Beispielsweise können Sie [„with“ verwenden, um eine Datei auszulesen](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files):

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

Im Hintergrund erstellt das `open("./somefile.txt")` ein Objekt, das als „Kontextmanager“ bezeichnet wird.

- `close()`: ファイルを閉じます。

これらはすべて `async` メソッドなので、`await` する必要があります。

例えば、`async` の *path operation 関数* 内では次のように内容を取得できます:

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

通常の `def` の *path operation 関数* 内にいる場合は、`UploadFile.file` に直接アクセスできます。例えば:

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

/// note | `async` の技術詳細

`async` メソッドを使うと、**FastAPI** はファイルメソッドをスレッドプールで実行し、その完了を待機します。

///

예를 들어, [with를 사용해 파일을 읽을 수 있습니다](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files):

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

내부적으로 `open("./somefile.txt")` 는 "컨텍스트 관리자(Context Manager)"라고 불리는 객체를 생성합니다.

`with` 블록이 끝나면, 예외가 발생했더라도 파일을 닫도록 보장합니다.

    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 }

Comme dans l'exemple ci-dessus nous avons obtenu `user_dict` depuis `user_in.model_dump()`, ce code :

```Python
user_dict = user_in.model_dump()
UserInDB(**user_dict)
```

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code

        // Given
        Configuration mockConfig = mock(Configuration.class);
        Smb2TreeDisconnectRequest request = new Smb2TreeDisconnectRequest(mockConfig);

        // Various buffer contents
        byte[] emptyBuffer = new byte[256];
        byte[] fullBuffer = createTestData(256);

        // When
        int emptyRead = request.readBytesWireFormat(emptyBuffer, 0);

import java.util.List;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.stream.Collector;
import org.jspecify.annotations.Nullable;

/**
 * A {@link RangeSet} whose contents will never change, with many other important properties
 * detailed at {@link ImmutableCollection}.
 *
 * @author Louis Wasserman
 * @since 14.0
 */

import java.io.Serializable;
import java.util.Map;
import org.jspecify.annotations.NonNull;
import org.jspecify.annotations.Nullable;

/**
 * A {@link ClassToInstanceMap} whose contents will never change, with many other important
 * properties detailed at {@link ImmutableCollection}.
 *
 * @author Kevin Bourrillion
 * @since 2.0
 */
@Immutable(containerOf = "B")
@GwtIncompatible

    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### Bir Pydantic Modelinden Diğerinin İçeriğiyle Pydantic Model Oluşturmak { #a-pydantic-model-from-the-contents-of-another }

Yukarıdaki örnekte `user_dict`'i `user_in.model_dump()` ile elde ettiğimiz için, şu kod:

```Python
user_dict = user_in.model_dump()
UserInDB(**user_dict)
```

şuna eşdeğerdir:

        fail(
            "contents were not equal and in the same order: "
                + "expected = "
                + expected
                + ", actual = "
                + actual);
      }
    }

    if (expectedIter.hasNext() || actualIter.hasNext()) {
      // actual either had too few or too many elements
      fail(
          "contents were not equal and in the same order: "