#
map:{
    # example for implicit classification
    #; Flg = list:{
    #    ; map:{topComment=general boolean classification for every flg-column; codeType=Number}
    #    ; map:{code=1; name=True ; alias=Checked  ; comment=means yes; sisterCode=true}
    #    ; map:{code=0; name=False; alias=Unchecked; comment=means no ; sisterCode=false}
    #}
    # example for table classification
    #; MemberStatus = list:{

   * header to create the request URL.
   *
   * For HTTP proxy requests this will be either an absolute-form string like
   * `http://example.com/index.html` (HTTP proxy) or an authority-form string like
   * `example.com:443` (HTTPS proxy).
   *
   * For OPTIONS requests, this may be an asterisk, `*`.
   */
  public val target: String,
  /** A string like `HTTP/1.1` or `HTTP/2`. */

implementation 'org.codelibs:curl4j:x.y.z'
```

## Quick Start

### Synchronous request

```java
import org.codelibs.curl.Curl;
import org.codelibs.curl.CurlResponse;

try (CurlResponse response = Curl.get("https://example.com")
                                .param("q", "curl4j")
                                .header("Accept", "application/json")
                                .executeSync()) {

        String urlWithTabs = "http://example.com/path\twith\ttabs";
        StatsKeyObject key = new StatsKeyObject("test");
        key.setUrl(urlWithTabs);

        crawlerStatsHelper.begin(key);
        crawlerStatsHelper.done(key);

        String logMessage = localLogMsg.get();
        assertTrue(logMessage.contains("url:http://example.com/path with tabs"));

- Choice of erasure set size is automatic based on the number of drives available, let's say for example if there are 32 servers and 32 drives which is a total of 1024 drives. In this scenario 16 becomes the erasure set size. This is decided based on the greatest common divisor (GCD) of acceptable erasure set sizes ranging from *4 to 16*.

This includes, for example:

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:

* Convert the copied model to something that can be stored in your DB (for example, using the `jsonable_encoder`).
    * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`.
* Save the data to your DB.
* Return the updated model.

 * it returns a ByteArrayInputStream.
 *
 * <p>Example usage:
 * <pre>
 * {@code
 * // In-memory caching
 * byte[] data = "example data".getBytes();
 * try (ContentCache cache = new ContentCache(data)) {
 *     InputStream inputStream = cache.getInputStream();
 *     // Read from inputStream
 * }
 *
 * // File-based caching
 * File file = new File("example.txt");
 * try (ContentCache cache = new ContentCache(file)) {

## Créer une Issue

Vous pouvez <a href="https://github.com/fastapi/fastapi/issues/new/choose" class="external-link" target="_blank">créer une Issue</a> dans le dépôt GitHub, par exemple pour :

* Poser une question ou s'informer sur un problème.
* Suggérer une nouvelle fonctionnalité.

**Note** : si vous créez un problème, alors je vais vous demander d'aider aussi les autres. 😉

{* ../../docs_src/query_params/tutorial001.py hl[9] *}

La partie appelée requête (ou **query**) dans une URL est l'ensemble des paires clés-valeurs placées après le `?` , séparées par des `&`.

Par exemple, dans l'URL :

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

...les paramètres de requête sont :

* `skip` : avec une valeur de`0`
* `limit` : avec une valeur de `10`