()(const MLit& lhs, const MLit& rhs) const {
	if (!weights) { return lhs.weight > rhs.weight; }
	const SharedData::LevelWeight* wLhs = &(*weights)[lhs.weight];
	const SharedData::LevelWeight* wRhs = &(*weights)[rhs.weight];
	for (;; ++wLhs, ++wRhs) {
		if (wLhs->level != wRhs->level)  { return wLhs->level < wRhs->level; }
		if (wLhs->weight != wRhs->weight){ return wLhs->weight > wRhs->weight; }
		if (!wLhs->next) { return wRhs->next && (++wRhs)->weight < 0; }
		if (!wRhs->next) { ++wLhs; break; }
	}
	return wLhs->weight > 0;
}

// Replaces integer priorities with increasing levels and merges duplicate/complementary literals.
void MinimizeBuilder::prepareLevels(const Solver& s, SumVec& adjust, WeightVec& prios) {
	// group first by decreasing priorities and then by variables
	std::stable_sort(lits_.begin(), lits_.end(), CmpPrio());
	prios.clear(); adjust.clear();
	// assign levels and simplify lits
	LitVec::iterator j = lits_.begin();
	for (LitVec::const_iterator it = lits_.begin(), end = lits_.end(); it != end;) {
		const weight_t P = it->prio, L = static_cast<weight_t>(prios.size());
		wsum_t R = 0;
		for (LitVec::const_iterator k; it != end && it->prio == P; it = k) {
			Literal x(it->lit); // make literal unique wrt this level
			wsum_t  w = it->weight;
			for (k = it + 1; k != end && k->lit.var() == x.var() && k->prio == P; ++k) {
				if (k->lit == x){ w += k->weight; }
				else            { w -= k->weight; R += k->weight; }
			}
			if (w < 0){
				R += w;
				x  = ~x;
				w  = -w;
			}
			if (w && s.value(x.var()) == value_free) {
				POTASSCO_CHECK(static_cast<weight_t>(w) == w, EOVERFLOW, "MinimizeBuilder: weight too large");
				*j++ = MLit(WeightLiteral(x, static_cast<weight_t>(w)), L);
			}
			else if (s.isTrue(x)) { R += w; }
		}
		prios.push_back(P);
		adjust.push_back(R);
	}
	lits_.erase(j, lits_.end());
}

void MinimizeBuilder::mergeLevels(SumVec& adjust, SharedData::WeightVec& weights) {
	// group first by variables and then by increasing levels
	std::stable_sort(lits_.begin(), lits_.end(), CmpLit());
	LitVec::iterator j = lits_.begin();
	weights.clear(); weights.reserve(lits_.size());
	for (LitVec::const_iterator it = lits_.begin(), end = lits_.end(), k; it != end; it = k) {
		// handle first occurrence of var
		assert(it->weight > 0 && "most important occurrence of lit must have positive weight");
		weight_t wpos = (weight_t)weights.size();
		weights.push_back(SharedData::LevelWeight(it->prio, it->weight));
		// handle remaining occurrences with lower prios
		for (k = it + 1; k != end && k->lit.var() == it->lit.var(); ++k) {
			assert(k->prio > it->prio && "levels not prepared!");
			weights.back().next = 1;
			weights.push_back(SharedData::LevelWeight(k->prio, k->weight));
			if (k->lit.sign() != it->lit.sign()) {
				adjust[k->prio] += k->weight;
				weights.back().weight = -k->weight;
			}
		}
		(*j = *it).weight = wpos;
		++j;
	}
	lits_.erase(j, lits_.end());
}

MinimizeBuilder::SharedData* MinimizeBuilder::createShared(SharedContext& ctx, const SumVec& adjust, const CmpWeight& cmp) {
	const uint32 nLits = static_cast<uint32>(lits_.size());
	SharedData*  ret   = new (::operator new(sizeof(SharedData) + ((nLits + 1)*sizeof(WeightLiteral)))) SharedData(adjust);
	// sort literals by decreasing weight
	std::stable_sort(lits_.begin(), lits_.end(), cmp);
	uint32   last = 0;
	weight_t wIdx = 0;
	for (uint32 i = 0; i != nLits; ++i) {
		WeightLiteral x(lits_[i].lit, lits_[i].weight);
		ctx.setFrozen(x.first.var(), true);
		ret->lits[i] = x;
		if (!cmp.weights) { continue; }
		if (!i || cmp(lits_[last], lits_[i])) {
			last = i;
			wIdx = (weight_t)ret->weights.size();
			for (const SharedData::LevelWeight* w = &(*cmp.weights)[x.second];; ++w) {
				ret->weights.push_back(*w);
				if (!w->next) { break; }
			}
		}
		ret->lits[i].second = wIdx;
	}
	ret->lits[nLits] = WeightLiteral(lit_true(), (weight_t)ret->weights.size());
	if (cmp.weights) {
		ret->weights.push_back(SharedData::LevelWeight((uint32)adjust.size()-1, 0));
	}
	ret->resetBounds();
	return ret;
}

MinimizeBuilder::SharedData* MinimizeBuilder::build(SharedContext& ctx) {
	POTASSCO_REQUIRE(!ctx.frozen());
	if ((!ctx.ok() || !ctx.master()->propagate()) || empty()) {
		clear();
		return 0;
	}
	typedef SharedData::WeightVec FlatVec;
	WeightVec prios;
	SumVec    adjust;
	FlatVec   weights;
	CmpWeight cmp(0);
	prepareLevels(*ctx.master(), adjust, prios);
	if (prios.size() > 1) {
		mergeLevels(adjust, weights);
		cmp.weights = &weights;
	}
	else if (prios.empty()) {
		prios.assign(1, 0);
		adjust.assign(1, 0);
	}
	SharedData* ret = createShared(ctx, adjust, cmp);
	ret->prios.swap(prios);
	clear();
	return ret;
}
/////////////////////////////////////////////////////////////////////////////////////////
// UncoreMinimize
/////////////////////////////////////////////////////////////////////////////////////////
UncoreMinimize::UncoreMinimize(SharedMinimizeData* d, const OptParams& params)
	: MinimizeConstraint(d)
	, enum_(0)
	, sum_(new wsum_t[d->numRules()])
	, auxInit_(UINT32_MAX)
	, auxAdd_(0)
	, freeOpen_(0)
	, options_(params) {
}
void UncoreMinimize::init() {
	releaseLits();
	fix_.clear();
	eRoot_ = 0;
	aTop_  = 0;
	upper_ = shared_->upper(0);
	lower_ = 0;
	gen_   = 0;
	level_ = 0;
	next_  = 0;
	disj_  = 0;
	path_  = 1;
	init_  = 1;
	actW_  = 1;
	nextW_ = 0;
}
bool UncoreMinimize::attach(Solver& s) {
	init();
	initRoot(s);
	auxInit_ = UINT32_MAX;
	auxAdd_  = 0;
	if (s.sharedContext()->concurrency() > 1 && shared_->mode() == MinimizeMode_t::enumOpt) {
		enum_ = new DefaultMinimize(shared_->share(), OptParams());
		enum_->attach(s);
		enum_->relaxBound(true);
	}
	return true;
}
// Detaches the constraint and all cores from s and removes
// any introduced aux vars.
void UncoreMinimize::detach(Solver* s, bool b) {
	releaseLits();
	if (s && auxAdd_ && s->numAuxVars() == (auxInit_ + auxAdd_)) {
		s->popAuxVar(auxAdd_, &closed_);
		auxInit_ = UINT32_MAX;
		auxAdd_  = 0;
	}
	Clasp::destroyDB(closed_, s, b);
	fix_.clear();
}
// Destroys this object and optionally detaches it from the given solver.
void UncoreMinimize::destroy(Solver* s, bool b) {
	detach(s, b);
	delete [] sum_;
	if (enum_) { enum_->destroy(s, b); enum_ = 0; }
	MinimizeConstraint::destroy(s, b);
}
Constraint::PropResult UncoreMinimize::propagate(Solver& s, Literal p, uint32& other) {
	return PropResult(s.force(Literal::fromId(other), Antecedent(p)), true);
}
bool UncoreMinimize::simplify(Solver& s, bool) {
	if (s.decisionLevel() == 0) { simplifyDB(s, closed_, false); }
	return false;
}
void UncoreMinimize::reason(Solver& s, Literal, LitVec& out) {
	uint32 r = initRoot(s);
	for (uint32 i = 1; i <= r; ++i) {
		out.push_back(s.decision(i));
	}
}

// Integrates any new information from this constraint into s.
bool UncoreMinimize::integrate(Solver& s) {
	assert(!s.isFalse(tag_));
	bool useTag = (shared_->mode() == MinimizeMode_t::enumOpt) || s.sharedContext()->concurrency() > 1;
	if (!prepare(s, useTag)) {
		return false;
	}
	if (enum_ && !shared_->optimize() && !enum_->integrateBound(s)) {
		return false;
	}
	for (uint32 gGen = shared_->generation(); gGen != gen_; ) {
		gen_   = gGen;
		upper_ = shared_->upper(level_);
		gGen   = shared_->generation();
	}
	if (init_ && !initLevel(s)) {
		return false;
	}
	if (next_ && !addNext(s)) {
		return false;
	}
	if (path_ && !pushPath(s)) {
		return false;
	}
	if (!validLowerBound()) {
		next_ = 1;
		s.setStopConflict();
		return false;
	}
	return true;
}

// Initializes the next optimization level to look at.
bool UncoreMinimize::initLevel(Solver& s) {
	initRoot(s);
	next_  = 0;
	disj_  = 0;
	actW_  = 1;
	nextW_ = 0;
	*sum_  = -1;
	if (!fixLevel(s)) {
		return false;
	}
	for (LitVec::const_iterator it = fix_.begin(), end = fix_.end(); it != end; ++it) {
		if (!s.force(*it, eRoot_, this)) { return false; }
	}
	if (!shared_->optimize()) {
		level_ = shared_->maxLevel();
		lower_ = shared_->lower(level_);
		upper_ = shared_->upper(level_);
		path_  = 0;
		init_  = 0;
		return true;
	}
	weight_t maxW = 1;
	uint32_t next = 1 - init_;
	for (uint32 level = (level_ + next), n = 1; level <= shared_->maxLevel() && assume_.empty(); ++level) {
		level_ = level;
		lower_ = 0;
		upper_ = shared_->upper(level_);
		for (const WeightLiteral* it = shared_->lits; !isSentinel(it->first); ++it) {
			if (weight_t w = shared_->weight(*it, level_)){
				Literal x = it->first;
				if (w < 0) {
					lower_ += w;
					w       = -w;
					x       = ~x;
				}
				if (s.value(x.var()) == value_free || s.level(x.var()) > eRoot_) {
					newAssumption(~x, w);
					if (w > maxW){ maxW = w; }
				}
				else if (s.isTrue(x)) {
					lower_ += w;
				}
			}
		}
		if (n == 1) {
			if      (lower_ > upper_){ next = 1; break; }
			else if (lower_ < upper_){ next = (n = 0);  }
			else                     {
				n    = shared_->checkNext() || level != shared_->maxLevel();
				next = n;
				while (!assume_.empty()) {
					fixLit(s, assume_.back().lit);
					assume_.pop_back();
				}
				litData_.clear();
				assume_.clear();
				maxW = 1;
			}
		}
	}
	init_ = 0;
	path_ = 1;
	disj_ = options_.hasOption(OptParams::usc_disjoint);
	actW_ = options_.hasOption(OptParams::usc_stratify) ? maxW : 1;
	if (next && !s.hasConflict()) {
		s.force(~tag_, Antecedent(0));
		disj_ = 0;
	}
	if (auxInit_ == UINT32_MAX) {
		auxInit_ = s.numAuxVars();
	}
	return !s.hasConflict();
}

Literal UncoreMinimize::newLit(Solver& s) {
	++auxAdd_;
	return posLit(s.pushAuxVar());
}
UncoreMinimize::LitPair UncoreMinimize::newAssumption(Literal p, weight_t w) {
	assert(w > 0);
	if (nextW_ && w > nextW_) {
		nextW_ = w;
	}
	litData_.push_back(LitData(w, true, 0));
	assume_.push_back(LitPair(p, sizeVec(litData_)));
	return assume_.back();
}
bool UncoreMinimize::push(Solver& s, Literal p, uint32 id) {
	assert(conflict_.empty());
	if (s.pushRoot(p)) {
		return true;
	}
	else if (!s.hasConflict()) {
		conflict_.assign(1, ~p);
		conflict_.push_back(Literal::fromRep(id));
		if (s.level(p.var()) > eRoot_) { s.force(p, Antecedent(0)); }
		else                           { s.setStopConflict(); }
	}
	return false;
}
// Pushes the active assumptions from the active optimization level to
// the root path.
bool UncoreMinimize::pushPath(Solver& s) {
	assert(!next_);
	for (bool push = path_ != 0; !s.hasConflict() && push; ) {
		path_ = 0;
		if (!s.propagate() || !s.simplify()) { path_ = 1;  return false; }
		initRoot(s);
		if (todo_.shrink()) {
			return pushTrim(s);
		}
		wsum_t   fixW = upper_ - lower_, low = 0;
		weight_t maxW = 0;
		uint32 j = 0, i = 0, end = sizeVec(assume_);
		bool  ok = true;
		nextW_ = 0;
		for (uint32 dl; i != end && ok; ++i) {
			LitData& x = getData(assume_[i].id);
			if (x.assume) {
				Literal  p = assume_[i].lit;
				weight_t w = x.weight;
				assume_[j++] = assume_[i];
				if (w < actW_) {
					nextW_ = std::max(nextW_, w);
				}
				else if (w > fixW) {
					--j;
					ok = fixLit(s, p);
					push = false;
					x.assume = 0;
					x.weight = 0;
					if (hasCore(x)) { closeCore(s, x, false); }
				}
				else if (!s.isFalse(p) || s.level(p.var()) > eRoot_) {
					maxW = std::max(maxW, w);
					ok   = !push || this->push(s, p, assume_[i].id);
				}
				else {
					LitPair core(~p, assume_[i].id);
					--j;
					dl   = s.decisionLevel();
					ok   = addCore(s, &core, 1, w, true);
					low += w;
					fixW = fixW - w;
					end  = sizeVec(assume_);
					push = push && s.decisionLevel() == dl;
				}
			}
		}
		if (i != j) { moveDown(assume_, i, j); }
		if (low) {
			shared_->incLower(level_, lower_);
		}
		push  = !push || maxW > fixW;
		aTop_ = s.rootLevel();
		POTASSCO_REQUIRE(s.decisionLevel() == s.rootLevel(), "pushPath must be called on root level (%u:%u)", s.rootLevel(), s.decisionLevel());
	}
	return !s.hasConflict();
}

// Removes invalid assumptions from the root path.
bool UncoreMinimize::popPath(Solver& s, uint32 dl) {
	POTASSCO_REQUIRE(dl <= aTop_ && eRoot_ <= aTop_ && s.rootLevel() <= aTop_, "You must not mess with my root level!");
	if (dl < eRoot_) { dl = eRoot_; }
	sum_[0] = -1;
	path_   = 1;
	return s.popRootLevel(s.rootLevel() - (aTop_ = dl));
}

bool UncoreMinimize::relax(Solver& s, bool reset) {
	if (next_ && !reset) {
		// commit cores of last model
		if (todo_.shrink()) {
			resetTrim(s);
		}
		addNext(s);
	}
	if ((reset && shared_->optimize()) || !assume_.empty() || level_ != shared_->maxLevel()) {
		detach(&s, true);
		init();
	}
	else {
		releaseLits();
	}
	if (!shared_->optimize()) {
		gen_ = shared_->generation();
	}
	init_ = 1;
	next_ = 0;
	assert(assume_.empty());
	return !enum_ || enum_->relax(s, reset);
}

// Computes the costs of the current assignment.
wsum_t* UncoreMinimize::computeSum(const Solver& s) const {
	std::fill_n(sum_, shared_->numRules(), wsum_t(0));
	for (const WeightLiteral* it = shared_->lits; !isSentinel(it->first); ++it) {
		if (s.isTrue(it->first)) { shared_->add(sum_, *it); }
	}
	return sum_;
}
// Checks whether the current assignment in s is valid w.r.t the
// bound stored in the shared data object.
bool UncoreMinimize::valid(Solver& s) {
	if (shared_->upper(level_) == SharedData::maxBound()){ return true; }
	if (sum_[0] < 0) { computeSum(s); }
	const wsum_t* rhs;
	uint32 end = shared_->numRules();
	wsum_t cmp = 0;
	do {
		gen_  = shared_->generation();
		rhs   = shared_->upper();
		upper_= rhs[level_];
		for (uint32 i = level_; i != end && (cmp = sum_[i]-rhs[i]) == 0; ++i) { ; }
	} while (gen_ != shared_->generation());
	if (s.numFreeVars() != 0) { sum_[0] = -1; }
	if (cmp < wsum_t(!shared_->checkNext())) {
		return true;
	}
	next_ = 1;
	s.setStopConflict();
 	return false;
}
// Sets the current sum as the current shared optimum.
bool UncoreMinimize::handleModel(Solver& s) {
	if (!valid(s))  { return false; }
	if (sum_[0] < 0){ computeSum(s);}
	shared_->setOptimum(sum_);
	next_ = shared_->checkNext();
	gen_  = shared_->generation();
	upper_= shared_->upper(level_);
	POTASSCO_ASSERT(!next_ || disj_ || todo_.shrink() || nextW_ || lower_ == sum_[level_], "Unexpected lower bound on model!");
	return true;
}

// Tries to recover from either a model or a root-level conflict.
bool UncoreMinimize::handleUnsat(Solver& s, bool up, LitVec&) {
	assert(s.hasConflict());
	if (enum_) { enum_->relaxBound(true); }
	bool trimCore = options_.trim != 0u;
	do {
		if (next_ == 0) {
			if (s.hasStopConflict()) { return false; }
			if (todo_.shrink()) {
				lower_ -= todo_.weight();
				todo_.clear(false);
			}
			uint32 cs = analyze(s);
			if (!cs) {
				todo_.clear();
				return false;
			}
			lower_ += todo_.weight();
			if (disj_) { // preprocessing: remove assumptions and remember core
				todo_.terminate(); // null-terminate core
				for (Todo::const_iterator it = todo_.end() - (cs + 1); it->id; ++it) {
					getData(it->id).assume = 0;
				}
			}
			else if (trimCore && validLowerBound() && todo_.shrinkNext(*this, value_false)) {
				popPath(s, 0);
			}
			else {
				resetTrim(s);
			}
			next_ = !validLowerBound();
			if (up && shared_->incLower(level_, lower_) == lower_) {
				reportLower(s, level_, lower_);
			}
		}
		else {
			s.clearStopConflict();
			addNext(s);
		}
	} while (next_ || s.hasConflict());
	return true;
}

bool UncoreMinimize::addNext(Solver& s) {
	popPath(s, 0);
	const wsum_t cmp = (lower_ - upper_);
	if (disj_) {
		for (Todo::const_iterator it = todo_.begin(), end = todo_.end(), cs; (cs = it) != end; ++it) {
			weight_t w = std::numeric_limits<weight_t>::max();
			while (it->id) { w = std::min(w, getData(it->id).weight); ++it; }
			if (!addCore(s, &*cs, uint32(it - cs), w, false)) { break; }
		}
		todo_.clear(false);
	}
	else if (todo_.shrink() && (!todo_.shrinkNext(*this, value_true) || cmp >= 0)) {
		resetTrim(s);
	}
	next_ = 0;
	disj_ = 0;
	if (cmp >= 0) {
		fixLevel(s);
		if (cmp > 0) { s.hasConflict() || s.force(~tag_, Antecedent(0)); }
		else if (level_ != shared_->maxLevel() || shared_->checkNext()) {
			initLevel(s);
		}
	}
	else if (!todo_.shrink() && nextW_) {
		actW_ = nextW_;
		disj_ = options_.hasOption(OptParams::usc_disjoint);
	}
	return !s.hasConflict();
}

// Analyzes the current root level conflict and stores the set of our assumptions
// that caused the conflict in todo_.
uint32 UncoreMinimize::analyze(Solver& s) {
	uint32 cs    = 0;
	uint32 minDL = s.decisionLevel();
	if (!conflict_.empty()) {
		LitPair p(conflict_[0], conflict_[1].rep());
		assert(s.isTrue(p.lit));
		todo_.add(p, getData(p.id).weight);
		minDL = s.level(p.lit.var());
		cs = 1;
	}
	conflict_.clear();
	if (s.decisionLevel() <= eRoot_) {
		return cs;
	}
	s.resolveToCore(conflict_);
	for (LitVec::const_iterator it = conflict_.begin(), end = conflict_.end(); it != end; ++it) {
		s.markSeen(*it);
	}
	// map marked root decisions back to our assumptions
	uint32 roots = sizeVec(conflict_), dl;
	cs += roots;
	for (LitSet::iterator it = assume_.begin(), end = assume_.end(); it != end && roots; ++it) {
		Literal p = it->lit;
		if (s.seen(p) && (dl = s.level(p.var())) > eRoot_ && dl <= aTop_) {
			assert(p == s.decision(dl) && getData(it->id).assume);
			if (dl < minDL) { minDL = dl; }
			todo_.add(LitPair(~p, it->id), getData(it->id).weight);
			assert(s.isFalse(~p));
			s.clearSeen(p.var());
			--roots;
		}
	}
	popPath(s, minDL - (minDL != 0));
	if (roots) { // clear remaining levels - can only happen if someone messed with our assumptions
		cs -= roots;
		for (LitVec::const_iterator it = conflict_.begin(), end = conflict_.end(); it != end; ++it) { s.clearSeen(it->var()); }
	}
	conflict_.clear();
	return cs;
}

// Eliminates the given core by adding suitable constraints to the solver.
bool UncoreMinimize::addCore(Solver& s, const LitPair* lits, uint32 cs, weight_t w, bool updateLower) {
	assert(s.decisionLevel() == s.rootLevel());
	assert(w && cs);
	// apply weight and check for subcores
	if (updateLower) { lower_ += w; }
	for (uint32 i = 0; i != cs; ++i) {
		LitData& x = getData(lits[i].id);
		if ( (x.weight -= w) <= 0) {
			x.assume = 0;
			x.weight = 0;
		}
		else if (disj_ && !x.assume) {
			x.assume = 1;
			assume_.push_back(LitPair(~lits[i].lit, lits[i].id));
		}
		if (x.weight == 0 && hasCore(x)) {
			Core& core = getCore(x);
			temp_.start(core.bound + 1);
			for (uint32 k = 0, end = core.size(); k != end; ++k) {
				Literal p = core.at(k);
				while (s.topValue(p.var()) != s.value(p.var()) && s.rootLevel() > eRoot_) {
					s.popRootLevel(s.rootLevel() - std::max(s.level(p.var())-1, eRoot_));
					aTop_ = std::min(aTop_, s.rootLevel());
				}
				temp_.add(s, p);
			}
			weight_t cw = core.weight;
			if (!closeCore(s, x, temp_.bound <= 1) || !addOllCon(s, temp_, cw)) {
				return false;
			}
		}
	}
	if (cs == 1) {
		return fixLit(s, lits[0].lit);
	}
	// add new core
	switch (options_.algo) {
		default:
		case OptParams::usc_oll: return addOll(s, lits, cs, w);
		case OptParams::usc_one: return addK(s, cs, lits, cs, w);
		case OptParams::usc_k:   return addK(s, options_.kLim, lits, cs, w);
		case OptParams::usc_pmr: return addPmr(s, lits, cs, w);
	}
}
bool UncoreMinimize::addOll(Solver& s, const LitPair* lits, uint32 size, weight_t w) {
	temp_.start(2);
	for (uint32 i = 0; i != size; ++i) { temp_.add(s, lits[i].lit); }
	if (!temp_.unsat()) {
		return addOllCon(s, temp_, w);
	}
	Literal fix = !temp_.lits.empty() ? temp_.lits[0].first : lits[0].lit;
	return temp_.bound < 2 || fixLit(s, fix);
}
bool UncoreMinimize::addK(Solver& s, uint32 k, const LitPair* lits, uint32 size, weight_t w) {
	const bool concise = options_.hasOption(OptParams::usc_succinct);
	const int x = k ? (size + (k-1)) / k
	            : size <= 8 ? 1
	            : (int)std::ceil(size / (((std::log10(size)*16)-2)/2.0));
	k = (size + (x-1)) / x;
	uint32 idx = 1;
	Literal cp = ~lits[0].lit, bin[2];
	do {
		uint32 n = k, connect = uint32((idx + k) < size);
		if (!connect) {
			n = size - idx;
		}
		weight_t B = static_cast<weight_t>(n + connect);
		temp_.start(B);
		temp_.add(s, cp);
		for (uint32 i = 0; i != n; ++i) {
			temp_.add(s, ~lits[idx++].lit);
		}
		if (connect) {
			bin[0] = newLit(s);
			temp_.add(s, ~bin[0]);
			cp = bin[0];
		}
		for (uint32 i = 0, b = connect; i != n; ++i, b = 1) {
			Literal ri = newAssumption(newLit(s), w).lit;
			bin[b] = ri;
			temp_.add(s, ~ri);
			if (b) { // bin[0] -> bin[1];
				addImplication(s, bin[0], bin[1], concise);
				bin[0] = bin[1];
			}
		}
		if (!addConstraint(s, temp_.begin(), temp_.size(), temp_.bound)) {
			return false;
		}
	} while (idx != size);
	if (!concise && !s.hasConflict()) {
		typedef ClauseCreator::Result Result;
		const uint32 flags = ClauseCreator::clause_explicit | ClauseCreator::clause_not_root_sat | ClauseCreator::clause_no_add;
		for (uint32 i = 0; i != size; ++i)   { conflict_.push_back(lits[i].lit); }
		for (uint32 i = 1; i <= eRoot_; ++i) { conflict_.push_back(~s.decision(i)); }
		Result res = ClauseCreator::create(s, conflict_, flags, Constraint_t::Other);
		if (res.local) { closed_.push_back(res.local); }
		conflict_.clear();
	}
	return !s.hasConflict();
}
bool UncoreMinimize::addPmr(Solver& s, const LitPair* lits, uint32 size, weight_t w) {
	assert(size > 1);
	uint32 i   = size - 1;
	Literal bp = lits[i].lit;
	while (--i != 0) {
		Literal an = lits[i].lit;
		Literal bn = newLit(s);
		Literal cn = newLit(s);
		newAssumption(~cn, w);
		if (!addPmrCon(comp_disj, s, bn, an, bp)) { return false; }
		if (!addPmrCon(comp_conj, s, cn, an, bp)) { return false; }
		bp = bn;
	}
	Literal an = lits[i].lit;
	Literal cn = newLit(s);
	newAssumption(~cn, w);
	return addPmrCon(comp_conj, s, cn, an, bp);
}
bool UncoreMinimize::addPmrCon(CompType c, Solver& s, Literal head, Literal body1, Literal body2) {
	typedef ClauseCreator::Result Result;
	const uint32 flags = ClauseCreator::clause_explicit | ClauseCreator::clause_not_root_sat | ClauseCreator::clause_no_add;
	const bool    sign = c == comp_conj;
	uint32       first = 0, last = 3;
	if (options_.hasOption(OptParams::usc_succinct)) {
		first = c == comp_disj;
		last  = first + (1 + (c == comp_disj));
	}
	Literal temp[3][3] = {
		{ (~head)^ sign,   body1 ^ sign, body2 ^ sign },
		{   head ^ sign, (~body1)^ sign, lit_false() },
		{   head ^ sign, (~body2)^ sign, lit_false() }
	};
	for (uint32 i = first, sz = 3; i != last; ++i) {
		Result res = ClauseCreator::create(s, ClauseRep::create(temp[i], sz, Constraint_t::Other), flags);
		if (res.local) { closed_.push_back(res.local); }
		if (!res.ok()) { return false; }
		sz = 2;
	}
	return true;
}
bool UncoreMinimize::addOllCon(Solver& s, const WCTemp& wc, weight_t weight) {
	typedef WeightConstraint::CPair ResPair;
	weight_t B = wc.bound;
	if (B <= 0) {
		// constraint is sat and hence conflicting w.r.t new assumption -
		// relax core
		lower_ += ((1-B)*weight);
		B       = 1;
	}
	if (static_cast<uint32>(B) > static_cast<uint32>(wc.lits.size())) {
		// constraint is unsat and hence the new assumption is trivially satisfied
		return true;
	}
	// create new var for this core
	LitPair aux = newAssumption(newLit(s), weight);
	WeightLitsRep rep = {const_cast<WCTemp&>(wc).begin(), wc.size(), B, (weight_t)wc.size()};
	uint32       fset = WeightConstraint::create_explicit | WeightConstraint::create_no_add | WeightConstraint::create_no_freeze | WeightConstraint::create_no_share;
	if (options_.hasOption(OptParams::usc_succinct)) { fset |= WeightConstraint::create_only_bfb; }
	ResPair       res = WeightConstraint::create(s, ~aux.lit, rep, fset);
	if (res.ok() && res.first()) {
		getData(aux.id).coreId = allocCore(res.first(), B, weight, rep.bound != rep.reach);
	}
	return !s.hasConflict();
}
// Adds implication: a -> b either via a single watch on a or as a clause -a v b.
bool UncoreMinimize::addImplication(Solver& s, Literal a, Literal b, bool concise) {
	if (concise) {
		POTASSCO_ASSERT(s.auxVar(a.var()));
		s.addWatch(a, this, b.id());
	}
	else {
		typedef ClauseCreator::Result Result;
		const uint32 flags = ClauseCreator::clause_explicit | ClauseCreator::clause_not_root_sat | ClauseCreator::clause_no_add;
		Literal clause[] = {~a, b};
		Result res = ClauseCreator::create(s, ClauseRep::create(clause, 2, Constraint_t::Other), flags);
		if (res.local) { closed_.push_back(res.local); }
		if (!res.ok()) { return false; }
	}
	return true;
}
// Adds the cardinality constraint lits[0] + ... + lits[size-1] >= bound.
bool UncoreMinimize::addConstraint(Solver& s, WeightLiteral* lits, uint32 size, weight_t bound) {
	typedef WeightConstraint::CPair ResPair;
	WeightLitsRep rep = {lits, size, bound, static_cast<weight_t>(size)};
	const uint32 fset = WeightConstraint::create_explicit | WeightConstraint::create_no_add | WeightConstraint::create_no_freeze | WeightConstraint::create_no_share;
	ResPair       res = WeightConstraint::create(s, lit_true(), rep, fset);
	if (res.first()) {
		closed_.push_back(res.first());
	}
	return res.ok();
}

// Computes the solver's initial root level, i.e. all assumptions that are not from us.
uint32 UncoreMinimize::initRoot(Solver& s) {
	if (eRoot_ == aTop_ && !s.hasStopConflict()) {
		eRoot_ = s.rootLevel();
		aTop_  = eRoot_;
	}
	return eRoot_;
}

// Assigns p at the solver's initial root level.
bool UncoreMinimize::fixLit(Solver& s, Literal p) {
	assert(s.decisionLevel() >= eRoot_);
	if (s.decisionLevel() > eRoot_ && (!s.isTrue(p) || s.level(p.var()) > eRoot_)) {
		// go back to root level
		s.popRootLevel(s.rootLevel() - eRoot_);
		aTop_ = s.rootLevel();
	}
	if (eRoot_ && s.topValue(p.var()) != trueValue(p)) { fix_.push_back(p); }
	return !s.hasConflict() && s.force(p, this);
}
// Fixes any remaining assumptions of the active optimization level.
bool UncoreMinimize::fixLevel(Solver& s) {
	for (LitSet::iterator it = assume_.begin(), end = assume_.end(); it != end; ++it) {
		if (getData(it->id).assume) { fixLit(s, it->lit); }
	}
	releaseLits();
	return !s.hasConflict();
}
void UncoreMinimize::releaseLits() {
	// remaining cores are no longer open - move to closed list
	for (CoreTable::iterator it = open_.begin(), end = open_.end(); it != end; ++it) {
		if (it->con) { closed_.push_back(it->con); }
	}
	open_.clear();
	litData_.clear();
	assume_.clear();
	todo_.clear();
	freeOpen_ = 0;
}

uint32 UncoreMinimize::allocCore(WeightConstraint* con, weight_t bound, weight_t weight, bool open) {
	if (!open) {
		closed_.push_back(con);
		return 0;
	}
	if (freeOpen_) { // pop next slot from free list
		uint32 fp = freeOpen_ - 1;
		assert(open_[fp].con == 0 && open_[fp].bound == static_cast<weight_t>(0xDEADC0DE));
		freeOpen_ = static_cast<uint32>(open_[fp].weight);
		open_[fp] = Core(con, bound, weight);
		return fp + 1;
	}
	open_.push_back(Core(con, bound, weight));
	return static_cast<uint32>(open_.size());
}
bool UncoreMinimize::closeCore(Solver& s, LitData& x, bool sat) {
	if (uint32 coreId = x.coreId) {
		Core& core = open_[coreId-1];
		x.coreId = 0;
		// close by moving to closed list
		if (!sat) { closed_.push_back(core.con); }
		else { fixLit(s, core.tag()); core.con->destroy(&s, true); }
		// link slot to free list
		core      = Core(0, static_cast<weight_t>(0xDEADC0DE), static_cast<weight_t>(freeOpen_));
		freeOpen_ = coreId;
	}
	return !s.hasConflict();
}
bool UncoreMinimize::pushTrim(Solver& s) {
	assert(!s.hasConflict() && s.rootLevel() == aTop_ && conflict_.empty());
	uint32 top = aTop_;
	todo_.shrinkPush(*this, s);
	if ((aTop_ = s.rootLevel()) != top && !s.hasConflict() && options_.tLim) {
		struct Limit : public PostPropagator {
			Limit(UncoreMinimize& s, uint64 lim) : self(&s), limit(lim) {}
			uint32 priority() const { return priority_reserved_ufs + 2; }
			bool propagateFixpoint(Clasp::Solver& s, Clasp::PostPropagator* ctx) {
				if (ctx || s.stats.conflicts < limit) { return true; }
				s.setStopConflict();
				self->next_ = 1;
				self = 0;
				s.removePost(this);
				return false;
			}
			void undoLevel(Solver& s) {
				if (self) { s.removePost(this); }
				this->destroy();
			}
			UncoreMinimize* self;
			uint64 limit;
		}*limit = new Limit(*this, s.stats.conflicts + (uint64(1) << options_.tLim));
		s.addPost(limit);
		s.addUndoWatch(aTop_, limit);
	}
	else if (s.hasStopConflict() && conflict_.size() == 2) {
		assert(getData(conflict_[1].rep()).assume);
		lower_ -= todo_.weight();
		todo_.clear(true);
		s.clearStopConflict();
		conflict_.clear();
		popPath(s, 0);
		pushPath(s);
	}
	return !s.hasConflict();
}
void UncoreMinimize::resetTrim(Solver& s) {
	if (todo_.size()) {
		addCore(s, &*todo_.begin(), todo_.size(), todo_.weight(), false);
		todo_.clear();
	}
}
uint32  UncoreMinimize::Core::size()       const { return con->size() - 1; }
Literal UncoreMinimize::Core::at(uint32 i) const { return con->lit(i+1, WeightConstraint::FFB_BTB); }
Literal UncoreMinimize::Core::tag()        const { return con->lit(0, WeightConstraint::FTB_BFB); }
void    UncoreMinimize::WCTemp::add(Solver& s, Literal p) {
	if (s.topValue(p.var()) == value_free) { lits.push_back(WeightLiteral(p, 1)); }
	else if (s.isTrue(p)) { --bound; }
}
void UncoreMinimize::Todo::clear(bool withShrink) {
	lits_.clear();
	minW_ = CLASP_WEIGHT_T_MAX;
	if (withShrink) { shrinkReset(); }
}
void UncoreMinimize::Todo::shrinkReset() {
	core_.clear();
	last_ = next_ = step_ = 0;
}
void UncoreMinimize::Todo::terminate() {
	lits_.push_back(LitPair(lit_true(), 0));
	minW_ = CLASP_WEIGHT_T_MAX;
}
void UncoreMinimize::Todo::add(const LitPair& x, weight_t w) {
	lits_.push_back(x);
	if (w < minW_) { minW_ = w; }
}
void UncoreMinimize::Todo::shrinkPush(UncoreMinimize& self, Solver& s) {
	const uint32 skip = step_ < sizeVec(core_) ? core_[step_].id : 0u;
	uint32 n = next_;
	for (Todo::const_iterator it = lits_.end(); n--;) {
		const LitPair& x = *--it;
		if (x.id != skip && !self.push(s, ~x.lit, x.id)) {
			break;
		}
	}
}
bool UncoreMinimize::Todo::shrinkNext(UncoreMinimize& self, ValueRep result) {
	if (self.options_.trim == OptParams::usc_trim_min) {
		return subsetNext(self, result);
	}
	if (result == value_false) {
		next_ = last_;
		step_ = 0u;
	}
	else {
		last_ = next_;
	}
	const uint32 t  = self.options_.trim;
	const uint32 mx = size();
	uint32 s = step_;
	switch (t) {
		default:
		case OptParams::usc_trim_lin: step_ = s = 1;                break;
		case OptParams::usc_trim_inv: step_ = s = (mx - next_) - 1; break;
		case OptParams::usc_trim_rgs:
			if      (s == 0u)          { step_ = s = uint32(last_ == 0u); }
			else if ((next_ + s) > mx) { step_ = 2; s = 1; }
			else                       { step_ = s * 2; }
			break;
		case OptParams::usc_trim_exp:
			if      (s == 0u)          { s = step_ = uint32(last_ == 0u); }
			else if ((next_ + s) < mx) { step_ = s * 2; }
			else                       { s = (mx - next_) / 2; }
			break;
		case OptParams::usc_trim_bin: step_ = s = (mx - next_) / 2; break;
	}
	return s && (next_ += s) < mx;
}
bool UncoreMinimize::Todo::subsetNext(UncoreMinimize& self, ValueRep result) {
	if      (result == value_true) { ++step_; }
	else if (!core_.empty()) {
		for (Todo::const_iterator it = lits_.begin(), end = lits_.end(); it != end; ++it) {
			self.setFlag(it->id, true);
		}
		LitSet::iterator j = core_.begin();
		uint32 marked = 0u;
		for (LitSet::const_iterator it = j, s = j + step_, end = core_.end(); it != end; ++it) {
			if (self.flagged(it->id)) {
				self.setFlag(it->id, false);
				++marked;
				*j++ = *it;
			}
			else if (j < s) {
				--s, --step_;
			}
		}
		assert(marked == size());
		core_.erase(j, core_.end());
		next_ = marked;
	}
	else {
		for (Todo::const_iterator it = lits_.end(), end = lits_.begin(); it != end;) { core_.push_back(*--it); }
		step_ = 0;
		next_ = size();
	}
	return step_ < size() && size() > 1;
}
} // end namespaces Clasp
