여기서 그 경우를 볼 것입니다.

이 경우, `float` 값을 가진 `int` 키가 있는 모든 `dict`를 받아들입니다:

{* ../../docs_src/body_nested_models/tutorial009.py hl[15] *}

/// tip | 팁

JSON은 오직 `str`형 키만 지원한다는 것을 염두에 두세요.

하지만 Pydantic은 자동 데이터 변환이 있습니다.

즉, API 클라이언트가 문자열을 키로 보내더라도 해당 문자열이 순수한 정수를 포함하는한 Pydantic은 이를 변환하고 검증합니다.

그러므로 `weights`로 받은 `dict`는 실제로 `int` 키와 `float` 값을 가집니다.

///

## 요약

from fastapi.testclient import TestClient
from pydantic.dataclasses import dataclass

app = FastAPI()


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


@app.get("/items/invalid", response_model=Item)
def get_invalid():
    return {"name": "invalid", "price": "foo"}

Am häufigsten ist der „Implicit“-Flow.

Am sichersten ist der „Code“-Flow, die Implementierung ist jedoch komplexer, da mehr Schritte erforderlich sind. Da er komplexer ist, schlagen viele Anbieter letztendlich den „Implicit“-Flow vor.

/// note | Hinweis

        wrapperToPrimitiveMap.put(Short.class, Short.TYPE);
        wrapperToPrimitiveMap.put(Integer.class, Integer.TYPE);
        wrapperToPrimitiveMap.put(Long.class, Long.TYPE);
        wrapperToPrimitiveMap.put(Float.class, Float.TYPE);
        wrapperToPrimitiveMap.put(Double.class, Double.TYPE);

        primitiveToWrapperMap.put(Boolean.TYPE, Boolean.class);
        primitiveToWrapperMap.put(Character.TYPE, Character.class);

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: str,
    size: float = Query(gt=0, lt=10.5),
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})

    out.writeChar('a');
    out.writeShort((short) -30000);
    out.writeShort((short) 50000);
    out.writeInt(0xCAFEBABE);
    out.writeLong(0xDEADBEEFCAFEBABEL);
    out.writeUTF("Herby Derby");
    out.writeFloat(Float.intBitsToFloat(0xCAFEBABE));
    out.writeDouble(Double.longBitsToDouble(0xDEADBEEFCAFEBABEL));
  }

  public void testReadFully() throws IOException {

- Is small, focused, and easy to review—ideally one commit, unless multiple commits better narrate complex work.
- Adheres to MinIO’s coding standards (e.g., Go style, error handling, testing).

PRs must flow smoothly through review to reach production. Large PRs should be split into smaller, manageable ones.

## Submitting PRs

1. **Title and Summary**:

    //                                                                         ===========
    protected final ColumnInfo _columnBoost = cci("boost", "boost", null, null, Float.class, "boost", null, false, false, false, "Float", 0,
            0, null, null, false, null, null, null, null, null, false);

    assertEquals(0, Defaults.defaultValue(int.class).intValue());
    assertEquals(0, Defaults.defaultValue(long.class).longValue());
    assertEquals(0.0f, Defaults.defaultValue(float.class).floatValue());
    assertThat(Defaults.defaultValue(double.class).doubleValue()).isEqualTo(0.0d);
    assertThat(Defaults.defaultValue(void.class)).isNull();
    assertThat(Defaults.defaultValue(String.class)).isNull();
  }

        "type": "integer"
      },
      "intervalTime": {
        "type": "integer"
      },
      "timeToLive": {
        "type": "integer"
      },
      "boost": {
        "type": "float"
      },
      "available": {
        "type": "boolean"
      },
      "permissions": {
        "type": "keyword"
      },
      "virtualHosts": {
        "type": "keyword"
      },