You can also review already merged translation PRs. To do this, go to the [closed pull requests](https://github.com/fastapi/fastapi/pulls?q=is%3Apr+is%3Aclosed) and filter by your language label. For example, for Spanish, you can use [`lang-es`](https://github.com/fastapi/fastapi/pulls?q=is%3Apr+is%3Aclosed+label%3Alang-es).

// can correspond to the data contained in another dimension in on-host
// representation. The dimensions are indexed using the standard TensorFlow
// major-to-minor order (slowest varying dimension first),
// not the XLA's minor-to-major order.
// On-device dimensions can be padded. TFE_TensorDebugInfoOnDeviceDim returns
// the number of elements in a dimension after padding.

Par exemple, il existe une [image Python officielle](https://hub.docker.com/_/python).

Et il existe beaucoup d'autres images pour différentes choses comme des bases de données, par exemple :

* [PostgreSQL](https://hub.docker.com/_/postgres)
* [MySQL](https://hub.docker.com/_/mysql)
* [MongoDB](https://hub.docker.com/_/mongo)

  fun `unterminated edit is reverted on cache close`() {
    val editor = cache.edit("k1")!!
    editor.setString(0, "AB")
    editor.setString(1, "C")
    cache.close()
    val expected = if (windows) arrayOf("DIRTY k1") else arrayOf("DIRTY k1", "REMOVE k1")
    assertJournalEquals(*expected)
    editor.commit()
    assertJournalEquals(*expected) // 'REMOVE k1' not written because journal is closed.
  }

  @Test

func (r *Reader) Checksum() *Checksum {
	if !r.contentHash.Type.IsSet() || !r.contentHash.Valid() {
		return nil
	}
	return &r.contentHash
}

var _ io.Closer = (*Reader)(nil) // compiler check

// Close and release resources.

C'est parce que nous voulons inclure leurs *chemins d'accès* dans le schéma OpenAPI et les interfaces utilisateur.

Comme nous ne pouvons pas simplement les isoler et les « monter » indépendamment du reste, les *chemins d'accès* sont « clonés » (recréés), pas inclus directement.

///

## Configurer l'`entrypoint` dans `pyproject.toml` { #configure-the-entrypoint-in-pyproject-toml }

En resumen, declaras **una vez** los tipos de parámetros, body, etc. como parámetros de función.

Lo haces con tipos estándar modernos de Python.

No tienes que aprender una nueva sintaxis, los métodos o clases de un paquete específico, etc.

Solo **Python** estándar.

Por ejemplo, para un `int`:

```Python
item_id: int
```

o para un modelo `Item` más complejo:

```Python
item: Item

    init {
      val source = snapshot.getSource(ENTRY_BODY)
      bodySource =
        object : ForwardingSource(source) {
          @Throws(IOException::class)
          override fun close() {
            snapshot.close()
            super.close()
          }
        }.buffer()
    }

    override fun contentType(): MediaType? = contentType?.toMediaTypeOrNull()

 *           ...log a message about how nobody called close()...
 *           try {
 *             serverSocket.close();
 *           } catch (IOException e) {
 *             ...
 *           }
 *         }
 *       }
 *     };
 *     references.add(reference);
 *     return myServer;
 *   }
 *
 *   @Override
 *   public void close() throws IOException {
 *     serverSocket.close();
 *   }
 * }
 * }
 *

        assertNull(result);

        updater.close();
    }

    @Test
    public void test_ProtwordsUpdater_fileCreationException() {
        // This test verifies that ProtwordsUpdater constructor properly handles exceptions
        // The actual exception handling is tested by ensuring the updater can be created
        // and properly closed even when errors might occur

        protwordsFile.reload(null);