ortools-clone/ortools/constraint_solver/expr_array.cc

// Copyright 2010-2022 Google LLC
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

//
//  Array Expression constraints

#include <algorithm>
#include <cmath>
#include <cstdint>
#include <limits>
#include <string>
#include <vector>

#include "absl/strings/str_format.h"
#include "absl/strings/str_join.h"
#include "ortools/base/integral_types.h"
#include "ortools/base/logging.h"
#include "ortools/base/mathutil.h"
#include "ortools/constraint_solver/constraint_solver.h"
#include "ortools/constraint_solver/constraint_solveri.h"
#include "ortools/util/saturated_arithmetic.h"
#include "ortools/util/string_array.h"

namespace operations_research {
namespace {
// ----- Tree Array Constraint -----

class TreeArrayConstraint : public CastConstraint {
 public:
  TreeArrayConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                      IntVar* const sum_var)
      : CastConstraint(solver, sum_var),
        vars_(vars),
        block_size_(solver->parameters().array_split_size()) {
    std::vector<int> lengths;
    lengths.push_back(vars_.size());
    while (lengths.back() > 1) {
      const int current = lengths.back();
      lengths.push_back((current + block_size_ - 1) / block_size_);
    }
    tree_.resize(lengths.size());
    for (int i = 0; i < lengths.size(); ++i) {
      tree_[i].resize(lengths[lengths.size() - i - 1]);
    }
    DCHECK_GE(tree_.size(), 1);
    DCHECK_EQ(1, tree_[0].size());
    root_node_ = &tree_[0][0];
  }

  std::string DebugStringInternal(const std::string& name) const {
    return absl::StrFormat("%s(%s) == %s", name,
                           JoinDebugStringPtr(vars_, ", "),
                           target_var_->DebugString());
  }

  void AcceptInternal(const std::string& name,
                      ModelVisitor* const visitor) const {
    visitor->BeginVisitConstraint(name, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            target_var_);
    visitor->EndVisitConstraint(name, this);
  }

  // Increases min by delta_min, reduces max by delta_max.
  void ReduceRange(int depth, int position, int64_t delta_min,
                   int64_t delta_max) {
    NodeInfo* const info = &tree_[depth][position];
    if (delta_min > 0) {
      info->node_min.SetValue(solver(),
                              CapAdd(info->node_min.Value(), delta_min));
    }
    if (delta_max > 0) {
      info->node_max.SetValue(solver(),
                              CapSub(info->node_max.Value(), delta_max));
    }
  }

  // Sets the range on the given node.
  void SetRange(int depth, int position, int64_t new_min, int64_t new_max) {
    NodeInfo* const info = &tree_[depth][position];
    if (new_min > info->node_min.Value()) {
      info->node_min.SetValue(solver(), new_min);
    }
    if (new_max < info->node_max.Value()) {
      info->node_max.SetValue(solver(), new_max);
    }
  }

  void InitLeaf(int position, int64_t var_min, int64_t var_max) {
    InitNode(MaxDepth(), position, var_min, var_max);
  }

  void InitNode(int depth, int position, int64_t node_min, int64_t node_max) {
    tree_[depth][position].node_min.SetValue(solver(), node_min);
    tree_[depth][position].node_max.SetValue(solver(), node_max);
  }

  int64_t Min(int depth, int position) const {
    return tree_[depth][position].node_min.Value();
  }

  int64_t Max(int depth, int position) const {
    return tree_[depth][position].node_max.Value();
  }

  int64_t RootMin() const { return root_node_->node_min.Value(); }

  int64_t RootMax() const { return root_node_->node_max.Value(); }

  int Parent(int position) const { return position / block_size_; }

  int ChildStart(int position) const { return position * block_size_; }

  int ChildEnd(int depth, int position) const {
    DCHECK_LT(depth + 1, tree_.size());
    return std::min((position + 1) * block_size_ - 1, Width(depth + 1) - 1);
  }

  bool IsLeaf(int depth) const { return depth == MaxDepth(); }

  int MaxDepth() const { return tree_.size() - 1; }

  int Width(int depth) const { return tree_[depth].size(); }

 protected:
  const std::vector<IntVar*> vars_;

 private:
  struct NodeInfo {
    NodeInfo() : node_min(0), node_max(0) {}
    Rev<int64_t> node_min;
    Rev<int64_t> node_max;
  };

  std::vector<std::vector<NodeInfo> > tree_;
  const int block_size_;
  NodeInfo* root_node_;
};

// ---------- Sum Array ----------

// Some of these optimizations here are described in:
// "Bounds consistency techniques for long linear constraints".  In
// Workshop on Techniques for Implementing Constraint Programming
// Systems (TRICS), a workshop of CP 2002, N. Beldiceanu, W. Harvey,
// Martin Henz, Francois Laburthe, Eric Monfroy, Tobias Müller,
// Laurent Perron and Christian Schulte editors, pages 39-46, 2002.

// ----- SumConstraint -----

// This constraint implements sum(vars) == sum_var.
class SumConstraint : public TreeArrayConstraint {
 public:
  SumConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                IntVar* const sum_var)
      : TreeArrayConstraint(solver, vars, sum_var), sum_demon_(nullptr) {}

  ~SumConstraint() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      Demon* const demon = MakeConstraintDemon1(
          solver(), this, &SumConstraint::LeafChanged, "LeafChanged", i);
      vars_[i]->WhenRange(demon);
    }
    sum_demon_ = solver()->RegisterDemon(MakeDelayedConstraintDemon0(
        solver(), this, &SumConstraint::SumChanged, "SumChanged"));
    target_var_->WhenRange(sum_demon_);
  }

  void InitialPropagate() override {
    // Copy vars to leaf nodes.
    for (int i = 0; i < vars_.size(); ++i) {
      InitLeaf(i, vars_[i]->Min(), vars_[i]->Max());
    }
    // Compute up.
    for (int i = MaxDepth() - 1; i >= 0; --i) {
      for (int j = 0; j < Width(i); ++j) {
        int64_t sum_min = 0;
        int64_t sum_max = 0;
        const int block_start = ChildStart(j);
        const int block_end = ChildEnd(i, j);
        for (int k = block_start; k <= block_end; ++k) {
          sum_min = CapAdd(sum_min, Min(i + 1, k));
          sum_max = CapAdd(sum_max, Max(i + 1, k));
        }
        InitNode(i, j, sum_min, sum_max);
      }
    }
    // Propagate to sum_var.
    target_var_->SetRange(RootMin(), RootMax());

    // Push down.
    SumChanged();
  }

  void SumChanged() {
    if (target_var_->Max() == RootMin() &&
        target_var_->Max() != std::numeric_limits<int64_t>::max()) {
      // We can fix all terms to min.
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetValue(vars_[i]->Min());
      }
    } else if (target_var_->Min() == RootMax() &&
               target_var_->Min() != std::numeric_limits<int64_t>::min()) {
      // We can fix all terms to max.
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetValue(vars_[i]->Max());
      }
    } else {
      PushDown(0, 0, target_var_->Min(), target_var_->Max());
    }
  }

  void PushDown(int depth, int position, int64_t new_min, int64_t new_max) {
    // Nothing to do?
    if (new_min <= Min(depth, position) && new_max >= Max(depth, position)) {
      return;
    }

    // Leaf node -> push to leaf var.
    if (IsLeaf(depth)) {
      vars_[position]->SetRange(new_min, new_max);
      return;
    }

    // Standard propagation from the bounds of the sum to the
    // individuals terms.

    // These are maintained automatically in the tree structure.
    const int64_t sum_min = Min(depth, position);
    const int64_t sum_max = Max(depth, position);

    // Intersect the new bounds with the computed bounds.
    new_max = std::min(sum_max, new_max);
    new_min = std::max(sum_min, new_min);

    // Detect failure early.
    if (new_max < sum_min || new_min > sum_max) {
      solver()->Fail();
    }

    // Push to children nodes.
    const int block_start = ChildStart(position);
    const int block_end = ChildEnd(depth, position);
    for (int i = block_start; i <= block_end; ++i) {
      const int64_t target_var_min = Min(depth + 1, i);
      const int64_t target_var_max = Max(depth + 1, i);
      const int64_t residual_min = CapSub(sum_min, target_var_min);
      const int64_t residual_max = CapSub(sum_max, target_var_max);
      PushDown(depth + 1, i, CapSub(new_min, residual_max),
               CapSub(new_max, residual_min));
    }
    // TODO(user) : Is the diameter optimization (see reference
    // above, rule 5) useful?
  }

  void LeafChanged(int term_index) {
    IntVar* const var = vars_[term_index];
    PushUp(term_index, CapSub(var->Min(), var->OldMin()),
           CapSub(var->OldMax(), var->Max()));
    EnqueueDelayedDemon(sum_demon_);  // TODO(user): Is this needed?
  }

  void PushUp(int position, int64_t delta_min, int64_t delta_max) {
    DCHECK_GE(delta_max, 0);
    DCHECK_GE(delta_min, 0);
    DCHECK_GT(CapAdd(delta_min, delta_max), 0);
    for (int depth = MaxDepth(); depth >= 0; --depth) {
      ReduceRange(depth, position, delta_min, delta_max);
      position = Parent(position);
    }
    DCHECK_EQ(0, position);
    target_var_->SetRange(RootMin(), RootMax());
  }

  std::string DebugString() const override {
    return DebugStringInternal("Sum");
  }

  void Accept(ModelVisitor* const visitor) const override {
    AcceptInternal(ModelVisitor::kSumEqual, visitor);
  }

 private:
  Demon* sum_demon_;
};

// This constraint implements sum(vars) == target_var.
class SmallSumConstraint : public Constraint {
 public:
  SmallSumConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                     IntVar* const target_var)
      : Constraint(solver),
        vars_(vars),
        target_var_(target_var),
        computed_min_(0),
        computed_max_(0),
        sum_demon_(nullptr) {}

  ~SmallSumConstraint() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      if (!vars_[i]->Bound()) {
        Demon* const demon = MakeConstraintDemon1(
            solver(), this, &SmallSumConstraint::VarChanged, "VarChanged",
            vars_[i]);
        vars_[i]->WhenRange(demon);
      }
    }
    sum_demon_ = solver()->RegisterDemon(MakeDelayedConstraintDemon0(
        solver(), this, &SmallSumConstraint::SumChanged, "SumChanged"));
    target_var_->WhenRange(sum_demon_);
  }

  void InitialPropagate() override {
    // Compute up.
    int64_t sum_min = 0;
    int64_t sum_max = 0;
    for (IntVar* const var : vars_) {
      sum_min = CapAdd(sum_min, var->Min());
      sum_max = CapAdd(sum_max, var->Max());
    }

    // Propagate to sum_var.
    computed_min_.SetValue(solver(), sum_min);
    computed_max_.SetValue(solver(), sum_max);
    target_var_->SetRange(sum_min, sum_max);

    // Push down.
    SumChanged();
  }

  void SumChanged() {
    int64_t new_min = target_var_->Min();
    int64_t new_max = target_var_->Max();
    const int64_t sum_min = computed_min_.Value();
    const int64_t sum_max = computed_max_.Value();
    if (new_max == sum_min && new_max != std::numeric_limits<int64_t>::max()) {
      // We can fix all terms to min.
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetValue(vars_[i]->Min());
      }
    } else if (new_min == sum_max &&
               new_min != std::numeric_limits<int64_t>::min()) {
      // We can fix all terms to max.
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetValue(vars_[i]->Max());
      }
    } else {
      if (new_min > sum_min || new_max < sum_max) {  // something to do.
        // Intersect the new bounds with the computed bounds.
        new_max = std::min(sum_max, new_max);
        new_min = std::max(sum_min, new_min);

        // Detect failure early.
        if (new_max < sum_min || new_min > sum_max) {
          solver()->Fail();
        }

        // Push to variables.
        for (IntVar* const var : vars_) {
          const int64_t var_min = var->Min();
          const int64_t var_max = var->Max();
          const int64_t residual_min = CapSub(sum_min, var_min);
          const int64_t residual_max = CapSub(sum_max, var_max);
          var->SetRange(CapSub(new_min, residual_max),
                        CapSub(new_max, residual_min));
        }
      }
    }
  }

  void VarChanged(IntVar* var) {
    const int64_t delta_min = CapSub(var->Min(), var->OldMin());
    const int64_t delta_max = CapSub(var->OldMax(), var->Max());
    computed_min_.Add(solver(), delta_min);
    computed_max_.Add(solver(), -delta_max);
    if (computed_max_.Value() < target_var_->Max() ||
        computed_min_.Value() > target_var_->Min()) {
      target_var_->SetRange(computed_min_.Value(), computed_max_.Value());
    } else {
      EnqueueDelayedDemon(sum_demon_);
    }
  }

  std::string DebugString() const override {
    return absl::StrFormat("SmallSum(%s) == %s",
                           JoinDebugStringPtr(vars_, ", "),
                           target_var_->DebugString());
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kSumEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            target_var_);
    visitor->EndVisitConstraint(ModelVisitor::kSumEqual, this);
  }

 private:
  const std::vector<IntVar*> vars_;
  IntVar* target_var_;
  NumericalRev<int64_t> computed_min_;
  NumericalRev<int64_t> computed_max_;
  Demon* sum_demon_;
};
// ----- SafeSumConstraint -----

bool DetectSumOverflow(const std::vector<IntVar*>& vars) {
  int64_t sum_min = 0;
  int64_t sum_max = 0;
  for (int i = 0; i < vars.size(); ++i) {
    sum_min = CapAdd(sum_min, vars[i]->Min());
    sum_max = CapAdd(sum_max, vars[i]->Max());
    if (sum_min == std::numeric_limits<int64_t>::min() ||
        sum_max == std::numeric_limits<int64_t>::max()) {
      return true;
    }
  }
  return false;
}

// This constraint implements sum(vars) == sum_var.
class SafeSumConstraint : public TreeArrayConstraint {
 public:
  SafeSumConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                    IntVar* const sum_var)
      : TreeArrayConstraint(solver, vars, sum_var), sum_demon_(nullptr) {}

  ~SafeSumConstraint() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      Demon* const demon = MakeConstraintDemon1(
          solver(), this, &SafeSumConstraint::LeafChanged, "LeafChanged", i);
      vars_[i]->WhenRange(demon);
    }
    sum_demon_ = solver()->RegisterDemon(MakeDelayedConstraintDemon0(
        solver(), this, &SafeSumConstraint::SumChanged, "SumChanged"));
    target_var_->WhenRange(sum_demon_);
  }

  void SafeComputeNode(int depth, int position, int64_t* const sum_min,
                       int64_t* const sum_max) {
    DCHECK_LT(depth, MaxDepth());
    const int block_start = ChildStart(position);
    const int block_end = ChildEnd(depth, position);
    for (int k = block_start; k <= block_end; ++k) {
      if (*sum_min != std::numeric_limits<int64_t>::min()) {
        *sum_min = CapAdd(*sum_min, Min(depth + 1, k));
      }
      if (*sum_max != std::numeric_limits<int64_t>::max()) {
        *sum_max = CapAdd(*sum_max, Max(depth + 1, k));
      }
      if (*sum_min == std::numeric_limits<int64_t>::min() &&
          *sum_max == std::numeric_limits<int64_t>::max()) {
        break;
      }
    }
  }

  void InitialPropagate() override {
    // Copy vars to leaf nodes.
    for (int i = 0; i < vars_.size(); ++i) {
      InitLeaf(i, vars_[i]->Min(), vars_[i]->Max());
    }
    // Compute up.
    for (int i = MaxDepth() - 1; i >= 0; --i) {
      for (int j = 0; j < Width(i); ++j) {
        int64_t sum_min = 0;
        int64_t sum_max = 0;
        SafeComputeNode(i, j, &sum_min, &sum_max);
        InitNode(i, j, sum_min, sum_max);
      }
    }
    // Propagate to sum_var.
    target_var_->SetRange(RootMin(), RootMax());

    // Push down.
    SumChanged();
  }

  void SumChanged() {
    DCHECK(CheckInternalState());
    if (target_var_->Max() == RootMin()) {
      // We can fix all terms to min.
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetValue(vars_[i]->Min());
      }
    } else if (target_var_->Min() == RootMax()) {
      // We can fix all terms to max.
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetValue(vars_[i]->Max());
      }
    } else {
      PushDown(0, 0, target_var_->Min(), target_var_->Max());
    }
  }

  void PushDown(int depth, int position, int64_t new_min, int64_t new_max) {
    // Nothing to do?
    if (new_min <= Min(depth, position) && new_max >= Max(depth, position)) {
      return;
    }

    // Leaf node -> push to leaf var.
    if (IsLeaf(depth)) {
      vars_[position]->SetRange(new_min, new_max);
      return;
    }

    // Standard propagation from the bounds of the sum to the
    // individuals terms.

    // These are maintained automatically in the tree structure.
    const int64_t sum_min = Min(depth, position);
    const int64_t sum_max = Max(depth, position);

    // Intersect the new bounds with the computed bounds.
    new_max = std::min(sum_max, new_max);
    new_min = std::max(sum_min, new_min);

    // Detect failure early.
    if (new_max < sum_min || new_min > sum_max) {
      solver()->Fail();
    }

    // Push to children nodes.
    const int block_start = ChildStart(position);
    const int block_end = ChildEnd(depth, position);
    for (int pos = block_start; pos <= block_end; ++pos) {
      const int64_t target_var_min = Min(depth + 1, pos);
      const int64_t residual_min =
          sum_min != std::numeric_limits<int64_t>::min()
              ? CapSub(sum_min, target_var_min)
              : std::numeric_limits<int64_t>::min();
      const int64_t target_var_max = Max(depth + 1, pos);
      const int64_t residual_max =
          sum_max != std::numeric_limits<int64_t>::max()
              ? CapSub(sum_max, target_var_max)
              : std::numeric_limits<int64_t>::max();
      PushDown(depth + 1, pos,
               (residual_max == std::numeric_limits<int64_t>::min()
                    ? std::numeric_limits<int64_t>::min()
                    : CapSub(new_min, residual_max)),
               (residual_min == std::numeric_limits<int64_t>::max()
                    ? std::numeric_limits<int64_t>::min()
                    : CapSub(new_max, residual_min)));
    }
    // TODO(user) : Is the diameter optimization (see reference
    // above, rule 5) useful?
  }

  void LeafChanged(int term_index) {
    IntVar* const var = vars_[term_index];
    PushUp(term_index, CapSub(var->Min(), var->OldMin()),
           CapSub(var->OldMax(), var->Max()));
    EnqueueDelayedDemon(sum_demon_);  // TODO(user): Is this needed?
  }

  void PushUp(int position, int64_t delta_min, int64_t delta_max) {
    DCHECK_GE(delta_max, 0);
    DCHECK_GE(delta_min, 0);
    if (CapAdd(delta_min, delta_max) == 0) {
      // This may happen if the computation of old min/max has under/overflowed
      // resulting in no actual change in min and max.
      return;
    }
    bool delta_corrupted = false;
    for (int depth = MaxDepth(); depth >= 0; --depth) {
      if (Min(depth, position) != std::numeric_limits<int64_t>::min() &&
          Max(depth, position) != std::numeric_limits<int64_t>::max() &&
          delta_min != std::numeric_limits<int64_t>::max() &&
          delta_max != std::numeric_limits<int64_t>::max() &&
          !delta_corrupted) {  // No overflow.
        ReduceRange(depth, position, delta_min, delta_max);
      } else if (depth == MaxDepth()) {  // Leaf.
        SetRange(depth, position, vars_[position]->Min(),
                 vars_[position]->Max());
        delta_corrupted = true;
      } else {  // Recompute.
        int64_t sum_min = 0;
        int64_t sum_max = 0;
        SafeComputeNode(depth, position, &sum_min, &sum_max);
        if (sum_min == std::numeric_limits<int64_t>::min() &&
            sum_max == std::numeric_limits<int64_t>::max()) {
          return;  // Nothing to do upward.
        }
        SetRange(depth, position, sum_min, sum_max);
        delta_corrupted = true;
      }
      position = Parent(position);
    }
    DCHECK_EQ(0, position);
    target_var_->SetRange(RootMin(), RootMax());
  }

  std::string DebugString() const override {
    return DebugStringInternal("Sum");
  }

  void Accept(ModelVisitor* const visitor) const override {
    AcceptInternal(ModelVisitor::kSumEqual, visitor);
  }

 private:
  bool CheckInternalState() {
    for (int i = 0; i < vars_.size(); ++i) {
      CheckLeaf(i, vars_[i]->Min(), vars_[i]->Max());
    }
    // Check up.
    for (int i = MaxDepth() - 1; i >= 0; --i) {
      for (int j = 0; j < Width(i); ++j) {
        int64_t sum_min = 0;
        int64_t sum_max = 0;
        SafeComputeNode(i, j, &sum_min, &sum_max);
        CheckNode(i, j, sum_min, sum_max);
      }
    }
    return true;
  }

  void CheckLeaf(int position, int64_t var_min, int64_t var_max) {
    CheckNode(MaxDepth(), position, var_min, var_max);
  }

  void CheckNode(int depth, int position, int64_t node_min, int64_t node_max) {
    DCHECK_EQ(Min(depth, position), node_min);
    DCHECK_EQ(Max(depth, position), node_max);
  }

  Demon* sum_demon_;
};

// ---------- Min Array ----------

// This constraint implements min(vars) == min_var.
class MinConstraint : public TreeArrayConstraint {
 public:
  MinConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                IntVar* const min_var)
      : TreeArrayConstraint(solver, vars, min_var), min_demon_(nullptr) {}

  ~MinConstraint() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      Demon* const demon = MakeConstraintDemon1(
          solver(), this, &MinConstraint::LeafChanged, "LeafChanged", i);
      vars_[i]->WhenRange(demon);
    }
    min_demon_ = solver()->RegisterDemon(MakeDelayedConstraintDemon0(
        solver(), this, &MinConstraint::MinVarChanged, "MinVarChanged"));
    target_var_->WhenRange(min_demon_);
  }

  void InitialPropagate() override {
    // Copy vars to leaf nodes.
    for (int i = 0; i < vars_.size(); ++i) {
      InitLeaf(i, vars_[i]->Min(), vars_[i]->Max());
    }

    // Compute up.
    for (int i = MaxDepth() - 1; i >= 0; --i) {
      for (int j = 0; j < Width(i); ++j) {
        int64_t min_min = std::numeric_limits<int64_t>::max();
        int64_t min_max = std::numeric_limits<int64_t>::max();
        const int block_start = ChildStart(j);
        const int block_end = ChildEnd(i, j);
        for (int k = block_start; k <= block_end; ++k) {
          min_min = std::min(min_min, Min(i + 1, k));
          min_max = std::min(min_max, Max(i + 1, k));
        }
        InitNode(i, j, min_min, min_max);
      }
    }
    // Propagate to min_var.
    target_var_->SetRange(RootMin(), RootMax());

    // Push down.
    MinVarChanged();
  }

  void MinVarChanged() {
    PushDown(0, 0, target_var_->Min(), target_var_->Max());
  }

  void PushDown(int depth, int position, int64_t new_min, int64_t new_max) {
    // Nothing to do?
    if (new_min <= Min(depth, position) && new_max >= Max(depth, position)) {
      return;
    }

    // Leaf node -> push to leaf var.
    if (IsLeaf(depth)) {
      vars_[position]->SetRange(new_min, new_max);
      return;
    }

    const int64_t node_min = Min(depth, position);
    const int64_t node_max = Max(depth, position);

    int candidate = -1;
    int active = 0;
    const int block_start = ChildStart(position);
    const int block_end = ChildEnd(depth, position);

    if (new_max < node_max) {
      // Look if only one candidat to push the max down.
      for (int i = block_start; i <= block_end; ++i) {
        if (Min(depth + 1, i) <= new_max) {
          if (active++ >= 1) {
            break;
          }
          candidate = i;
        }
      }
      if (active == 0) {
        solver()->Fail();
      }
    }

    if (node_min < new_min) {
      for (int i = block_start; i <= block_end; ++i) {
        if (i == candidate && active == 1) {
          PushDown(depth + 1, i, new_min, new_max);
        } else {
          PushDown(depth + 1, i, new_min, Max(depth + 1, i));
        }
      }
    } else if (active == 1) {
      PushDown(depth + 1, candidate, Min(depth + 1, candidate), new_max);
    }
  }

  // TODO(user): Regroup code between Min and Max constraints.
  void LeafChanged(int term_index) {
    IntVar* const var = vars_[term_index];
    SetRange(MaxDepth(), term_index, var->Min(), var->Max());
    const int parent_depth = MaxDepth() - 1;
    const int parent = Parent(term_index);
    const int64_t old_min = var->OldMin();
    const int64_t var_min = var->Min();
    const int64_t var_max = var->Max();
    if ((old_min == Min(parent_depth, parent) && old_min != var_min) ||
        var_max < Max(parent_depth, parent)) {
      // Can influence the parent bounds.
      PushUp(term_index);
    }
  }

  void PushUp(int position) {
    int depth = MaxDepth();
    while (depth > 0) {
      const int parent = Parent(position);
      const int parent_depth = depth - 1;
      int64_t min_min = std::numeric_limits<int64_t>::max();
      int64_t min_max = std::numeric_limits<int64_t>::max();
      const int block_start = ChildStart(parent);
      const int block_end = ChildEnd(parent_depth, parent);
      for (int k = block_start; k <= block_end; ++k) {
        min_min = std::min(min_min, Min(depth, k));
        min_max = std::min(min_max, Max(depth, k));
      }
      if (min_min > Min(parent_depth, parent) ||
          min_max < Max(parent_depth, parent)) {
        SetRange(parent_depth, parent, min_min, min_max);
      } else {
        break;
      }
      depth = parent_depth;
      position = parent;
    }
    if (depth == 0) {  // We have pushed all the way up.
      target_var_->SetRange(RootMin(), RootMax());
    }
    MinVarChanged();
  }

  std::string DebugString() const override {
    return DebugStringInternal("Min");
  }

  void Accept(ModelVisitor* const visitor) const override {
    AcceptInternal(ModelVisitor::kMinEqual, visitor);
  }

 private:
  Demon* min_demon_;
};

class SmallMinConstraint : public Constraint {
 public:
  SmallMinConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                     IntVar* const target_var)
      : Constraint(solver),
        vars_(vars),
        target_var_(target_var),
        computed_min_(0),
        computed_max_(0) {}

  ~SmallMinConstraint() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      if (!vars_[i]->Bound()) {
        Demon* const demon = MakeConstraintDemon1(
            solver(), this, &SmallMinConstraint::VarChanged, "VarChanged",
            vars_[i]);
        vars_[i]->WhenRange(demon);
      }
    }
    Demon* const mdemon = solver()->RegisterDemon(MakeDelayedConstraintDemon0(
        solver(), this, &SmallMinConstraint::MinVarChanged, "MinVarChanged"));
    target_var_->WhenRange(mdemon);
  }

  void InitialPropagate() override {
    int64_t min_min = std::numeric_limits<int64_t>::max();
    int64_t min_max = std::numeric_limits<int64_t>::max();
    for (IntVar* const var : vars_) {
      min_min = std::min(min_min, var->Min());
      min_max = std::min(min_max, var->Max());
    }
    computed_min_.SetValue(solver(), min_min);
    computed_max_.SetValue(solver(), min_max);
    // Propagate to min_var.
    target_var_->SetRange(min_min, min_max);

    // Push down.
    MinVarChanged();
  }

  std::string DebugString() const override {
    return absl::StrFormat("SmallMin(%s) == %s",
                           JoinDebugStringPtr(vars_, ", "),
                           target_var_->DebugString());
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kMinEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            target_var_);
    visitor->EndVisitConstraint(ModelVisitor::kMinEqual, this);
  }

 private:
  void VarChanged(IntVar* var) {
    const int64_t old_min = var->OldMin();
    const int64_t var_min = var->Min();
    const int64_t var_max = var->Max();
    if ((old_min == computed_min_.Value() && old_min != var_min) ||
        var_max < computed_max_.Value()) {
      // Can influence the min var bounds.
      int64_t min_min = std::numeric_limits<int64_t>::max();
      int64_t min_max = std::numeric_limits<int64_t>::max();
      for (IntVar* const var : vars_) {
        min_min = std::min(min_min, var->Min());
        min_max = std::min(min_max, var->Max());
      }
      if (min_min > computed_min_.Value() || min_max < computed_max_.Value()) {
        computed_min_.SetValue(solver(), min_min);
        computed_max_.SetValue(solver(), min_max);
        target_var_->SetRange(computed_min_.Value(), computed_max_.Value());
      }
    }
    MinVarChanged();
  }

  void MinVarChanged() {
    const int64_t new_min = target_var_->Min();
    const int64_t new_max = target_var_->Max();
    // Nothing to do?
    if (new_min <= computed_min_.Value() && new_max >= computed_max_.Value()) {
      return;
    }

    IntVar* candidate = nullptr;
    int active = 0;

    if (new_max < computed_max_.Value()) {
      // Look if only one candidate to push the max down.
      for (IntVar* const var : vars_) {
        if (var->Min() <= new_max) {
          if (active++ >= 1) {
            break;
          }
          candidate = var;
        }
      }
      if (active == 0) {
        solver()->Fail();
      }
    }
    if (computed_min_.Value() < new_min) {
      if (active == 1) {
        candidate->SetRange(new_min, new_max);
      } else {
        for (IntVar* const var : vars_) {
          var->SetMin(new_min);
        }
      }
    } else if (active == 1) {
      candidate->SetMax(new_max);
    }
  }

  std::vector<IntVar*> vars_;
  IntVar* const target_var_;
  Rev<int64_t> computed_min_;
  Rev<int64_t> computed_max_;
};

// ---------- Max Array ----------

// This constraint implements max(vars) == max_var.
class MaxConstraint : public TreeArrayConstraint {
 public:
  MaxConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                IntVar* const max_var)
      : TreeArrayConstraint(solver, vars, max_var), max_demon_(nullptr) {}

  ~MaxConstraint() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      Demon* const demon = MakeConstraintDemon1(
          solver(), this, &MaxConstraint::LeafChanged, "LeafChanged", i);
      vars_[i]->WhenRange(demon);
    }
    max_demon_ = solver()->RegisterDemon(MakeDelayedConstraintDemon0(
        solver(), this, &MaxConstraint::MaxVarChanged, "MaxVarChanged"));
    target_var_->WhenRange(max_demon_);
  }

  void InitialPropagate() override {
    // Copy vars to leaf nodes.
    for (int i = 0; i < vars_.size(); ++i) {
      InitLeaf(i, vars_[i]->Min(), vars_[i]->Max());
    }

    // Compute up.
    for (int i = MaxDepth() - 1; i >= 0; --i) {
      for (int j = 0; j < Width(i); ++j) {
        int64_t max_min = std::numeric_limits<int64_t>::min();
        int64_t max_max = std::numeric_limits<int64_t>::min();
        const int block_start = ChildStart(j);
        const int block_end = ChildEnd(i, j);
        for (int k = block_start; k <= block_end; ++k) {
          max_min = std::max(max_min, Min(i + 1, k));
          max_max = std::max(max_max, Max(i + 1, k));
        }
        InitNode(i, j, max_min, max_max);
      }
    }
    // Propagate to min_var.
    target_var_->SetRange(RootMin(), RootMax());

    // Push down.
    MaxVarChanged();
  }

  void MaxVarChanged() {
    PushDown(0, 0, target_var_->Min(), target_var_->Max());
  }

  void PushDown(int depth, int position, int64_t new_min, int64_t new_max) {
    // Nothing to do?
    if (new_min <= Min(depth, position) && new_max >= Max(depth, position)) {
      return;
    }

    // Leaf node -> push to leaf var.
    if (IsLeaf(depth)) {
      vars_[position]->SetRange(new_min, new_max);
      return;
    }

    const int64_t node_min = Min(depth, position);
    const int64_t node_max = Max(depth, position);

    int candidate = -1;
    int active = 0;
    const int block_start = ChildStart(position);
    const int block_end = ChildEnd(depth, position);

    if (node_min < new_min) {
      // Look if only one candidat to push the max down.
      for (int i = block_start; i <= block_end; ++i) {
        if (Max(depth + 1, i) >= new_min) {
          if (active++ >= 1) {
            break;
          }
          candidate = i;
        }
      }
      if (active == 0) {
        solver()->Fail();
      }
    }

    if (node_max > new_max) {
      for (int i = block_start; i <= block_end; ++i) {
        if (i == candidate && active == 1) {
          PushDown(depth + 1, i, new_min, new_max);
        } else {
          PushDown(depth + 1, i, Min(depth + 1, i), new_max);
        }
      }
    } else if (active == 1) {
      PushDown(depth + 1, candidate, new_min, Max(depth + 1, candidate));
    }
  }

  void LeafChanged(int term_index) {
    IntVar* const var = vars_[term_index];
    SetRange(MaxDepth(), term_index, var->Min(), var->Max());
    const int parent_depth = MaxDepth() - 1;
    const int parent = Parent(term_index);
    const int64_t old_max = var->OldMax();
    const int64_t var_min = var->Min();
    const int64_t var_max = var->Max();
    if ((old_max == Max(parent_depth, parent) && old_max != var_max) ||
        var_min > Min(parent_depth, parent)) {
      // Can influence the parent bounds.
      PushUp(term_index);
    }
  }

  void PushUp(int position) {
    int depth = MaxDepth();
    while (depth > 0) {
      const int parent = Parent(position);
      const int parent_depth = depth - 1;
      int64_t max_min = std::numeric_limits<int64_t>::min();
      int64_t max_max = std::numeric_limits<int64_t>::min();
      const int block_start = ChildStart(parent);
      const int block_end = ChildEnd(parent_depth, parent);
      for (int k = block_start; k <= block_end; ++k) {
        max_min = std::max(max_min, Min(depth, k));
        max_max = std::max(max_max, Max(depth, k));
      }
      if (max_min > Min(parent_depth, parent) ||
          max_max < Max(parent_depth, parent)) {
        SetRange(parent_depth, parent, max_min, max_max);
      } else {
        break;
      }
      depth = parent_depth;
      position = parent;
    }
    if (depth == 0) {  // We have pushed all the way up.
      target_var_->SetRange(RootMin(), RootMax());
    }
    MaxVarChanged();
  }

  std::string DebugString() const override {
    return DebugStringInternal("Max");
  }

  void Accept(ModelVisitor* const visitor) const override {
    AcceptInternal(ModelVisitor::kMaxEqual, visitor);
  }

 private:
  Demon* max_demon_;
};

class SmallMaxConstraint : public Constraint {
 public:
  SmallMaxConstraint(Solver* const solver, const std::vector<IntVar*>& vars,
                     IntVar* const target_var)
      : Constraint(solver),
        vars_(vars),
        target_var_(target_var),
        computed_min_(0),
        computed_max_(0) {}

  ~SmallMaxConstraint() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      if (!vars_[i]->Bound()) {
        Demon* const demon = MakeConstraintDemon1(
            solver(), this, &SmallMaxConstraint::VarChanged, "VarChanged",
            vars_[i]);
        vars_[i]->WhenRange(demon);
      }
    }
    Demon* const mdemon = solver()->RegisterDemon(MakeDelayedConstraintDemon0(
        solver(), this, &SmallMaxConstraint::MaxVarChanged, "MinVarChanged"));
    target_var_->WhenRange(mdemon);
  }

  void InitialPropagate() override {
    int64_t max_min = std::numeric_limits<int64_t>::min();
    int64_t max_max = std::numeric_limits<int64_t>::min();
    for (IntVar* const var : vars_) {
      max_min = std::max(max_min, var->Min());
      max_max = std::max(max_max, var->Max());
    }
    computed_min_.SetValue(solver(), max_min);
    computed_max_.SetValue(solver(), max_max);
    // Propagate to min_var.
    target_var_->SetRange(max_min, max_max);

    // Push down.
    MaxVarChanged();
  }

  std::string DebugString() const override {
    return absl::StrFormat("SmallMax(%s) == %s",
                           JoinDebugStringPtr(vars_, ", "),
                           target_var_->DebugString());
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kMaxEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            target_var_);
    visitor->EndVisitConstraint(ModelVisitor::kMaxEqual, this);
  }

 private:
  void VarChanged(IntVar* var) {
    const int64_t old_max = var->OldMax();
    const int64_t var_min = var->Min();
    const int64_t var_max = var->Max();
    if ((old_max == computed_max_.Value() && old_max != var_max) ||
        var_min > computed_min_.Value()) {  // REWRITE
      // Can influence the min var bounds.
      int64_t max_min = std::numeric_limits<int64_t>::min();
      int64_t max_max = std::numeric_limits<int64_t>::min();
      for (IntVar* const var : vars_) {
        max_min = std::max(max_min, var->Min());
        max_max = std::max(max_max, var->Max());
      }
      if (max_min > computed_min_.Value() || max_max < computed_max_.Value()) {
        computed_min_.SetValue(solver(), max_min);
        computed_max_.SetValue(solver(), max_max);
        target_var_->SetRange(computed_min_.Value(), computed_max_.Value());
      }
    }
    MaxVarChanged();
  }

  void MaxVarChanged() {
    const int64_t new_min = target_var_->Min();
    const int64_t new_max = target_var_->Max();
    // Nothing to do?
    if (new_min <= computed_min_.Value() && new_max >= computed_max_.Value()) {
      return;
    }

    IntVar* candidate = nullptr;
    int active = 0;

    if (new_min > computed_min_.Value()) {
      // Look if only one candidate to push the max down.
      for (IntVar* const var : vars_) {
        if (var->Max() >= new_min) {
          if (active++ >= 1) {
            break;
          }
          candidate = var;
        }
      }
      if (active == 0) {
        solver()->Fail();
      }
    }
    if (computed_max_.Value() > new_max) {
      if (active == 1) {
        candidate->SetRange(new_min, new_max);
      } else {
        for (IntVar* const var : vars_) {
          var->SetMax(new_max);
        }
      }
    } else if (active == 1) {
      candidate->SetMin(new_min);
    }
  }

  std::vector<IntVar*> vars_;
  IntVar* const target_var_;
  Rev<int64_t> computed_min_;
  Rev<int64_t> computed_max_;
};

// Boolean And and Ors

class ArrayBoolAndEq : public CastConstraint {
 public:
  ArrayBoolAndEq(Solver* const s, const std::vector<IntVar*>& vars,
                 IntVar* const target)
      : CastConstraint(s, target),
        vars_(vars),
        demons_(vars.size()),
        unbounded_(0) {}

  ~ArrayBoolAndEq() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      if (!vars_[i]->Bound()) {
        demons_[i] =
            MakeConstraintDemon1(solver(), this, &ArrayBoolAndEq::PropagateVar,
                                 "PropagateVar", vars_[i]);
        vars_[i]->WhenBound(demons_[i]);
      }
    }
    if (!target_var_->Bound()) {
      Demon* const target_demon = MakeConstraintDemon0(
          solver(), this, &ArrayBoolAndEq::PropagateTarget, "PropagateTarget");
      target_var_->WhenBound(target_demon);
    }
  }

  void InitialPropagate() override {
    target_var_->SetRange(0, 1);
    if (target_var_->Min() == 1) {
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetMin(1);
      }
    } else {
      int possible_zero = -1;
      int ones = 0;
      int unbounded = 0;
      for (int i = 0; i < vars_.size(); ++i) {
        if (!vars_[i]->Bound()) {
          unbounded++;
          possible_zero = i;
        } else if (vars_[i]->Max() == 0) {
          InhibitAll();
          target_var_->SetMax(0);
          return;
        } else {
          DCHECK_EQ(1, vars_[i]->Min());
          ones++;
        }
      }
      if (unbounded == 0) {
        target_var_->SetMin(1);
      } else if (target_var_->Max() == 0 && unbounded == 1) {
        CHECK_NE(-1, possible_zero);
        vars_[possible_zero]->SetMax(0);
      } else {
        unbounded_.SetValue(solver(), unbounded);
      }
    }
  }

  void PropagateVar(IntVar* var) {
    if (var->Min() == 1) {
      unbounded_.Decr(solver());
      if (unbounded_.Value() == 0 && !decided_.Switched()) {
        target_var_->SetMin(1);
        decided_.Switch(solver());
      } else if (target_var_->Max() == 0 && unbounded_.Value() == 1 &&
                 !decided_.Switched()) {
        ForceToZero();
      }
    } else {
      InhibitAll();
      target_var_->SetMax(0);
    }
  }

  void PropagateTarget() {
    if (target_var_->Min() == 1) {
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetMin(1);
      }
    } else {
      if (unbounded_.Value() == 1 && !decided_.Switched()) {
        ForceToZero();
      }
    }
  }

  std::string DebugString() const override {
    return absl::StrFormat("And(%s) == %s", JoinDebugStringPtr(vars_, ", "),
                           target_var_->DebugString());
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kMinEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            target_var_);
    visitor->EndVisitConstraint(ModelVisitor::kMinEqual, this);
  }

 private:
  void InhibitAll() {
    for (int i = 0; i < demons_.size(); ++i) {
      if (demons_[i] != nullptr) {
        demons_[i]->inhibit(solver());
      }
    }
  }

  void ForceToZero() {
    for (int i = 0; i < vars_.size(); ++i) {
      if (vars_[i]->Min() == 0) {
        vars_[i]->SetValue(0);
        decided_.Switch(solver());
        return;
      }
    }
    solver()->Fail();
  }

  const std::vector<IntVar*> vars_;
  std::vector<Demon*> demons_;
  NumericalRev<int> unbounded_;
  RevSwitch decided_;
};

class ArrayBoolOrEq : public CastConstraint {
 public:
  ArrayBoolOrEq(Solver* const s, const std::vector<IntVar*>& vars,
                IntVar* const target)
      : CastConstraint(s, target),
        vars_(vars),
        demons_(vars.size()),
        unbounded_(0) {}

  ~ArrayBoolOrEq() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      if (!vars_[i]->Bound()) {
        demons_[i] =
            MakeConstraintDemon1(solver(), this, &ArrayBoolOrEq::PropagateVar,
                                 "PropagateVar", vars_[i]);
        vars_[i]->WhenBound(demons_[i]);
      }
    }
    if (!target_var_->Bound()) {
      Demon* const target_demon = MakeConstraintDemon0(
          solver(), this, &ArrayBoolOrEq::PropagateTarget, "PropagateTarget");
      target_var_->WhenBound(target_demon);
    }
  }

  void InitialPropagate() override {
    target_var_->SetRange(0, 1);
    if (target_var_->Max() == 0) {
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetMax(0);
      }
    } else {
      int zeros = 0;
      int possible_one = -1;
      int unbounded = 0;
      for (int i = 0; i < vars_.size(); ++i) {
        if (!vars_[i]->Bound()) {
          unbounded++;
          possible_one = i;
        } else if (vars_[i]->Min() == 1) {
          InhibitAll();
          target_var_->SetMin(1);
          return;
        } else {
          DCHECK_EQ(0, vars_[i]->Max());
          zeros++;
        }
      }
      if (unbounded == 0) {
        target_var_->SetMax(0);
      } else if (target_var_->Min() == 1 && unbounded == 1) {
        CHECK_NE(-1, possible_one);
        vars_[possible_one]->SetMin(1);
      } else {
        unbounded_.SetValue(solver(), unbounded);
      }
    }
  }

  void PropagateVar(IntVar* var) {
    if (var->Min() == 0) {
      unbounded_.Decr(solver());
      if (unbounded_.Value() == 0 && !decided_.Switched()) {
        target_var_->SetMax(0);
        decided_.Switch(solver());
      }
      if (target_var_->Min() == 1 && unbounded_.Value() == 1 &&
          !decided_.Switched()) {
        ForceToOne();
      }
    } else {
      InhibitAll();
      target_var_->SetMin(1);
    }
  }

  void PropagateTarget() {
    if (target_var_->Max() == 0) {
      for (int i = 0; i < vars_.size(); ++i) {
        vars_[i]->SetMax(0);
      }
    } else {
      if (unbounded_.Value() == 1 && !decided_.Switched()) {
        ForceToOne();
      }
    }
  }

  std::string DebugString() const override {
    return absl::StrFormat("Or(%s) == %s", JoinDebugStringPtr(vars_, ", "),
                           target_var_->DebugString());
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kMaxEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            target_var_);
    visitor->EndVisitConstraint(ModelVisitor::kMaxEqual, this);
  }

 private:
  void InhibitAll() {
    for (int i = 0; i < demons_.size(); ++i) {
      if (demons_[i] != nullptr) {
        demons_[i]->inhibit(solver());
      }
    }
  }

  void ForceToOne() {
    for (int i = 0; i < vars_.size(); ++i) {
      if (vars_[i]->Max() == 1) {
        vars_[i]->SetValue(1);
        decided_.Switch(solver());
        return;
      }
    }
    solver()->Fail();
  }

  const std::vector<IntVar*> vars_;
  std::vector<Demon*> demons_;
  NumericalRev<int> unbounded_;
  RevSwitch decided_;
};

// ---------- Specialized cases ----------

class BaseSumBooleanConstraint : public Constraint {
 public:
  BaseSumBooleanConstraint(Solver* const s, const std::vector<IntVar*>& vars)
      : Constraint(s), vars_(vars) {}

  ~BaseSumBooleanConstraint() override {}

 protected:
  std::string DebugStringInternal(const std::string& name) const {
    return absl::StrFormat("%s(%s)", name, JoinDebugStringPtr(vars_, ", "));
  }

  const std::vector<IntVar*> vars_;
  RevSwitch inactive_;
};

// ----- Sum of Boolean <= 1 -----

class SumBooleanLessOrEqualToOne : public BaseSumBooleanConstraint {
 public:
  SumBooleanLessOrEqualToOne(Solver* const s, const std::vector<IntVar*>& vars)
      : BaseSumBooleanConstraint(s, vars) {}

  ~SumBooleanLessOrEqualToOne() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      if (!vars_[i]->Bound()) {
        Demon* u = MakeConstraintDemon1(solver(), this,
                                        &SumBooleanLessOrEqualToOne::Update,
                                        "Update", vars_[i]);
        vars_[i]->WhenBound(u);
      }
    }
  }

  void InitialPropagate() override {
    for (int i = 0; i < vars_.size(); ++i) {
      if (vars_[i]->Min() == 1) {
        PushAllToZeroExcept(vars_[i]);
        return;
      }
    }
  }

  void Update(IntVar* var) {
    if (!inactive_.Switched()) {
      DCHECK(var->Bound());
      if (var->Min() == 1) {
        PushAllToZeroExcept(var);
      }
    }
  }

  void PushAllToZeroExcept(IntVar* var) {
    inactive_.Switch(solver());
    for (int i = 0; i < vars_.size(); ++i) {
      IntVar* const other = vars_[i];
      if (other != var && other->Max() != 0) {
        other->SetMax(0);
      }
    }
  }

  std::string DebugString() const override {
    return DebugStringInternal("SumBooleanLessOrEqualToOne");
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kSumLessOrEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerArgument(ModelVisitor::kValueArgument, 1);
    visitor->EndVisitConstraint(ModelVisitor::kSumLessOrEqual, this);
  }
};

// ----- Sum of Boolean >= 1 -----

// We implement this one as a Max(array) == 1.

class SumBooleanGreaterOrEqualToOne : public BaseSumBooleanConstraint {
 public:
  SumBooleanGreaterOrEqualToOne(Solver* const s,
                                const std::vector<IntVar*>& vars);
  ~SumBooleanGreaterOrEqualToOne() override {}

  void Post() override;
  void InitialPropagate() override;

  void Update(int index);
  void UpdateVar();

  std::string DebugString() const override;

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kSumGreaterOrEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerArgument(ModelVisitor::kValueArgument, 1);
    visitor->EndVisitConstraint(ModelVisitor::kSumGreaterOrEqual, this);
  }

 private:
  RevBitSet bits_;
};

SumBooleanGreaterOrEqualToOne::SumBooleanGreaterOrEqualToOne(
    Solver* const s, const std::vector<IntVar*>& vars)
    : BaseSumBooleanConstraint(s, vars), bits_(vars.size()) {}

void SumBooleanGreaterOrEqualToOne::Post() {
  for (int i = 0; i < vars_.size(); ++i) {
    Demon* d = MakeConstraintDemon1(
        solver(), this, &SumBooleanGreaterOrEqualToOne::Update, "Update", i);
    vars_[i]->WhenRange(d);
  }
}

void SumBooleanGreaterOrEqualToOne::InitialPropagate() {
  for (int i = 0; i < vars_.size(); ++i) {
    IntVar* const var = vars_[i];
    if (var->Min() == 1LL) {
      inactive_.Switch(solver());
      return;
    }
    if (var->Max() == 1LL) {
      bits_.SetToOne(solver(), i);
    }
  }
  if (bits_.IsCardinalityZero()) {
    solver()->Fail();
  } else if (bits_.IsCardinalityOne()) {
    vars_[bits_.GetFirstBit(0)]->SetValue(int64_t{1});
    inactive_.Switch(solver());
  }
}

void SumBooleanGreaterOrEqualToOne::Update(int index) {
  if (!inactive_.Switched()) {
    if (vars_[index]->Min() == 1LL) {  // Bound to 1.
      inactive_.Switch(solver());
    } else {
      bits_.SetToZero(solver(), index);
      if (bits_.IsCardinalityZero()) {
        solver()->Fail();
      } else if (bits_.IsCardinalityOne()) {
        vars_[bits_.GetFirstBit(0)]->SetValue(int64_t{1});
        inactive_.Switch(solver());
      }
    }
  }
}

std::string SumBooleanGreaterOrEqualToOne::DebugString() const {
  return DebugStringInternal("SumBooleanGreaterOrEqualToOne");
}

// ----- Sum of Boolean == 1 -----

class SumBooleanEqualToOne : public BaseSumBooleanConstraint {
 public:
  SumBooleanEqualToOne(Solver* const s, const std::vector<IntVar*>& vars)
      : BaseSumBooleanConstraint(s, vars), active_vars_(0) {}

  ~SumBooleanEqualToOne() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      Demon* u = MakeConstraintDemon1(
          solver(), this, &SumBooleanEqualToOne::Update, "Update", i);
      vars_[i]->WhenBound(u);
    }
  }

  void InitialPropagate() override {
    int min1 = 0;
    int max1 = 0;
    int index_min = -1;
    int index_max = -1;
    for (int i = 0; i < vars_.size(); ++i) {
      const IntVar* const var = vars_[i];
      if (var->Min() == 1) {
        min1++;
        index_min = i;
      }
      if (var->Max() == 1) {
        max1++;
        index_max = i;
      }
    }
    if (min1 > 1 || max1 == 0) {
      solver()->Fail();
    } else if (min1 == 1) {
      DCHECK_NE(-1, index_min);
      PushAllToZeroExcept(index_min);
    } else if (max1 == 1) {
      DCHECK_NE(-1, index_max);
      vars_[index_max]->SetValue(1);
      inactive_.Switch(solver());
    } else {
      active_vars_.SetValue(solver(), max1);
    }
  }

  void Update(int index) {
    if (!inactive_.Switched()) {
      DCHECK(vars_[index]->Bound());
      const int64_t value = vars_[index]->Min();  // Faster than Value().
      if (value == 0) {
        active_vars_.Decr(solver());
        DCHECK_GE(active_vars_.Value(), 0);
        if (active_vars_.Value() == 0) {
          solver()->Fail();
        } else if (active_vars_.Value() == 1) {
          bool found = false;
          for (int i = 0; i < vars_.size(); ++i) {
            IntVar* const var = vars_[i];
            if (var->Max() == 1) {
              var->SetValue(1);
              PushAllToZeroExcept(i);
              found = true;
              break;
            }
          }
          if (!found) {
            solver()->Fail();
          }
        }
      } else {
        PushAllToZeroExcept(index);
      }
    }
  }

  void PushAllToZeroExcept(int index) {
    inactive_.Switch(solver());
    for (int i = 0; i < vars_.size(); ++i) {
      if (i != index && vars_[i]->Max() != 0) {
        vars_[i]->SetMax(0);
      }
    }
  }

  std::string DebugString() const override {
    return DebugStringInternal("SumBooleanEqualToOne");
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kSumEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerArgument(ModelVisitor::kValueArgument, 1);
    visitor->EndVisitConstraint(ModelVisitor::kSumEqual, this);
  }

 private:
  NumericalRev<int> active_vars_;
};

// ----- Sum of Boolean Equal To Var -----

class SumBooleanEqualToVar : public BaseSumBooleanConstraint {
 public:
  SumBooleanEqualToVar(Solver* const s, const std::vector<IntVar*>& bool_vars,
                       IntVar* const sum_var)
      : BaseSumBooleanConstraint(s, bool_vars),
        num_possible_true_vars_(0),
        num_always_true_vars_(0),
        sum_var_(sum_var) {}

  ~SumBooleanEqualToVar() override {}

  void Post() override {
    for (int i = 0; i < vars_.size(); ++i) {
      Demon* const u = MakeConstraintDemon1(
          solver(), this, &SumBooleanEqualToVar::Update, "Update", i);
      vars_[i]->WhenBound(u);
    }
    if (!sum_var_->Bound()) {
      Demon* const u = MakeConstraintDemon0(
          solver(), this, &SumBooleanEqualToVar::UpdateVar, "UpdateVar");
      sum_var_->WhenRange(u);
    }
  }

  void InitialPropagate() override {
    int num_always_true_vars = 0;
    int possible_true = 0;
    for (int i = 0; i < vars_.size(); ++i) {
      const IntVar* const var = vars_[i];
      if (var->Min() == 1) {
        num_always_true_vars++;
      }
      if (var->Max() == 1) {
        possible_true++;
      }
    }
    sum_var_->SetRange(num_always_true_vars, possible_true);
    const int64_t var_min = sum_var_->Min();
    const int64_t var_max = sum_var_->Max();
    if (num_always_true_vars == var_max && possible_true > var_max) {
      PushAllUnboundToZero();
    } else if (possible_true == var_min && num_always_true_vars < var_min) {
      PushAllUnboundToOne();
    } else {
      num_possible_true_vars_.SetValue(solver(), possible_true);
      num_always_true_vars_.SetValue(solver(), num_always_true_vars);
    }
  }

  void UpdateVar() {
    if (!inactive_.Switched()) {
      if (num_possible_true_vars_.Value() == sum_var_->Min()) {
        PushAllUnboundToOne();
        sum_var_->SetValue(num_possible_true_vars_.Value());
      } else if (num_always_true_vars_.Value() == sum_var_->Max()) {
        PushAllUnboundToZero();
        sum_var_->SetValue(num_always_true_vars_.Value());
      }
    }
  }

  void Update(int index) {
    if (!inactive_.Switched()) {
      DCHECK(vars_[index]->Bound());
      const int64_t value = vars_[index]->Min();  // Faster than Value().
      if (value == 0) {
        num_possible_true_vars_.Decr(solver());
        sum_var_->SetRange(num_always_true_vars_.Value(),
                           num_possible_true_vars_.Value());
        if (num_possible_true_vars_.Value() == sum_var_->Min()) {
          PushAllUnboundToOne();
        }
      } else {
        DCHECK_EQ(1, value);
        num_always_true_vars_.Incr(solver());
        sum_var_->SetRange(num_always_true_vars_.Value(),
                           num_possible_true_vars_.Value());
        if (num_always_true_vars_.Value() == sum_var_->Max()) {
          PushAllUnboundToZero();
        }
      }
    }
  }

  void PushAllUnboundToZero() {
    int64_t counter = 0;
    inactive_.Switch(solver());
    for (int i = 0; i < vars_.size(); ++i) {
      if (vars_[i]->Min() == 0) {
        vars_[i]->SetValue(0);
      } else {
        counter++;
      }
    }
    if (counter < sum_var_->Min() || counter > sum_var_->Max()) {
      solver()->Fail();
    }
  }

  void PushAllUnboundToOne() {
    int64_t counter = 0;
    inactive_.Switch(solver());
    for (int i = 0; i < vars_.size(); ++i) {
      if (vars_[i]->Max() == 1) {
        vars_[i]->SetValue(1);
        counter++;
      }
    }
    if (counter < sum_var_->Min() || counter > sum_var_->Max()) {
      solver()->Fail();
    }
  }

  std::string DebugString() const override {
    return absl::StrFormat("%s == %s", DebugStringInternal("SumBoolean"),
                           sum_var_->DebugString());
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kSumEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            sum_var_);
    visitor->EndVisitConstraint(ModelVisitor::kSumEqual, this);
  }

 private:
  NumericalRev<int> num_possible_true_vars_;
  NumericalRev<int> num_always_true_vars_;
  IntVar* const sum_var_;
};

// ---------- ScalProd ----------

// ----- Boolean Scal Prod -----

struct Container {
  IntVar* var;
  int64_t coef;
  Container(IntVar* v, int64_t c) : var(v), coef(c) {}
  bool operator<(const Container& c) const { return (coef < c.coef); }
};

// This method will sort both vars and coefficients in increasing
// coefficient order. Vars with null coefficients will be
// removed. Bound vars will be collected and the sum of the
// corresponding products (when the var is bound to 1) is returned by
// this method.
// If keep_inside is true, the constant will be added back into the
// scalprod as IntConst(1) * constant.
int64_t SortBothChangeConstant(std::vector<IntVar*>* const vars,
                               std::vector<int64_t>* const coefs,
                               bool keep_inside) {
  CHECK(vars != nullptr);
  CHECK(coefs != nullptr);
  if (vars->empty()) {
    return 0;
  }
  int64_t cst = 0;
  std::vector<Container> to_sort;
  for (int index = 0; index < vars->size(); ++index) {
    if ((*vars)[index]->Bound()) {
      cst = CapAdd(cst, CapProd((*coefs)[index], (*vars)[index]->Min()));
    } else if ((*coefs)[index] != 0) {
      to_sort.push_back(Container((*vars)[index], (*coefs)[index]));
    }
  }
  if (keep_inside && cst != 0) {
    CHECK_LT(to_sort.size(), vars->size());
    Solver* const solver = (*vars)[0]->solver();
    to_sort.push_back(Container(solver->MakeIntConst(1), cst));
    cst = 0;
  }
  std::sort(to_sort.begin(), to_sort.end());
  for (int index = 0; index < to_sort.size(); ++index) {
    (*vars)[index] = to_sort[index].var;
    (*coefs)[index] = to_sort[index].coef;
  }
  vars->resize(to_sort.size());
  coefs->resize(to_sort.size());
  return cst;
}

// This constraint implements sum(vars) == var.  It is delayed such
// that propagation only occurs when all variables have been touched.
class BooleanScalProdLessConstant : public Constraint {
 public:
  BooleanScalProdLessConstant(Solver* const s, const std::vector<IntVar*>& vars,
                              const std::vector<int64_t>& coefs,
                              int64_t upper_bound)
      : Constraint(s),
        vars_(vars),
        coefs_(coefs),
        upper_bound_(upper_bound),
        first_unbound_backward_(vars.size() - 1),
        sum_of_bound_variables_(0LL),
        max_coefficient_(0) {
    CHECK(!vars.empty());
    for (int i = 0; i < vars_.size(); ++i) {
      DCHECK_GE(coefs_[i], 0);
    }
    upper_bound_ =
        CapSub(upper_bound, SortBothChangeConstant(&vars_, &coefs_, false));
    max_coefficient_.SetValue(s, coefs_[vars_.size() - 1]);
  }

  ~BooleanScalProdLessConstant() override {}

  void Post() override {
    for (int var_index = 0; var_index < vars_.size(); ++var_index) {
      if (vars_[var_index]->Bound()) {
        continue;
      }
      Demon* d = MakeConstraintDemon1(solver(), this,
                                      &BooleanScalProdLessConstant::Update,
                                      "InitialPropagate", var_index);
      vars_[var_index]->WhenRange(d);
    }
  }

  void PushFromTop() {
    const int64_t slack = CapSub(upper_bound_, sum_of_bound_variables_.Value());
    if (slack < 0) {
      solver()->Fail();
    }
    if (slack < max_coefficient_.Value()) {
      int64_t last_unbound = first_unbound_backward_.Value();
      for (; last_unbound >= 0; --last_unbound) {
        if (!vars_[last_unbound]->Bound()) {
          if (coefs_[last_unbound] <= slack) {
            max_coefficient_.SetValue(solver(), coefs_[last_unbound]);
            break;
          } else {
            vars_[last_unbound]->SetValue(0);
          }
        }
      }
      first_unbound_backward_.SetValue(solver(), last_unbound);
    }
  }

  void InitialPropagate() override {
    Solver* const s = solver();
    int last_unbound = -1;
    int64_t sum = 0LL;
    for (int index = 0; index < vars_.size(); ++index) {
      if (vars_[index]->Bound()) {
        const int64_t value = vars_[index]->Min();
        sum = CapAdd(sum, CapProd(value, coefs_[index]));
      } else {
        last_unbound = index;
      }
    }
    sum_of_bound_variables_.SetValue(s, sum);
    first_unbound_backward_.SetValue(s, last_unbound);
    PushFromTop();
  }

  void Update(int var_index) {
    if (vars_[var_index]->Min() == 1) {
      sum_of_bound_variables_.SetValue(
          solver(), CapAdd(sum_of_bound_variables_.Value(), coefs_[var_index]));
      PushFromTop();
    }
  }

  std::string DebugString() const override {
    return absl::StrFormat("BooleanScalProd([%s], [%s]) <= %d)",
                           JoinDebugStringPtr(vars_, ", "),
                           absl::StrJoin(coefs_, ", "), upper_bound_);
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kScalProdLessOrEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerArrayArgument(ModelVisitor::kCoefficientsArgument,
                                       coefs_);
    visitor->VisitIntegerArgument(ModelVisitor::kValueArgument, upper_bound_);
    visitor->EndVisitConstraint(ModelVisitor::kScalProdLessOrEqual, this);
  }

 private:
  std::vector<IntVar*> vars_;
  std::vector<int64_t> coefs_;
  int64_t upper_bound_;
  Rev<int> first_unbound_backward_;
  Rev<int64_t> sum_of_bound_variables_;
  Rev<int64_t> max_coefficient_;
};

// ----- PositiveBooleanScalProdEqVar -----

class PositiveBooleanScalProdEqVar : public CastConstraint {
 public:
  PositiveBooleanScalProdEqVar(Solver* const s,
                               const std::vector<IntVar*>& vars,
                               const std::vector<int64_t>& coefs,
                               IntVar* const var)
      : CastConstraint(s, var),
        vars_(vars),
        coefs_(coefs),
        first_unbound_backward_(vars.size() - 1),
        sum_of_bound_variables_(0LL),
        sum_of_all_variables_(0LL),
        max_coefficient_(0) {
    SortBothChangeConstant(&vars_, &coefs_, true);
    max_coefficient_.SetValue(s, coefs_[vars_.size() - 1]);
  }

  ~PositiveBooleanScalProdEqVar() override {}

  void Post() override {
    for (int var_index = 0; var_index < vars_.size(); ++var_index) {
      if (vars_[var_index]->Bound()) {
        continue;
      }
      Demon* const d = MakeConstraintDemon1(
          solver(), this, &PositiveBooleanScalProdEqVar::Update, "Update",
          var_index);
      vars_[var_index]->WhenRange(d);
    }
    if (!target_var_->Bound()) {
      Demon* const uv = MakeConstraintDemon0(
          solver(), this, &PositiveBooleanScalProdEqVar::Propagate,
          "Propagate");
      target_var_->WhenRange(uv);
    }
  }

  void Propagate() {
    target_var_->SetRange(sum_of_bound_variables_.Value(),
                          sum_of_all_variables_.Value());
    const int64_t slack_up =
        CapSub(target_var_->Max(), sum_of_bound_variables_.Value());
    const int64_t slack_down =
        CapSub(sum_of_all_variables_.Value(), target_var_->Min());
    const int64_t max_coeff = max_coefficient_.Value();
    if (slack_down < max_coeff || slack_up < max_coeff) {
      int64_t last_unbound = first_unbound_backward_.Value();
      for (; last_unbound >= 0; --last_unbound) {
        if (!vars_[last_unbound]->Bound()) {
          if (coefs_[last_unbound] > slack_up) {
            vars_[last_unbound]->SetValue(0);
          } else if (coefs_[last_unbound] > slack_down) {
            vars_[last_unbound]->SetValue(1);
          } else {
            max_coefficient_.SetValue(solver(), coefs_[last_unbound]);
            break;
          }
        }
      }
      first_unbound_backward_.SetValue(solver(), last_unbound);
    }
  }

  void InitialPropagate() override {
    Solver* const s = solver();
    int last_unbound = -1;
    int64_t sum_bound = 0;
    int64_t sum_all = 0;
    for (int index = 0; index < vars_.size(); ++index) {
      const int64_t value = CapProd(vars_[index]->Max(), coefs_[index]);
      sum_all = CapAdd(sum_all, value);
      if (vars_[index]->Bound()) {
        sum_bound = CapAdd(sum_bound, value);
      } else {
        last_unbound = index;
      }
    }
    sum_of_bound_variables_.SetValue(s, sum_bound);
    sum_of_all_variables_.SetValue(s, sum_all);
    first_unbound_backward_.SetValue(s, last_unbound);
    Propagate();
  }

  void Update(int var_index) {
    if (vars_[var_index]->Min() == 1) {
      sum_of_bound_variables_.SetValue(
          solver(), CapAdd(sum_of_bound_variables_.Value(), coefs_[var_index]));
    } else {
      sum_of_all_variables_.SetValue(
          solver(), CapSub(sum_of_all_variables_.Value(), coefs_[var_index]));
    }
    Propagate();
  }

  std::string DebugString() const override {
    return absl::StrFormat("PositiveBooleanScal([%s], [%s]) == %s",
                           JoinDebugStringPtr(vars_, ", "),
                           absl::StrJoin(coefs_, ", "),
                           target_var_->DebugString());
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kScalProdEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerArrayArgument(ModelVisitor::kCoefficientsArgument,
                                       coefs_);
    visitor->VisitIntegerExpressionArgument(ModelVisitor::kTargetArgument,
                                            target_var_);
    visitor->EndVisitConstraint(ModelVisitor::kScalProdEqual, this);
  }

 private:
  std::vector<IntVar*> vars_;
  std::vector<int64_t> coefs_;
  Rev<int> first_unbound_backward_;
  Rev<int64_t> sum_of_bound_variables_;
  Rev<int64_t> sum_of_all_variables_;
  Rev<int64_t> max_coefficient_;
};

// ----- PositiveBooleanScalProd -----

class PositiveBooleanScalProd : public BaseIntExpr {
 public:
  // this constructor will copy the array. The caller can safely delete the
  // exprs array himself
  PositiveBooleanScalProd(Solver* const s, const std::vector<IntVar*>& vars,
                          const std::vector<int64_t>& coefs)
      : BaseIntExpr(s), vars_(vars), coefs_(coefs) {
    CHECK(!vars.empty());
    SortBothChangeConstant(&vars_, &coefs_, true);
    for (int i = 0; i < vars_.size(); ++i) {
      DCHECK_GE(coefs_[i], 0);
    }
  }

  ~PositiveBooleanScalProd() override {}

  int64_t Min() const override {
    int64_t min = 0;
    for (int i = 0; i < vars_.size(); ++i) {
      if (vars_[i]->Min()) {
        min = CapAdd(min, coefs_[i]);
      }
    }
    return min;
  }

  void SetMin(int64_t m) override {
    SetRange(m, std::numeric_limits<int64_t>::max());
  }

  int64_t Max() const override {
    int64_t max = 0;
    for (int i = 0; i < vars_.size(); ++i) {
      if (vars_[i]->Max()) {
        max = CapAdd(max, coefs_[i]);
      }
    }
    return max;
  }

  void SetMax(int64_t m) override {
    SetRange(std::numeric_limits<int64_t>::min(), m);
  }

  void SetRange(int64_t l, int64_t u) override {
    int64_t current_min = 0;
    int64_t current_max = 0;
    int64_t diameter = -1;
    for (int i = 0; i < vars_.size(); ++i) {
      const int64_t coefficient = coefs_[i];
      const int64_t var_min = CapProd(vars_[i]->Min(), coefficient);
      const int64_t var_max = CapProd(vars_[i]->Max(), coefficient);
      current_min = CapAdd(current_min, var_min);
      current_max = CapAdd(current_max, var_max);
      if (var_min != var_max) {  // Coefficients are increasing.
        diameter = CapSub(var_max, var_min);
      }
    }
    if (u >= current_max && l <= current_min) {
      return;
    }
    if (u < current_min || l > current_max) {
      solver()->Fail();
    }

    u = std::min(current_max, u);
    l = std::max(l, current_min);

    if (CapSub(u, l) > diameter) {
      return;
    }

    for (int i = 0; i < vars_.size(); ++i) {
      const int64_t coefficient = coefs_[i];
      IntVar* const var = vars_[i];
      const int64_t new_min =
          CapAdd(CapSub(l, current_max), CapProd(var->Max(), coefficient));
      const int64_t new_max =
          CapAdd(CapSub(u, current_min), CapProd(var->Min(), coefficient));
      if (new_max < 0 || new_min > coefficient || new_min > new_max) {
        solver()->Fail();
      }
      if (new_min > 0LL) {
        var->SetMin(int64_t{1});
      } else if (new_max < coefficient) {
        var->SetMax(int64_t{0});
      }
    }
  }

  std::string DebugString() const override {
    return absl::StrFormat("PositiveBooleanScalProd([%s], [%s])",
                           JoinDebugStringPtr(vars_, ", "),
                           absl::StrJoin(coefs_, ", "));
  }

  void WhenRange(Demon* d) override {
    for (int i = 0; i < vars_.size(); ++i) {
      vars_[i]->WhenRange(d);
    }
  }
  IntVar* CastToVar() override {
    Solver* const s = solver();
    int64_t vmin = 0LL;
    int64_t vmax = 0LL;
    Range(&vmin, &vmax);
    IntVar* const var = solver()->MakeIntVar(vmin, vmax);
    if (!vars_.empty()) {
      CastConstraint* const ct =
          s->RevAlloc(new PositiveBooleanScalProdEqVar(s, vars_, coefs_, var));
      s->AddCastConstraint(ct, var, this);
    }
    return var;
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitIntegerExpression(ModelVisitor::kScalProd, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerArrayArgument(ModelVisitor::kCoefficientsArgument,
                                       coefs_);
    visitor->EndVisitIntegerExpression(ModelVisitor::kScalProd, this);
  }

 private:
  std::vector<IntVar*> vars_;
  std::vector<int64_t> coefs_;
};

// ----- PositiveBooleanScalProdEqCst ----- (all constants >= 0)

class PositiveBooleanScalProdEqCst : public Constraint {
 public:
  PositiveBooleanScalProdEqCst(Solver* const s,
                               const std::vector<IntVar*>& vars,
                               const std::vector<int64_t>& coefs,
                               int64_t constant)
      : Constraint(s),
        vars_(vars),
        coefs_(coefs),
        first_unbound_backward_(vars.size() - 1),
        sum_of_bound_variables_(0LL),
        sum_of_all_variables_(0LL),
        constant_(constant),
        max_coefficient_(0) {
    CHECK(!vars.empty());
    constant_ =
        CapSub(constant_, SortBothChangeConstant(&vars_, &coefs_, false));
    max_coefficient_.SetValue(s, coefs_[vars_.size() - 1]);
  }

  ~PositiveBooleanScalProdEqCst() override {}

  void Post() override {
    for (int var_index = 0; var_index < vars_.size(); ++var_index) {
      if (!vars_[var_index]->Bound()) {
        Demon* const d = MakeConstraintDemon1(
            solver(), this, &PositiveBooleanScalProdEqCst::Update, "Update",
            var_index);
        vars_[var_index]->WhenRange(d);
      }
    }
  }

  void Propagate() {
    if (sum_of_bound_variables_.Value() > constant_ ||
        sum_of_all_variables_.Value() < constant_) {
      solver()->Fail();
    }
    const int64_t slack_up = CapSub(constant_, sum_of_bound_variables_.Value());
    const int64_t slack_down = CapSub(sum_of_all_variables_.Value(), constant_);
    const int64_t max_coeff = max_coefficient_.Value();
    if (slack_down < max_coeff || slack_up < max_coeff) {
      int64_t last_unbound = first_unbound_backward_.Value();
      for (; last_unbound >= 0; --last_unbound) {
        if (!vars_[last_unbound]->Bound()) {
          if (coefs_[last_unbound] > slack_up) {
            vars_[last_unbound]->SetValue(0);
          } else if (coefs_[last_unbound] > slack_down) {
            vars_[last_unbound]->SetValue(1);
          } else {
            max_coefficient_.SetValue(solver(), coefs_[last_unbound]);
            break;
          }
        }
      }
      first_unbound_backward_.SetValue(solver(), last_unbound);
    }
  }

  void InitialPropagate() override {
    Solver* const s = solver();
    int last_unbound = -1;
    int64_t sum_bound = 0LL;
    int64_t sum_all = 0LL;
    for (int index = 0; index < vars_.size(); ++index) {
      const int64_t value = CapProd(vars_[index]->Max(), coefs_[index]);
      sum_all = CapAdd(sum_all, value);
      if (vars_[index]->Bound()) {
        sum_bound = CapAdd(sum_bound, value);
      } else {
        last_unbound = index;
      }
    }
    sum_of_bound_variables_.SetValue(s, sum_bound);
    sum_of_all_variables_.SetValue(s, sum_all);
    first_unbound_backward_.SetValue(s, last_unbound);
    Propagate();
  }

  void Update(int var_index) {
    if (vars_[var_index]->Min() == 1) {
      sum_of_bound_variables_.SetValue(
          solver(), CapAdd(sum_of_bound_variables_.Value(), coefs_[var_index]));
    } else {
      sum_of_all_variables_.SetValue(
          solver(), CapSub(sum_of_all_variables_.Value(), coefs_[var_index]));
    }
    Propagate();
  }

  std::string DebugString() const override {
    return absl::StrFormat("PositiveBooleanScalProd([%s], [%s]) == %d",
                           JoinDebugStringPtr(vars_, ", "),
                           absl::StrJoin(coefs_, ", "), constant_);
  }

  void Accept(ModelVisitor* const visitor) const override {
    visitor->BeginVisitConstraint(ModelVisitor::kScalProdEqual, this);
    visitor->VisitIntegerVariableArrayArgument(ModelVisitor::kVarsArgument,
                                               vars_);
    visitor->VisitIntegerArrayArgument(ModelVisitor::kCoefficientsArgument,
                                       coefs_);
    visitor->VisitIntegerArgument(ModelVisitor::kValueArgument, constant_);
    visitor->EndVisitConstraint(ModelVisitor::kScalProdEqual, this);
  }

 private:
  std::vector<IntVar*> vars_;
  std::vector<int64_t> coefs_;
  Rev<int> first_unbound_backward_;
  Rev<int64_t> sum_of_bound_variables_;
  Rev<int64_t> sum_of_all_variables_;
  int64_t constant_;
  Rev<int64_t> max_coefficient_;
};

// ----- Linearizer -----

#define IS_TYPE(type, tag) type.compare(ModelVisitor::tag) == 0

class ExprLinearizer : public ModelParser {
 public:
  explicit ExprLinearizer(
      absl::flat_hash_map<IntVar*, int64_t>* const variables_to_coefficients)
      : variables_to_coefficients_(variables_to_coefficients), constant_(0) {}

  ~ExprLinearizer() override {}

  // Begin/End visit element.
  void BeginVisitModel(const std::string& solver_name) override {
    LOG(FATAL) << "Should not be here";
  }

  void EndVisitModel(const std::string& solver_name) override {
    LOG(FATAL) << "Should not be here";
  }

  void BeginVisitConstraint(const std::string& type_name,
                            const Constraint* const constraint) override {
    LOG(FATAL) << "Should not be here";
  }

  void EndVisitConstraint(const std::string& type_name,
                          const Constraint* const constraint) override {
    LOG(FATAL) << "Should not be here";
  }

  void BeginVisitExtension(const std::string& type) override {}

  void EndVisitExtension(const std::string& type) override {}
  void BeginVisitIntegerExpression(const std::string& type_name,
                                   const IntExpr* const expr) override {
    BeginVisit(true);
  }

  void EndVisitIntegerExpression(const std::string& type_name,
                                 const IntExpr* const expr) override {
    if (IS_TYPE(type_name, kSum)) {
      VisitSum(expr);
    } else if (IS_TYPE(type_name, kScalProd)) {
      VisitScalProd(expr);
    } else if (IS_TYPE(type_name, kDifference)) {
      VisitDifference(expr);
    } else if (IS_TYPE(type_name, kOpposite)) {
      VisitOpposite(expr);
    } else if (IS_TYPE(type_name, kProduct)) {
      VisitProduct(expr);
    } else if (IS_TYPE(type_name, kTrace)) {
      VisitTrace(expr);
    } else {
      VisitIntegerExpression(expr);
    }
    EndVisit();
  }

  void VisitIntegerVariable(const IntVar* const variable,
                            const std::string& operation, int64_t value,
                            IntVar* const delegate) override {
    if (operation == ModelVisitor::kSumOperation) {
      AddConstant(value);
      VisitSubExpression(delegate);
    } else if (operation == ModelVisitor::kDifferenceOperation) {
      AddConstant(value);
      PushMultiplier(-1);
      VisitSubExpression(delegate);
      PopMultiplier();
    } else if (operation == ModelVisitor::kProductOperation) {
      PushMultiplier(value);
      VisitSubExpression(delegate);
      PopMultiplier();
    } else if (operation == ModelVisitor::kTraceOperation) {
      VisitSubExpression(delegate);
    }
  }

  void VisitIntegerVariable(const IntVar* const variable,
                            IntExpr* const delegate) override {
    if (delegate != nullptr) {
      VisitSubExpression(delegate);
    } else {
      if (variable->Bound()) {
        AddConstant(variable->Min());
      } else {
        RegisterExpression(variable, 1);
      }
    }
  }

  // Visit integer arguments.
  void VisitIntegerArgument(const std::string& arg_name,
                            int64_t value) override {
    Top()->SetIntegerArgument(arg_name, value);
  }

  void VisitIntegerArrayArgument(const std::string& arg_name,
                                 const std::vector<int64_t>& values) override {
    Top()->SetIntegerArrayArgument(arg_name, values);
  }

  void VisitIntegerMatrixArgument(const std::string& arg_name,
                                  const IntTupleSet& values) override {
    Top()->SetIntegerMatrixArgument(arg_name, values);
  }

  // Visit integer expression argument.
  void VisitIntegerExpressionArgument(const std::string& arg_name,
                                      IntExpr* const argument) override {
    Top()->SetIntegerExpressionArgument(arg_name, argument);
  }

  void VisitIntegerVariableArrayArgument(
      const std::string& arg_name,
      const std::vector<IntVar*>& arguments) override {
    Top()->SetIntegerVariableArrayArgument(arg_name, arguments);
  }

  // Visit interval argument.
  void VisitIntervalArgument(const std::string& arg_name,
                             IntervalVar* const argument) override {}

  void VisitIntervalArrayArgument(
      const std::string& arg_name,
      const std::vector<IntervalVar*>& argument) override {}

  void Visit(const IntExpr* const expr, int64_t multiplier) {
    if (expr->Min() == expr->Max()) {
      constant_ = CapAdd(constant_, CapProd(expr->Min(), multiplier));
    } else {
      PushMultiplier(multiplier);
      expr->Accept(this);
      PopMultiplier();
    }
  }

  int64_t Constant() const { return constant_; }

  std::string DebugString() const override { return "ExprLinearizer"; }

 private:
  void BeginVisit(bool active) { PushArgumentHolder(); }

  void EndVisit() { PopArgumentHolder(); }

  void VisitSubExpression(const IntExpr* const cp_expr) {
    cp_expr->Accept(this);
  }

  void VisitSum(const IntExpr* const cp_expr) {
    if (Top()->HasIntegerVariableArrayArgument(ModelVisitor::kVarsArgument)) {
      const std::vector<IntVar*>& cp_vars =
          Top()->FindIntegerVariableArrayArgumentOrDie(
              ModelVisitor::kVarsArgument);
      for (int i = 0; i < cp_vars.size(); ++i) {
        VisitSubExpression(cp_vars[i]);
      }
    } else if (Top()->HasIntegerExpressionArgument(
                   ModelVisitor::kLeftArgument)) {
      const IntExpr* const left = Top()->FindIntegerExpressionArgumentOrDie(
          ModelVisitor::kLeftArgument);
      const IntExpr* const right = Top()->FindIntegerExpressionArgumentOrDie(
          ModelVisitor::kRightArgument);
      VisitSubExpression(left);
      VisitSubExpression(right);
    } else {
      const IntExpr* const expr = Top()->FindIntegerExpressionArgumentOrDie(
          ModelVisitor::kExpressionArgument);
      const int64_t value =
          Top()->FindIntegerArgumentOrDie(ModelVisitor::kValueArgument);
      VisitSubExpression(expr);
      AddConstant(value);
    }
  }

  void VisitScalProd(const IntExpr* const cp_expr) {
    const std::vector<IntVar*>& cp_vars =
        Top()->FindIntegerVariableArrayArgumentOrDie(
            ModelVisitor::kVarsArgument);
    const std::vector<int64_t>& cp_coefficients =
        Top()->FindIntegerArrayArgumentOrDie(
            ModelVisitor::kCoefficientsArgument);
    CHECK_EQ(cp_vars.size(), cp_coefficients.size());
    for (int i = 0; i < cp_vars.size(); ++i) {
      const int64_t coefficient = cp_coefficients[i];
      PushMultiplier(coefficient);
      VisitSubExpression(cp_vars[i]);
      PopMultiplier();
    }
  }

  void VisitDifference(const IntExpr* const cp_expr) {
    if (Top()->HasIntegerExpressionArgument(ModelVisitor::kLeftArgument)) {
      const IntExpr* const left = Top()->FindIntegerExpressionArgumentOrDie(
          ModelVisitor::kLeftArgument);
      const IntExpr* const right = Top()->FindIntegerExpressionArgumentOrDie(
          ModelVisitor::kRightArgument);
      VisitSubExpression(left);
      PushMultiplier(-1);
      VisitSubExpression(right);
      PopMultiplier();
    } else {
      const IntExpr* const expr = Top()->FindIntegerExpressionArgumentOrDie(
          ModelVisitor::kExpressionArgument);
      const int64_t value =
          Top()->FindIntegerArgumentOrDie(ModelVisitor::kValueArgument);
      AddConstant(value);
      PushMultiplier(-1);
      VisitSubExpression(expr);
      PopMultiplier();
    }
  }

  void VisitOpposite(const IntExpr* const cp_expr) {
    const IntExpr* const expr = Top()->FindIntegerExpressionArgumentOrDie(
        ModelVisitor::kExpressionArgument);
    PushMultiplier(-1);
    VisitSubExpression(expr);
    PopMultiplier();
  }

  void VisitProduct(const IntExpr* const cp_expr) {
    if (Top()->HasIntegerExpressionArgument(
            ModelVisitor::kExpressionArgument)) {
      const IntExpr* const expr = Top()->FindIntegerExpressionArgumentOrDie(
          ModelVisitor::kExpressionArgument);
      const int64_t value =
          Top()->FindIntegerArgumentOrDie(ModelVisitor::kValueArgument);
      PushMultiplier(value);
      VisitSubExpression(expr);
      PopMultiplier();
    } else {
      RegisterExpression(cp_expr, 1);
    }
  }

  void VisitTrace(const IntExpr* const cp_expr) {
    const IntExpr* const expr = Top()->FindIntegerExpressionArgumentOrDie(
        ModelVisitor::kExpressionArgument);
    VisitSubExpression(expr);
  }

  void VisitIntegerExpression(const IntExpr* const cp_expr) {
    RegisterExpression(cp_expr, 1);
  }

  void RegisterExpression(const IntExpr* const expr, int64_t coef) {
    int64_t& value =
        (*variables_to_coefficients_)[const_cast<IntExpr*>(expr)->Var()];
    value = CapAdd(value, CapProd(coef, multipliers_.back()));
  }

  void AddConstant(int64_t constant) {
    constant_ = CapAdd(constant_, CapProd(constant, multipliers_.back()));
  }

  void PushMultiplier(int64_t multiplier) {
    if (multipliers_.empty()) {
      multipliers_.push_back(multiplier);
    } else {
      multipliers_.push_back(CapProd(multiplier, multipliers_.back()));
    }
  }

  void PopMultiplier() { multipliers_.pop_back(); }

  // We do need a IntVar* as key, and not const IntVar*, because clients of this
  // class typically iterate over the map keys and use them as mutable IntVar*.
  absl::flat_hash_map<IntVar*, int64_t>* const variables_to_coefficients_;
  std::vector<int64_t> multipliers_;
  int64_t constant_;
};
#undef IS_TYPE

// ----- Factory functions -----

void DeepLinearize(Solver* const solver, const std::vector<IntVar*>& pre_vars,
                   const std::vector<int64_t>& pre_coefs,
                   std::vector<IntVar*>* vars, std::vector<int64_t>* coefs,
                   int64_t* constant) {
  CHECK(solver != nullptr);
  CHECK(vars != nullptr);
  CHECK(coefs != nullptr);
  CHECK(constant != nullptr);
  *constant = 0;
  vars->reserve(pre_vars.size());
  coefs->reserve(pre_coefs.size());
  // Try linear scan of the variables to check if there is nothing to do.
  bool need_linearization = false;
  for (int i = 0; i < pre_vars.size(); ++i) {
    IntVar* const variable = pre_vars[i];
    const int64_t coefficient = pre_coefs[i];
    if (variable->Bound()) {
      *constant = CapAdd(*constant, CapProd(coefficient, variable->Min()));
    } else if (solver->CastExpression(variable) == nullptr) {
      vars->push_back(variable);
      coefs->push_back(coefficient);
    } else {
      need_linearization = true;
      vars->clear();
      coefs->clear();
      break;
    }
  }
  if (need_linearization) {
    // Instrospect the variables to simplify the sum.
    absl::flat_hash_map<IntVar*, int64_t> variables_to_coefficients;
    ExprLinearizer linearizer(&variables_to_coefficients);
    for (int i = 0; i < pre_vars.size(); ++i) {
      linearizer.Visit(pre_vars[i], pre_coefs[i]);
    }
    *constant = linearizer.Constant();
    for (const auto& variable_to_coefficient : variables_to_coefficients) {
      if (variable_to_coefficient.second != 0) {
        vars->push_back(variable_to_coefficient.first);
        coefs->push_back(variable_to_coefficient.second);
      }
    }
  }
}

Constraint* MakeScalProdEqualityFct(Solver* const solver,
                                    const std::vector<IntVar*>& pre_vars,
                                    const std::vector<int64_t>& pre_coefs,
                                    int64_t cst) {
  int64_t constant = 0;
  std::vector<IntVar*> vars;
  std::vector<int64_t> coefs;
  DeepLinearize(solver, pre_vars, pre_coefs, &vars, &coefs, &constant);
  cst = CapSub(cst, constant);

  const int size = vars.size();
  if (size == 0 || AreAllNull(coefs)) {
    return cst == 0 ? solver->MakeTrueConstraint()
                    : solver->MakeFalseConstraint();
  }
  if (AreAllBoundOrNull(vars, coefs)) {
    int64_t sum = 0;
    for (int i = 0; i < size; ++i) {
      sum = CapAdd(sum, CapProd(coefs[i], vars[i]->Min()));
    }
    return sum == cst ? solver->MakeTrueConstraint()
                      : solver->MakeFalseConstraint();
  }
  if (AreAllOnes(coefs)) {
    return solver->MakeSumEquality(vars, cst);
  }
  if (AreAllBooleans(vars) && size > 2) {
    if (AreAllPositive(coefs)) {
      return solver->RevAlloc(
          new PositiveBooleanScalProdEqCst(solver, vars, coefs, cst));
    }
    if (AreAllNegative(coefs)) {
      std::vector<int64_t> opp_coefs(coefs.size());
      for (int i = 0; i < coefs.size(); ++i) {
        opp_coefs[i] = -coefs[i];
      }
      return solver->RevAlloc(
          new PositiveBooleanScalProdEqCst(solver, vars, opp_coefs, -cst));
    }
  }

  // Simplications.
  int constants = 0;
  int positives = 0;
  int negatives = 0;
  for (int i = 0; i < size; ++i) {
    if (coefs[i] == 0 || vars[i]->Bound()) {
      constants++;
    } else if (coefs[i] > 0) {
      positives++;
    } else {
      negatives++;
    }
  }
  if (positives > 0 && negatives > 0) {
    std::vector<IntVar*> pos_terms;
    std::vector<IntVar*> neg_terms;
    int64_t rhs = cst;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        pos_terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
      } else {
        neg_terms.push_back(solver->MakeProd(vars[i], -coefs[i])->Var());
      }
    }
    if (negatives == 1) {
      if (rhs != 0) {
        pos_terms.push_back(solver->MakeIntConst(-rhs));
      }
      return solver->MakeSumEquality(pos_terms, neg_terms[0]);
    } else if (positives == 1) {
      if (rhs != 0) {
        neg_terms.push_back(solver->MakeIntConst(rhs));
      }
      return solver->MakeSumEquality(neg_terms, pos_terms[0]);
    } else {
      if (rhs != 0) {
        neg_terms.push_back(solver->MakeIntConst(rhs));
      }
      return solver->MakeEquality(solver->MakeSum(pos_terms),
                                  solver->MakeSum(neg_terms));
    }
  } else if (positives == 1) {
    IntExpr* pos_term = nullptr;
    int64_t rhs = cst;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        pos_term = solver->MakeProd(vars[i], coefs[i]);
      } else {
        LOG(FATAL) << "Should not be here";
      }
    }
    return solver->MakeEquality(pos_term, rhs);
  } else if (negatives == 1) {
    IntExpr* neg_term = nullptr;
    int64_t rhs = cst;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        LOG(FATAL) << "Should not be here";
      } else {
        neg_term = solver->MakeProd(vars[i], -coefs[i]);
      }
    }
    return solver->MakeEquality(neg_term, -rhs);
  } else if (positives > 1) {
    std::vector<IntVar*> pos_terms;
    int64_t rhs = cst;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        pos_terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
      } else {
        LOG(FATAL) << "Should not be here";
      }
    }
    return solver->MakeSumEquality(pos_terms, rhs);
  } else if (negatives > 1) {
    std::vector<IntVar*> neg_terms;
    int64_t rhs = cst;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        LOG(FATAL) << "Should not be here";
      } else {
        neg_terms.push_back(solver->MakeProd(vars[i], -coefs[i])->Var());
      }
    }
    return solver->MakeSumEquality(neg_terms, -rhs);
  }
  std::vector<IntVar*> terms;
  for (int i = 0; i < size; ++i) {
    terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
  }
  return solver->MakeSumEquality(terms, solver->MakeIntConst(cst));
}

Constraint* MakeScalProdEqualityVarFct(Solver* const solver,
                                       const std::vector<IntVar*>& pre_vars,
                                       const std::vector<int64_t>& pre_coefs,
                                       IntVar* const target) {
  int64_t constant = 0;
  std::vector<IntVar*> vars;
  std::vector<int64_t> coefs;
  DeepLinearize(solver, pre_vars, pre_coefs, &vars, &coefs, &constant);

  const int size = vars.size();
  if (size == 0 || AreAllNull<int64_t>(coefs)) {
    return solver->MakeEquality(target, constant);
  }
  if (AreAllOnes(coefs)) {
    return solver->MakeSumEquality(vars,
                                   solver->MakeSum(target, -constant)->Var());
  }
  if (AreAllBooleans(vars) && AreAllPositive<int64_t>(coefs)) {
    // TODO(user) : bench BooleanScalProdEqVar with IntConst.
    return solver->RevAlloc(new PositiveBooleanScalProdEqVar(
        solver, vars, coefs, solver->MakeSum(target, -constant)->Var()));
  }
  std::vector<IntVar*> terms;
  for (int i = 0; i < size; ++i) {
    terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
  }
  return solver->MakeSumEquality(terms,
                                 solver->MakeSum(target, -constant)->Var());
}

Constraint* MakeScalProdGreaterOrEqualFct(Solver* solver,
                                          const std::vector<IntVar*>& pre_vars,
                                          const std::vector<int64_t>& pre_coefs,
                                          int64_t cst) {
  int64_t constant = 0;
  std::vector<IntVar*> vars;
  std::vector<int64_t> coefs;
  DeepLinearize(solver, pre_vars, pre_coefs, &vars, &coefs, &constant);
  cst = CapSub(cst, constant);

  const int size = vars.size();
  if (size == 0 || AreAllNull<int64_t>(coefs)) {
    return cst <= 0 ? solver->MakeTrueConstraint()
                    : solver->MakeFalseConstraint();
  }
  if (AreAllOnes(coefs)) {
    return solver->MakeSumGreaterOrEqual(vars, cst);
  }
  if (cst == 1 && AreAllBooleans(vars) && AreAllPositive(coefs)) {
    // can move all coefs to 1.
    std::vector<IntVar*> terms;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] > 0) {
        terms.push_back(vars[i]);
      }
    }
    return solver->MakeSumGreaterOrEqual(terms, 1);
  }
  std::vector<IntVar*> terms;
  for (int i = 0; i < size; ++i) {
    terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
  }
  return solver->MakeSumGreaterOrEqual(terms, cst);
}

Constraint* MakeScalProdLessOrEqualFct(Solver* solver,
                                       const std::vector<IntVar*>& pre_vars,
                                       const std::vector<int64_t>& pre_coefs,
                                       int64_t upper_bound) {
  int64_t constant = 0;
  std::vector<IntVar*> vars;
  std::vector<int64_t> coefs;
  DeepLinearize(solver, pre_vars, pre_coefs, &vars, &coefs, &constant);
  upper_bound = CapSub(upper_bound, constant);

  const int size = vars.size();
  if (size == 0 || AreAllNull<int64_t>(coefs)) {
    return upper_bound >= 0 ? solver->MakeTrueConstraint()
                            : solver->MakeFalseConstraint();
  }
  // TODO(user) : compute constant on the fly.
  if (AreAllBoundOrNull(vars, coefs)) {
    int64_t cst = 0;
    for (int i = 0; i < size; ++i) {
      cst = CapAdd(cst, CapProd(vars[i]->Min(), coefs[i]));
    }
    return cst <= upper_bound ? solver->MakeTrueConstraint()
                              : solver->MakeFalseConstraint();
  }
  if (AreAllOnes(coefs)) {
    return solver->MakeSumLessOrEqual(vars, upper_bound);
  }
  if (AreAllBooleans(vars) && AreAllPositive<int64_t>(coefs)) {
    return solver->RevAlloc(
        new BooleanScalProdLessConstant(solver, vars, coefs, upper_bound));
  }
  // Some simplications
  int constants = 0;
  int positives = 0;
  int negatives = 0;
  for (int i = 0; i < size; ++i) {
    if (coefs[i] == 0 || vars[i]->Bound()) {
      constants++;
    } else if (coefs[i] > 0) {
      positives++;
    } else {
      negatives++;
    }
  }
  if (positives > 0 && negatives > 0) {
    std::vector<IntVar*> pos_terms;
    std::vector<IntVar*> neg_terms;
    int64_t rhs = upper_bound;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        pos_terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
      } else {
        neg_terms.push_back(solver->MakeProd(vars[i], -coefs[i])->Var());
      }
    }
    if (negatives == 1) {
      IntExpr* const neg_term = solver->MakeSum(neg_terms[0], rhs);
      return solver->MakeLessOrEqual(solver->MakeSum(pos_terms), neg_term);
    } else if (positives == 1) {
      IntExpr* const pos_term = solver->MakeSum(pos_terms[0], -rhs);
      return solver->MakeGreaterOrEqual(solver->MakeSum(neg_terms), pos_term);
    } else {
      if (rhs != 0) {
        neg_terms.push_back(solver->MakeIntConst(rhs));
      }
      return solver->MakeLessOrEqual(solver->MakeSum(pos_terms),
                                     solver->MakeSum(neg_terms));
    }
  } else if (positives == 1) {
    IntExpr* pos_term = nullptr;
    int64_t rhs = upper_bound;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        pos_term = solver->MakeProd(vars[i], coefs[i]);
      } else {
        LOG(FATAL) << "Should not be here";
      }
    }
    return solver->MakeLessOrEqual(pos_term, rhs);
  } else if (negatives == 1) {
    IntExpr* neg_term = nullptr;
    int64_t rhs = upper_bound;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        LOG(FATAL) << "Should not be here";
      } else {
        neg_term = solver->MakeProd(vars[i], -coefs[i]);
      }
    }
    return solver->MakeGreaterOrEqual(neg_term, -rhs);
  } else if (positives > 1) {
    std::vector<IntVar*> pos_terms;
    int64_t rhs = upper_bound;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        pos_terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
      } else {
        LOG(FATAL) << "Should not be here";
      }
    }
    return solver->MakeSumLessOrEqual(pos_terms, rhs);
  } else if (negatives > 1) {
    std::vector<IntVar*> neg_terms;
    int64_t rhs = upper_bound;
    for (int i = 0; i < size; ++i) {
      if (coefs[i] == 0 || vars[i]->Bound()) {
        rhs = CapSub(rhs, CapProd(coefs[i], vars[i]->Min()));
      } else if (coefs[i] > 0) {
        LOG(FATAL) << "Should not be here";
      } else {
        neg_terms.push_back(solver->MakeProd(vars[i], -coefs[i])->Var());
      }
    }
    return solver->MakeSumGreaterOrEqual(neg_terms, -rhs);
  }
  std::vector<IntVar*> terms;
  for (int i = 0; i < size; ++i) {
    terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
  }
  return solver->MakeLessOrEqual(solver->MakeSum(terms), upper_bound);
}

IntExpr* MakeSumArrayAux(Solver* const solver, const std::vector<IntVar*>& vars,
                         int64_t constant) {
  const int size = vars.size();
  DCHECK_GT(size, 2);
  int64_t new_min = 0;
  int64_t new_max = 0;
  for (int i = 0; i < size; ++i) {
    if (new_min != std::numeric_limits<int64_t>::min()) {
      new_min = CapAdd(vars[i]->Min(), new_min);
    }
    if (new_max != std::numeric_limits<int64_t>::max()) {
      new_max = CapAdd(vars[i]->Max(), new_max);
    }
  }
  IntExpr* const cache =
      solver->Cache()->FindVarArrayExpression(vars, ModelCache::VAR_ARRAY_SUM);
  if (cache != nullptr) {
    return solver->MakeSum(cache, constant);
  } else {
    const std::string name =
        absl::StrFormat("Sum([%s])", JoinNamePtr(vars, ", "));
    IntVar* const sum_var = solver->MakeIntVar(new_min, new_max, name);
    if (AreAllBooleans(vars)) {
      solver->AddConstraint(
          solver->RevAlloc(new SumBooleanEqualToVar(solver, vars, sum_var)));
    } else if (size <= solver->parameters().array_split_size()) {
      solver->AddConstraint(
          solver->RevAlloc(new SmallSumConstraint(solver, vars, sum_var)));
    } else {
      solver->AddConstraint(
          solver->RevAlloc(new SumConstraint(solver, vars, sum_var)));
    }
    solver->Cache()->InsertVarArrayExpression(sum_var, vars,
                                              ModelCache::VAR_ARRAY_SUM);
    return solver->MakeSum(sum_var, constant);
  }
}

IntExpr* MakeSumAux(Solver* const solver, const std::vector<IntVar*>& vars,
                    int64_t constant) {
  const int size = vars.size();
  if (size == 0) {
    return solver->MakeIntConst(constant);
  } else if (size == 1) {
    return solver->MakeSum(vars[0], constant);
  } else if (size == 2) {
    return solver->MakeSum(solver->MakeSum(vars[0], vars[1]), constant);
  } else {
    return MakeSumArrayAux(solver, vars, constant);
  }
}

IntExpr* MakeScalProdAux(Solver* solver, const std::vector<IntVar*>& vars,
                         const std::vector<int64_t>& coefs, int64_t constant) {
  if (AreAllOnes(coefs)) {
    return MakeSumAux(solver, vars, constant);
  }

  const int size = vars.size();
  if (size == 0) {
    return solver->MakeIntConst(constant);
  } else if (size == 1) {
    return solver->MakeSum(solver->MakeProd(vars[0], coefs[0]), constant);
  } else if (size == 2) {
    if (coefs[0] > 0 && coefs[1] < 0) {
      return solver->MakeSum(
          solver->MakeDifference(solver->MakeProd(vars[0], coefs[0]),
                                 solver->MakeProd(vars[1], -coefs[1])),
          constant);
    } else if (coefs[0] < 0 && coefs[1] > 0) {
      return solver->MakeSum(
          solver->MakeDifference(solver->MakeProd(vars[1], coefs[1]),
                                 solver->MakeProd(vars[0], -coefs[0])),
          constant);
    } else {
      return solver->MakeSum(
          solver->MakeSum(solver->MakeProd(vars[0], coefs[0]),
                          solver->MakeProd(vars[1], coefs[1])),
          constant);
    }
  } else {
    if (AreAllBooleans(vars)) {
      if (AreAllPositive(coefs)) {
        if (vars.size() > 8) {
          return solver->MakeSum(
              solver
                  ->RegisterIntExpr(solver->RevAlloc(
                      new PositiveBooleanScalProd(solver, vars, coefs)))
                  ->Var(),
              constant);
        } else {
          return solver->MakeSum(
              solver->RegisterIntExpr(solver->RevAlloc(
                  new PositiveBooleanScalProd(solver, vars, coefs))),
              constant);
        }
      } else {
        // If some coefficients are non-positive, partition coefficients in two
        // sets, one for the positive coefficients P and one for the negative
        // ones N.
        // Create two PositiveBooleanScalProd expressions, one on P (s1), the
        // other on Opposite(N) (s2).
        // The final expression is then s1 - s2.
        // If P is empty, the expression is Opposite(s2).
        std::vector<int64_t> positive_coefs;
        std::vector<int64_t> negative_coefs;
        std::vector<IntVar*> positive_coef_vars;
        std::vector<IntVar*> negative_coef_vars;
        for (int i = 0; i < size; ++i) {
          const int coef = coefs[i];
          if (coef > 0) {
            positive_coefs.push_back(coef);
            positive_coef_vars.push_back(vars[i]);
          } else if (coef < 0) {
            negative_coefs.push_back(-coef);
            negative_coef_vars.push_back(vars[i]);
          }
        }
        CHECK_GT(negative_coef_vars.size(), 0);
        IntExpr* const negatives =
            MakeScalProdAux(solver, negative_coef_vars, negative_coefs, 0);
        if (!positive_coef_vars.empty()) {
          IntExpr* const positives = MakeScalProdAux(solver, positive_coef_vars,
                                                     positive_coefs, constant);
          return solver->MakeDifference(positives, negatives);
        } else {
          return solver->MakeDifference(constant, negatives);
        }
      }
    }
  }
  std::vector<IntVar*> terms;
  for (int i = 0; i < size; ++i) {
    terms.push_back(solver->MakeProd(vars[i], coefs[i])->Var());
  }
  return MakeSumArrayAux(solver, terms, constant);
}

IntExpr* MakeScalProdFct(Solver* solver, const std::vector<IntVar*>& pre_vars,
                         const std::vector<int64_t>& pre_coefs) {
  int64_t constant = 0;
  std::vector<IntVar*> vars;
  std::vector<int64_t> coefs;
  DeepLinearize(solver, pre_vars, pre_coefs, &vars, &coefs, &constant);

  if (vars.empty()) {
    return solver->MakeIntConst(constant);
  }
  // Can we simplify using some gcd computation.
  int64_t gcd = std::abs(coefs[0]);
  for (int i = 1; i < coefs.size(); ++i) {
    gcd = MathUtil::GCD64(gcd, std::abs(coefs[i]));
    if (gcd == 1) {
      break;
    }
  }
  if (constant != 0 && gcd != 1) {
    gcd = MathUtil::GCD64(gcd, std::abs(constant));
  }
  if (gcd > 1) {
    for (int i = 0; i < coefs.size(); ++i) {
      coefs[i] /= gcd;
    }
    return solver->MakeProd(
        MakeScalProdAux(solver, vars, coefs, constant / gcd), gcd);
  }
  return MakeScalProdAux(solver, vars, coefs, constant);
}

IntExpr* MakeSumFct(Solver* solver, const std::vector<IntVar*>& pre_vars) {
  absl::flat_hash_map<IntVar*, int64_t> variables_to_coefficients;
  ExprLinearizer linearizer(&variables_to_coefficients);
  for (int i = 0; i < pre_vars.size(); ++i) {
    linearizer.Visit(pre_vars[i], 1);
  }
  const int64_t constant = linearizer.Constant();
  std::vector<IntVar*> vars;
  std::vector<int64_t> coefs;
  for (const auto& variable_to_coefficient : variables_to_coefficients) {
    if (variable_to_coefficient.second != 0) {
      vars.push_back(variable_to_coefficient.first);
      coefs.push_back(variable_to_coefficient.second);
    }
  }
  return MakeScalProdAux(solver, vars, coefs, constant);
}
}  // namespace

// ----- API -----

IntExpr* Solver::MakeSum(const std::vector<IntVar*>& vars) {
  const int size = vars.size();
  if (size == 0) {
    return MakeIntConst(int64_t{0});
  } else if (size == 1) {
    return vars[0];
  } else if (size == 2) {
    return MakeSum(vars[0], vars[1]);
  } else {
    IntExpr* const cache =
        model_cache_->FindVarArrayExpression(vars, ModelCache::VAR_ARRAY_SUM);
    if (cache != nullptr) {
      return cache;
    } else {
      int64_t new_min = 0;
      int64_t new_max = 0;
      for (int i = 0; i < size; ++i) {
        if (new_min != std::numeric_limits<int64_t>::min()) {
          new_min = CapAdd(vars[i]->Min(), new_min);
        }
        if (new_max != std::numeric_limits<int64_t>::max()) {
          new_max = CapAdd(vars[i]->Max(), new_max);
        }
      }
      IntExpr* sum_expr = nullptr;
      const bool all_booleans = AreAllBooleans(vars);
      if (all_booleans) {
        const std::string name =
            absl::StrFormat("BooleanSum([%s])", JoinNamePtr(vars, ", "));
        sum_expr = MakeIntVar(new_min, new_max, name);
        AddConstraint(
            RevAlloc(new SumBooleanEqualToVar(this, vars, sum_expr->Var())));
      } else if (new_min != std::numeric_limits<int64_t>::min() &&
                 new_max != std::numeric_limits<int64_t>::max()) {
        sum_expr = MakeSumFct(this, vars);
      } else {
        const std::string name =
            absl::StrFormat("Sum([%s])", JoinNamePtr(vars, ", "));
        sum_expr = MakeIntVar(new_min, new_max, name);
        AddConstraint(
            RevAlloc(new SafeSumConstraint(this, vars, sum_expr->Var())));
      }
      model_cache_->InsertVarArrayExpression(sum_expr, vars,
                                             ModelCache::VAR_ARRAY_SUM);
      return sum_expr;
    }
  }
}

IntExpr* Solver::MakeMin(const std::vector<IntVar*>& vars) {
  const int size = vars.size();
  if (size == 0) {
    LOG(WARNING) << "operations_research::Solver::MakeMin() was called with an "
                    "empty list of variables. Was this intentional?";
    return MakeIntConst(std::numeric_limits<int64_t>::max());
  } else if (size == 1) {
    return vars[0];
  } else if (size == 2) {
    return MakeMin(vars[0], vars[1]);
  } else {
    IntExpr* const cache =
        model_cache_->FindVarArrayExpression(vars, ModelCache::VAR_ARRAY_MIN);
    if (cache != nullptr) {
      return cache;
    } else {
      if (AreAllBooleans(vars)) {
        IntVar* const new_var = MakeBoolVar();
        AddConstraint(RevAlloc(new ArrayBoolAndEq(this, vars, new_var)));
        model_cache_->InsertVarArrayExpression(new_var, vars,
                                               ModelCache::VAR_ARRAY_MIN);
        return new_var;
      } else {
        int64_t new_min = std::numeric_limits<int64_t>::max();
        int64_t new_max = std::numeric_limits<int64_t>::max();
        for (int i = 0; i < size; ++i) {
          new_min = std::min(new_min, vars[i]->Min());
          new_max = std::min(new_max, vars[i]->Max());
        }
        IntVar* const new_var = MakeIntVar(new_min, new_max);
        if (size <= parameters_.array_split_size()) {
          AddConstraint(RevAlloc(new SmallMinConstraint(this, vars, new_var)));
        } else {
          AddConstraint(RevAlloc(new MinConstraint(this, vars, new_var)));
        }
        model_cache_->InsertVarArrayExpression(new_var, vars,
                                               ModelCache::VAR_ARRAY_MIN);
        return new_var;
      }
    }
  }
}

IntExpr* Solver::MakeMax(const std::vector<IntVar*>& vars) {
  const int size = vars.size();
  if (size == 0) {
    LOG(WARNING) << "operations_research::Solver::MakeMax() was called with an "
                    "empty list of variables. Was this intentional?";
    return MakeIntConst(std::numeric_limits<int64_t>::min());
  } else if (size == 1) {
    return vars[0];
  } else if (size == 2) {
    return MakeMax(vars[0], vars[1]);
  } else {
    IntExpr* const cache =
        model_cache_->FindVarArrayExpression(vars, ModelCache::VAR_ARRAY_MAX);
    if (cache != nullptr) {
      return cache;
    } else {
      if (AreAllBooleans(vars)) {
        IntVar* const new_var = MakeBoolVar();
        AddConstraint(RevAlloc(new ArrayBoolOrEq(this, vars, new_var)));
        model_cache_->InsertVarArrayExpression(new_var, vars,
                                               ModelCache::VAR_ARRAY_MIN);
        return new_var;
      } else {
        int64_t new_min = std::numeric_limits<int64_t>::min();
        int64_t new_max = std::numeric_limits<int64_t>::min();
        for (int i = 0; i < size; ++i) {
          new_min = std::max(new_min, vars[i]->Min());
          new_max = std::max(new_max, vars[i]->Max());
        }
        IntVar* const new_var = MakeIntVar(new_min, new_max);
        if (size <= parameters_.array_split_size()) {
          AddConstraint(RevAlloc(new SmallMaxConstraint(this, vars, new_var)));
        } else {
          AddConstraint(RevAlloc(new MaxConstraint(this, vars, new_var)));
        }
        model_cache_->InsertVarArrayExpression(new_var, vars,
                                               ModelCache::VAR_ARRAY_MAX);
        return new_var;
      }
    }
  }
}

Constraint* Solver::MakeMinEquality(const std::vector<IntVar*>& vars,
                                    IntVar* const min_var) {
  const int size = vars.size();
  if (size > 2) {
    if (AreAllBooleans(vars)) {
      return RevAlloc(new ArrayBoolAndEq(this, vars, min_var));
    } else if (size <= parameters_.array_split_size()) {
      return RevAlloc(new SmallMinConstraint(this, vars, min_var));
    } else {
      return RevAlloc(new MinConstraint(this, vars, min_var));
    }
  } else if (size == 2) {
    return MakeEquality(MakeMin(vars[0], vars[1]), min_var);
  } else if (size == 1) {
    return MakeEquality(vars[0], min_var);
  } else {
    LOG(WARNING) << "operations_research::Solver::MakeMinEquality() was called "
                    "with an empty list of variables. Was this intentional?";
    return MakeEquality(min_var, std::numeric_limits<int64_t>::max());
  }
}

Constraint* Solver::MakeMaxEquality(const std::vector<IntVar*>& vars,
                                    IntVar* const max_var) {
  const int size = vars.size();
  if (size > 2) {
    if (AreAllBooleans(vars)) {
      return RevAlloc(new ArrayBoolOrEq(this, vars, max_var));
    } else if (size <= parameters_.array_split_size()) {
      return RevAlloc(new SmallMaxConstraint(this, vars, max_var));
    } else {
      return RevAlloc(new MaxConstraint(this, vars, max_var));
    }
  } else if (size == 2) {
    return MakeEquality(MakeMax(vars[0], vars[1]), max_var);
  } else if (size == 1) {
    return MakeEquality(vars[0], max_var);
  } else {
    LOG(WARNING) << "operations_research::Solver::MakeMaxEquality() was called "
                    "with an empty list of variables. Was this intentional?";
    return MakeEquality(max_var, std::numeric_limits<int64_t>::min());
  }
}

Constraint* Solver::MakeSumLessOrEqual(const std::vector<IntVar*>& vars,
                                       int64_t cst) {
  const int size = vars.size();
  if (cst == 1LL && AreAllBooleans(vars) && size > 2) {
    return RevAlloc(new SumBooleanLessOrEqualToOne(this, vars));
  } else {
    return MakeLessOrEqual(MakeSum(vars), cst);
  }
}

Constraint* Solver::MakeSumGreaterOrEqual(const std::vector<IntVar*>& vars,
                                          int64_t cst) {
  const int size = vars.size();
  if (cst == 1LL && AreAllBooleans(vars) && size > 2) {
    return RevAlloc(new SumBooleanGreaterOrEqualToOne(this, vars));
  } else {
    return MakeGreaterOrEqual(MakeSum(vars), cst);
  }
}

Constraint* Solver::MakeSumEquality(const std::vector<IntVar*>& vars,
                                    int64_t cst) {
  const int size = vars.size();
  if (size == 0) {
    return cst == 0 ? MakeTrueConstraint() : MakeFalseConstraint();
  }
  if (AreAllBooleans(vars) && size > 2) {
    if (cst == 1) {
      return RevAlloc(new SumBooleanEqualToOne(this, vars));
    } else if (cst < 0 || cst > size) {
      return MakeFalseConstraint();
    } else {
      return RevAlloc(new SumBooleanEqualToVar(this, vars, MakeIntConst(cst)));
    }
  } else {
    if (vars.size() == 1) {
      return MakeEquality(vars[0], cst);
    } else if (vars.size() == 2) {
      return MakeEquality(vars[0], MakeDifference(cst, vars[1]));
    }
    if (DetectSumOverflow(vars)) {
      return RevAlloc(new SafeSumConstraint(this, vars, MakeIntConst(cst)));
    } else if (size <= parameters_.array_split_size()) {
      return RevAlloc(new SmallSumConstraint(this, vars, MakeIntConst(cst)));
    } else {
      return RevAlloc(new SumConstraint(this, vars, MakeIntConst(cst)));
    }
  }
}

Constraint* Solver::MakeSumEquality(const std::vector<IntVar*>& vars,
                                    IntVar* const var) {
  const int size = vars.size();
  if (size == 0) {
    return MakeEquality(var, Zero());
  }
  if (AreAllBooleans(vars) && size > 2) {
    return RevAlloc(new SumBooleanEqualToVar(this, vars, var));
  } else if (size == 0) {
    return MakeEquality(var, Zero());
  } else if (size == 1) {
    return MakeEquality(vars[0], var);
  } else if (size == 2) {
    return MakeEquality(MakeSum(vars[0], vars[1]), var);
  } else {
    if (DetectSumOverflow(vars)) {
      return RevAlloc(new SafeSumConstraint(this, vars, var));
    } else if (size <= parameters_.array_split_size()) {
      return RevAlloc(new SmallSumConstraint(this, vars, var));
    } else {
      return RevAlloc(new SumConstraint(this, vars, var));
    }
  }
}

Constraint* Solver::MakeScalProdEquality(
    const std::vector<IntVar*>& vars, const std::vector<int64_t>& coefficients,
    int64_t cst) {
  DCHECK_EQ(vars.size(), coefficients.size());
  return MakeScalProdEqualityFct(this, vars, coefficients, cst);
}

Constraint* Solver::MakeScalProdEquality(const std::vector<IntVar*>& vars,
                                         const std::vector<int>& coefficients,
                                         int64_t cst) {
  DCHECK_EQ(vars.size(), coefficients.size());
  return MakeScalProdEqualityFct(this, vars, ToInt64Vector(coefficients), cst);
}

Constraint* Solver::MakeScalProdEquality(
    const std::vector<IntVar*>& vars, const std::vector<int64_t>& coefficients,
    IntVar* const target) {
  DCHECK_EQ(vars.size(), coefficients.size());
  return MakeScalProdEqualityVarFct(this, vars, coefficients, target);
}

Constraint* Solver::MakeScalProdEquality(const std::vector<IntVar*>& vars,
                                         const std::vector<int>& coefficients,
                                         IntVar* const target) {
  DCHECK_EQ(vars.size(), coefficients.size());
  return MakeScalProdEqualityVarFct(this, vars, ToInt64Vector(coefficients),
                                    target);
}

Constraint* Solver::MakeScalProdGreaterOrEqual(
    const std::vector<IntVar*>& vars, const std::vector<int64_t>& coeffs,
    int64_t cst) {
  DCHECK_EQ(vars.size(), coeffs.size());
  return MakeScalProdGreaterOrEqualFct(this, vars, coeffs, cst);
}

Constraint* Solver::MakeScalProdGreaterOrEqual(const std::vector<IntVar*>& vars,
                                               const std::vector<int>& coeffs,
                                               int64_t cst) {
  DCHECK_EQ(vars.size(), coeffs.size());
  return MakeScalProdGreaterOrEqualFct(this, vars, ToInt64Vector(coeffs), cst);
}

Constraint* Solver::MakeScalProdLessOrEqual(
    const std::vector<IntVar*>& vars, const std::vector<int64_t>& coefficients,
    int64_t cst) {
  DCHECK_EQ(vars.size(), coefficients.size());
  return MakeScalProdLessOrEqualFct(this, vars, coefficients, cst);
}

Constraint* Solver::MakeScalProdLessOrEqual(
    const std::vector<IntVar*>& vars, const std::vector<int>& coefficients,
    int64_t cst) {
  DCHECK_EQ(vars.size(), coefficients.size());
  return MakeScalProdLessOrEqualFct(this, vars, ToInt64Vector(coefficients),
                                    cst);
}

IntExpr* Solver::MakeScalProd(const std::vector<IntVar*>& vars,
                              const std::vector<int64_t>& coefs) {
  DCHECK_EQ(vars.size(), coefs.size());
  return MakeScalProdFct(this, vars, coefs);
}

IntExpr* Solver::MakeScalProd(const std::vector<IntVar*>& vars,
                              const std::vector<int>& coefs) {
  DCHECK_EQ(vars.size(), coefs.size());
  return MakeScalProdFct(this, vars, ToInt64Vector(coefs));
}
}  // namespace operations_research