{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[66:73] hl[71] *}

### Ejecutar la App

Puedes ejecutar la aplicación:

<div class="termy">

```console
$ fastapi dev main.py

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

</div>

    }

    @Override
    public int hashCode() {
        return items.hashCode();
    }

    // CHECKSTYLE_OFF: LineLength

    /**
     * Main to test version parsing and comparison.
     * <p>
     * To check how "1.2.7" compares to "1.2-SNAPSHOT", for example, you can issue

***NOTE***: Only original source code from you and other people that have signed the CLA can be accepted into the main repository.

### Contributing code

If you have improvements to TensorFlow, send us your pull requests! For those
just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

```

In a given setup, there are `n` MinIO instances talking to `m` KES servers but only `1` central KMS. The most simple setup consists of `1` MinIO server or cluster talking to `1` KMS via `1` KES server.

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

        this.namespace = namespace;
        return this;
    }

    /**
     * Sets the document expiration period in days.
     * Controls how long crawled documents remain in the search index.
     *
     * @param documentExpires the expiration period: -2 (system default), -1 (never expire),
     *                       0 or positive (expire after specified days)

        // When
        int bytesWritten = response.writeBytesWireFormat(buffer, 10);

        // Then
        assertEquals(0, bytesWritten);
        assertArrayEquals(originalBuffer, buffer); // Buffer should remain unchanged
    }

    @Test
    @DisplayName("Should handle null configuration gracefully")
    void testNullConfiguration() {
        // When - constructor accepts null config without throwing

The main tasks that you can do right now are:

* [Help others with questions in GitHub](#help-others-with-questions-in-github){.internal-link target=_blank} (see the section above).
* [Review Pull Requests](#review-pull-requests){.internal-link target=_blank} (see the section above).

Those two tasks are what **consume time the most**. That's the main work of maintaining FastAPI.

For a quick installation, docker-compose reference configs are also available on the [Keycloak GitHub](https://github.com/keycloak/keycloak-containers/tree/main/docker-compose-examples).

### Configure Keycloak Realm

- Go to Clients
  - Click on account
    - Settings
    - Change `Access Type` to `confidential`.
    - Save
  - Click on credentials tab

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

        assertEquals("MOCKNAME", name.name);
        assertEquals(0x20, name.hexCode);
        assertEquals("mock.scope", name.scope);
        assertEquals(0, name.srcHashCode); // Should remain 0
    }

    @Test
    void readWireFormat_withNonSpacePaddingCharacters_shouldPreserveLength() {
        // Test that non-space characters in padding are preserved in length calculation