def say_hi(name: Optional[str]):
    print(f"Hey {name}!")
```

參數 `name` 被標註為 `Optional[str]`，但它並不是可選的；你不能在沒有該參數的情況下呼叫這個函式：

```Python
say_hi()  # 糟了，這會拋出錯誤！😱
```

參數 `name` 仍是必填（不是可選），因為它沒有預設值。不過，`name` 可以接受 `None` 作為值：

```Python
say_hi(name=None)  # 這可行，None 是有效的 🎉
```

好消息是，多數情況下你可以直接用 `|` 來定義型別聯集：

```python
def say_hi(name: str | None):
    print(f"Hey {name}!")
```

  - type: dropdown
    id: source
    attributes:
      label: Source
      description: TensorFlow installed from

			newTestSuiteIAM(bt, true),
		)
	}
	for i, testCase := range testCases {
		etcdStr := ""
		if testCase.withEtcdBackend {
			etcdStr = " (with etcd backend)"
		}
		t.Run(
			fmt.Sprintf("Test: %d, ServerType: %s%s", i+1, testCase.serverType, etcdStr),
			func(t *testing.T) {
				runAllIAMConcurrencyTests(testCase, &check{t, testCase.serverType})
			},
		)
	}
}

		Transport:       globalRemoteTargetTransport,
		TrailingHeaders: true,
	}
	client, err := minio.New(u.Host, opts)
	if err != nil {
		return nil, err
	}
	client.SetAppInfo(fmt.Sprintf("minio-tier-%s", tier), ReleaseTag)

	core := &minio.Core{Client: client}
	return &warmBackendMinIO{
		warmBackendS3{
			client: client,
			core:   core,
			Bucket: conf.Bucket,

			expectedResult: true,
		},
	}

	for i, tc := range testCases {
		t.Run(fmt.Sprintf("Test_%d", i+1), func(t *testing.T) {
			cfg, err := ParseConfig(bytes.NewReader([]byte(tc.inputConfig)))
			if err != nil {
				t.Fatalf("Got unexpected error: %v", err)
			}

	case reg >= loong64.REG_X0 && reg <= loong64.REG_X31:
		simdType = loong64.LASX
		simdReg = reg - loong64.REG_X0
	default:
		return errors.New("Loong64 extension: invalid LSX/LASX register: " + fmt.Sprintf("%d", reg))
	}

	if isIndex {
		arngType, ok = loong64ElemExtMap[ext]
		if !ok {
			return errors.New("Loong64 extension: invalid LSX/LASX arrangement type: " + ext)
		}

		a.Reg = loong64.REG_ELEM

			tests = append(tests, test{
				name: fmt.Sprint(a.GetTypeString(), "==", b.GetTypeString()),
				fields: fields{
					a: *a, b: *b,
				},
				wantOk: i == j,
			})
		}
	}
	for i := range valueBuilders {
		a := valueBuilders[i]()
		for j := range altValueBuilders {
			b := altValueBuilders[j]()
			tests = append(tests, test{
				name: fmt.Sprint(a.GetTypeString(), "!=", b.GetTypeString()),

else
  "$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
fi
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.

from fastapi import Depends, FastAPI

app = FastAPI()


def get_username():
    try:
        yield "Rick"
    finally:
        print("Cleanup up before response is sent")


@app.get("/users/me")
def get_user_me(username: str = Depends(get_username, scope="function")):

from typing import Annotated

from fastapi import Depends, FastAPI

app = FastAPI()


def get_username():
    try:
        yield "Rick"
    finally:
        print("Cleanup up before response is sent")


@app.get("/users/me")
def get_user_me(username: Annotated[str, Depends(get_username, scope="function")]):