- Sort Score
- Num 10 results
- Language All
Results 1291 - 1300 of 1,317 for intA (0.02 seconds)
-
cmd/admin-handlers-users_test.go
for i := range 3 { err := s.client.MakeBucket(ctx, fmt.Sprintf("bucket%d", i+1), minio.MakeBucketOptions{}) if err != nil { c.Fatalf("bucket create error: %v", err) } defer func(i int) { _ = s.client.RemoveBucket(ctx, fmt.Sprintf("bucket%d", i+1)) }(i) } allow2BucketsPolicyBytes := []byte(`{ "Version": "2012-10-17", "Statement": [ {Created: Sun Dec 28 19:28:13 GMT 2025 - Last Modified: Wed Oct 15 17:00:45 GMT 2025 - 50.6K bytes - Click Count (0) -
docs/fr/docs/alternatives.md
La validation des données est une autre fonctionnalité importante dont ont besoin les API. Elle permet de s'assurer que les données sont valides, compte tenu de certains paramètres. Par exemple, qu'un champ est un `int`, et non un string. Ceci est particulièrement utile pour les données entrantes. Sans un système de validation des données, vous devriez effectuer toutes les vérifications à la main, dans le code.
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Oct 11 17:48:49 GMT 2025 - 27.5K bytes - Click Count (0) -
docs/de/docs/deployment/docker.md
from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None): return {"item_id": item_id, "q": q} ``` ### Dockerfile { #dockerfile } Erstellen Sie nun im selben Projektverzeichnis eine Datei `Dockerfile` mit:
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Dec 02 17:32:56 GMT 2025 - 33.6K bytes - Click Count (0) -
association.go
if association.Error == nil { association.Error = association.buildCondition().Count(&count).Error } return } type assignBack struct { Source reflect.Value Index int Dest reflect.Value } func (association *Association) saveAssociation(clear bool, values ...interface{}) { var ( reflectValue = association.DB.Statement.ReflectValueCreated: Sun Dec 28 09:35:17 GMT 2025 - Last Modified: Sun Oct 26 12:09:12 GMT 2025 - 23.6K bytes - Click Count (0) -
docs/en/docs/release-notes.md
from typing import Annotated, Literal from fastapi import FastAPI, Query from pydantic import BaseModel, Field app = FastAPI() class FilterParams(BaseModel): limit: int = Field(100, gt=0, le=100) offset: int = Field(0, ge=0) order_by: Literal["created_at", "updated_at"] = "created_at" tags: list[str] = [] @app.get("/items/")
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 27 19:06:15 GMT 2025 - 586.7K bytes - Click Count (0) -
docs/de/docs/alternatives.md
Eine weitere wichtige Funktion, benötigt von APIs, ist die Datenvalidierung, welche sicherstellt, dass die Daten unter gegebenen Umständen gültig sind. Zum Beispiel, dass ein Feld ein `int` ist und kein zufälliger String. Das ist besonders nützlich für hereinkommende Daten. Ohne ein Datenvalidierungssystem müssten Sie alle Prüfungen manuell im Code durchführen.
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Oct 11 17:48:49 GMT 2025 - 27.4K bytes - Click Count (0) -
fastapi/dependencies/utils.py
*, flat_dependant: Dependant, name: str, embed_body_fields: bool ) -> Optional[ModelField]: """ Get a ModelField representing the request body for a path operation, combining all body parameters into a single field if necessary. Used to check if it's form data (with `isinstance(body_field, params.Form)`) or JSON and to generate the JSON Schema for a request body.
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 27 12:54:56 GMT 2025 - 37.6K bytes - Click Count (3) -
docs/es/docs/deployment/docker.md
from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None): return {"item_id": item_id, "q": q} ``` ### Dockerfile { #dockerfile } Ahora, en el mismo directorio del proyecto, crea un archivo `Dockerfile` con:
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Dec 16 16:33:45 GMT 2025 - 32K bytes - Click Count (0) -
docs/ru/docs/alternatives.md
Ещё одна важная возможность, востребованная API, — валидация данных: убеждаться, что данные валидны с учётом заданных параметров. Например, что какое-то поле — `int`, а не произвольная строка. Это особенно полезно для входящих данных. Без системы валидации данных вам пришлось бы выполнять все проверки вручную в коде.
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Oct 11 17:48:49 GMT 2025 - 38.5K bytes - Click Count (0) -
cmd/admin-bucket-handlers.go
} } // Initialize a zip writer which will provide a zipped content // of bucket metadata zipWriter := zip.NewWriter(w) defer zipWriter.Close() rawDataFn := func(r io.Reader, filename string, sz int) { header, zerr := zip.FileInfoHeader(dummyFileInfo{ name: filename, size: int64(sz), mode: 0o600, modTime: time.Now(), isDir: false, sys: nil, }) if zerr == nil {
Created: Sun Dec 28 19:28:13 GMT 2025 - Last Modified: Tue Feb 18 16:25:55 GMT 2025 - 33.3K bytes - Click Count (0)