from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    item_id: int,
    item: Item = Body(
        examples=[
            {
                "name": "Foo",
                "description": "A very nice Item",

    public void test_toString() {
        final SearchResult result = SearchResult.create().allRecordCount(100).queryTime(50).build();

        final String str = result.toString();
        assertNotNull(str);
        assertTrue(str.contains("allRecordCount=100"));
        assertTrue(str.contains("queryTime=50"));
    }

    /**
     * Test SearchResult with all fields populated.
     */
    @Test

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


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

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item = Body(
        examples=[
            {
                "name": "Foo",
                "description": "A very nice Item",

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            examples=[
                {

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            openapi_examples={

        circuitBreaker.call(() -> "success");

        SimpleCircuitBreaker.Statistics stats = circuitBreaker.getStatistics();
        String str = stats.toString();

        assertNotNull(str);
        assertTrue(str.contains("test"));
        assertTrue(str.contains("CLOSED"));
        assertTrue(str.contains("100.00%"));
    }

    @Test
    @DisplayName("Test mixed success and failure pattern")

* Валидацию данных
* Автоматическую документацию

## Особые типы и валидация { #special-types-and-validation }

Помимо обычных простых типов, таких как `str`, `int`, `float` и т.д., вы можете использовать более сложные простые типы, которые наследуются от `str`.

		} else {
			args[key] = values
		}
	}

	// JWT specific values
	//
	// Add all string claims
	for k, v := range claims {
		vStr, ok := v.(string)
		if ok {
			// Trim any LDAP specific prefix
			args[strings.ToLower(strings.TrimPrefix(k, "ldap"))] = []string{vStr}
		}
	}

	// Add groups claim which could be a list. This will ensure that the claim
	// `jwt:groups` works.

   *
   * {@snippet :
   * static final Multimap<Character, String> FIRST_LETTER_MULTIMAP =
   *     Stream.of("banana", "apple", "carrot", "asparagus", "cherry")
   *         .collect(toImmutableListMultimap(str -> str.charAt(0), str -> str.substring(1)));
   *
   * // is equivalent to
   *
   * static final Multimap<Character, String> FIRST_LETTER_MULTIMAP =
   *     new ImmutableListMultimap.Builder<Character, String>()