<la:message key="labels.dict_stemmeroverride_title"/>
                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/dict">
                                <la:message key="labels.dict_list_link"/>
                            </la:link></li>

from fastapi import FastAPI
from pydantic.v1 import BaseModel


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


app = FastAPI()


@app.post("/items/")
async def create_item(item: Item) -> Item:

      "depth": {
        "type": "integer"
      },
      "parentUrl": {
        "type": "keyword"
      },
      "method": {
        "type": "keyword"
      },
      "weight": {
        "type": "float"
      },
      "createTime": {
        "type": "long"
      },
      "lastModified": {
        "type": "long"
      },
      "sessionId": {
        "type": "keyword"
      },
      "url": {

另一個實用情境是當你希望鍵是其他型別（例如，`int`）時。

這正是我們在此要示範的。

在此情況下，只要是擁有 `int` 鍵且對應 `float` 值的 `dict` 都會被接受：

{* ../../docs_src/body_nested_models/tutorial009_py310.py hl[7] *}

/// tip

請記住，JSON 只支援 `str` 作為鍵。

但 Pydantic 具有自動資料轉換。

這表示即使你的 API 用戶端只能以字串作為鍵，只要這些字串是純整數，Pydantic 會自動轉換並驗證它們。

而你作為 `weights` 所接收的 `dict`，實際上會擁有 `int` 鍵與 `float` 值。

///

## 總結 { #recap }

absl::Status SetAttrInt(AbstractOperation*, const char* attr_name,
                        int64_t value, ForwardOperation*);
absl::Status SetAttrFloat(AbstractOperation*, const char* attr_name,
                          float value, ForwardOperation*);
absl::Status SetAttrBool(AbstractOperation*, const char* attr_name, bool value,
                         ForwardOperation*);
absl::Status SetAttrType(AbstractOperation*, const char* attr_name,

from fastapi import FastAPI

app = FastAPI()


@app.post("/index-weights/")
async def create_index_weights(weights: dict[int, float]):

from fastapi.responses import ORJSONResponse, UJSONResponse
from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    price: float


# ORJSON


def _make_orjson_app() -> FastAPI:
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", FastAPIDeprecationWarning)

  values[0] = v;
  return TF_NewTensor(TF_DOUBLE, nullptr, 0, values, num_bytes,
                      &DoubleDeallocator, nullptr);
}

TF_Tensor* FloatTensor(float v) {
  const int num_bytes = sizeof(float);
  float* values = new float[1];
  values[0] = v;
  return TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes,
                      &FloatDeallocator, nullptr);
}

                            <la:message key="labels.dict_kuromoji_title"/>
                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="list">
                                <la:message key="labels.dict_list_link"/>
                            </la:link></li>

    type: SchemaType | list[SchemaType] | None = None
    enum: list[Any] | None = None
    const: Any | None = None
    multipleOf: float | None = Field(default=None, gt=0)
    maximum: float | None = None
    exclusiveMaximum: float | None = None
    minimum: float | None = None
    exclusiveMinimum: float | None = None
    maxLength: int | None = Field(default=None, ge=0)
    minLength: int | None = Field(default=None, ge=0)