this.id = descriptor.getId().getId();
        this.endTime = finishEvent.getEndTime();
        this.result = toSerializableModel(finishEvent.getResult());
        this.resultClassName = result == null ? null : finishEvent.getResult().getClass().getName();
        this.failureMsg = finishEvent.getFailure() == null ? null : finishEvent.getFailure().toString();
    }

      llvm_unreachable("unhandled element type");
    }

    passthrough_op->getResult(0).setType(new_output_type);
    passthrough_op->setOperand(operand_index, dequantize_op.getInput());

    // Set the input of the dequantize to the result of the passthrough op.
    // And switch the order of the ops.
    dequantize_op->setOperand(0, passthrough_op->getResult(0));
    dequantize_op->moveAfter(passthrough_op);
    return success();
  }

//sys	Setlogin(name string) (err error)
//sysnb	Setpgid(pid int, pgid int) (err error)
//sys	Setpriority(which int, who int, prio int) (err error)
//sysnb	Setregid(rgid int, egid int) (err error)
//sysnb	Setreuid(ruid int, euid int) (err error)
//sysnb	setrlimit(which int, lim *Rlimit) (err error)
//sysnb	Setsid() (pid int, err error)
//sysnb	Settimeofday(tp *Timeval) (err error)
//sysnb	Setuid(uid int) (err error)

        if (cacheResult != null) {
            emitExecuteDeferredProgressDetails(work, context.getIdentity(), cacheResult);
            return Deferrable.completed(cacheResult.getResult());
        } else {
            return Deferrable.deferred(() -> {
                IdentityCacheResult<T> maybeExecutedResult = cache.get(
                    identity,

  ShapedType type;
  if (llvm::isa<TF::ReadVariableOp>(op)) {
    type = op->getResult(0).getType().cast<ShapedType>();
  } else if (llvm::isa<TF::AssignVariableOp>(op)) {
    type = op->getOperand(1).getType().cast<ShapedType>();
  } else if (llvm::isa<TF::VarHandleOp>(op)) {
    type = op->getResult(0)
               .getType()
               .cast<ShapedType>()
               .getElementType()

    // Insert quantize ops for every outputs and rewrite.
    for (int i = 0; i < op->getNumResults(); ++i) {
      auto result = op->getResult(i);
      auto result_type = result.getType();

      Value new_result = new_op->getResult(i);
      if (IsQI8Type(result_type) || IsQUI8Type(result_type)) {
        builder->setInsertionPoint(op);
        TFL::QuantizeOp quant_op = builder->create<TFL::QuantizeOp>(

    auto it =
        shared_name_to_arg_idx.insert({shared_name, block.getNumArguments()});
    if (it.second) {
      auto resource_type = op.getResult(0).getType();
      op.getResult(0).replaceAllUsesWith(
          block.addArgument(resource_type, op.getLoc()));
      AddEntryFunctionInput(
          absl::StrCat("hash_table_", it.first->getValue(), ":0"), target_func);

namespace mlir {
namespace TFL {

// For add/mul/div/sub and other broadcastable ops.
class ArithmeticCountUtilHelper {
 public:
  static bool GetFirstOutputCount(mlir::Operation* op, int64_t* count) {
    auto output = op->getResult(0);
    auto output_type =
        mlir::dyn_cast_or_null<mlir::RankedTensorType>(output.getType());
    if (!output_type || !output_type.hasStaticShape()) return false;

    *count = output_type.getNumElements();

        1 * phasedActionResultListener.onResult({
            it.getPhase() == PhasedActionResult.Phase.PROJECTS_LOADED &&
                it.getResult() == result1
        })
        1 * phasedActionResultListener.onResult({
            it.getPhase() == PhasedActionResult.Phase.BUILD_FINISHED &&
                it.getResult() == result2
        })
        0 * delegateEventConsumer.dispatch(_)
    }

  }

  @CollectionSize.Require(absent = ZERO)
  @MapFeature.Require(SUPPORTS_REMOVE)
  public void testRemoveAllPropagatesToGet() {
    Collection<V> getResult = multimap().get(k0());

    multimap().removeAll(k0());

    assertEmpty(getResult);
    expectMissing(e0());
  }

  @CollectionSize.Require(SEVERAL)
  @MapFeature.Require(SUPPORTS_REMOVE)
  public void testRemoveAllMultipleValues() {