.map { (_, v) -> v.maxOrNull()!!.format() }

        // Limit to first and last release of each major version
        mainTestedVersions = testedVersions.map { VersionNumber.parse(it.gradleVersion().version) }
            .groupBy { it.major }
            .map { (_, v) -> listOf(v.maxOrNull()!!.format()) }.flatten()
    }

    private
    fun VersionNumber.format() =

        Hashing.hmacSha1(keyData).toString());

    assertEquals(
        "Hashing.hmacSha256(Key[algorithm=HmacSHA256, format=RAW])",
        Hashing.hmacSha256(SHA256_KEY).toString());
    assertEquals(
        "Hashing.hmacSha256(Key[algorithm=HmacSHA256, format=RAW])",
        Hashing.hmacSha256(keyData).toString());

    assertEquals(
        "Hashing.hmacSha512(Key[algorithm=HmacSHA512, format=RAW])",

`xl.meta` is a new self describing backend format used by MinIO to support AWS S3 compatible versioning.
This file is the source of truth for each `version` at rest. `xl.meta` is a msgpack file serialized from a
well defined data structure. To understand `xl.meta` here are the few things to start with

`xl.meta` carries first 8 bytes an XL header which describes the current format and the format version,

    }

    /**
     * Writes setup data in wire format
     * @param dst destination buffer
     * @param dstIndex starting index in destination buffer
     * @return number of bytes written
     */
    protected abstract int writeSetupWireFormat(byte[] dst, int dstIndex);

    /**
     * Writes parameters in wire format
     * @param dst destination buffer

      stream.writeObject(entry.getValue());
    }
  }

  /**
   * Populates a map by reading an input stream, as part of deserialization. See {@link #writeMap}
   * for the data format.
   */
  static <K extends @Nullable Object, V extends @Nullable Object> void populateMap(
      Map<K, V> map, ObjectInputStream stream) throws IOException, ClassNotFoundException {
    int size = stream.readInt();

    public String[] getValues() {
        return values;
    }

    /**
     * Returns a string representation of this RequestParameter.
     * The format includes the parameter name and its values in array format.
     *
     * @return a string representation of this object in the format "[name, [value1, value2, ...]]"
     */
    @Override
    public String toString() {
        return "[" + name + ", " + Arrays.toString(values) + "]";

                    type: integer
                    format: int64
                    example: 0
                  page_size:
                    type: integer
                    example: 20
                  page_number:
                    type: integer
                    example: 1
                  record_count:
                    type: integer
                    format: int64
                    example: 31625

Então, um objeto `datetime` teria que ser convertido em um `str` contendo os dados no <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">formato ISO</a>.

Da mesma forma, este banco de dados não receberia um modelo Pydantic (um objeto com atributos), apenas um `dict`.

Você pode usar a função `jsonable_encoder` para resolver isso.

 */
package org.codelibs.fess.opensearch.log.exbhv;

import java.time.Instant;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.time.format.DateTimeParseException;
import java.util.regex.Pattern;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

{
    "properties": {
      "createdAt": {
        "type": "date",
        "format": "date_optional_time"
      },
      "updatedAt": {
        "type": "date",
        "format": "date_optional_time"
      }
    }