from fastapi import FastAPI


@dataclass
class Item:
    name: str
    price: float
    tags: list[str] = field(default_factory=list)
    description: str | None = None
    tax: float | None = None


app = FastAPI()


@app.get("/items/next", response_model=Item)
async def read_next_item():
    return {
        "name": "Island In The Moon",
        "price": 12.99,

from pydantic import BaseModel

app = FastAPI()


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

    model_config = {
        "json_schema_extra": {
            "examples": [
                {
                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,

    /** The key of the configuration. e.g. dict */
    String ONLINE_HELP_NAME_DICT = "online.help.name.dict";

    /** The key of the configuration. e.g. kuromoji */
    String ONLINE_HELP_NAME_DICT_KUROMOJI = "online.help.name.dict.kuromoji";

    /** The key of the configuration. e.g. protwords */
    String ONLINE_HELP_NAME_DICT_PROTWORDS = "online.help.name.dict.protwords";

      mockServerClient
        .`when`(
          request()
            .withPath("/person")
            .withQueryStringParameter("name", "peter"),
        ).respond(response().withBody("Peter the person!"))

      val response = client.newCall(Request((mockServer.endpoint + "/person?name=peter").toHttpUrl())).execute()

      assertThat(response.body.string()).contains("Peter the person")
    }
  }

  @Test

    /**
     * Adds a script engine.
     * @param name The name of the script engine.
     * @param scriptEngine The script engine.
     */
    public void add(final String name, final ScriptEngine scriptEngine) {
        if (name == null || scriptEngine == null) {
            throw new IllegalArgumentException(
                    "Both name and scriptEngine parameters are required. name: " + name + ", scriptEngine: " + scriptEngine);
        }

    ],
)

cc_library(
    name = "abstract_op_attrs",
    hdrs = ["abstract_op_attrs.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "@com_google_absl//absl/container:inlined_vector",
    ],
)

cc_library(
    name = "abstract_operation",
    hdrs = ["abstract_operation.h"],

    /**
     * Adds a property to the HTTP client configuration.
     *
     * @param name The property name
     * @param value The property value
     */
    public void addHttpClientProperty(final String name, final Object value) {
        if (StringUtil.isNotBlank(name) && value != null) {
            httpClientPropertyMap.put(name, value);
        }
    }

    /**
     * Processes robots.txt for the given URL.

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Image(BaseModel):
    url: str
    name: str


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


@app.put("/items/{item_id}")

from pydantic.v1 import BaseModel

app = FastAPI()


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

    class Config:
        schema_extra = {
            "examples": [
                {
                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,

app = FastAPI()


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


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