"name": "The Foo live"
    }
}
```

다시 한번, **FastAPI**를 사용하여 해당 선언을 함으로써 얻는 것은:

* 중첩 모델도 편집기 지원(자동완성 등)
* 데이터 변환
* 데이터 검증
* 자동 문서화

## 특별한 타입과 검증

`str`, `int`, `float` 등과 같은 단일 타입과는 별개로, `str`을 상속하는 더 복잡한 단일 타입을 사용할 수 있습니다.

모든 옵션을 보려면, <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic's exotic types</a> 문서를 확인하세요. 다음 장에서 몇가지 예제를 볼 수 있습니다.

* Editor support (completion, etc.), even for nested models
* Data conversion
* Data validation
* Automatic documentation

## Special types and validation

Apart from normal singular types like `str`, `int`, `float`, etc. you can use more complex singular types that inherit from `str`.

  @Override
  void writeShort(int v);

  @Override
  void writeChar(int v);

  @Override
  void writeInt(int v);

  @Override
  void writeLong(long v);

  @Override
  void writeFloat(float v);

  @Override
  void writeDouble(double v);

  @Override
  void writeChars(String s);

  @Override
  void writeUTF(String s);

  /**

	UnixMillisecond TimeType = 3
	UnixNanosecond  TimeType = 4
)

// GORM fields types
const (
	Bool   DataType = "bool"
	Int    DataType = "int"
	Uint   DataType = "uint"
	Float  DataType = "float"
	String DataType = "string"
	Time   DataType = "time"
	Bytes  DataType = "bytes"
)

const DefaultAutoIncrementIncrement int64 = 1

// Field is the representation of model schema's field

/**
 * @author higa
 *
 */
public class FloatConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */
    public void testToFloat() throws Exception {
        assertEquals(new Float("1000.5"), FloatConversionUtil.toFloat("1,000.5"));
    }

    /**
     * @throws Exception
     */
    public void testToPrimitiveFloat() throws Exception {

    public SuggestRequestBuilder setSuggestDetail(final boolean suggestDetail) {
        request.setSuggestDetail(suggestDetail);
        return this;
    }

    public SuggestRequestBuilder setPrefixMatchWeight(final float prefixMatchWeight) {
        request.setPrefixMatchWeight(prefixMatchWeight);
        return this;
    }

    public SuggestRequestBuilder setMatchWordFirst(final boolean matchWordFirst) {

from typing import List, Optional

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None
    owner_ids: Optional[List[int]] = None


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


@app.get("/items/coerce", response_model=Item)

    public String handlerParameter;

    @CustomSize(maxKey = "form.admin.max.input.size")
    public String handlerScript;

    @Required
    @ValidateTypeFailure
    public Float boost;

    @Required
    @Size(max = 5)
    public String available;

    @CustomSize(maxKey = "form.admin.max.input.size")
    public String permissions;

    @CustomSize(maxKey = "form.admin.max.input.size")

  @Override
  void writeShort(int v);

  @Override
  void writeChar(int v);

  @Override
  void writeInt(int v);

  @Override
  void writeLong(long v);

  @Override
  void writeFloat(float v);

  @Override
  void writeDouble(double v);

  @Override
  void writeChars(String s);

  @Override
  void writeUTF(String s);

  /**

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

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (logger.isDebugEnabled()) {
            logger.debug("{}:{}", query, boost);
        }
        return QueryBuilders.matchAllQuery();
    }