0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnReplacement = cci("replacement", "replacement", null, null, String.class, "replacement", null, false,
            false, false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);

{
    "properties": {
      "regex": {
        "type": "keyword"
      },
      "replacement": {
        "type": "keyword"
      },
      "processType": {
        "type": "keyword"
      },
      "sortOrder": {
        "type": "integer"
      },
      "userAgent": {
        "type": "keyword"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },

    void omitForNearer(Artifact omitted, Artifact kept);

    void updateScope(Artifact artifact, String scope);

    @Deprecated
    void manageArtifact(Artifact artifact, Artifact replacement);

    // TODO Remove ResolutionListenerDM interface

    void omitForCycle(Artifact artifact);

    /**

    /**
     * The regular expression pattern to match request paths.
     */
    @Required
    @Size(max = 1000)
    public String regex;

    /**
     * The replacement pattern for matched paths.
     */
    @Size(max = 1000)
    public String replacement;

    /**
     * The processing type for path mapping.
     */
    @Required
    public String processType;

    /**

                                    </tr>
                                    <tr>
                                        <th><la:message key="labels.replacement"/></th>
                                        <td>${f:h(replacement)}<la:hidden
                                                property="replacement"/></td>
                                    </tr>
                                    <tr>

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. We still import `field` from standard `dataclasses`.

2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.

3. The `Author` dataclass includes a list of `Item` dataclasses.

     *
     * @return the number of characters from the unc path that were consumed by this referral
     */
    int getPathConsumed();

    /**
     * Get the replacement path for this referral
     *
     * @return the replacement path for this referal
     */
    String getPath();

    /**
     * Get the expiration time of this referral entry
     *
     * @return the expiration time of this entry

   * @throws IOException if an I/O error occurs
   * @deprecated Prefer {@code asCharSource(file, charset).read()}.
   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asCharSource(file, charset).read()",
      imports = "com.google.common.io.Files")
  public static String toString(File file, Charset charset) throws IOException {
    return asCharSource(file, charset).read();
  }

    /**
     * Loads a JSON resource file from the classpath with placeholder substitution.
     *
     * @param resourcePath The path to the resource file
     * @param substitutions A map of placeholder patterns to replacement values.
     *        Keys should be the literal placeholder strings (e.g., "${fess.dictionary.path}").
     * @return The content of the resource file with placeholders replaced

            "type" : "long"
          },
          "processType" : {
            "type" : "keyword"
          },
          "regex" : {
            "type" : "keyword"
          },
          "replacement" : {
            "type" : "keyword"
          },
          "sortOrder" : {
            "type" : "integer"
          },
          "updatedBy" : {
            "type" : "keyword"
          },