return newHasher(8).putLong(input).hash();
  }

  @Override
  public HashCode hashBytes(byte[] input) {
    return hashBytes(input, 0, input.length);
  }

  @Override
  public HashCode hashBytes(byte[] input, int off, int len) {
    checkPositionIndexes(off, off + len, input.length);
    return newHasher(len).putBytes(input, off, len).hash();
  }

  @Override
  public HashCode hashBytes(ByteBuffer input) {

    for (int shift = 0; i < len; i++, shift += 8) {
      k1 ^= toUnsignedInt(input[off + i]) << shift;
    }
    h1 ^= mixK1(k1);
    return fmix(h1, len);
  }

  private static int getIntLittleEndian(byte[] input, int offset) {
    return Ints.fromBytes(input[offset + 3], input[offset + 2], input[offset + 1], input[offset]);
  }

  private static int mixK1(int k1) {
    k1 *= C1;

    "input": "aa--",
    "output": "aa--"
  },
  {
    "input": "a†--",
    "output": "xn--a---kp0a"
  },
  {
    "input": "ab--c",
    "output": "ab--c"
  },
  {
    "comment": "Label with leading hyphen",
    "input": "-x",
    "output": "-x"
  },
  {
    "input": "-†",
    "output": "xn----xhn"
  },
  {
    "input": "-x.xn--zca",
    "output": "-x.xn--zca"

    /**
     * Builds parameter maps for search initialization, creating both query strings
     * and form inputs for the given parameters.
     *
     * @param paramMap the parameter map to process
     * @param queryKey the key for storing query string parameters
     * @param formKey the key for storing form input parameters
     */

    if (yStats.count() == 0) {
      sumOfProductsOfDeltas = values.sumOfProductsOfDeltas();
    } else {
      // This is a generalized version of the calculation in add(double, double) above. Note that
      // non-finite inputs will have sumOfProductsOfDeltas = NaN, so non-finite values will result
      // in NaN naturally.
      sumOfProductsOfDeltas +=
          values.sumOfProductsOfDeltas()
              + (values.xStats().mean() - xStats.mean())

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input { #model-for-input }

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

public class DefaultSettingsReader implements SettingsReader {

    @Override
    public Settings read(File input, Map<String, ?> options) throws IOException {
        Objects.requireNonNull(input, "input cannot be null");

        try (InputStream in = Files.newInputStream(input.toPath())) {
            InputSource source = InputSource.of(input.toString());
            return new Settings(new SettingsStaxReader().read(in, isStrict(options), source));

    @Override
    public Metadata read(File input, Map<String, ?> options) throws IOException {
        Objects.requireNonNull(input, "input cannot be null");

        return read(Files.newInputStream(input.toPath()), options);
    }

    @Override
    public Metadata read(Reader input, Map<String, ?> options) throws IOException {
        Objects.requireNonNull(input, "input cannot be null");

        try (Reader in = input) {

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package lambda

import (
	"github.com/minio/minio/internal/config"
	"github.com/minio/minio/internal/event/target"
)

// Help template inputs for all lambda targets
var (
	HelpWebhook = config.HelpKVS{
		config.HelpKV{
			Key:         target.WebhookEndpoint,
			Description: "webhook server endpoint e.g. http://localhost:8080/minio/lambda",

  }

  @Override
  public HashCode hashInt(int input) {
    return hashBytes(ByteBuffer.allocate(4).order(ByteOrder.LITTLE_ENDIAN).putInt(input).array());
  }

  @Override
  public HashCode hashLong(long input) {
    return hashBytes(ByteBuffer.allocate(8).order(ByteOrder.LITTLE_ENDIAN).putLong(input).array());
  }

  @Override
  public HashCode hashUnencodedChars(CharSequence input) {
    int len = input.length();