IntervalAnalysis.cpp

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//===-- IntervalAnalysis.cpp - Interval analysis implementation -*- C++ -*-===//
//
// Part of the LLZK Project, under the Apache License v2.0.
// See LICENSE.txt for license information.
// Copyright 2025 Veridise Inc.
// SPDX-License-Identifier: Apache-2.0
//
//===----------------------------------------------------------------------===//
 
#include "llzk/Analysis/IntervalAnalysis.h"
#include "llzk/Analysis/Matchers.h"
#include "llzk/Dialect/Array/IR/Ops.h"
#include "llzk/Util/Debug.h"
#include "llzk/Util/StreamHelper.h"
 
#include <mlir/Dialect/SCF/IR/SCF.h>
 
#include <llvm/ADT/TypeSwitch.h>
 
using namespace mlir;
 
namespace llzk {
 
using namespace array;
using namespace boolean;
using namespace cast;
using namespace component;
using namespace constrain;
using namespace felt;
using namespace function;
 
/* ExpressionValue */
 
bool ExpressionValue::operator==(const ExpressionValue &rhs) const {
  if (expr == nullptr && rhs.expr == nullptr) {
    return i == rhs.i;
  }
  if (expr == nullptr || rhs.expr == nullptr) {
    return false;
  }
  return i == rhs.i && *expr == *rhs.expr;
}
 
ExpressionValue
boolToFelt(llvm::SMTSolverRef solver, const ExpressionValue &expr, unsigned bitwidth) {
  llvm::SMTExprRef zero = solver->mkBitvector(mlir::APSInt::get(0), bitwidth);
  llvm::SMTExprRef one = solver->mkBitvector(mlir::APSInt::get(1), bitwidth);
  llvm::SMTExprRef boolToFeltConv = solver->mkIte(expr.getExpr(), one, zero);
  return expr.withExpression(boolToFeltConv);
}
 
ExpressionValue
intersection(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  Interval res = lhs.i.intersect(rhs.i);
  auto exprEq = solver->mkEqual(lhs.expr, rhs.expr);
  return ExpressionValue(exprEq, res);
}
 
ExpressionValue
add(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = lhs.i + rhs.i;
  res.expr = solver->mkBVAdd(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
sub(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = lhs.i - rhs.i;
  res.expr = solver->mkBVSub(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
mul(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = lhs.i * rhs.i;
  res.expr = solver->mkBVMul(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
div(llvm::SMTSolverRef solver, DivFeltOp op, const ExpressionValue &lhs,
    const ExpressionValue &rhs) {
  ExpressionValue res;
  auto divRes = lhs.i / rhs.i;
  if (failed(divRes)) {
    op->emitWarning(
          "divisor is not restricted to non-zero values, leading to potential divide-by-zero error."
          " Range of division result will be treated as unbounded."
    )
        .report();
    res.i = Interval::Entire(lhs.getField());
  } else {
    res.i = *divRes;
  }
  res.expr = solver->mkBVUDiv(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
mod(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = lhs.i % rhs.i;
  res.expr = solver->mkBVURem(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
bitAnd(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = lhs.i & rhs.i;
  res.expr = solver->mkBVAnd(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
shiftLeft(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = lhs.i << rhs.i;
  res.expr = solver->mkBVShl(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
shiftRight(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = lhs.i >> rhs.i;
  res.expr = solver->mkBVLshr(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
cmp(llvm::SMTSolverRef solver, CmpOp op, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  const Field &f = lhs.getField();
  // Default result is any boolean output for when we are unsure about the comparison result.
  res.i = Interval::Boolean(f);
  switch (op.getPredicate()) {
  case FeltCmpPredicate::EQ:
    res.expr = solver->mkEqual(lhs.expr, rhs.expr);
    if (lhs.i.isDegenerate() && rhs.i.isDegenerate()) {
      res.i = lhs.i == rhs.i ? Interval::True(f) : Interval::False(f);
    } else if (lhs.i.intersect(rhs.i).isEmpty()) {
      res.i = Interval::False(f);
    }
    break;
  case FeltCmpPredicate::NE:
    res.expr = solver->mkNot(solver->mkEqual(lhs.expr, rhs.expr));
    if (lhs.i.isDegenerate() && rhs.i.isDegenerate()) {
      res.i = lhs.i != rhs.i ? Interval::True(f) : Interval::False(f);
    } else if (lhs.i.intersect(rhs.i).isEmpty()) {
      res.i = Interval::True(f);
    }
    break;
  case FeltCmpPredicate::LT:
    res.expr = solver->mkBVUlt(lhs.expr, rhs.expr);
    if (lhs.i.toUnreduced().computeGEPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::True(f);
    }
    if (lhs.i.toUnreduced().computeLTPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::False(f);
    }
    break;
  case FeltCmpPredicate::LE:
    res.expr = solver->mkBVUle(lhs.expr, rhs.expr);
    if (lhs.i.toUnreduced().computeGTPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::True(f);
    }
    if (lhs.i.toUnreduced().computeLEPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::False(f);
    }
    break;
  case FeltCmpPredicate::GT:
    res.expr = solver->mkBVUgt(lhs.expr, rhs.expr);
    if (lhs.i.toUnreduced().computeLEPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::True(f);
    }
    if (lhs.i.toUnreduced().computeGTPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::False(f);
    }
    break;
  case FeltCmpPredicate::GE:
    res.expr = solver->mkBVUge(lhs.expr, rhs.expr);
    if (lhs.i.toUnreduced().computeLTPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::True(f);
    }
    if (lhs.i.toUnreduced().computeGEPart(rhs.i.toUnreduced()).reduce(f).isEmpty()) {
      res.i = Interval::False(f);
    }
    break;
  }
  return res;
}
 
ExpressionValue
boolAnd(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = boolAnd(lhs.i, rhs.i);
  res.expr = solver->mkAnd(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
boolOr(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = boolOr(lhs.i, rhs.i);
  res.expr = solver->mkOr(lhs.expr, rhs.expr);
  return res;
}
 
ExpressionValue
boolXor(llvm::SMTSolverRef solver, const ExpressionValue &lhs, const ExpressionValue &rhs) {
  ExpressionValue res;
  res.i = boolXor(lhs.i, rhs.i);
  // There's no Xor, so we do (L || R) && !(L && R)
  res.expr = solver->mkAnd(
      solver->mkOr(lhs.expr, rhs.expr), solver->mkNot(solver->mkAnd(lhs.expr, rhs.expr))
  );
  return res;
}
 
ExpressionValue fallbackBinaryOp(
    llvm::SMTSolverRef solver, Operation *op, const ExpressionValue &lhs, const ExpressionValue &rhs
) {
  ExpressionValue res;
  res.i = Interval::Entire(lhs.getField());
  res.expr = TypeSwitch<Operation *, llvm::SMTExprRef>(op)
                 .Case<OrFeltOp>([&](auto) { return solver->mkBVOr(lhs.expr, rhs.expr); })
                 .Case<XorFeltOp>([&](auto) {
    return solver->mkBVXor(lhs.expr, rhs.expr);
  }).Default([&](auto *unsupported) {
    llvm::report_fatal_error(
        "no fallback provided for " + mlir::Twine(unsupported->getName().getStringRef())
    );
    return nullptr;
  });
 
  return res;
}
 
ExpressionValue neg(llvm::SMTSolverRef solver, const ExpressionValue &val) {
  ExpressionValue res;
  res.i = -val.i;
  res.expr = solver->mkBVNeg(val.expr);
  return res;
}
 
ExpressionValue notOp(llvm::SMTSolverRef solver, const ExpressionValue &val) {
  ExpressionValue res;
  res.i = ~val.i;
  res.expr = solver->mkBVNot(val.expr);
  return res;
}
 
ExpressionValue boolNot(llvm::SMTSolverRef solver, const ExpressionValue &val) {
  ExpressionValue res;
  res.i = boolNot(val.i);
  res.expr = solver->mkNot(val.expr);
  return res;
}
 
ExpressionValue
fallbackUnaryOp(llvm::SMTSolverRef solver, Operation *op, const ExpressionValue &val) {
  const Field &field = val.getField();
  ExpressionValue res;
  res.i = Interval::Entire(field);
  res.expr = TypeSwitch<Operation *, llvm::SMTExprRef>(op)
                 .Case<InvFeltOp>([&](auto) {
    // The definition of an inverse X^-1 is Y s.t. XY % prime = 1.
    // To create this expression, we create a new symbol for Y and add the
    // XY % prime = 1 constraint to the solver.
    std::string symName = buildStringViaInsertionOp(*op);
    llvm::SMTExprRef invSym = field.createSymbol(solver, symName.c_str());
    llvm::SMTExprRef one = solver->mkBitvector(APSInt::get(1), field.bitWidth());
    llvm::SMTExprRef prime = solver->mkBitvector(toAPSInt(field.prime()), field.bitWidth());
    llvm::SMTExprRef mult = solver->mkBVMul(val.getExpr(), invSym);
    llvm::SMTExprRef mod = solver->mkBVURem(mult, prime);
    llvm::SMTExprRef constraint = solver->mkEqual(mod, one);
    solver->addConstraint(constraint);
    return invSym;
  }).Default([](Operation *unsupported) {
    llvm::report_fatal_error(
        "no fallback provided for " + mlir::Twine(unsupported->getName().getStringRef())
    );
    return nullptr;
  });
 
  return res;
}
 
void ExpressionValue::print(mlir::raw_ostream &os) const {
  if (expr) {
    expr->print(os);
  } else {
    os << "<null expression>";
  }
 
  os << " ( interval: " << i << " )";
}
 
/* IntervalAnalysisLattice */
 
ChangeResult IntervalAnalysisLattice::join(const AbstractSparseLattice &other) {
  const auto *rhs = dynamic_cast<const IntervalAnalysisLattice *>(&other);
  if (!rhs) {
    llvm::report_fatal_error("invalid join lattice type");
  }
  ChangeResult res = val.update(rhs->getValue());
  for (auto &v : rhs->constraints) {
    if (!constraints.contains(v)) {
      constraints.insert(v);
      res |= ChangeResult::Change;
    }
  }
  return res;
}
 
ChangeResult IntervalAnalysisLattice::meet(const AbstractSparseLattice &other) {
  const auto *rhs = dynamic_cast<const IntervalAnalysisLattice *>(&other);
  if (!rhs) {
    llvm::report_fatal_error("invalid join lattice type");
  }
  // Intersect the intervals
  ExpressionValue lhsExpr = val.getScalarValue();
  ExpressionValue rhsExpr = rhs->getValue().getScalarValue();
  Interval newInterval = lhsExpr.getInterval().intersect(rhsExpr.getInterval());
  ChangeResult res = setValue(lhsExpr.withInterval(newInterval));
  for (auto &v : rhs->constraints) {
    if (!constraints.contains(v)) {
      constraints.insert(v);
      res |= ChangeResult::Change;
    }
  }
  return res;
}
 
void IntervalAnalysisLattice::print(mlir::raw_ostream &os) const {
  os << "IntervalAnalysisLattice { " << val << " }";
}
 
ChangeResult IntervalAnalysisLattice::setValue(const LatticeValue &newVal) {
  if (val == newVal) {
    return ChangeResult::NoChange;
  }
  val = newVal;
  return ChangeResult::Change;
}
 
ChangeResult IntervalAnalysisLattice::setValue(ExpressionValue e) {
  LatticeValue newVal(e);
  return setValue(newVal);
}
 
ChangeResult IntervalAnalysisLattice::addSolverConstraint(ExpressionValue e) {
  if (!constraints.contains(e)) {
    constraints.insert(e);
    return ChangeResult::Change;
  }
  return ChangeResult::NoChange;
}
 
/* IntervalDataFlowAnalysis */
 
const SourceRefLattice *
IntervalDataFlowAnalysis::getSourceRefLattice(Operation *baseOp, Value val) {
  ProgramPoint *pp = _dataflowSolver.getProgramPointAfter(baseOp);
  auto defaultSourceRefLattice = _dataflowSolver.lookupState<SourceRefLattice>(pp);
  ensure(defaultSourceRefLattice, "failed to get lattice");
  if (Operation *defOp = val.getDefiningOp()) {
    ProgramPoint *defPoint = _dataflowSolver.getProgramPointAfter(defOp);
    auto sourceRefLattice = _dataflowSolver.lookupState<SourceRefLattice>(defPoint);
    ensure(sourceRefLattice, "failed to get SourceRefLattice for value");
    return sourceRefLattice;
  }
  return defaultSourceRefLattice;
}
 
mlir::LogicalResult IntervalDataFlowAnalysis::visitOperation(
    Operation *op, ArrayRef<const Lattice *> operands, ArrayRef<Lattice *> results
) {
  // We only perform the visitation on operations within functions
  FuncDefOp fn = op->getParentOfType<FuncDefOp>();
  if (!fn) {
    return success();
  }
 
  // If there are no operands or results, skip.
  if (operands.empty() && results.empty()) {
    return success();
  }
 
  // Get the values or defaults from the operand lattices
  llvm::SmallVector<LatticeValue> operandVals;
  llvm::SmallVector<std::optional<SourceRef>> operandRefs;
  for (unsigned opNum = 0; opNum < op->getNumOperands(); ++opNum) {
    Value val = op->getOperand(opNum);
    SourceRefLatticeValue refSet = getSourceRefLattice(op, val)->getOrDefault(val);
    if (refSet.isSingleValue()) {
      operandRefs.push_back(refSet.getSingleValue());
    } else {
      operandRefs.push_back(std::nullopt);
    }
    // First, lookup the operand value after it is initialized
    auto priorState = operands[opNum]->getValue();
    if (priorState.getScalarValue().getExpr() != nullptr) {
      operandVals.push_back(priorState);
      continue;
    }
 
    // Else, look up the stored value by `SourceRef`.
    // We only care about scalar type values, so we ignore composite types, which
    // are currently limited to non-Signal structs and arrays.
    Type valTy = val.getType();
    if (llvm::isa<ArrayType, StructType>(valTy) && !isSignalType(valTy)) {
      ExpressionValue anyVal(field.get(), createFeltSymbol(val));
      operandVals.emplace_back(anyVal);
      continue;
    }
 
    ensure(refSet.isScalar(), "should have ruled out array values already");
 
    if (refSet.getScalarValue().empty()) {
      // If we can't compute the reference, then there must be some unsupported
      // op the reference analysis cannot handle. We emit a warning and return
      // early, since there's no meaningful computation we can do for this op.
      op->emitWarning()
          .append(
              "state of ", val, " is empty; defining operation is unsupported by SourceRef analysis"
          )
          .report();
      // We still return success so we can return overapproximated and partial
      // results to the user.
      return success();
    } else if (!refSet.isSingleValue()) {
      std::string warning;
      debug::Appender(warning) << "operand " << val << " is not a single value " << refSet
                               << ", overapproximating";
      op->emitWarning(warning).report();
      // Here, we will override the prior lattice value with a new symbol, representing
      // "any" value, then use that value for the operands.
      ExpressionValue anyVal(field.get(), createFeltSymbol(val));
      operandVals.emplace_back(anyVal);
    } else {
      const SourceRef &ref = refSet.getSingleValue();
      // See if we've written the value before. If so, use that.
      if (auto it = fieldWriteResults.find(ref); it != fieldWriteResults.end()) {
        operandVals.emplace_back(it->second);
      } else {
        ExpressionValue exprVal(field.get(), getOrCreateSymbol(ref));
        operandVals.emplace_back(exprVal);
      }
    }
 
    // Since we initialized a value that was not found in the before lattice,
    // update that value in the lattice so we can find it later, but we don't
    // need to propagate the changes, since we already have what we need.
    Lattice *operandLattice = getLatticeElement(val);
    (void)operandLattice->setValue(operandVals[opNum]);
  }
 
  // Now, the way we update is dependent on the type of the operation.
  if (isConstOp(op)) {
    llvm::DynamicAPInt constVal = getConst(op);
    llvm::SMTExprRef expr = createConstBitvectorExpr(constVal);
    ExpressionValue latticeVal(field.get(), expr, constVal);
    propagateIfChanged(results[0], results[0]->setValue(latticeVal));
  } else if (isArithmeticOp(op)) {
    ExpressionValue result;
    if (operands.size() == 2) {
      result = performBinaryArithmetic(op, operandVals[0], operandVals[1]);
    } else {
      result = performUnaryArithmetic(op, operandVals[0]);
    }
    // Also intersect with prior interval, if it's initialized
    const ExpressionValue &prior = results[0]->getValue().getScalarValue();
    if (prior.getExpr()) {
      result = result.withInterval(result.getInterval().intersect(prior.getInterval()));
    }
    propagateIfChanged(results[0], results[0]->setValue(result));
  } else if (EmitEqualityOp emitEq = llvm::dyn_cast<EmitEqualityOp>(op)) {
    Value lhsVal = emitEq.getLhs(), rhsVal = emitEq.getRhs();
    ExpressionValue lhsExpr = operandVals[0].getScalarValue();
    ExpressionValue rhsExpr = operandVals[1].getScalarValue();
 
    // Special handling for generalized (s - c0) * (s - c1) * ... * (s - cN) = 0 patterns.
    // These patterns enforce that s is one of c0, ..., cN.
    auto res = getGeneralizedDecompInterval(op, lhsVal, rhsVal);
    if (succeeded(res)) {
      for (Value signalVal : res->first) {
        applyInterval(emitEq, signalVal, res->second);
      }
    }
 
    ExpressionValue constraint = intersection(smtSolver, lhsExpr, rhsExpr);
    // Update the LHS and RHS to the same value, but restricted intervals
    // based on the constraints.
    const Interval &constrainInterval = constraint.getInterval();
    applyInterval(emitEq, lhsVal, constrainInterval);
    applyInterval(emitEq, rhsVal, constrainInterval);
  } else if (auto assertOp = llvm::dyn_cast<AssertOp>(op)) {
    // assert enforces that the operand is true. So we apply an interval of [1, 1]
    // to the operand.
    Value cond = assertOp.getCondition();
    applyInterval(assertOp, cond, Interval::True(field.get()));
    // Also add the solver constraint that the expression must be true.
    auto assertExpr = operandVals[0].getScalarValue();
    // No need to propagate the constraint
    (void)getLatticeElement(cond)->addSolverConstraint(assertExpr);
  } else if (auto readf = llvm::dyn_cast<FieldReadOp>(op)) {
    Value cmp = readf.getComponent();
    if (isSignalType(cmp.getType())) {
      // The reg value read from the signal type is equal to the value of the Signal
      // struct overall.
      propagateIfChanged(results[0], results[0]->setValue(operandVals[0]));
    }
  } else if (auto writef = llvm::dyn_cast<FieldWriteOp>(op)) {
    // Update values stored in a field
    ExpressionValue writeVal = operandVals[1].getScalarValue();
    auto cmp = writef.getComponent();
    // We also need to update the interval on the assigned symbol
    SourceRefLatticeValue refSet = getSourceRefLattice(op, cmp)->getOrDefault(cmp);
    if (refSet.isSingleValue()) {
      auto fieldDefRes = writef.getFieldDefOp(tables);
      if (succeeded(fieldDefRes)) {
        SourceRefIndex idx(fieldDefRes.value());
        SourceRef fieldRef = refSet.getSingleValue().createChild(idx);
        llvm::SMTExprRef expr = getOrCreateSymbol(fieldRef);
        ExpressionValue written(expr, writeVal.getInterval());
 
        if (auto it = fieldWriteResults.find(fieldRef); it != fieldWriteResults.end()) {
          const ExpressionValue &old = it->second;
          Interval combinedWrite = old.getInterval().join(written.getInterval());
          fieldWriteResults[fieldRef] = old.withInterval(combinedWrite);
        } else {
          fieldWriteResults[fieldRef] = written;
        }
 
        // Propagate to all field readers we've collected so far.
        for (Lattice *readerLattice : fieldReadResults[fieldRef]) {
          ExpressionValue prior = readerLattice->getValue().getScalarValue();
          Interval intersection = prior.getInterval().intersect(written.getInterval());
          ExpressionValue newVal = prior.withInterval(intersection);
          propagateIfChanged(readerLattice, readerLattice->setValue(newVal));
        }
      }
    }
  } else if (isa<IntToFeltOp, FeltToIndexOp>(op)) {
    // Casts don't modify the intervals, but they do modify the SMT types.
    ExpressionValue expr = operandVals[0].getScalarValue();
    // We treat all ints and indexes as felts with the exception of comparison
    // results, which are bools. So if `expr` is a bool, this cast needs to
    // upcast to a felt.
    if (expr.isBoolSort(smtSolver)) {
      expr = boolToFelt(smtSolver, expr, field.get().bitWidth());
    }
    propagateIfChanged(results[0], results[0]->setValue(expr));
  } else if (auto yieldOp = dyn_cast<scf::YieldOp>(op)) {
    // Fetch the lattice for after the parent operation so we can propagate
    // the yielded value to subsequent operations.
    Operation *parent = op->getParentOp();
    ensure(parent, "yield operation must have parent operation");
    // Bind the operand values to the result values of the parent
    for (unsigned idx = 0; idx < yieldOp.getResults().size(); ++idx) {
      Value parentRes = parent->getResult(idx);
      Lattice *resLattice = getLatticeElement(parentRes);
      // Merge with the existing value, if present (e.g., another branch)
      // has possible value that must be merged.
      ExpressionValue exprVal = resLattice->getValue().getScalarValue();
      ExpressionValue newResVal = operandVals[idx].getScalarValue();
      if (exprVal.getExpr() != nullptr) {
        newResVal = exprVal.withInterval(exprVal.getInterval().join(newResVal.getInterval()));
      } else {
        newResVal = ExpressionValue(createFeltSymbol(parentRes), newResVal.getInterval());
      }
      propagateIfChanged(resLattice, resLattice->setValue(newResVal));
    }
  } else if (
      // We do not need to explicitly handle read ops since they are resolved at the operand value
      // step where `SourceRef`s are queries (with the exception of the Signal struct, see above).
      !isReadOp(op)
      // We do not currently handle return ops as the analysis is currently limited to constrain
      // functions, which return no value.
      && !isReturnOp(op)
      // The analysis ignores definition ops.
      && !isDefinitionOp(op)
      // We do not need to analyze the creation of structs.
      && !llvm::isa<CreateStructOp>(op)
  ) {
    op->emitWarning("unhandled operation, analysis may be incomplete").report();
  }
 
  return success();
}
 
llvm::SMTExprRef IntervalDataFlowAnalysis::getOrCreateSymbol(const SourceRef &r) {
  auto it = refSymbols.find(r);
  if (it != refSymbols.end()) {
    return it->second;
  }
  llvm::SMTExprRef sym = createFeltSymbol(r);
  refSymbols[r] = sym;
  return sym;
}
 
llvm::SMTExprRef IntervalDataFlowAnalysis::createFeltSymbol(const SourceRef &r) const {
  return createFeltSymbol(buildStringViaPrint(r).c_str());
}
 
llvm::SMTExprRef IntervalDataFlowAnalysis::createFeltSymbol(Value v) const {
  return createFeltSymbol(buildStringViaPrint(v).c_str());
}
 
llvm::SMTExprRef IntervalDataFlowAnalysis::createFeltSymbol(const char *name) const {
  return field.get().createSymbol(smtSolver, name);
}
 
llvm::DynamicAPInt IntervalDataFlowAnalysis::getConst(Operation *op) const {
  ensure(isConstOp(op), "op is not a const op");
 
  llvm::DynamicAPInt fieldConst =
      TypeSwitch<Operation *, llvm::DynamicAPInt>(op)
          .Case<FeltConstantOp>([&](FeltConstantOp feltConst) {
    llvm::APSInt constOpVal(feltConst.getValue());
    return field.get().reduce(constOpVal);
  })
          .Case<arith::ConstantIndexOp>([&](arith::ConstantIndexOp indexConst) {
    return DynamicAPInt(indexConst.value());
  })
          .Case<arith::ConstantIntOp>([&](arith::ConstantIntOp intConst) {
    return DynamicAPInt(intConst.value());
  }).Default([](Operation *illegalOp) {
    std::string err;
    debug::Appender(err) << "unhandled getConst case: " << *illegalOp;
    llvm::report_fatal_error(Twine(err));
    return llvm::DynamicAPInt();
  });
  return fieldConst;
}
 
ExpressionValue IntervalDataFlowAnalysis::performBinaryArithmetic(
    Operation *op, const LatticeValue &a, const LatticeValue &b
) {
  ensure(isArithmeticOp(op), "is not arithmetic op");
 
  auto lhs = a.getScalarValue(), rhs = b.getScalarValue();
  ensure(lhs.getExpr(), "cannot perform arithmetic over null lhs smt expr");
  ensure(rhs.getExpr(), "cannot perform arithmetic over null rhs smt expr");
 
  auto res = TypeSwitch<Operation *, ExpressionValue>(op)
                 .Case<AddFeltOp>([&](auto _) { return add(smtSolver, lhs, rhs); })
                 .Case<SubFeltOp>([&](auto _) { return sub(smtSolver, lhs, rhs); })
                 .Case<MulFeltOp>([&](auto _) { return mul(smtSolver, lhs, rhs); })
                 .Case<DivFeltOp>([&](auto divOp) { return div(smtSolver, divOp, lhs, rhs); })
                 .Case<ModFeltOp>([&](auto _) { return mod(smtSolver, lhs, rhs); })
                 .Case<AndFeltOp>([&](auto _) { return bitAnd(smtSolver, lhs, rhs); })
                 .Case<ShlFeltOp>([&](auto _) { return shiftLeft(smtSolver, lhs, rhs); })
                 .Case<ShrFeltOp>([&](auto _) { return shiftRight(smtSolver, lhs, rhs); })
                 .Case<CmpOp>([&](auto cmpOp) { return cmp(smtSolver, cmpOp, lhs, rhs); })
                 .Case<AndBoolOp>([&](auto _) { return boolAnd(smtSolver, lhs, rhs); })
                 .Case<OrBoolOp>([&](auto _) { return boolOr(smtSolver, lhs, rhs); })
                 .Case<XorBoolOp>([&](auto _) {
    return boolXor(smtSolver, lhs, rhs);
  }).Default([&](auto *unsupported) {
    unsupported
        ->emitWarning(
            "unsupported binary arithmetic operation, defaulting to over-approximated intervals"
        )
        .report();
    return fallbackBinaryOp(smtSolver, unsupported, lhs, rhs);
  });
 
  ensure(res.getExpr(), "arithmetic produced null smt expr");
  return res;
}
 
ExpressionValue
IntervalDataFlowAnalysis::performUnaryArithmetic(Operation *op, const LatticeValue &a) {
  ensure(isArithmeticOp(op), "is not arithmetic op");
 
  auto val = a.getScalarValue();
  ensure(val.getExpr(), "cannot perform arithmetic over null smt expr");
 
  auto res = TypeSwitch<Operation *, ExpressionValue>(op)
                 .Case<NegFeltOp>([&](auto _) { return neg(smtSolver, val); })
                 .Case<NotFeltOp>([&](auto _) { return notOp(smtSolver, val); })
                 .Case<NotBoolOp>([&](auto _) { return boolNot(smtSolver, val); })
                 // The inverse op is currently overapproximated
                 .Case<InvFeltOp>([&](auto inv) {
    return fallbackUnaryOp(smtSolver, inv, val);
  }).Default([&](auto *unsupported) {
    unsupported
        ->emitWarning(
            "unsupported unary arithmetic operation, defaulting to over-approximated interval"
        )
        .report();
    return fallbackUnaryOp(smtSolver, unsupported, val);
  });
 
  ensure(res.getExpr(), "arithmetic produced null smt expr");
  return res;
}
 
void IntervalDataFlowAnalysis::applyInterval(Operation *valUser, Value val, Interval newInterval) {
  Lattice *valLattice = getLatticeElement(val);
  ExpressionValue oldLatticeVal = valLattice->getValue().getScalarValue();
  // Intersect with the current value to accumulate restrictions across constraints.
  Interval intersection = oldLatticeVal.getInterval().intersect(newInterval);
  ExpressionValue newLatticeVal = oldLatticeVal.withInterval(intersection);
  ChangeResult changed = valLattice->setValue(newLatticeVal);
 
  if (auto blockArg = llvm::dyn_cast<BlockArgument>(val)) {
    auto fnOp = dyn_cast<FuncDefOp>(blockArg.getOwner()->getParentOp());
 
    // Apply the interval from the constrain function inputs to the compute function inputs
    if (propagateInputConstraints && fnOp && fnOp.isStructConstrain() &&
        blockArg.getArgNumber() > 0 && !newInterval.isEntire()) {
      auto structOp = fnOp->getParentOfType<StructDefOp>();
      FuncDefOp computeFn = structOp.getComputeFuncOp();
      BlockArgument computeArg = computeFn.getArgument(blockArg.getArgNumber() - 1);
      Lattice *computeEntryLattice = getLatticeElement(computeArg);
 
      SourceRef ref(computeArg);
      ExpressionValue newArgVal(getOrCreateSymbol(ref), newInterval);
      propagateIfChanged(computeEntryLattice, computeEntryLattice->setValue(newArgVal));
    }
  }
 
  // Now we descend into val's operands, if it has any.
  Operation *definingOp = val.getDefiningOp();
  if (!definingOp) {
    propagateIfChanged(valLattice, changed);
    return;
  }
 
  const Field &f = field.get();
 
  // This is a rules-based operation. If we have a rule for a given operation,
  // then we can make some kind of update, otherwise we leave the intervals
  // as is.
  // - First we'll define all the rules so the type switch can be less messy
 
  // cmp.<pred> restricts each side of the comparison if the result is known.
  auto cmpCase = [&](CmpOp cmpOp) {
    // Cmp output range is [0, 1], so in order to do something, we must have newInterval
    // either "true" (1) or "false" (0).
    // -- In the case of a contradictory circuit, however, the cmp result is allowed
    // to be empty.
    ensure(
        newInterval.isBoolean() || newInterval.isEmpty(),
        "new interval for CmpOp is not boolean or empty"
    );
    if (!newInterval.isDegenerate()) {
      // The comparison result is unknown, so we can't update the operand ranges
      return;
    }
 
    bool cmpTrue = newInterval.rhs() == f.one();
 
    Value lhs = cmpOp.getLhs(), rhs = cmpOp.getRhs();
    auto lhsLat = getLatticeElement(lhs), rhsLat = getLatticeElement(rhs);
    ExpressionValue lhsExpr = lhsLat->getValue().getScalarValue(),
                    rhsExpr = rhsLat->getValue().getScalarValue();
 
    Interval newLhsInterval, newRhsInterval;
    const Interval &lhsInterval = lhsExpr.getInterval();
    const Interval &rhsInterval = rhsExpr.getInterval();
 
    FeltCmpPredicate pred = cmpOp.getPredicate();
    // predicate cases
    auto eqCase = [&]() {
      return (pred == FeltCmpPredicate::EQ && cmpTrue) ||
             (pred == FeltCmpPredicate::NE && !cmpTrue);
    };
    auto neCase = [&]() {
      return (pred == FeltCmpPredicate::NE && cmpTrue) ||
             (pred == FeltCmpPredicate::EQ && !cmpTrue);
    };
    auto ltCase = [&]() {
      return (pred == FeltCmpPredicate::LT && cmpTrue) ||
             (pred == FeltCmpPredicate::GE && !cmpTrue);
    };
    auto leCase = [&]() {
      return (pred == FeltCmpPredicate::LE && cmpTrue) ||
             (pred == FeltCmpPredicate::GT && !cmpTrue);
    };
    auto gtCase = [&]() {
      return (pred == FeltCmpPredicate::GT && cmpTrue) ||
             (pred == FeltCmpPredicate::LE && !cmpTrue);
    };
    auto geCase = [&]() {
      return (pred == FeltCmpPredicate::GE && cmpTrue) ||
             (pred == FeltCmpPredicate::LT && !cmpTrue);
    };
 
    // new intervals based on case
    if (eqCase()) {
      newLhsInterval = newRhsInterval = lhsInterval.intersect(rhsInterval);
    } else if (neCase()) {
      if (lhsInterval.isDegenerate() && rhsInterval.isDegenerate() && lhsInterval == rhsInterval) {
        // In this case, we know lhs and rhs cannot satisfy this assertion, so they have
        // an empty value range.
        newLhsInterval = newRhsInterval = Interval::Empty(f);
      } else if (lhsInterval.isDegenerate()) {
        // rhs must not overlap with lhs
        newLhsInterval = lhsInterval;
        newRhsInterval = rhsInterval.difference(lhsInterval);
      } else if (rhsInterval.isDegenerate()) {
        // lhs must not overlap with rhs
        newLhsInterval = lhsInterval.difference(rhsInterval);
        newRhsInterval = rhsInterval;
      } else {
        // Leave unchanged
        newLhsInterval = lhsInterval;
        newRhsInterval = rhsInterval;
      }
    } else if (ltCase()) {
      newLhsInterval = lhsInterval.toUnreduced().computeLTPart(rhsInterval.toUnreduced()).reduce(f);
      newRhsInterval = rhsInterval.toUnreduced().computeGEPart(lhsInterval.toUnreduced()).reduce(f);
    } else if (leCase()) {
      newLhsInterval = lhsInterval.toUnreduced().computeLEPart(rhsInterval.toUnreduced()).reduce(f);
      newRhsInterval = rhsInterval.toUnreduced().computeGTPart(lhsInterval.toUnreduced()).reduce(f);
    } else if (gtCase()) {
      newLhsInterval = lhsInterval.toUnreduced().computeGTPart(rhsInterval.toUnreduced()).reduce(f);
      newRhsInterval = rhsInterval.toUnreduced().computeLEPart(lhsInterval.toUnreduced()).reduce(f);
    } else if (geCase()) {
      newLhsInterval = lhsInterval.toUnreduced().computeGEPart(rhsInterval.toUnreduced()).reduce(f);
      newRhsInterval = rhsInterval.toUnreduced().computeLTPart(lhsInterval.toUnreduced()).reduce(f);
    } else {
      cmpOp->emitWarning("unhandled cmp predicate").report();
      return;
    }
 
    // Now we recurse to each operand
    applyInterval(cmpOp, lhs, newLhsInterval);
    applyInterval(cmpOp, rhs, newRhsInterval);
  };
 
  // Multiplication cases:
  // - If the result of a multiplication is non-zero, then both operands must be
  // non-zero.
  // - If one operand is a constant, we can propagate the new interval when multiplied
  // by the multiplicative inverse of the constant.
  auto mulCase = [&](MulFeltOp mulOp) {
    // We check for the constant case first.
    auto constCase = [&](FeltConstantOp constOperand, Value multiplicand) {
      auto latVal = getLatticeElement(multiplicand)->getValue().getScalarValue();
      APInt constVal = constOperand.getValue();
      if (constVal.isZero()) {
        // There's no inverse for zero, so we do nothing.
        return;
      }
      Interval updatedInterval = newInterval * Interval::Degenerate(f, f.inv(constVal));
      applyInterval(mulOp, multiplicand, updatedInterval);
    };
 
    Value lhs = mulOp.getLhs(), rhs = mulOp.getRhs();
 
    auto lhsConstOp = dyn_cast_if_present<FeltConstantOp>(lhs.getDefiningOp());
    auto rhsConstOp = dyn_cast_if_present<FeltConstantOp>(rhs.getDefiningOp());
    // If both are consts, we don't need to do anything
    if (lhsConstOp && rhsConstOp) {
      return;
    } else if (lhsConstOp) {
      constCase(lhsConstOp, rhs);
      return;
    } else if (rhsConstOp) {
      constCase(rhsConstOp, lhs);
      return;
    }
 
    // Otherwise, try to propagate non-zero information.
    auto zeroInt = Interval::Degenerate(f, f.zero());
    if (newInterval.intersect(zeroInt).isNotEmpty()) {
      // The multiplication may be zero, so we can't reduce the operands to be non-zero
      return;
    }
 
    auto lhsLat = getLatticeElement(lhs), rhsLat = getLatticeElement(rhs);
    ExpressionValue lhsExpr = lhsLat->getValue().getScalarValue(),
                    rhsExpr = rhsLat->getValue().getScalarValue();
    Interval newLhsInterval = lhsExpr.getInterval().difference(zeroInt);
    Interval newRhsInterval = rhsExpr.getInterval().difference(zeroInt);
    applyInterval(mulOp, lhs, newLhsInterval);
    applyInterval(mulOp, rhs, newRhsInterval);
  };
 
  auto addCase = [&](AddFeltOp addOp) {
    Value lhs = addOp.getLhs(), rhs = addOp.getRhs();
    Lattice *lhsLat = getLatticeElement(lhs), *rhsLat = getLatticeElement(rhs);
    ExpressionValue lhsVal = lhsLat->getValue().getScalarValue();
    ExpressionValue rhsVal = rhsLat->getValue().getScalarValue();
 
    const Interval &currLhsInt = lhsVal.getInterval(), &currRhsInt = rhsVal.getInterval();
 
    Interval derivedLhsInt = newInterval - currRhsInt;
    Interval derivedRhsInt = newInterval - currLhsInt;
 
    Interval finalLhsInt = currLhsInt.intersect(derivedLhsInt);
    Interval finalRhsInt = currRhsInt.intersect(derivedRhsInt);
 
    applyInterval(addOp, lhs, finalLhsInt);
    applyInterval(addOp, rhs, finalRhsInt);
  };
 
  auto subCase = [&](SubFeltOp subOp) {
    Value lhs = subOp.getLhs(), rhs = subOp.getRhs();
    Lattice *lhsLat = getLatticeElement(lhs), *rhsLat = getLatticeElement(rhs);
    ExpressionValue lhsVal = lhsLat->getValue().getScalarValue();
    ExpressionValue rhsVal = rhsLat->getValue().getScalarValue();
 
    const Interval &currLhsInt = lhsVal.getInterval(), &currRhsInt = rhsVal.getInterval();
 
    Interval derivedLhsInt = newInterval + currRhsInt;
    Interval derivedRhsInt = currLhsInt - newInterval;
 
    Interval finalLhsInt = currLhsInt.intersect(derivedLhsInt);
    Interval finalRhsInt = currRhsInt.intersect(derivedRhsInt);
 
    applyInterval(subOp, lhs, finalLhsInt);
    applyInterval(subOp, rhs, finalRhsInt);
  };
 
  auto readfCase = [&](FieldReadOp readfOp) {
    const SourceRefLattice *sourceRefLattice = getSourceRefLattice(valUser, val);
    SourceRefLatticeValue sourceRefVal = sourceRefLattice->getOrDefault(val);
 
    if (sourceRefVal.isSingleValue()) {
      const SourceRef &ref = sourceRefVal.getSingleValue();
      fieldReadResults[ref].insert(valLattice);
 
      // Also propagate to all other field read results for this field
      for (Lattice *l : fieldReadResults[ref]) {
        if (l != valLattice) {
          propagateIfChanged(l, l->setValue(newLatticeVal));
        }
      }
    }
 
    // We have a special case for the Signal struct: if this value is created
    // from reading a Signal struct's reg field, we also apply the interval to
    // the struct itself.
    Value comp = readfOp.getComponent();
    if (isSignalType(comp.getType())) {
      applyInterval(readfOp, comp, newInterval);
    }
  };
 
  auto readArrCase = [&](ReadArrayOp _) {
    const SourceRefLattice *sourceRefLattice = getSourceRefLattice(valUser, val);
    SourceRefLatticeValue sourceRefVal = sourceRefLattice->getOrDefault(val);
 
    if (sourceRefVal.isSingleValue()) {
      const SourceRef &ref = sourceRefVal.getSingleValue();
      fieldReadResults[ref].insert(valLattice);
 
      // Also propagate to all other field read results for this field
      for (Lattice *l : fieldReadResults[ref]) {
        if (l != valLattice) {
          propagateIfChanged(l, l->setValue(newLatticeVal));
        }
      }
    }
  };
 
  // For casts, just pass the interval along to the cast's operand.
  auto castCase = [&](Operation *op) { applyInterval(op, op->getOperand(0), newInterval); };
 
  // - Apply the rules given the op.
  // NOTE: disabling clang-format for this because it makes the last case statement
  // look ugly.
  // clang-format off
  TypeSwitch<Operation *>(definingOp)
            .Case<CmpOp>([&](auto op) { cmpCase(op); })
            .Case<AddFeltOp>([&](auto op) { return addCase(op); })
            .Case<SubFeltOp>([&](auto op) { return subCase(op); })
            .Case<MulFeltOp>([&](auto op) { mulCase(op); })
            .Case<FieldReadOp>([&](auto op){ readfCase(op); })
            .Case<ReadArrayOp>([&](auto op){ readArrCase(op); })
            .Case<IntToFeltOp, FeltToIndexOp>([&](auto op) { castCase(op); })
            .Default([&](Operation *) { });
  // clang-format on
 
  // Propagate after recursion to avoid having recursive calls unset the value.
  propagateIfChanged(valLattice, changed);
}
 
FailureOr<std::pair<DenseSet<Value>, Interval>>
IntervalDataFlowAnalysis::getGeneralizedDecompInterval(Operation *baseOp, Value lhs, Value rhs) {
  auto isZeroConst = [this](Value v) {
    Operation *op = v.getDefiningOp();
    if (!op) {
      return false;
    }
    if (!isConstOp(op)) {
      return false;
    }
    return getConst(op) == field.get().zero();
  };
  bool lhsIsZero = isZeroConst(lhs), rhsIsZero = isZeroConst(rhs);
  Value exprTree = nullptr;
  if (lhsIsZero && !rhsIsZero) {
    exprTree = rhs;
  } else if (!lhsIsZero && rhsIsZero) {
    exprTree = lhs;
  } else {
    return failure();
  }
 
  // We now explore the expression tree for multiplications of subtractions/signal values.
  std::optional<SourceRef> signalRef = std::nullopt;
  DenseSet<Value> signalVals;
  SmallVector<DynamicAPInt> consts;
  SmallVector<Value> frontier {exprTree};
  while (!frontier.empty()) {
    Value v = frontier.back();
    frontier.pop_back();
    Operation *op = v.getDefiningOp();
 
    FeltConstantOp c;
    Value signalVal;
    auto handleRefValue = [this, &baseOp, &signalRef, &signalVal, &signalVals]() {
      SourceRefLatticeValue refSet =
          getSourceRefLattice(baseOp, signalVal)->getOrDefault(signalVal);
      if (!refSet.isScalar() || !refSet.isSingleValue()) {
        return failure();
      }
      SourceRef r = refSet.getSingleValue();
      if (signalRef.has_value() && signalRef.value() != r) {
        return failure();
      } else if (!signalRef.has_value()) {
        signalRef = r;
      }
      signalVals.insert(signalVal);
      return success();
    };
 
    auto subPattern = m_CommutativeOp<SubFeltOp>(m_RefValue(&signalVal), m_Constant(&c));
    if (op && matchPattern(op, subPattern)) {
      if (failed(handleRefValue())) {
        return failure();
      }
      auto constInt = APSInt(c.getValue());
      consts.push_back(field.get().reduce(constInt));
      continue;
    } else if (m_RefValue(&signalVal).match(v)) {
      if (failed(handleRefValue())) {
        return failure();
      }
      consts.push_back(field.get().zero());
      continue;
    }
 
    Value a, b;
    auto mulPattern = m_CommutativeOp<MulFeltOp>(matchers::m_Any(&a), matchers::m_Any(&b));
    if (op && matchPattern(op, mulPattern)) {
      frontier.push_back(a);
      frontier.push_back(b);
      continue;
    }
 
    return failure();
  }
 
  // Now, we aggregate the Interval. If we have sparse values (e.g., 0, 2, 4),
  // we will create a larger range of [0, 4], since we don't support multiple intervals.
  std::sort(consts.begin(), consts.end());
  Interval iv = UnreducedInterval(consts.front(), consts.back()).reduce(field.get());
  return std::make_pair(std::move(signalVals), iv);
}
 
/* StructIntervals */
 
LogicalResult StructIntervals::computeIntervals(
    mlir::DataFlowSolver &solver, const IntervalAnalysisContext &ctx
) {
 
  auto validSourceRefType = [](const SourceRef &ref) {
    // We only want to compute intervals for field elements and not composite types,
    // with the exception of the Signal struct.
    if (!ref.isScalar() && !ref.isSignal()) {
      return false;
    }
    // We also don't want to show the interval for a Signal and its internal reg.
    if (auto parentOr = ref.getParentPrefix(); succeeded(parentOr) && parentOr->isSignal()) {
      return false;
    }
    return true;
  };
 
  auto computeIntervalsImpl = [&solver, &ctx, &validSourceRefType, this](
                                  FuncDefOp fn, llvm::MapVector<SourceRef, Interval> &fieldRanges,
                                  llvm::SetVector<ExpressionValue> &solverConstraints
                              ) {
    // Since every lattice value does not contain every value, we will traverse
    // the function backwards (from most up-to-date to least-up-to-date lattices)
    // searching for the source refs. Once a source ref is found, we remove it
    // from the search set.
 
    SourceRefSet searchSet;
    for (const auto &ref : SourceRef::getAllSourceRefs(structDef, fn)) {
      // We only want to compute intervals for field elements and not composite types,
      // with the exception of the Signal struct.
      if (validSourceRefType(ref)) {
        searchSet.insert(ref);
      }
    }
 
    // Iterate over arguments
    for (BlockArgument arg : fn.getArguments()) {
      SourceRef ref {arg};
      if (searchSet.erase(ref)) {
        const IntervalAnalysisLattice *lattice = solver.lookupState<IntervalAnalysisLattice>(arg);
        // If we never referenced this argument, use a default value
        ExpressionValue expr = lattice->getValue().getScalarValue();
        if (!expr.getExpr()) {
          expr = expr.withInterval(Interval::Entire(ctx.getField()));
        }
        fieldRanges[ref] = expr.getInterval();
        assert(fieldRanges[ref].getField() == ctx.getField() && "bad interval defaults");
      }
    }
 
    // Iterate over fields that were touched by the analysis
    for (const auto &[ref, lattices] : ctx.intervalDFA->getFieldReadResults()) {
      // All lattices should have the same value, so we can get the front.
      if (!lattices.empty() && searchSet.erase(ref)) {
        const IntervalAnalysisLattice *lattice = *lattices.begin();
        fieldRanges[ref] = lattice->getValue().getScalarValue().getInterval();
        assert(fieldRanges[ref].getField() == ctx.getField() && "bad interval defaults");
      }
    }
 
    for (const auto &[ref, val] : ctx.intervalDFA->getFieldWriteResults()) {
      if (searchSet.erase(ref)) {
        fieldRanges[ref] = val.getInterval();
        assert(fieldRanges[ref].getField() == ctx.getField() && "bad interval defaults");
      }
    }
 
    // For all unfound refs, default to the entire range.
    for (const auto &ref : searchSet) {
      fieldRanges[ref] = Interval::Entire(ctx.getField());
    }
 
    // Sort the outputs since we assembled things out of order.
    llvm::sort(fieldRanges, [](auto a, auto b) { return std::get<0>(a) < std::get<0>(b); });
  };
 
  computeIntervalsImpl(structDef.getComputeFuncOp(), computeFieldRanges, computeSolverConstraints);
  computeIntervalsImpl(
      structDef.getConstrainFuncOp(), constrainFieldRanges, constrainSolverConstraints
  );
 
  return success();
}
 
void StructIntervals::print(mlir::raw_ostream &os, bool withConstraints, bool printCompute) const {
  auto writeIntervals =
      [&os, &withConstraints](
          const char *fnName, const llvm::MapVector<SourceRef, Interval> &fieldRanges,
          const llvm::SetVector<ExpressionValue> &solverConstraints, bool printName
      ) {
    int indent = 4;
    if (printName) {
      os << '\n';
      os.indent(indent) << fnName << " {";
      indent += 4;
    }
 
    if (fieldRanges.empty()) {
      os << "}\n";
      return;
    }
 
    for (auto &[ref, interval] : fieldRanges) {
      os << '\n';
      os.indent(indent) << ref << " in " << interval;
    }
 
    if (withConstraints) {
      os << "\n\n";
      os.indent(indent) << "Solver Constraints { ";
      if (solverConstraints.empty()) {
        os << "}\n";
      } else {
        for (const auto &e : solverConstraints) {
          os << '\n';
          os.indent(indent + 4);
          e.getExpr()->print(os);
        }
        os << '\n';
        os.indent(indent) << '}';
      }
    }
 
    if (printName) {
      os << '\n';
      os.indent(indent - 4) << '}';
    }
  };
 
  os << "StructIntervals { ";
  if (constrainFieldRanges.empty() && (!printCompute || computeFieldRanges.empty())) {
    os << "}\n";
    return;
  }
 
  if (printCompute) {
    writeIntervals(FUNC_NAME_COMPUTE, computeFieldRanges, computeSolverConstraints, printCompute);
  }
  writeIntervals(
      FUNC_NAME_CONSTRAIN, constrainFieldRanges, constrainSolverConstraints, printCompute
  );
 
  os << "\n}\n";
}
 
} // namespace llzk