That's why in this example we have to declare it in the `response_model` parameter.

...but continue reading below to see how to overcome that.

## Return Type and Data Filtering

しかし例外ハンドラで処理されない例外を発生させた場合は、依存関係の終了コードで処理されます。

///

## コンテキストマネージャ

### 「コンテキストマネージャ」とは

「コンテキストマネージャ」とは、`with`文の中で使用できるPythonオブジェクトのことです。

例えば、<a href="https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files" class="external-link" target="_blank">ファイルを読み込むには`with`を使用することができます</a>:

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

   *
   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number
   * of values that will be added, if that knowledge is readily available. It is better to guess a
   * value slightly too high than slightly too low. If the value is not exact, the {@link
   * ImmutableIntArray} that is built will very likely occupy more memory than strictly necessary;

    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {
    // Make a copy so that we can mutate it.

        collectValueFromNonCancelledFuture(index, future);
      }
    } finally {
      /*
       * "null" means: There is no need to access `futures` again during
       * `processCompleted` because we're reading each value during a call to
       * handleOneInputDone.
       */
      decrementCountAndMaybeComplete(null);
    }
  }

  /**

    private Reader transform(Reader in) throws IOException {
        if (jqueryFiles == null || releaseNotesJavascript == null || baseCss == null || releaseNotesCss == null) {
            throw new GradleException("filter isn't ready to transform");
        }

        Document document = Jsoup.parse(CharStreams.toString(in));
        document.outputSettings().indentAmount(2).prettyPrint(true);

		// Put it back and read it again.
		if err = r.UnreadRune(); err != nil {
			t.Fatal("unexpected error on UnreadRune:", err)
		}
		r2, _, err := r.ReadRune()
		if err != nil {
			t.Fatal("unexpected error reading after unreading:", err)
		}
		if r1 != r2 {
			t.Fatalf("incorrect rune after unread: got %c, want %c", r1, r2)
		}
	}
	if got != want {
		t.Errorf("got %q, want %q", got, want)
	}
}

„Kontextmanager“ (Englisch „Context Manager“) sind bestimmte Python-Objekte, die Sie in einer `with`-Anweisung verwenden können.

Beispielsweise können Sie <a href="https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files" class="external-link" target="_blank">`with` verwenden, um eine Datei auszulesen</a>:

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

    # A Vocabulary for Basic Meta-Data Annotations
    title: Optional[str] = None
    description: Optional[str] = None
    default: Optional[Any] = None
    deprecated: Optional[bool] = None
    readOnly: Optional[bool] = None
    writeOnly: Optional[bool] = None
    examples: Optional[List[Any]] = None
    # Ref: OpenAPI 3.1.0: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#schema-object

			return
		}
		switch msgp.UnsafeString(field) {
		case "Curr":
			z.Curr, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "Curr")
				return
			}
		case "Avg":
			z.Avg, err = dc.ReadFloat32()
			if err != nil {
				err = msgp.WrapError(err, "Avg")
				return
			}
		case "Max":
			z.Max, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "Max")
				return
			}