outbuf := new(strings.Builder)
	maxLineLength := len(line1) + len(restData)/2
	l := NewReaderSize(inbuf, maxLineLength)
	line, isPrefix, err := l.ReadLine()
	if isPrefix || err != nil || string(line) != line1 {
		t.Errorf("bad result for first line: isPrefix=%v err=%v line=%q", isPrefix, err, string(line))
	}
	n, err := io.Copy(outbuf, l)
	if int(n) != len(restData) || err != nil {

    private final String input;

    private final String output;

    private String newInput;

    private String newOutput;

    public StemmerOverrideItem(final long id, final String input, final String output) {
        this.id = id;
        this.input = input;
        this.output = output;

        if (id == 0) {
            // create
            newInput = input;

    private final String[] inputs;

    private final String output;

    private String[] newInputs;

    private String newOutput;

    public CharMappingItem(final long id, final String[] inputs, final String output) {
        this.id = id;
        this.inputs = inputs;
        this.output = output == null ? null : output.replace("\n", " ");
        Arrays.sort(inputs);

        if (id == 0) {

    @Override
    public void write(File output, Map<String, Object> options, Model model) throws IOException {
        Objects.requireNonNull(output, "output cannot be null");
        Objects.requireNonNull(model, "model cannot be null");

        output.getParentFile().mkdirs();

        write(new XmlStreamWriter(Files.newOutputStream(output.toPath())), options, model);
    }

    @Override

    @Override
    public void write(File output, Map<String, Object> options, Settings settings) throws IOException {
        Objects.requireNonNull(output, "output cannot be null");
        Objects.requireNonNull(settings, "settings cannot be null");

        output.getParentFile().mkdirs();

        write(Files.newOutputStream(output.toPath()), options, settings);
    }

    @Override

Because of that, the JSON Schema for a model can be different depending on if it's used for **input or output**:

* for **input** the `description` will **not be required**
* for **output** it will be **required** (and possibly `None`, or in JSON terms, `null`)

### Model for Output in Docs

You can check the output model in the docs too, **both** `name` and `description` are marked as **required** with a **red asterisk**:

     * Adds a name/value pair to the formatted output in {@code name=value} format.
     *
     * @since 18.0 (since 11.0 as {@code Objects.ToStringHelper.add()}).
     */
    @CanIgnoreReturnValue
    public ToStringHelper add(String name, boolean value) {
      return addUnconditionalHolder(name, String.valueOf(value));
    }

    /**
     * Adds a name/value pair to the formatted output in {@code name=value} format.
     *

     * @throws IOException If the model could not be serialized.
     */
    void write(OutputStream output, Map<String, Object> options, Model model) throws IOException;

    /**
     * Writes the supplied model to the specified file. Any non-existing parent directories of the output file will be
     * created automatically.
     *
     * @param output The file to serialize the model to, must not be {@code null}.

 */
@Deprecated(since = "4.0.0")
public interface SettingsWriter {

    /**
     * Writes the supplied settings to the specified file. Any non-existing parent directories of the output file will
     * be created automatically.
     *
     * @param output The file to serialize the settings to, must not be {@code null}.
     * @param options The options to use for serialization, may be {@code null} to use the default values.

  int num_dims_out = TF_NumDims(model_out_tensor);
  TF_DeleteTensor(model_out_tensor);

  // If the output is a scalar, then return the scalar output
  if (num_dims_out == 0) {
    outputs[0] = model_out.release();
    return absl::OkStatus();
  }

  // Else, reduce sum the output to get a scalar

  // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1].
  AbstractTensorHandlePtr sum_dims;