}

// SplitFunc is the signature of the split function used to tokenize the
// input. The arguments are an initial substring of the remaining unprocessed
// data and a flag, atEOF, that reports whether the [Reader] has no more data
// to give. The return values are the number of bytes to advance the input
// and the next token to return to the user, if any, plus an error, if any.
//

    @Input
    @Optional
    public abstract ListProperty<String> getMethodIncludes();

    @Input
    @Optional
    public abstract ListProperty<String> getMethodExcludes();

    @Input
    @Optional
    public abstract ListProperty<String> getFieldIncludes();

    @Input
    @Optional
    public abstract ListProperty<String> getFieldExcludes();

    @Input
    @Optional

  }

  static void testSort(byte[] input, byte[] expected) {
    input = Arrays.copyOf(input, input.length);
    UnsignedBytes.sort(input);
    assertThat(input).isEqualTo(expected);
  }

  static void testSort(byte[] input, int from, int to, byte[] expected) {
    input = Arrays.copyOf(input, input.length);
    UnsignedBytes.sort(input, from, to);
    assertThat(input).isEqualTo(expected);
  }

  private static void testReverse(short[] input, short[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);
    Shorts.reverse(input);
    assertThat(input).isEqualTo(expectedOutput);
  }

  private static void testReverse(
      short[] input, int fromIndex, int toIndex, short[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);
    Shorts.reverse(input, fromIndex, toIndex);

        {
            "detail": [
                {
                    "type": "bool_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid boolean, unable to interpret input",
                    "input": "foobar",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

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

   *     Throwable.class} in particular.
   * @param fallback the {@link AsyncFunction} to be called if the input fails with the expected
   *     exception type. The function's argument is the input's exception. "The input's exception"
   *     means the cause of the {@link ExecutionException} thrown by {@code input.get()} or, if
   *     {@code get()} throws a different kind of exception, that exception itself.

  implicitly_broadcast_tensors.reserve(inputs.size());  // not tight
  for (const auto& input : inputs) {
    if (absl::holds_alternative<TFE_TensorHandle*>(input)) {
      if (operation_name == std::string("_EagerConst")) {
        // Non-parallel tensors from _EagerConst/tf.constant are implicitly
        // broadcast, i.e. set as the input to each parallel operation. This

  private static class ByteArrayDataInputStream implements ByteArrayDataInput {
    final DataInput input;

    ByteArrayDataInputStream(ByteArrayInputStream byteArrayInputStream) {
      this.input = new DataInputStream(byteArrayInputStream);
    }

    @Override
    public void readFully(byte b[]) {
      try {
        input.readFully(b);
      } catch (IOException e) {
        throw new IllegalStateException(e);
      }

    // below. Allocate enough space so that no reallocation happens, which will
    // make the pointers invalid.
    all_input_tensors.reserve(num_inputs);
    for (int i = 0; i < num_inputs; ++i) {
      if (input_tensors[i] == nullptr) continue;
      all_input_tensors.emplace_back();
      Tensor& input_tensor = all_input_tensors.back();
      status->status = TF_TensorToTensor(input_tensors[i], &input_tensor);