Esto se puede usar como un atajo rápido si solo tienes un modelo de Pydantic y quieres eliminar algunos datos de la salida.

/// tip | Consejo

Pero todavía se recomienda usar las ideas anteriores, usando múltiples clases, en lugar de estos parámetros.

    * Se você conhece os tipos do Python, você sabe como usar o Pydantic.
* Vai bem com o/a seu/sua **<abbr title="Ambiente de Desenvolvimento Integrado, similar a um editor de código">IDE</abbr>/<abbr title="Um programa que confere erros de código">linter</abbr>/cérebro**:

   *
   * - The map has not switched to delegating to a java.util implementation to mitigate hash
   *   flooding. Callers can confirm this by null-checking delegateOrNull().
   *
   * In an ideal world, we would document why we know those things are true every time we call these
   * methods. But that is a bit too painful....
   */

  private Object requireTable() {
    return requireNonNull(table);
  }

    * Automatische client code generatie systemen, voor vele talen.
* Biedt 2 interactieve documentatie-webinterfaces aan.

---

Dit was nog maar een snel overzicht, maar je zou nu toch al een idee moeten hebben over hoe het allemaal werkt.

Probeer deze regel te veranderen:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

...van:

```Python

    * Sistemas de clientes de geração de código automáticos, para muitas linguagens.
* Fornecer diretamente 2 interfaces _web_ de documentação interativa.

---

Nós apenas arranhamos a superfície, mas você já tem idéia de como tudo funciona.

Experimente mudar a seguinte linha:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

...de:

```Python
        ... "item_name": item.name ...

    --hash=sha256:fb267ce4b83f9c42560e9ff4d30f60f7ae492eacf9c7ede849edf8c1b860e16b
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   keras-nightly
idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
    # via requests
jax==0.4.7 \

    --hash=sha256:fb267ce4b83f9c42560e9ff4d30f60f7ae492eacf9c7ede849edf8c1b860e16b
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   keras-nightly
idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
    # via requests
jax==0.4.7 \

    --hash=sha256:fb267ce4b83f9c42560e9ff4d30f60f7ae492eacf9c7ede849edf8c1b860e16b
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   keras-nightly
idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
    # via requests
importlib-metadata==8.6.1 \

* **어렵지 않은 언어**:
    * 새로운 스키마 정의 마이크로 언어를 배우지 않아도 됩니다.
    * 여러분이 파이썬 타입을 안다면, 여러분은 Pydantic을 어떻게 사용하는지 아는 겁니다.
* 여러분의 **<abbr title="통합 개발 환경, 코드 편집기와 비슷합니다">IDE</abbr>/<abbr title="코드 에러를 확인하는 프로그램">린터</abbr>/뇌**와 잘 어울립니다:
    * Pydantic 데이터 구조는 단순 여러분이 정의한 클래스의 인스턴스이기 때문에, 자동 완성, 린팅, mypy 그리고 여러분의 직관까지 여러분의 검증된 데이터와 올바르게 작동합니다.
* **복잡한 구조**를 검증합니다:

		{"lol", true},
		{"1-this-is-valid", true},
		{"1-this-too-is-valid-1", true},
		{"this.works.too.1", true},
		{"1234567", true},
		{"123", true},
		{"s3-eu-west-1.amazonaws.com", true},
		{"ideas-are-more-powerful-than-guns", true},
		{"testbucket", true},
		{"1bucket", true},
		{"bucket1", true},
		{"a.b", true},
		{"ab.a.bc", true},
		// cases for which test should fail.