labels.search_result_sort_filename_asc=par nom de fichier (asc)
labels.search_result_sort_filename_desc=par nom de fichier (desc)
labels.search_result_sort_created_asc=par date (asc)
labels.search_result_sort_created_desc=par date (desc)
labels.search_result_sort_content_length_asc=par taille (asc)
labels.search_result_sort_content_length_desc=par taille (desc)

				"application/vnd.nokia.landmark+wbxml",
				"application/vnd.nokia.landmark+xml",
				"application/vnd.nokia.landmarkcollection+xml",
				"application/vnd.nokia.n-gage.ac+xml",
				"application/vnd.nokia.n-gage.data",
				"application/vnd.nokia.n-gage.symbian.install",
				"application/vnd.nokia.ncd",
				"application/vnd.nokia.pcd+wbxml",
				"application/vnd.nokia.pcd+xml",
				"application/vnd.nokia.radio-preset",

OkHttp depends on [Okio][okio] for high-performance I/O and the [Kotlin standard library][kotlin]. Both are small libraries with strong backward-compatibility.

We highly recommend you keep OkHttp up-to-date. As with auto-updating web browsers, staying current
with HTTPS clients is an important defense against potential security problems. [We
track][tls_history] the dynamic TLS ecosystem and adjust OkHttp to improve connectivity and

OkHttp attempts to balance two competing concerns:

 * **Connectivity** to as many hosts as possible. That includes advanced hosts that run the latest versions of [boringssl](https://boringssl.googlesource.com/boringssl/) and less out of date hosts running older versions of [OpenSSL](https://www.openssl.org/).
 * **Security** of the connection. This includes verification of the remote webserver with certificates and the privacy of data exchanged with strong ciphers.

👆 ✍ 🐩 🐍 ⏮️ 🆎:

```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;

        }
        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();

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

//
//msgp:tuple VolInfo
type VolInfo struct {
	// Name of the volume.
	Name string

	// Date and time when the volume was created.
	Created time.Time

	// total VolInfo counts
	count int

	// Date and time when the volume was deleted, if Deleted
	Deleted time.Time
}

// FilesInfo represent a list of files, additionally