DebugV   bool
)

func init() {
	flag.Var(&D, "D", "predefined symbol with optional simple value -D=identifier=value; can be set multiple times")
	flag.Var(&I, "I", "include directory; can be set multiple times")
	flag.BoolVar(&DebugV, "v", false, "print debug output")
	flag.Var(objabi.NewDebugFlag(&DebugFlags, nil), "d", "enable debugging settings; try -d help")
	objabi.AddVersionFlag() // -V

func init() {
	flag.StringVar(&stsEndpoint, "sts-ep", "http://localhost:9000", "STS endpoint")
	flag.StringVar(&ldapUsername, "u", "", "AD/LDAP Username")
	flag.StringVar(&ldapPassword, "p", "", "AD/LDAP Password")
	flag.BoolVar(&displayCreds, "d", false, "Only show generated credentials")
	flag.DurationVar(&expiryDuration, "e", 0, "Request a duration of validity for the generated credential")

	flag.StringVar(&deploymentID, "deployment-id", "", "MinIO deployment ID, obtained from 'format.json'")
	flag.IntVar(&setCount, "set-count", 0, "Total set count")
	flag.IntVar(&shards, "shards", 0, "Total shards count")
	flag.BoolVar(&verbose, "v", false, "Display all objects")

	flag.Parse()

	if deploymentID == "" {
		log.Fatalln("deployment ID is mandatory")
	}

	if setCount == 0 {
		log.Fatalln("set count cannot be zero")
	}

///

## Conversion des types des paramètres de requête

Vous pouvez aussi déclarer des paramètres de requête comme booléens (`bool`), **FastAPI** les convertira :

{* ../../docs_src/query_params/tutorial003.py hl[9] *}

Avec ce code, en allant sur :

```
http://127.0.0.1:8000/items/foo?short=1
```

ou

```

        try {
            final RESULT result = entityType.newInstance();
            result.setAvailable(DfTypeUtil.toBoolean(source.get("available")));
            result.setBoost(DfTypeUtil.toFloat(source.get("boost")));
            result.setConfigParameter(DfTypeUtil.toString(source.get("configParameter")));

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI will use this return type to:

* **Validate** the returned data.

Hierbei können Sie **Typannotationen** genauso verwenden, wie Sie es bei Werten von Funktions-**Parametern** machen; verwenden Sie Pydantic-Modelle, Listen, Dicts und skalare Werte wie Nummern, Booleans, usw.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI wird diesen Rückgabetyp verwenden, um:

* Die zurückzugebenden Daten zu **validieren**.

pkg go/types, const Int64 BasicKind
pkg go/types, const Int8 = 3
pkg go/types, const Int8 BasicKind
pkg go/types, const Invalid = 0
pkg go/types, const Invalid BasicKind
pkg go/types, const IsBoolean = 1
pkg go/types, const IsBoolean BasicInfo
pkg go/types, const IsComplex = 16
pkg go/types, const IsComplex BasicInfo
pkg go/types, const IsConstType = 59
pkg go/types, const IsConstType BasicInfo
pkg go/types, const IsFloat = 8

**Анотацію типу** можна вказати так само як і для вхідних **параметрів** функції: це можуть бути моделі Pydantic, списки (lists), словники (dictionaries), скалярні значення, як-от цілі числа (integers), булеві значення (booleans) тощо.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI використовуватиме цей тип, щоб:

* **Перевірити правильність** повернених даних.

Você pode usar **anotações de tipo** da mesma forma que usaria para dados de entrada em **parâmetros** de função, você pode usar modelos Pydantic, listas, dicionários, valores escalares como inteiros, booleanos, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

O FastAPI usará este tipo de retorno para:

* **Validar** os dados retornados.