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docs/ru/docs/tutorial/dependencies/index.md
Например, у вас есть 4 API-эндпоинта (*операции пути*): - `/items/public/` - `/items/private/` - `/users/{user_id}/activate` - `/items/pro/` Тогда вы можете требовать разные права для каждого из них, используя зависимости и подзависимости: ```mermaid graph TB current_user(["current_user"])
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 17.6K bytes - Viewed (0) -
docs/em/docs/tutorial/dependencies/index.md
* `/items/public/` * `/items/private/` * `/users/{user_id}/activate` * `/items/pro/` ⤴️ 👆 💪 🚮 🎏 ✔ 📄 🔠 👫 ⏮️ 🔗 & 🎧-🔗: ```mermaid graph TB current_user(["current_user"]) active_user(["active_user"]) admin_user(["admin_user"]) paying_user(["paying_user"]) public["/items/public/"] private["/items/private/"] activate_user["/users/{user_id}/activate"] pro_items["/items/pro/"]
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 6.7K bytes - Viewed (0) -
docs/en/docs/tutorial/dependencies/index.md
For example, let's say you have 4 API endpoints (*path operations*): * `/items/public/` * `/items/private/` * `/users/{user_id}/activate` * `/items/pro/` then you could add different permission requirements for each of them just with dependencies and sub-dependencies: ```mermaid graph TB current_user(["current_user"])
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon Oct 28 11:18:17 UTC 2024 - 9.2K 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: Fri Nov 01 20:58:10 UTC 2024 - Last Modified: Thu Mar 07 01:59:08 UTC 2024 - 12K bytes - Viewed (0) -
docs/ja/docs/tutorial/dependencies/index.md
* `/items/public/` * `/items/private/` * `/users/{user_id}/activate` * `/items/pro/` そして、依存関係とサブ依存関係だけで、それぞれに異なるパーミッション要件を追加することができます: ```mermaid graph TB current_user(["current_user"]) active_user(["active_user"]) admin_user(["admin_user"]) paying_user(["paying_user"]) public["/items/public/"] private["/items/private/"] activate_user["/users/{user_id}/activate"] pro_items["/items/pro/"]
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 9.7K bytes - Viewed (0) -
tests/distinct_test.go
} dryDB := DB.Session(&gorm.Session{DryRun: true}) r := dryDB.Distinct("u.id, u.*").Table("user_speaks as s").Joins("inner join users as u on u.id = s.user_id").Where("s.language_code ='US' or s.language_code ='ES'").Find(&User{}) if !regexp.MustCompile(`SELECT DISTINCT u\.id, u\.\* FROM user_speaks as s inner join users as u`).MatchString(r.Statement.SQL.String()) {
Registered: Sun Nov 03 09:35:10 UTC 2024 - Last Modified: Thu Jan 06 07:02:53 UTC 2022 - 2.5K bytes - Viewed (0) -
tests/create_test.go
Registered: Sun Nov 03 09:35:10 UTC 2024 - Last Modified: Tue Mar 19 03:50:28 UTC 2024 - 26.4K bytes - Viewed (0) -
docs/es/docs/features.md
```Python from datetime import date from pydantic import BaseModel # Declaras la variable como un str # y obtienes soporte del editor dentro de la función def main(user_id: str): return user_id # Un modelo de Pydantic class User(BaseModel): id: int name: str joined: date ``` Este puede ser usado como: ```Python
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon Aug 19 18:15:21 UTC 2024 - 10.9K bytes - Viewed (0) -
docs/de/docs/features.md
from typing import List, Dict from datetime import date from pydantic import BaseModel # Deklarieren Sie eine Variable als ein `str` # und bekommen Sie Editor-Unterstütung innerhalb der Funktion def main(user_id: str): return user_id # Ein Pydantic-Modell class User(BaseModel): id: int name: str joined: date ``` Das kann nun wie folgt verwendet werden: ```Python
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Aug 15 23:30:12 UTC 2024 - 10.7K bytes - Viewed (0) -
docs/en/docs/features.md
You write standard Python with types: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` That can then be used like: ```Python
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