*
 * <p>The caches produced by {@code CacheBuilder} are serializable, and the deserialized caches
 * retain all the configuration properties of the original cache. Note that the serialized form does
 * <i>not</i> include cache contents, but only configuration.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caching</a> for a higher-level
 * explanation.
 *

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common:release_cpu_macos --config=avx_linux

# Base build configs for macOS
common:release_macos_base --config=clang_local
common:release_macos_base --action_env  DEVELOPER_DIR=/Applications/Xcode.app/Contents/Developer
common:release_macos_base --define=no_nccl_support=true --output_filter=^$

# Ensure release_base is set on mac
common:release_macos_base --config=release_base

# Build configs for macOS x86

* `close()`: 파일을 닫습니다.

상기 모든 메소드들이 `async` 메소드이기 때문에 “await”을 사용하여야 합니다.

예를들어, `async` *경로 처리 함수*의 내부에서 다음과 같은 방식으로 내용을 가져올 수 있습니다:

```Python
contents = await myfile.read()
```

만약 일반적인 `def` *경로 처리 함수*의 내부라면, 다음과 같이 `UploadFile.file` 에 직접 접근할 수 있습니다:

```Python
contents = myfile.file.read()
```

/// note | `async` 기술 세부사항

`async` 메소드들을 사용할 때 **FastAPI**는 스레드풀에서 파일 메소드들을 실행하고 그들을 기다립니다.

///

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.index.contents.document;

import static org.codelibs.opensearch.runner.OpenSearchRunner.newConfigs;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;

import java.util.Collections;

            final String content = getStringValue(doc, "content");
            final String description = getStringValue(doc, "content_description");
            String descText = StringUtil.isNotBlank(content) ? content : description;
            descText = sanitizeDocumentContent(stripHtmlTags(descText));

Por exemplo, [você pode utilizar `with` para ler um arquivo](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files):

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Por baixo dos panos, o código `open("./somefile.txt")` cria um objeto que é chamado de "Gerenciador de Contexto".

		}
		xl.sortByModTime()
		if !sort.SliceIsSorted(xl.versions, func(i, j int) bool {
			return xl.versions[i].header.ModTime > xl.versions[j].header.ModTime
		}) {
			t.Errorf("Contents not sorted")
		}
		for i := range xl.versions {
			hdr := xl.versions[i].header
			ver, err := xl.getIdx(i)
			if err != nil {
				t.Error(err)
				continue
			}
			gotHdr := ver.header()

Ou plus exactement, en utilisant `user_dict` directement, quels que soient ses contenus futurs :

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### Créer un modèle Pydantic à partir du contenu d'un autre { #a-pydantic-model-from-the-contents-of-another }

Например, [можно использовать `with` для чтения файла](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files):

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Под капотом вызов `open("./somefile.txt")` создаёт объект, называемый «контекстным менеджером».

Когда блок `with` завершается, он обязательно закрывает файл, даже если были исключения.