///

---

Dans ce scénario de burgers parallèles, vous êtes un ordinateur / programme 🤖 avec deux processeurs (vous et votre crush 😍) attendant 🕙 à deux et dédiant votre attention 🕙 à "attendre devant le comptoir" pour une longue durée.

Le fast-food a 8 processeurs (serveurs/cuisiniers) 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳. Alors que le fast-food de burgers concurrents en avait 2 (un serveur et un cuisinier).

/**
 * Provides tools for processing Maven dependency injection annotations at compile time.
 * <p>
 * This package contains annotation processors that generate metadata files used by
 * the Maven dependency injection system. The main component is the {@link org.apache.maven.di.tool.DiIndexProcessor},
 * which processes classes annotated with {@link org.apache.maven.api.di.Named} and creates an index file

            final Set<String> processedUrls = new HashSet<>();
            requestQueue.offer(new CrawlRequest(url, 0));
            while (!requestQueue.isEmpty() && (maxAccessCount < 0 || counter < maxAccessCount)) {
                final CrawlRequest crawlRequest = requestQueue.poll();
                if ((maxDepth != -1 && crawlRequest.getDepth() > maxDepth) || processedUrls.contains(crawlRequest.getUrl())) {

```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7

COPY ./app /app/app
```

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

        includeFilter.processUrl("http://example.com/");

        assertEquals(1, includeFilter.cachedIncludeSet.size());
        assertEquals(0, includeFilter.cachedExcludeSet.size());
        assertEquals("http://example.com/.*", includeFilter.cachedIncludeSet.toArray()[0]);

        includeFilter.processUrl("https://test.com");

            processDefault(objs);
            break;
        }
    }

    /**
     * Processes default log events (no specific handling).
     *
     * @param objs the log objects
     */
    protected void processDefault(final Object... objs) {
    }

    /**
     * Processes system error log events.
     *
     * @param objs the log objects (should contain a Throwable)
     */

* Others...

## Replication - Processes and Memory { #replication-processes-and-memory }

With a FastAPI application, using a server program like the `fastapi` command that runs Uvicorn, running it once in **one process** can serve multiple clients concurrently.

But in many cases, you will want to run several worker processes at the same time.

### Multiple Processes - Workers { #multiple-processes-workers }

func (cs *callbacks) Create() *processor {
	return cs.processors["create"]
}

func (cs *callbacks) Query() *processor {
	return cs.processors["query"]
}

func (cs *callbacks) Update() *processor {
	return cs.processors["update"]
}

func (cs *callbacks) Delete() *processor {
	return cs.processors["delete"]
}

func (cs *callbacks) Row() *processor {
	return cs.processors["row"]
}

- Worker processes. Long-running daemon processes that the Gradle daemon starts to run specific kinds of work, such as compilation or test execution.

The diagram below shows the relationships between the different processes:

```mermaid
    graph LR
        
        gradle["Gradle CLI client"]
    

        assertEquals(3, transformer.getState());
        List<String> processedUrls = transformer.getProcessedUrls();
        assertEquals(3, processedUrls.size());
        assertEquals("http://example1.com", processedUrls.get(0));
        assertEquals("http://example2.com", processedUrls.get(1));
        assertEquals("http://example3.com", processedUrls.get(2));

        // Reset and verify
        transformer.reset();