<< op->getAttrOfType<mlir::IntegerAttr>("op_key").getInt() << ") device("
    << op->getAttr("device") << ") " << op->getAttr("op_name") << "()";

  fallback_common::PrintExecuteOpCommon(p, op);
  fallback_common::PrintExecuteOpFuncAttribute(p, op);

  p << " num_args(" << op->getAttrOfType<mlir::IntegerAttr>("num_args").getInt()
    << ')';
}

void ExecuteOp::print(OpAsmPrinter &p) {

    for (auto op : require_device_ordinal_ops) {
      if (op->getAttrOfType<IntegerAttr>(kDeviceOrdinalAttr).getInt() == -1) {
        OpBuilder builder(op);
        int device_ordinal =
            op->getAttrOfType<IntegerAttr>(kReplicaIdAttr).getInt() %
            device_num;
        op->setAttr(kDeviceOrdinalAttr,
                    builder.getI64IntegerAttr(device_ordinal));
      }
    }
  }
}

          permutation_and_shape.shape.getRank() - inserted_window_dims.size();
      int64_t num_updates = indices_type.getDimSize(0);
      // For TF::TensorScatterUpdateOp, `indices` must have at least 2 axes:
      // `(num_updates, index_depth)`. Reshape indices and updates if necessary.
      if (std::is_same<TfOp, TF::TensorScatterUpdateOp>::value &&
          indices_type.getRank() == 1 && updates_type.getRank() == 1 &&

    // NOTE: These methods are duplicated here because Eclipse treats methods implemented in the deprecated
    // AbstractTask as also deprecated in DefaultTask.

    @Override
    public AntBuilder getAnt() {
        return super.getAnt();
    }

    @Override
    public Project getProject() {
        return super.getProject();
    }

    @Override
    public String getName() {
        return super.getName();
    }

    . "$FESS_ENV_FILE"
fi

case "$1" in

    # Debian ####################################################
    install|upgrade)

        # Create fess group if not existing
        if ! getent group "$FESS_GROUP" > /dev/null 2>&1 ; then
            echo -n "Creating $FESS_GROUP group..."
            addgroup --quiet --system "$FESS_GROUP"
            echo " OK"
        fi

        String response = checkGetMethod(searchBody, "").asString();
        final int total = JsonPath.from(response).getInt("response.total");
        final List<Map<String, String>> dicts = JsonPath.from(response).getList("response.settings");
        final int status = JsonPath.from(response).getInt("response.status");
        assertEquals(total, dicts.size());
        assertEquals(0, status);
    }

    @Override

    // before broadcasting.
    if (operand_type.getRank() < output_type.getRank()) {
      input = InsertExpandDimsOp(op, rewriter, input, output_type.getRank());
    }

    SmallVector<int32_t> broadcast_shape =
        CastI64ArrayToI32(output_type.getShape()).value();
    TensorType broadcast_shape_type =
        output_type.cloneWith({output_type.getRank()}, rewriter.getI32Type());
    auto broadcast_shape_attr =

  }

  @Override
  @ParametricNullness
  public E getFirst() {
    return delegate().getFirst();
  }

  @Override
  @ParametricNullness
  public E getLast() {
    return delegate().getLast();
  }

  @CanIgnoreReturnValue // TODO(cpovirk): Consider removing this?
  @Override
  public boolean offerFirst(@ParametricNullness E e) {
    return delegate().offerFirst(e);
  }

	err := f.GenerateStruct(&opts)
	if err != nil {
		return 0
	}
	opts.MeshHolder = meshHolder
	c := aggregate.NewController(opts)

	iterations, err := f.GetInt()
	if err != nil {
		return 0
	}
	for i := 0; i < iterations%30; i++ {
		opType, err := f.GetInt()
		if err != nil {
			return 0
		}
		switch ops[opType%maxOps] {
		case "AddRegistry":
			err = runAddRegistry(f, c)
		case "DeleteRegistry":

import java.util.Collection;
import java.util.Collections;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;

import static com.google.common.collect.Iterators.getLast;

/**
 * Tests using this runner and its subtypes will run by default the first version specified.
 * <p>
 * The following command line flag is used to determine the versions to run:
 * <ul>