a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license...

### Docker

Proporcionamos imágenes de Docker en [ghcr.io](https://github.com/orgs/codelibs/packages). También proporcionamos un archivo Docker Compose (YAML) en [este repositorio](https://github.com/codelibs/docker-fess/tree/master/compose).

### Interfaz de Usuario en el Navegador

- Interfaz de búsqueda: http://localhost:8080/

![Interfaz de Búsqueda](https://fess.codelibs.org/_images/fess_search_result1.png)

   * {@link #ignoreClasses} to exclude generated classes, such as the {@code AutoValue_Foo} classes
   * generated by <a href="https://github.com/google/auto/tree/master/value">AutoValue</a>.
   *
   * @since 19.0
   */
  public static final Predicate<Class<?>> UNDERSCORE_IN_NAME =
      (Class<?> c) -> c.getSimpleName().contains("_");

    }

    /**
     * Recursively scan the given directory, adding resources for each file encountered. Symlinks
     * which have already been traversed in the current tree path will be skipped to eliminate
     * cycles; otherwise symlinks are traversed.
     *
     * @param directory the root of the directory to scan

### Added
- cloud.google.com/go/dataproc/v2: v2.0.1
- github.com/danwinship/knftables: [v0.0.13](https://github.com/danwinship/knftables/tree/v0.0.13)
- github.com/distribution/reference: [v0.5.0](https://github.com/distribution/reference/tree/v0.5.0)
- github.com/google/s2a-go: [v0.1.7](https://github.com/google/s2a-go/tree/v0.1.7)
- google.golang.org/genproto/googleapis/bytestream: e85fd2c

### Changed

Although the hierarchical dependency injection system is very simple to define and use, it's still very powerful.

You can define dependencies that in turn can define dependencies themselves.

In the end, a hierarchical tree of dependencies is built, and the **Dependency Injection** system takes care of solving all these dependencies for you (and their sub-dependencies) and providing (injecting) the results at each step.

```

</div>

/// note

La commande `uvicorn main:app` fait référence à :

* `main` : le fichier `main.py` (le module Python).
* `app` : l'objet créé dans `main.py` via la ligne `app = FastAPI()`.
* `--reload` : l'option disant à uvicorn de redémarrer le serveur à chaque changement du code. À ne pas utiliser en production !

///

## Resources

*   [TensorFlow.org](https://www.tensorflow.org)
*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
*   [TensorFlow Blog](https://blog.tensorflow.org)

### Building a distribution from source

To create a Gradle distribution from the source tree you can run either of the following:

    ./gradlew :distributions-full:binDistributionZip

Following is a sample directory structure for MinIO server with TLS certificates.

```sh
$ mc tree --files ~/.minio
/home/user1/.minio
└─ certs
   ├─ CAs
   ├─ private.key
   └─ public.crt
```

You can provide a custom certs directory using `--certs-dir` command line option.

#### Credentials