Note that only some sub-projects in the Elasticsearch project are currently
fully-formatted. You can see a list of project that **are not**
automatically formatted in
[build-tools-internal/src/main/groovy/elasticsearch.formatting.gradle](build-tools-internal/src/main/groovy/elasticsearch.formatting.gradle).

### Importing the project into Eclipse

Elasticsearch builds using Gradle and Java 16. When importing into Eclipse you

   * The code in FinalizableReferenceQueue goes to considerable trouble to ensure that there are
   * no such references and the tests here check that that trouble has not been in vain.
   *
   * When we reference FinalizableReferenceQueue in this test, we are referencing a class that is
   * loaded by this test and that will obviously remain loaded for as long as the test is running.

    CountDownLatch computeSignal = new CountDownLatch(1);
    // tells the main thread when computation is pending
    CountDownLatch secondSignal = new CountDownLatch(1);
    // tells the main thread when the second get has started
    CountDownLatch thirdSignal = new CountDownLatch(1);
    // tells the main thread when the third get has started
    CountDownLatch fourthSignal = new CountDownLatch(1);

import org.codelibs.fess.crawler.container.StandardCrawlerContainer;
import org.codelibs.fess.crawler.transformer.impl.FileTransformer;

public class BasicCrawlerExample {
    public static void main(String[] args) throws Exception {
        // Create crawler container
        StandardCrawlerContainer container = new StandardCrawlerContainer();
        
        // Configure basic components

	)
)

        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.


        Guava's main yardstick for evaluating proposed features can be summed up as [utility times
        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).


        #### Utility: compare with alternatives

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

Sie können Binär-, Text- und JSON-Daten empfangen und senden.

## Es ausprobieren { #try-it }

Legen Sie Ihren Code in einer Datei `main.py` ab und führen Sie dann Ihre Anwendung aus:

<div class="termy">

```console
$ fastapi dev

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

---> 100%
```

</div>

**Note**: Make sure you put `"fastapi[standard]"` in quotes to ensure it works in all terminals.

## Example { #example }

### Create it { #create-it }

Create a file `main.py` with:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

	// Check if we can use USTAR prefix/suffix splitting.
	var namePrefix string
	if prefix, suffix, ok := splitUSTARPath(hdr.Name); ok {
		namePrefix, hdr.Name = prefix, suffix
	}

	// Pack the main header.
	var f formatter
	blk := tw.templateV7Plus(hdr, f.formatString, f.formatOctal)
	f.formatString(blk.toUSTAR().prefix(), namePrefix)
	blk.setFormat(FormatUSTAR)
	if f.err != nil {

            .sortedBy { VersionNumber.parse(it) }
    }

    private
    fun fetchNightlyBuildId(buildListUrl: String): String =
        Jsoup.connect(buildListUrl)
            .get()
            .select("main li a")
            .first()!!
            .text()

    private
    fun fetchNightlyVersion(mavenMetadataUrl: String): String =
        fetchVersionsFromMavenMetadata(mavenMetadataUrl)
            .single()