Custom operation ID to be used by this *path operation*.

                By default, it is generated automatically.

                If you provide a custom operation ID, you need to make sure it is
                unique for the whole API.

                You can customize the
                operation ID generation with the parameter

  }
  std::vector<int64_t> dimvec(num_dims);
  for (int i = 0; i < num_dims; ++i) {
    dimvec[i] = static_cast<int64_t>(dims[i]);
  }

  // TODO(apassos) do we need to wrap the deallocator here to make sure to sync
  // the device?
  TF_ManagedBuffer* buf =
      new TF_ManagedBuffer(data, len, deallocator, deallocator_arg,
                           /*owns_memory=*/false);

  Run({{func_feed, Int32Tensor(2)}}, func_op, 2 /*+=*/ + 5 + 1);

  // Verify input, output, and subset of edges in fdef.
  // The subset of edges we verify is a chain between feed1 and output to
  // make sure that the correct output is picked.
  tensorflow::FunctionDef fdef;
  ASSERT_TRUE(GetFunctionDef(func_, &fdef));
  VerifyFDefInputs(fdef, M({{"feed1"}, {"feed2"}}));
  VerifyFDefOutputs(fdef, M({{"test_loop_exit"}}));

headers permit multiple values, like Guava's [Multimap](https://guava.dev/releases/23.0/api/docs/com/google/common/collect/Multimap.html). For example, it's legal and common for an HTTP response to supply multiple `Vary` headers. OkHttp's APIs attempt to make both cases comfortable.

When writing request headers, use `header(name, value)` to set the only occurrence of `name` to `value`. If there are existing values, they will be removed before the new value is added. Use `addHeader(name, value)`...

*/
// Following the UMD template https://github.com/umdjs/umd/blob/master/templates/returnExportsGlobal.js
(function (root, factory) {
    if (typeof define === 'function' && define.amd) {
        // AMD. Make globaly available as well
        define(['moment', 'jquery'], function (moment, jquery) {
            if (!jquery.fn) jquery.fn = {}; // webpack server rendering

  /** Returns {@code null} if unable to parse into a {@code byte[]}. */
  @CheckForNull
  private static byte[] ipStringToBytes(String ipStringParam, @Nullable Scope scope) {
    String ipString = ipStringParam;
    // Make a first pass to categorize the characters in this string.
    boolean hasColon = false;
    boolean hasDot = false;
    int percentIndex = -1;
    for (int i = 0; i < ipString.length(); i++) {

	if err == errConfigNotFound {
		err = errNoSuchGroup
	}
	return err
}

func (ies *IAMEtcdStore) watch(ctx context.Context, keyPath string) <-chan iamWatchEvent {
	ch := make(chan iamWatchEvent)

	// go routine to read events from the etcd watch channel and send them
	// down `ch`
	go func() {
		for {
		outerLoop:
			watchCh := ies.client.Watch(ctx,

	if err != nil {
		return nil, err
	}
	defer conn.Close()

	// Bind to the lookup user account
	if err = l.LDAP.LookupBind(conn); err != nil {
		return nil, err
	}

	res := make(map[string]set.StringSet, len(userDistNames))
	for _, userDistName := range userDistNames {
		username := userDNToUsernameMap[userDistName]
		groups, err := l.LDAP.SearchForUserGroups(conn, username, userDistName)

	case sqlFnDateDiff:
		return handleDateDiff(r, e.DateDiff, tableAlias)

	}

	// For all simple argument functions, we evaluate the arguments here
	argVals := make([]*Value, len(e.SFunc.ArgsList))
	for i, arg := range e.SFunc.ArgsList {
		argVals[i], err = arg.evalNode(r, tableAlias)
		if err != nil {
			return nil, err
		}
	}

	switch e.getFunctionName() {

      TFE_TensorHandleDevicePointer(tensor, status));
  if (TF_GetCode(status) != TF_OK) return nullptr;
  if (parallel_tensor->num_tensors() == 1) {
    // Copy-off for single-device tensors is allowed to make debugging dynamic
    // control flow easier.
    return TFE_TensorHandleCopySharingTensor(parallel_tensor->tensor(0),
                                             status);
  } else {
    TF_SetStatus(