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},

# 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",
			},

}

// 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

//	    modify the user-agent.
//
//	Authorization:
//
//	    Is skipped for obvious reasons
var ignoredHeaders = map[string]bool{
	"Authorization": true,
	"User-Agent":    true,
}

// Headers to ignore in streaming v4
var ignoredStreamingHeaders = map[string]bool{
	"Authorization": true,
	"Content-Type":  true,
	"Content-Md5":   true,
	"User-Agent":    true,
}

        axesSizeProduct[i] = IntMath.checkedMultiply(axesSizeProduct[i + 1], axes.get(i).size());
      }
    } catch (ArithmeticException e) {
      throw new IllegalArgumentException(
          "Cartesian product too large; must have size at most Integer.MAX_VALUE");
    }
    this.axesSizeProduct = axesSizeProduct;
  }

  private int getAxisIndexForProductIndex(int index, int axis) {

   * returned.
   *
   * @throws IllegalArgumentException if another entry in the bucket has the same key and {@code
   *     throwIfDuplicateKeys} is true
   * @throws BucketOverflowException if this bucket has too many entries, which may indicate a hash
   *     flooding attack
   */
  @CanIgnoreReturnValue
  @CheckForNull
  static <K, V> ImmutableMapEntry<K, V> checkNoConflictInKeyBucket(
      Object key,

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


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


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

  }

  @GwtIncompatible // too slow
  public void testCombinationsExhaustively_startingFromExplicit() {
    testExhaustively(Ordering.explicit("a", "b", "c", "d"), "a", "b", "d");
  }

  @GwtIncompatible // too slow
  public void testCombinationsExhaustively_startingFromUsingToString() {
    testExhaustively(Ordering.usingToString(), 1, 12, 2);
  }

  @GwtIncompatible // too slow