logger.debug("Set suggest settings. {} key: {} value: {}", settingsIndexName, key, value);
        }
        try {
            client.prepareUpdate().setIndex(settingsIndexName).setId(settingsId).setDocAsUpsert(true).setDoc(key, value)
                    .setRetryOnConflict(5).execute().actionGet(getIndexTimeout());
            client.admin().indices().prepareRefresh().setIndices(settingsIndexName).execute().actionGet(getIndicesTimeout());

 */

package org.gradle.workers.fixtures;

import org.gradle.api.Named;

public class TestManagedTypes {
    public interface ManagedThing {
        String getFoo();
        void setFoo(String foo);
    }

    public interface ImmutableManagedThing extends Named {
    }

  auto collectOps = [this](Operation *op) {
    const auto &op_name = op->getName().getStringRef().str();
    if (absl::StartsWith(op_name, "tf.") || absl::StartsWith(op_name, "tfl.")) {
      loc_to_name_.emplace(op->getLoc(), op_name);
    }
  };

  for (auto &region : module->getRegions()) {
    region.walk(collectOps);
  }

  pass_name_ = extract_pass_name(pass->getName().str());
  error_collector_->Clear();
}

    auto new_reshape_type = RankedTensorType::get(new_reshape_dims, el_ty);
    ReshapeOp new_reshape =
        rewriter.create<ReshapeOp>(new_reshape_shape.getLoc(), new_reshape_type,
                                   op.getInput(), new_reshape_shape);
    TF::ConstOp new_broadcast_shape =
        GetI64ConstantTensor(rewriter, reshape_shape, op.getLoc());

  for (Value result : new_launch_op_results)
    new_launch_op_results_types.push_back(result.getType());

  auto new_launch_op = builder.create<tf_device::LaunchOp>(
      old_launch_op->getLoc(), old_launch_op->getDeviceAttr(),
      /*result_types=*/new_launch_op_results_types);

  new_launch_op.getBody().takeBody(old_launch_op->getBody());

    for (int i = 0; i < op->getNumOperands(); i++) {
      Value input = op->getOperand(i);
      if (getElementTypeOrSelf(input).isBF16()) {
        Value f32_cast = rewriter.create<TF::CastOp>(
            op->getLoc(),
            CloneTypeWithNewElementType(input.getType(), rewriter.getF32Type()),
            input);
        op->setOperand(i, f32_cast);
      }
    }

    // Casts BF16 outputs of the operation.

    static String setId(String id) {
        return "id = \"${id}\"\n"
    }

    static String setFooBar(String bar) {
        return setFoo(setBar(bar))
    }

    static String setBar(String bar) {
        return "bar = \"${bar}\"\n"
    }

    static String setFoo(String contents) {
        return "foo {\n${contents}\n}"
    }

    static String setAll(String id, String bar) {

def CreateTFReadVariableOpFromResourceHandle : NativeCodeCall<
    "$_builder.create<TF::ReadVariableOp>("
    "$0.getLoc(), GetResourceSubtype($1), $1)">;

def CreateTFSelectOp: NativeCodeCall<
    "$_builder.create<TF::SelectOp>("
    "$0.getLoc(), $3.getType(), $1, $2, $3)">;

def ConstAttrIfThenElse: NativeCodeCall<
    "($0).getValue() ? ($1) : ($2)">;

  // When creating the new const op, use a fused location that combines the
  // original const and the qbarrier that led to the quantization.
  auto fusedLoc = rewriter.getFusedLoc(
      {qbarrier.getArg().getDefiningOp()->getLoc(), qbarrier.getLoc()});
  auto newConstOp = rewriter.create<arith::ConstantOp>(
      fusedLoc, newConstValueType, cast<TypedAttr>(newConstValue));
  rewriter.replaceOpWithNewOp<StorageCastOp>(qbarrier, qbarrier.getType(),

		// Make it look the like faulting PC called sigpanic.
		c.set_ra(uint64(pc))
	}

	// In case we are panicking from external C code
	c.set_gp(uint64(uintptr(unsafe.Pointer(gp))))
	c.set_pc(uint64(abi.FuncPCABIInternal(sigpanic)))
}

func (c *sigctxt) pushCall(targetPC, resumePC uintptr) {
	// Push the LR to stack, as we'll clobber it in order to
	// push the call. The function being pushed is responsible