<modelVersion>4.0.0</modelVersion>
	<artifactId>fess-crawler</artifactId>
	<packaging>jar</packaging>
	<name>Fess Crawler</name>
	<description>Fess Crawler is a crawler framework.</description>
	<parent>
		<groupId>org.codelibs.fess</groupId>
		<artifactId>fess-crawler-parent</artifactId>
		<version>15.4.1-SNAPSHOT</version>

def main(user_id: str):
    return user_id

# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Приклад використання цієї моделі:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None

     */
    boolean isDfsDisabled();

    /**
     * Enable hack to make kerberos auth work with DFS sending short names
     *
     * This works by appending the domain name to the netbios short name and will fail horribly if this mapping is not
     * correct for your domain.
     *
     * Property {@code jcifs.smb.client.dfs.convertToFQDN} (boolean, default false)
     *

    // enclosed with same start
    assertEquals(range, range.span(Range.closed(4, 6)));

    // enclosed, interior
    assertEquals(range, range.span(Range.closed(5, 7)));

    // enclosed with same end
    assertEquals(range, range.span(Range.closed(6, 8)));

    // equal
    assertEquals(range, range.span(range));

    // enclosing with same start

{"index":{"_index":"fess_user.user","_id":"YWRtaW4="}}

    protected void assertSpecifyPurpose() {
    }

    public static class HpSpecification {
        protected List<String> columnList = new ArrayList<>();

        public void doColumn(String name) {
            columnList.add(name);
        }

        public void columnId() {
            doColumn("_id");
        }

        public void columnCrawlingInfoId() {
            doColumn("crawlingInfoId");
        }

 * and then reads the body into a byte array. This byte array is then set as the data
 * in the ResultData object.
 * </p>
 *
 * <p>
 * The getData method takes an AccessResultData object, checks if the transformer name matches,
 * and then returns the data as a ByteArrayInputStream.
 * </p>
 */
public class BinaryTransformer extends AbstractTransformer {

    /**
     * Constructs a new BinaryTransformer.
     */

{
    "properties": {
      "name": {
        "type": "keyword"
      },
      "target": {
        "type": "keyword"
      },
      "cronExpression": {
        "type": "keyword"
      },
      "scriptType": {
        "type": "keyword"
      },
      "scriptData": {
        "type": "keyword"
      },
      "crawler": {
        "type": "boolean"
      },
      "jobLogging": {
        "type": "boolean"
      },

        }

        /**
         * Storage state flags
         */
        public int state;
        /**
         * Server name hosting the storage
         */
        public String server_name;
        /**
         * Share name on the server
         */
        public String share_name;

        @Override
        public void encode(NdrBuffer _dst) throws NdrException {