const TFE_OpAttrs* attributes, int expected_max_outputs,
    TF_Status* status) {
  absl::optional<std::vector<MaybeParallelTensorOwned>> result;
  // TODO(allenl): We should remove "TPU" from these op names at the very least,
  // or consider other ways of packing/unpacking parallel tensors.
  if (operation_name == std::string("TPUReplicatedInput")) {

            "schemas": {
                "UserOut": {
                    "title": "UserOut",
                    "required": IsOneOf(
                        ["username", "email", "full_name"],
                        # TODO: remove when deprecating Pydantic v1
                        ["username", "email"],
                    ),
                    "type": "object",
                    "properties": {

    submitting PRs to fix one typo, one warning,etc. We recommend fixing the
    same issue at the file level at least (e.g.: fix all typos in a file, fix
    all compiler warnings in a file, etc.)
*   Tests should follow the
    [testing best practices](https://www.tensorflow.org/community/contribute/tests)
    guide.

#### License

Include a license at the top of new files.

   * @throws IllegalArgumentException if {@code k} is negative
   * @since 8.0
   */
  public <E extends T> List<E> greatestOf(Iterable<E> iterable, int k) {
    // TODO(kevinb): see if delegation is hurting performance noticeably
    // TODO(kevinb): if we change this implementation, add full unit tests.
    return this.<E>reverse().leastOf(iterable, k);
  }

  /**

            "schemas": {
                "BaseUser": {
                    "title": "BaseUser",
                    "required": IsOneOf(
                        ["username", "email", "full_name"],
                        # TODO: remove when deprecating Pydantic v1
                        ["username", "email"],
                    ),
                    "type": "object",
                    "properties": {

func (c *ConfigWriter) PrintVersionSummary() error {
	// TODO
	return nil
}

// PrintPodRootCAFromDynamicSecretDump prints just pod's root ca from dynamic secret config dump to the ConfigWriter stdout
func (c *ConfigWriter) PrintPodRootCAFromDynamicSecretDump() (string, error) {
	// TODO
	return "", nil
}

func (c *ConfigWriter) tabwriter() *tabwriter.Writer {

                "User": {
                    "title": "User",
                    "required": IsOneOf(
                        ["username", "email", "full_name", "disabled"],
                        # TODO: remove when deprecating Pydantic v1
                        ["username"],
                    ),
                    "type": "object",
                    "properties": {

                    "loc": ["query", "token"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "token"],
                    "msg": "field required",

                                        "title": "Body",
                                    }
                                )
                                | IsDict(
                                    # TODO: remove when deprecating Pydantic v1
                                    {
                                        "$ref": "#/components/schemas/Body_create_file_files__post"
                                    }

   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number
   * of values that will be added, if that knowledge is readily available. It is better to guess a
   * value slightly too high than slightly too low. If the value is not exact, the {@link
   * ImmutableDoubleArray} that is built will very likely occupy more memory than strictly
   * necessary; to trim memory usage, build using {@code builder.build().trimmed()}.