double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;
  // int key = (int) dist.inverse(random.nextDouble());

## Faites appel à `uvicorn`

Dans votre application FastAPI, importez et exécutez directement `uvicorn` :

{* ../../docs_src/debugging/tutorial001.py hl[1,15] *}

### À propos de `__name__ == "__main__"`

Le but principal de `__name__ == "__main__"` est d'avoir du code qui est exécuté lorsque votre fichier est appelé avec :

<div class="termy">

```console
$ python myapp.py
```

        assertEquals(14 + nameBytes.length, request.size());

        // Test encoding
        byte[] buffer = new byte[200];
        int bytesEncoded = request.encode(buffer, 0);

        // Verify proper encoding
        assertEquals(14 + nameBytes.length, bytesEncoded);
        assertEquals(30000L, SMBUtil.readInt8(buffer, 0));
        assertEquals(nameBytes.length, SMBUtil.readInt4(buffer, 8));

import org.codelibs.fess.entity.SearchRequestParams;
import org.codelibs.fess.helper.RelatedQueryHelper;
import org.codelibs.fess.mylasta.direction.FessConfig;

/**
 * A utility class for building query strings with proper escaping and parameters.
 * This class provides methods to construct search queries from various parameters,
 * handle special characters, and format the final query string for search operations.
 */

- **`org.codelibs.curl.CurlRequest`**: Fluent request builder supporting parameters, headers, body content, SSL config, proxies, timeouts, and caching
- **`org.codelibs.curl.CurlResponse`**: Response wrapper implementing `Closeable` for proper resource management
- **`org.codelibs.curl.CurlException`**: Unchecked exception for HTTP errors

### I/O Layer

    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;
  // int key = (int) dist.inverse(random.nextDouble());

Por lo tanto, podrías añadir datos adicionales al esquema generado automáticamente.

Por ejemplo, podrías decidir leer y validar el request con tu propio código, sin usar las funcionalidades automáticas de FastAPI con Pydantic, pero aún podrías querer definir el request en el esquema de OpenAPI.

Podrías hacer eso con `openapi_extra`:

jcifs.smb.client.useUnicode=true
jcifs.smb.client.maxMpxCount=10
```

### Usage with Properties

```java
Properties props = new Properties();
props.setProperty("jcifs.smb.client.domain", "MYDOMAIN");
props.setProperty("jcifs.smb.client.useLeases", "true");

Configuration config = new PropertyConfiguration(props);
CIFSContext context = new BaseContext(config);
```

## Development

### Build Commands
```bash

E como o schema gerado é do padrão <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md" class="external-link" target="_blank">OpenAPI</a>, existem muitas ferramentas compatíveis.

Por causa disso, o próprio **FastAPI** fornece uma documentação alternativa da API (usando ReDoc), que você pode acessar em <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>:

  }

  public void testBase64LenientPadding() {
    testDecodes(base64(), "Zg", "f");
    testDecodes(base64(), "Zg=", "f");
    testDecodes(base64(), "Zg==", "f"); // proper padding length
    testDecodes(base64(), "Zg===", "f");
    testDecodes(base64(), "Zg====", "f");
  }

  public void testBase64InvalidDecodings() {
    // These contain bytes not in the decodabet.