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samples/slack/src/main/java/okhttp3/slack/OAuthSession.java
public final String scope; public final String user_id; public final String team_name; public final String team_id; public OAuthSession( boolean ok, String accessToken, String scope, String userId, String teamName, String teamId) { this.ok = ok; this.access_token = accessToken; this.scope = scope; this.user_id = userId; this.team_name = teamName; this.team_id = teamId; }
Registered: Fri Dec 26 11:42:13 UTC 2025 - Last Modified: Sun Oct 23 15:24:22 UTC 2016 - 1.4K bytes - Viewed (0) -
docs/en/docs/tutorial/extra-models.md
### About `**user_in.model_dump()` { #about-user-in-model-dump } #### Pydantic's `.model_dump()` { #pydantics-model-dump } `user_in` is a Pydantic model of class `UserIn`. Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data. So, if we create a Pydantic object `user_in` like: ```Python
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 6.9K bytes - Viewed (0) -
docs/zh/docs/tutorial/extra-models.md
### `**user_in.dict()` 简介 #### Pydantic 的 `.dict()` `user_in` 是类 `UserIn` 的 Pydantic 模型。 Pydantic 模型支持 `.dict()` 方法,能返回包含模型数据的**字典**。 因此,如果使用如下方式创建 Pydantic 对象 `user_in`: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` 就能以如下方式调用: ```Python user_dict = user_in.dict() ```
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 5.7K bytes - Viewed (0) -
src/main/java/jcifs/pac/PacLogonInfo.java
} // Compute User IDs with Domain ID to get User SIDs // First extra is user if userId is empty if (!userId.isEmpty() && !userId.isBlank()) { this.userSid = new SID(domainId, userId); } else if (this.extraSids.length > 0) { this.userSid = this.extraSids[0]; } this.groupSid = new SID(domainId, groupId);Registered: Sat Dec 20 13:44:44 UTC 2025 - Last Modified: Sat Aug 16 01:32:48 UTC 2025 - 14.3K bytes - Viewed (0) -
docs/de/docs/tutorial/extra-models.md
Da wir im obigen Beispiel `user_dict` von `user_in.model_dump()` bekommen haben, wäre dieser Code: ```Python user_dict = user_in.model_dump() UserInDB(**user_dict) ``` gleichwertig zu: ```Python UserInDB(**user_in.model_dump()) ```
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 24 10:28:19 UTC 2025 - 8K bytes - Viewed (0) -
docs/ru/docs/tutorial/extra-models.md
/// ### Про `**user_in.dict()` { #about-user-in-dict } #### `.dict()` из Pydantic { #pydantics-dict } `user_in` - это Pydantic-модель класса `UserIn`. У Pydantic-моделей есть метод `.dict()`, который возвращает `dict` с данными модели. Поэтому, если мы создадим Pydantic-объект `user_in` таким способом: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***")
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Sep 30 11:24:39 UTC 2025 - 11.5K bytes - Viewed (0) -
docs/es/docs/tutorial/extra-models.md
/// ### Acerca de `**user_in.dict()` { #about-user-in-dict } #### `.dict()` de Pydantic { #pydantics-dict } `user_in` es un modelo Pydantic de la clase `UserIn`. Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo. Así que, si creamos un objeto Pydantic `user_in` como: ```Python
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:33:45 UTC 2025 - 7.6K bytes - Viewed (0) -
docs/pt/docs/tutorial/extra-models.md
/// ### Sobre `**user_in.dict()` { #about-user-in-dict } #### O `.dict()` do Pydantic { #pydantics-dict } `user_in` é um modelo Pydantic da classe `UserIn`. Os modelos Pydantic possuem um método `.dict()` que retorna um `dict` com os dados do modelo. Então, se criarmos um objeto Pydantic `user_in` como: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***")
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Nov 12 16:23:57 UTC 2025 - 7.5K bytes - Viewed (0) -
docs/ko/docs/tutorial/extra-models.md
/// ### `**user_in.dict()` 에 대하여 #### Pydantic의 `.dict()` `user_in`은 Pydantic 모델 클래스인 `UserIn`입니다. Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.dict()` 메서드를 제공합니다. 따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` 그 다음, 다음과 같이 호출합니다:
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Fri May 30 13:38:33 UTC 2025 - 8.4K bytes - Viewed (0) -
src/test/java/org/codelibs/core/lang/StringUtilTest.java
assertNull(StringUtil.camelize(null)); assertEquals("Emp", StringUtil.camelize("EMP")); assertEquals("AaaBbb", StringUtil.camelize("AAA_BBB")); assertEquals("UserId", StringUtil.camelize("USER_ID")); } /** * @throws Exception */ @Test public void testDecamelize() throws Exception { assertNull(StringUtil.decamelize(null));
Registered: Sat Dec 20 08:55:33 UTC 2025 - Last Modified: Sat Nov 22 11:21:59 UTC 2025 - 11.4K bytes - Viewed (0)