from typing import Annotated

from fastapi import FastAPI, Path
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: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str | None = None,
    item: Item | None = None,

from fastapi import FastAPI, Path
from pydantic import BaseModel

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: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: Union[str, None] = None,

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: float = 10.5


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",

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
    tags: set[str] = set()


@app.post(
    "/items/",
    response_model=Item,
    summary="Create an item",
    response_description="The created item",
)
async def create_item(item: Item):
    """

    @Override
    protected String getQueryClassName() {
        return BooleanQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final BooleanQuery booleanQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("BooleanQuery: query={}, boost={}", query, boost);
            }

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.post(
    "/items/",
    response_model=Item,
    summary="Create an item",
    response_description="The created item",
)

		return v, nil
	case simdjson.TypeFloat:
		v, err := iter.Float()
		if err != nil {
			return nil, err
		}
		return v, nil
	case simdjson.TypeInt:
		v, err := iter.Int()
		if err != nil {
			return nil, err
		}
		return v, nil
	case simdjson.TypeUint:
		v, err := iter.Int()
		if err != nil {
			// Can't fit into int, convert to float.
			v, err := iter.Float()
			return v, err
		}
		return v, nil

# 追加データ型

今までは、以下のような一般的なデータ型を使用してきました:

* `int`
* `float`
* `str`
* `bool`

しかし、より複雑なデータ型を使用することもできます。

そして、今まで見てきたのと同じ機能を持つことになります:

* 素晴らしいエディタのサポート
* 受信したリクエストからのデータ変換
* レスポンスデータのデータ変換
* データの検証
* 自動注釈と文書化

## 他のデータ型

ここでは、使用できる追加のデータ型のいくつかを紹介します:

* `UUID`:
    * 多くのデータベースやシステムで共通のIDとして使用される、標準的な「ユニバーサルにユニークな識別子」です。
    * リクエストとレスポンスでは`str`として表現されます。
* `datetime.datetime`:

  }

  /**
   * Returns the value of this {@code UnsignedLong} as a {@code float}, analogous to a widening
   * primitive conversion from {@code long} to {@code float}, and correctly rounded.
   */
  @Override
  public float floatValue() {
    if (value >= 0) {
      return (float) value;
    }
    // The top bit is set, which means that the float value is going to come from the top 24 bits.

    }

    public void setBoost_Equal(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Equal(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setBoost_Term(boost, opLambda);
    }

    public void setBoost_Term(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Term(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {