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

    /**
     * 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;

    /**

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

    }

    boolean isReplaced() {
        return blockProperty.replaced
    }

    @Override
    String getReplacement() {
        return blockProperty.replacement
    }

    PropertyDoc getBlockProperty() {
        return blockProperty
    }

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

1. Мы по-прежнему импортируем `field` из стандартных `dataclasses`.

2. `pydantic.dataclasses` — полностью совместимая замена (drop-in replacement) для `dataclasses`.

3. Dataclass `Author` содержит список dataclass `Item`.

     *
     * @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

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.

    builder.setSafeRange(Character.MIN_VALUE, '\uFFFD');
    // Unsafe characters are replaced with the Unicode replacement character.
    builder.setUnsafeReplacement("\uFFFD");

    /*
     * Except for \n, \t, and \r, all ASCII control characters are replaced with the Unicode
     * replacement character.
     *
     * Implementation note: An alternative to the following would be to make a map that simply

        while (matcher.find()) {
            final String key = matcher.group(2);
            String replacement = System.getProperty(key);
            if (replacement == null) {
                replacement = matcher.group(1);
            }
            matcher.appendReplacement(tunedText, replacement.replace("\\", "\\\\").replace("$", "\\$"));

        }
        matcher.appendTail(tunedText);

   * @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();
  }