*
     * @see jcifs.SmbResourceLocator#getParent()
     */
    @Override
    public String getParent() {
        String str = this.url.getAuthority();

        if (str != null && !str.isEmpty()) {
            final StringBuilder sb = new StringBuilder("smb://");

            sb.append(str);

            final String urlpath = getURLPath();
            if (urlpath.length() > 1) {
                sb.append(urlpath);

from typing import Annotated

from fastapi import FastAPI, Path

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    q: str, item_id: Annotated[int, Path(title="The ID of the item to get")]
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

from typing import Annotated

from fastapi import FastAPI, Path

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get")], q: str
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

    }

    @Test
    @DisplayName("Test toString representation")
    public void testToString() {
        String str = context.toString();
        assertNotNull(str);
        assertTrue(str.contains("CompressionNegotiateContext"));
        assertTrue(str.contains("LZ77"));
        assertTrue(str.contains("LZNT1"));
    }

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"),
    q: str | None = Query(default=None, alias="item-query"),
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

* 데이터 변환
* 데이터 검증
* 자동 문서화

## 특별한 타입과 검증 { #special-types-and-validation }

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

사용할 수 있는 모든 옵션을 보려면 [Pydantic의 Type Overview](https://docs.pydantic.dev/latest/concepts/types/)를 확인하세요. 다음 장에서 몇 가지 예제를 볼 수 있습니다.

예를 들어 `Image` 모델에는 `url` 필드가 있으므로, 이를 `str` 대신 Pydantic의 `HttpUrl` 인스턴스로 선언할 수 있습니다:

@router.get("/users/me", tags=["users"])
async def read_user_me():
    return {"username": "fakecurrentuser"}


@router.get("/users/{username}", tags=["users"])
async def read_user(username: str):

		expectedResult string
	}{
		{bf, "off"},
		{BoolFlag(true), "on"},
		{BoolFlag(false), "off"},
	}

	for _, testCase := range testCases {
		str := testCase.flag.String()
		if testCase.expectedResult != str {
			t.Fatalf("expected: %v, got: %v", testCase.expectedResult, str)
		}
	}
}

// Test BoolFlag.MarshalJSON()
func TestBoolFlagMarshalJSON(t *testing.T) {
	var bf BoolFlag

	testCases := []struct {

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient

app = FastAPI()


async def common_parameters(q: str | None = None, skip: int = 0, limit: int = 100):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: Annotated[dict, Depends(common_parameters)]):
    return {"message": "Hello Items!", "params": commons}

* Data conversion
* Data validation
* Automatic documentation

## Special types and validation { #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`.

To see all the options you have, checkout [Pydantic's Type Overview](https://docs.pydantic.dev/latest/concepts/types/). You will see some examples in the next chapter.