}
        return new SuggestIndexResponse(numberOfSuggestDocs, numberOfInputDocs, errors, System.currentTimeMillis() - start);
    }

    /**
     * Deletes old words based on a threshold date.
     * @param threshold The threshold date.
     * @return The SuggestDeleteResponse.
     */
    public SuggestDeleteResponse deleteOldWords(final ZonedDateTime threshold) {
        final long start = System.currentTimeMillis();

👆 ✍ 🐩 🐍 ⏮️ 🆎:

```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
```

👈 💪 ⤴️ ⚙️ 💖:

```Python

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;

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 java.util.regex.Matcher;
import java.util.regex.Pattern;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.io.CloseableUtil;

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр user_id с типом `str`
# и получаем поддержку редактора внутри функции
def main(user_id: str):
    return user_id


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

Это можно использовать так:

```Python

 * <li>Web crawling - crawls web sites and web content</li>
 * <li>File system crawling - crawls file systems and documents</li>
 * <li>Data store crawling - crawls databases and other data sources</li>
 * <li>Combined crawling - runs multiple crawling types simultaneously</li>
 * </ul>
 *
 * <p>Command line usage:
 * <pre>
 * java org.codelibs.fess.exec.Crawler [options...]
 *   -s, --sessionId sessionId     : Session ID for the crawling session

e.g.:
To download `2021/taxes.csv` archived in `financial.zip` and stored under a bucket named `company-data`, you can issue a GET request using the following path 'company-data/financial.zip/2021/taxes.csv`

## Contents properties

        final Map<String, Object> src = newHashMap();
        src.put("aaa", "aaa");
        src.put("bbb", new Date(0));
        final Map<String, Object> dest = newHashMap();
        BeanUtil.copyMapToMap(src, dest);
        assertThat(dest.get("aaa"), is((Object) "aaa"));
        assertThat(dest.get("bbb"), is((Object) new Date(0)));
    }

    /**
     * @throws Exception
     */
    @Test

    } // -- InputLocation merge( InputLocation, InputLocation, java.util.Collection )

    /**
     * Class StringFormatter.
     *
     * @version $Revision$ $Date$
     */
    public interface StringFormatter {

        // -----------/
        // - Methods -/
        // -----------/

        /**
         * Method toString.
         */

            try {
                final StatsObject data = statsCache.getIfPresent(key);
                if (data != null && data.decrement() <= 0) {
                    statsCache.invalidate(key);
                    final Long begin = data.remove(BEGIN_KEY);
                    if (begin != null) {
                        printStats(keyObj, data, begin, true);
                    }
                }