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docs/pt/docs/advanced/path-operation-advanced-configuration.md
Se você quiser utilizar o nome das funções da sua API como `operationId`s, você pode iterar sobre todos esses nomes e sobrescrever o `operationId` em cada *operação de rota* utilizando o `APIRoute.name` dela. Você deve fazer isso depois de adicionar todas as suas *operações de rota*. {* ../../docs_src/path_operation_advanced_configuration/tutorial002.py hl[2,12:21,24] *} /// tip | Dica
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 8.3K bytes - Viewed (0) -
cmd/object-api-multipart_test.go
// Valid object and bucket names but non-existent bucket. {bucketName: "abc", objName: "def", uploadID: resN.UploadID, PartID: 1, expectedError: fmt.Errorf("%s", "Bucket not found: abc")}, // Test Case - 7. // Existing bucket, but using a bucket on which NewMultipartUpload is not Initiated. {bucketName: "unused-bucket", objName: "def", uploadID: "xyz", PartID: 1, expectedError: fmt.Errorf("%s", "Invalid upload id xyz")}, // Test Case - 8.
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 89.4K bytes - Viewed (0) -
docs/es/docs/features.md
Escribes Python estándar con tipos: ```Python from datetime import date from pydantic import BaseModel # Declara una variable como un str # y obtiene 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 ``` Que luego puede ser usado como: ```Python
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Dec 30 17:46:44 UTC 2024 - 10.4K bytes - Viewed (0) -
docs/em/docs/tutorial/bigger-applications.md
```Python hl_lines="5-10 16 21" title="app/routers/items.py" {!../../docs_src/bigger_applications/app/routers/items.py!} ``` ➡ 🔠 *➡ 🛠️* ✔️ ▶️ ⏮️ `/`, 💖: ```Python hl_lines="1" @router.get("/{item_id}") async def read_item(item_id: str): ... ``` ...🔡 🔜 🚫 🔌 🏁 `/`. , 🔡 👉 💼 `/items`. 👥 💪 🚮 📇 `tags` & ➕ `responses` 👈 🔜 ✔ 🌐 *➡ 🛠️* 🔌 👉 📻.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun May 11 13:37:26 UTC 2025 - 15.5K bytes - Viewed (0) -
docs/ja/docs/advanced/custom-response.md
これにはクラウドストレージとの連携や映像処理など、多くのライブラリが含まれています。 {* ../../docs_src/custom_response/tutorial008.py hl[2,10:12,14] *} /// tip | 豆知識 ここでは `async` や `await` をサポートしていない標準の `open()` を使っているので、通常の `def` でpath operationを宣言していることに注意してください。 /// ### `FileResponse` レスポンスとしてファイルを非同期的にストリームします。 他のレスポンスタイプとは異なる引数のセットを受け取りインスタンス化します。 * `path` - ストリームするファイルのファイルパス。
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 10.4K bytes - Viewed (0) -
docs/ko/docs/advanced/custom-response.md
이 방식을 사용하면 `with` 블록 안에서 파일을 열 수 있어, 작업이 완료된 후 파일과 같은 객체가 닫히는 것을 보장할 수 있습니다. /// tip | 팁 여기서 표준 `open()`을 사용하고 있기 때문에 `async`와 `await`를 지원하지 않습니다. 따라서 경로 작업은 일반 `def`로 선언합니다. /// ### `FileResponse` 파일을 비동기로 스트리밍하여 응답합니다. 다른 응답 유형과는 다른 인수를 사용하여 객체를 생성합니다: * `path` - 스트리밍할 파일의 경로. * `headers` - 딕셔너리 형식의 사용자 정의 헤더.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Feb 15 11:21:20 UTC 2025 - 13.4K bytes - Viewed (0) -
docs/tr/docs/features.md
```Python from typing import List, Dict from datetime import date from pydantic import BaseModel # Değişkeni str olarak belirt # ve o fonksiyon için harika bir editör desteği al def main(user_id: str): return user_id # Pydantic modeli class User(BaseModel): id: int name: str joined: date ``` Sonrasında bu şekilde kullanabilirsin ```Python
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 11.1K bytes - Viewed (0) -
docs/pl/docs/features.md
Wystarczy, że napiszesz standardowe deklaracje typów Pythona: ```Python from datetime import date from pydantic import BaseModel # Zadeklaruj parametr jako str # i uzyskaj wsparcie edytora wewnątrz funkcji def main(user_id: str): return user_id # Model Pydantic class User(BaseModel): id: int name: str joined: date ``` A one będą mogły zostać później użyte w następujący sposób:
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 10.9K bytes - Viewed (0) -
docs/de/docs/features.md
```Python 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
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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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