/**
     * 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;

    /**

     *
     * @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

{* ../../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`.

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

labels.duplicateHostName=Nom d'hôte en double
labels.pageNumber=Numéro de page
labels.password=Mot de passe
labels.paths=Chemins
labels.port=Port
labels.regex=Expression régulière
labels.regularName=Nom régulier
labels.replacement=Remplacement
labels.sessionId=ID de session
labels.sortOrder=Ordre de tri
labels.updatedBy=Mis à jour par
labels.updatedTime=Date de mise à jour
labels.urls=URL
labels.userAgent=Agent utilisateur

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.

                outputFile.delete();
            }
        }
    }

    // Test variable replacement logic without triggering component dependencies
    @Test
    public void test_variable_replacement_logic() throws Exception {
        // Test the variable replacement logic directly
        final List<String> commands =

        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();
  }

@GwtCompatible
abstract class CommonMatcher {
  public abstract boolean matches();

  public abstract boolean find();

  public abstract boolean find(int index);

  public abstract String replaceAll(String replacement);

  public abstract int end();

  public abstract int start();