from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

     * Used in conjunction with the admin security principal.
     */
    @Size(max = 1000)
    public String ldapAdminSecurityCredentials;

    /**
     * LDAP base DN (Distinguished Name) for user searches.
     * Defines the root of the LDAP directory tree for user lookups.
     */
    @Size(max = 1000)
    public String ldapBaseDn;

    /**
     * LDAP filter for finding user accounts.

same. We’ve chosen Kotlin because it gives us powerful new capabilities while integrating closely
with Java.

We spent a lot of time and energy on retaining strict compatibility with OkHttp 3.x. We’re even
keeping the package name the same: `okhttp3`!

There are three kinds of compatibility we’re tracking:

 * **Binary compatibility** is the ability to compile a program against OkHttp 3.x, and then to run

	if !strings.EqualFold(from.Table.BaseKey.String(), baseTableName) {
		return errBadTableName(errors.New("table name must be `s3object`"))
	}

	if len(from.Table.PathExpr) > 0 {
		if !from.Table.PathExpr[0].ArrayWildcard {
			return errBadTableName(errors.New("keypath table name is invalid - please check the service documentation"))
		}
	}
	return nil
}

func parseLimit(v *LitValue) (int64, error) {

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User):

		timer.Reset(globalAPIConfig.getStaleUploadsCleanupInterval())
	}
}

type auditObjectOp struct {
	Name string `json:"name"`
	Pool int    `json:"poolId"`
	Set  int    `json:"setId"`
}

func (op auditObjectOp) String() string {
	// Flatten the auditObjectOp
	return fmt.Sprintf("name=%s,pool=%d,set=%d", op.Name, op.Pool, op.Set)
}

// Add erasure set information to the current context

        assertEquals(SmbComTransaction.NET_SERVER_ENUM2, subCommand);
    }

    @Test
    @DisplayName("Test with very long domain name")
    void testVeryLongDomainName() {
        String longDomain = "A".repeat(256); // Very long domain name
        netServerEnum2 = new NetServerEnum2(realConfig, longDomain, NetServerEnum2.SV_TYPE_ALL);

        byte[] dst = new byte[2048];

Möglicherweise stellen Sie fest, dass Sie zum Erstellen einer Instanz einer Python-Klasse die gleiche Syntax verwenden.

Zum Beispiel:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In diesem Fall ist `fluffy` eine Instanz der Klasse `Cat`.

Und um `fluffy` zu erzeugen, rufen Sie `Cat` auf.

Eine Python-Klasse ist also auch ein **Callable**.

---

Ми лише трішки доторкнулися до коду, але Ви вже маєте уявлення про те, як все працює.

Спробуйте змінити рядок:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

...із:

```Python
        ... "item_name": item.name ...
```

...на:

```Python
        ... "item_price": item.price ...
```

///

{* ../../docs_src/response_model/tutorial005_py310.py hl[29,35] *}

/// tip | Dica

A sintaxe `{"name", "description"}` cria um `set` com esses dois valores.

É equivalente a `set(["name", "description"])`.

///

#### Usando `list`s em vez de `set`s { #using-lists-instead-of-sets }