primitiveTypes.add("byte");
        primitiveTypes.add("short");
        primitiveTypes.add("int");
        primitiveTypes.add("long");
        primitiveTypes.add("char");
        primitiveTypes.add("float");
        primitiveTypes.add("double");
        primitiveTypes.add("void");
    }

    public LinkRenderer(Document document, DslDocModel model) {
        this(document, model, GroovySystem.getVersion(), "8");
    }

                } else if (parameterType.equals(Double.TYPE)) {
                    methodKey.append("java.lang.Double");
                } else if (parameterType.equals(Float.TYPE)) {
                    methodKey.append("java.lang.Float");
                } else if (parameterType.equals(Integer.TYPE)) {
                    methodKey.append("java.lang.Integer");
                } else if (parameterType.equals(Long.TYPE)) {

## 响应模型编码参数

你的响应模型可以具有默认值，例如：

{* ../../docs_src/response_model/tutorial004.py hl[11,13:14] *}

* `description: Union[str, None] = None` 具有默认值 `None`。
* `tax: float = 10.5` 具有默认值 `10.5`.
* `tags: List[str] = []` 具有一个空列表作为默认值： `[]`.

但如果它们并没有存储实际的值，你可能想从结果中忽略它们的默认值。

举个例子，当你在 NoSQL 数据库中保存了具有许多可选属性的模型，但你又不想发送充满默认值的很长的 JSON 响应。

### 使用 `response_model_exclude_unset` 参数

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

경로 매개변수 `item_id`는 `int`가 아닌 `"foo"` 값이기 때문입니다.

`int`가 아닌 `float`을 전달하는 경우에도 동일한 오류가 나타납니다: <a href="http://127.0.0.1:8000/items/4.2" class="external-link" target="_blank">http://127.0.0.1:8000/items/4.2</a>

/// check | 확인

즉, 파이썬 타입 선언을 하면 **FastAPI**는 데이터 검증을 합니다.

func NewRecord(f sql.SelectObjectFormat) *Record {
	return &Record{
		KVS:          jstream.KVS{},
		SelectFormat: f,
	}
}

// jsonFloat converts a float to string similar to Go stdlib formats json floats.
func jsonFloat(f float64) string {
	var tmp [32]byte
	dst := tmp[:0]

	// Convert as if by ES6 number to string conversion.
	// This matches most other JSON generators.

		},
		{
			name:       "select-in-number-float",
			query:      `SELECT * from s3object s WHERE 3 in s.numbers[*]`,
			wantResult: `{"id":2,"title":"Second Record","desc":"another text","numbers":[2,3,4]}`,
		},
		{
			name:       "select-in-number-float-in-sql",
			query:      `SELECT * from s3object s WHERE 3.0 in s.numbers[*]`,

  static final int DEFAULT_NODE_COUNT = 10;
  static final int DEFAULT_EDGE_COUNT = DEFAULT_NODE_COUNT * EXPECTED_DEGREE;

  // Load factor and capacity for "inner" (i.e. per node/edge element) hash sets or maps
  static final float INNER_LOAD_FACTOR = 1.0f;
  static final int INNER_CAPACITY = 2; // ceiling(EXPECTED_DEGREE / INNER_LOAD_FACTOR)

  // Error messages
  static final String NODE_NOT_IN_GRAPH = "Node %s is not an element of this graph.";

from typing import Optional

from fastapi import FastAPI
from fastapi.testclient import TestClient

app = FastAPI()


@dataclass
class Item:
    name: str
    date: datetime
    price: Optional[float] = None
    owner_ids: Optional[list[int]] = None


@app.get("/items/valid", response_model=Item)
def get_valid():
    return {"name": "valid", "date": datetime(2021, 7, 26), "price": 1.0}

from fastapi import FastAPI
from pydantic import BaseModel, Field
from starlette.testclient import TestClient

app = FastAPI()


class Item(BaseModel):
    name: str = Field(alias="aliased_name")
    price: Optional[float] = None
    owner_ids: Optional[list[int]] = None


@app.get("/items/valid", response_model=Item)
def get_valid():
    return Item(aliased_name="valid", price=1.0)

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py39.py hl[10] *}

## Validações numéricas: floats, maior que e menor que { #number-validations-floats-greater-than-and-less-than }

Validações numéricas também funcionam para valores `float`.