integrity sha512-GAj5FOq0Hd+RsCGVJxZuKaIDXDf3h6GQoNEjFgbLLI/trgtavwUbSnZ5pVfg27DVCaWjIohryS0JFwIJyT2cMg==

date-format@^4.0.14:
  version "4.0.14"
  resolved "https://registry.yarnpkg.com/date-format/-/date-format-4.0.14.tgz#7a8e584434fb169a521c8b7aa481f355810d9400"
  integrity sha512-39BOQLs9ZjKh0/patS9nrT8wc3ioX3/eA/zgbKNopnF2wCqJEoxywwwElATYvRsXdnOxA/OQeQoFZ3rFjVajhg==

import java.io.IOException;
import java.net.InetAddress;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.text.SimpleDateFormat;
import java.util.Arrays;
import java.util.Date;
import java.util.Properties;
import java.util.stream.Stream;
import java.util.zip.ZipEntry;
import java.util.zip.ZipOutputStream;

import org.apache.commons.text.StringEscapeUtils;

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


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

Sau đó có thể được sử dụng:

```Python

labels.search_result_sort_score_desc=by Score
labels.search_result_sort_filename_asc=by Filename (asc)
labels.search_result_sort_filename_desc=by Filename (desc)
labels.search_result_sort_created_asc=by Date (asc)
labels.search_result_sort_created_desc=by Date (desc)
labels.search_result_sort_content_length_asc=by Size (asc)
labels.search_result_sort_content_length_desc=by Size (desc)
labels.search_result_sort_last_modified_asc=by Last Modified (asc)

import java.io.File;
import java.io.PrintStream;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;

import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.List;

import org.codelibs.core.io.CloseableUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.curl.CurlResponse;
import org.codelibs.fess.Constants;

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.crawler.client.ftp;

import java.io.File;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;

import org.apache.ftpserver.FtpServer;
import org.apache.ftpserver.FtpServerFactory;

            }

            @Override
            public void setDateHeader(String name, long date) {
            }

            @Override
            public void addDateHeader(String name, long date) {
            }

            @Override
            public void setHeader(String name, String value) {
            }

            @Override

			}

			const testCallExport = (a, b) => {
				this._inst.exports.testExport0();
				return this._inst.exports.testExport(a, b);
			}

			const timeOrigin = Date.now() - performance.now();
			this.importObject = {
				_gotest: {
					add: (a, b) => a + b,
					callExport: testCallExport,
				},
				gojs: {