username: Union[str, None] = None
    scopes: List[str] = []


class User(BaseModel):
    username: str
    email: Union[str, None] = None
    full_name: Union[str, None] = None
    disabled: Union[bool, None] = None


class UserInDB(User):
    hashed_password: str


pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")

oauth2_scheme = OAuth2PasswordBearer(
    tokenUrl="token",

    username: Union[str, None] = None
    scopes: List[str] = []


class User(BaseModel):
    username: str
    email: Union[str, None] = None
    full_name: Union[str, None] = None
    disabled: Union[bool, None] = None


class UserInDB(User):
    hashed_password: str


pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")

oauth2_scheme = OAuth2PasswordBearer(
    tokenUrl="token",

			}
			if !found {
				t.Errorf("Expected %s, got %s", test.expectedFields, gotFields)
			}
		})
	}
}

func TestValidRegion(t *testing.T) {
	tests := []struct {
		name    string
		success bool
	}{
		{name: "us-east-1", success: true},
		{name: "us_east", success: true},
		{name: "helloWorld", success: true},
		{name: "-fdslka", success: false},
		{name: "^00[", success: false},

```Python hl_lines="2  7 8 9 10  23 24 25"
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: bool = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

func newTestReaderEOF(data []byte) io.Reader {
	return &testOneByteReadEOF{false, data}
}

// OneByteReadEOF - implements io.Reader which returns 1 byte along with io.EOF error.
type testOneByteReadEOF struct {
	eof  bool
	data []byte
}

func (r *testOneByteReadEOF) Read(p []byte) (n int, err error) {
	if r.eof {
		return 0, io.EOF
	}
	n = copy(p, r.data)
	r.eof = true
	return n, io.EOF
}

# 追加データ型

今までは、以下のような一般的なデータ型を使用してきました:

* `int`
* `float`
* `str`
* `bool`

しかし、より複雑なデータ型を使用することもできます。

そして、今まで見てきたのと同じ機能を持つことになります:

* 素晴らしいエディタのサポート
* 受信したリクエストからのデータ変換
* レスポンスデータのデータ変換
* データの検証
* 自動注釈と文書化

## 他のデータ型

ここでは、使用できる追加のデータ型のいくつかを紹介します:

* `UUID`:
    * 多くのデータベースやシステムで共通のIDとして使用される、標準的な「ユニバーサルにユニークな識別子」です。
    * リクエストとレスポンスでは`str`として表現されます。
* `datetime.datetime`:

	}
}

// Tests validate metadata extraction from http headers.
func TestExtractMetadataHeaders(t *testing.T) {
	testCases := []struct {
		header     http.Header
		metadata   map[string]string
		shouldFail bool
	}{
		// Validate if there a known 'content-type'.
		{
			header: http.Header{
				"Content-Type": []string{"image/png"},
			},
			metadata: map[string]string{
				"content-type": "image/png",
			},

                </div>
            </la:form>
        </section>
    </div>
    <jsp:include page="/WEB-INF/view/common/admin/footer.jsp"></jsp:include>
</div>
<jsp:include page="/WEB-INF/view/common/admin/foot.jsp"></jsp:include>
</body>

}

// TokenReviewStatus is the result of the token authentication request.
message TokenReviewStatus {
  // Authenticated indicates that the token was associated with a known user.
  // +optional
  optional bool authenticated = 1;

  // User is the UserInfo associated with the provided token.
  // +optional
  optional UserInfo user = 2;

  // Audiences are audience identifiers chosen by the authenticator that are

        DfsReferralData dr = start;
        IOException last = null;
        do {
            if ( dr != null ) {
                targetDomain = dr.getDomain();
                host = dr.getServer().toLowerCase(Locale.ROOT);
                share = dr.getShare();
            }

            try {

                if ( this.nonPooled ) {
                    if ( log.isDebugEnabled() ) {