"search": ["testSearch"],
        "options": ["testOption"]
    },
    "prevResult": {
        "cniversion": "%s",
        "interfaces": [
            {
                "name": "%s",
                "sandbox": "%s"
            }
        ],
        "ips": [
            {
                "version": "4",
                "address": "10.0.0.2/24",
                "gateway": "10.0.0.1",
                "interface": 0

	}
	return 0, &DNSError{Err: "unknown network", Name: errNetwork + "/" + service}
}

// ipVersion returns the provided network's IP version: '4', '6' or 0
// if network does not end in a '4' or '6' byte.
func ipVersion(network string) byte {
	if network == "" {
		return 0
	}
	n := network[len(network)-1]
	if n != '4' && n != '6' {
		n = 0
	}
	return n

  pass_config.unfold_batch_matmul = toco_flags.unfold_batchmatmul();
  pass_config.lower_tensor_list_ops = toco_flags.lower_tensor_list_ops();
  // Disable the unfolding of the 16x16 TF::BatchMatMulOp to avoid the
  // conversion to an unsupported 16x16 TFL::FullyConnectedOp.
  if (toco_flags.inference_type() == toco::IODataType::QUANTIZED_INT16) {
    pass_config.unfold_batch_matmul = false;
  }
  pass_config.unfold_large_splat_constant =

//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of

   *
   * @param b the instance to convert; will never be null
   * @return the converted instance; <b>must not</b> be null
   * @throws UnsupportedOperationException if backward conversion is not implemented; this should be
   *     very rare. Note that if backward conversion is not only unimplemented but
   *     unimplement<i>able</i> (for example, consider a {@code Converter<Chicken, ChickenNugget>}),

// usage, and minimal GC pressure. It allocates events in batches so that even
// though we have to load the entire trace into memory, the conversion process
// shouldn't result in a doubling of memory usage, even if all converted events
// are kept alive, as we free batches once we're done with them.
//
// The conversion process is lossless.

package trace

import (
	"errors"
	"fmt"
	"internal/trace/event"
	"internal/trace/event/go122"

		return r.goLookupIP(ctx, network, name, order, conf)
	}

	// TODO(bradfitz,brainman): use ctx more. See TODO below.

	var family int32 = syscall.AF_UNSPEC
	switch ipVersion(network) {
	case '4':
		family = syscall.AF_INET
	case '6':
		family = syscall.AF_INET6
	}

	getaddr := func() ([]IPAddr, error) {
		if err := acquireThread(ctx); err != nil {

    if (failed(getTypeConverter()->convertTypes(op->getResultTypes(),
                                                new_results)))
      return failure();

    // Update the regions. The dialect conversion framework wants new regions to
    // be created and updated, rather than updating the old op. Thus we use an
    // OperationState so we can add regions to the new up.

  return signatures


def _restore_output_tensor_names(
    graph_def: graph_pb2.GraphDef,
) -> graph_pb2.GraphDef:
  """Restores the output tensor names of the converted model.

  During the conversion, the output tensor names of the original model are
  embedded in the `tf_saved_model.index_path` attribute of the RetVal nodes and
  might become the name of Retval nodes as well (with an index suffix if there

   *
   * @param b the instance to convert; will never be null
   * @return the converted instance; <b>must not</b> be null
   * @throws UnsupportedOperationException if backward conversion is not implemented; this should be
   *     very rare. Note that if backward conversion is not only unimplemented but
   *     unimplement<i>able</i> (for example, consider a {@code Converter<Chicken, ChickenNugget>}),