{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

`FastAPI` es una clase de Python que proporciona toda la funcionalidad para tu API.

/// note | Detalles Técnicos

`FastAPI` es una clase que hereda directamente de `Starlette`.

Puedes usar toda la funcionalidad de <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> con `FastAPI` también.

///

 * limitations under the License.
 */

plugins {
  `kotlin-dsl`
}

repositories {
  mavenCentral()
}

dependencies {
  // TODO (https://github.com/square/okhttp/issues/8612) we will need a consistent version
  // 7.1.0 is used because it avoids this error
  // Could not create an instance of type aQute.bnd.gradle.BundleTaskExtension.

But remember that when you import `Query`, `Path`, `Cookie` and others from `fastapi`, those are actually functions that return special classes.

///

/// info

To declare cookies, you need to use `Cookie`, because otherwise the parameters would be interpreted as query parameters.

///

## Recap { #recap }

      entries[srcIndex] = 0;

      // also need to update whoever's "next" pointer was pointing to the last entry place
      int tableIndex = smearedHash(object) & mask;
      int next = CompactHashing.tableGet(table, tableIndex);
      int srcNext = srcIndex + 1;
      if (next == srcNext) {
        // we need to update the root pointer
        CompactHashing.tableSet(table, tableIndex, dstIndex + 1);

### 2. Run distributed MinIO

To start a distributed MinIO instance, you just need to pass drive locations as parameters to the minio server command. Then, you’ll need to run the same command on all the participating nodes.

**NOTE:**

    }
  }

  /**
   * Prepare for a potential trip through all of this call's network interceptors. This prepares to
   * find an exchange to carry the request.
   *
   * Note that an exchange will not be needed if the request is satisfied by the cache.
   *
   * @param newRoutePlanner true if this is not a retry and new routing can be performed.
   */
  fun enterNetworkInterceptorExchange(
    request: Request,

/// warning | Achtung

Dies ist ein mehr oder weniger fortgeschrittener Abschnitt. Wenn Sie gerade erst anfangen, können Sie ihn überspringen.

Sie benötigen nicht unbedingt OAuth2-Scopes, und Sie können die Authentifizierung und Autorisierung handhaben wie Sie möchten.

    private int testAddressInt = 0xC0A80101; // 192.168.1.1
    private byte[] testMacAddress = new byte[] { 0x00, 0x11, 0x22, 0x33, 0x44, 0x55 };

    @BeforeEach
    void setUp() {
        // Setup will be done per test as needed
    }

    @Test
    void testConstructorWithMinimalParameters() throws UnknownHostException {
        // Test the constructor with minimal parameters
        mockName = new Name(mockConfig, "TESTHOST", 0x20, null);

	}
	d, err = newWarmBackend(ctx, t, false)
	if err != nil {
		return nil, err
	}
	config.drivercache[tierName] = d
	return d, nil
}

// configReader returns a PutObjReader and ObjectOptions needed to save config
// using a PutObject API. PutObjReader encrypts json encoded tier configurations
// if KMS is enabled, otherwise simply yields the json encoded bytes as is.
// Similarly, ObjectOptions value depends on KMS' status.

(for example in **Kubernetes**). That way it will be able to **replicate the containers** in the **available machines** taking into account the amount of memory needed by them, and the amount available in the machines in the cluster.

If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are...